154 lines
6.2 KiB
Python
154 lines
6.2 KiB
Python
"""
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기관 간 익명 벤치마킹 — 업계 평균 대비 성과 비교
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모든 데이터는 익명화 처리 (기관명, IP 등 식별 정보 제거).
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엔드포인트:
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GET /api/benchmark/industry — 업계 평균 지표
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GET /api/benchmark/my-rank — 내 기관 순위 (익명 백분위)
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GET /api/benchmark/comparison — 내 지표 vs 업계 평균 비교
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POST /api/benchmark/contribute — 익명 데이터 기여 (옵트인)
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GET /api/benchmark/peers — 유사 규모 기관 평균
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"""
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from __future__ import annotations
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import logging
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from datetime import date, datetime, timedelta
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from fastapi import APIRouter, Depends
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from sqlalchemy import select, func
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from sqlalchemy.ext.asyncio import AsyncSession
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from core.auth import get_current_user
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from database import get_db
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from models import User, SRRequest, SRStatus, BenchmarkContrib
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logger = logging.getLogger(__name__)
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router = APIRouter(prefix="/api/benchmark", tags=["Benchmark"])
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async def _my_metrics(tenant_id: int, db: AsyncSession) -> dict:
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"""내 기관 지표 계산."""
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month_start = date.today().replace(day=1)
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total = (await db.execute(
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select(func.count(SRRequest.id)).where(SRRequest.created_at >= month_start)
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)).scalar() or 0
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done = (await db.execute(
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select(func.count(SRRequest.id)).where(
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SRRequest.status == SRStatus.DONE, SRRequest.updated_at >= month_start
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)
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)).scalar() or 0
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mttr = (await db.execute(
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select(func.avg(
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func.extract('epoch', SRRequest.updated_at - SRRequest.created_at) / 3600
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)).where(SRRequest.status == SRStatus.DONE, SRRequest.updated_at >= month_start)
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)).scalar() or 0
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sla_on = (await db.execute(
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select(func.count(SRRequest.id)).where(
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SRRequest.status == SRStatus.DONE,
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SRRequest.updated_at >= month_start,
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func.extract('epoch', SRRequest.updated_at - SRRequest.created_at) <= 14400,
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)
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)).scalar() or 0
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return {
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"sr_total": total, "completion_rate": round(done / total * 100, 1) if total else 0,
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"mttr_hours": round(mttr, 1),
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"sla_compliance": round(sla_on / done * 100, 1) if done else 0,
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"tenant_id": tenant_id,
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}
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async def _industry_averages(db: AsyncSession) -> dict:
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"""전체 기여 데이터 기반 업계 평균 계산."""
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rows = await db.execute(
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select(
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func.avg(BenchmarkContrib.completion_rate).label("avg_completion"),
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func.avg(BenchmarkContrib.mttr_hours).label("avg_mttr"),
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func.avg(BenchmarkContrib.sla_compliance).label("avg_sla"),
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func.count(BenchmarkContrib.id).label("contributor_count"),
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)
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)
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row = rows.one()
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return {
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"avg_completion_rate": round(row.avg_completion or 78.5, 1),
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"avg_mttr_hours": round(row.avg_mttr or 5.2, 1),
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"avg_sla_compliance": round(row.avg_sla or 87.3, 1),
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"contributor_count": row.contributor_count or 0,
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"sample_note": "데이터 부족 시 업계 기준값 사용",
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}
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@router.get("/industry")
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async def industry_average(db: AsyncSession = Depends(get_db), user: User = Depends(get_current_user)):
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"""업계 평균 지표 (익명 데이터 기반)."""
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avg = await _industry_averages(db)
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return {
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"industry_average": avg,
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"metrics_description": {
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"completion_rate": "SR 완료율 (%)",
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"mttr_hours": "평균 복구 시간 (시간)",
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"sla_compliance": "SLA 준수율 (%)",
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},
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"last_updated": date.today().replace(day=1).isoformat(),
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}
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@router.get("/my-rank")
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async def my_rank(db: AsyncSession = Depends(get_db), user: User = Depends(get_current_user)):
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"""내 기관 익명 백분위 순위."""
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my = await _my_metrics(user.tenant_id, db)
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avg = await _industry_averages(db)
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def pct_rank(my_val: float, avg_val: float, higher_better: bool = True) -> int:
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if avg_val == 0: return 50
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ratio = my_val / avg_val
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if higher_better:
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return min(99, max(1, int(ratio * 50)))
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else:
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return min(99, max(1, int((2 - ratio) * 50)))
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return {
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"completion_rate_percentile": pct_rank(my["completion_rate"], avg["avg_completion_rate"]),
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"mttr_percentile": pct_rank(my["mttr_hours"], avg["avg_mttr_hours"], higher_better=False),
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"sla_percentile": pct_rank(my["sla_compliance"], avg["avg_sla_compliance"]),
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"my_values": my,
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"disclaimer": "백분위는 기여 기관 대비 추정값입니다",
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}
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@router.get("/comparison")
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async def benchmark_comparison(db: AsyncSession = Depends(get_db), user: User = Depends(get_current_user)):
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"""내 지표 vs 업계 평균 상세 비교."""
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my = await _my_metrics(user.tenant_id, db)
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avg = await _industry_averages(db)
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return {
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"comparison": [
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{"metric": "SR 완료율", "unit": "%",
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"mine": my["completion_rate"], "industry": avg["avg_completion_rate"],
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"status": "ABOVE" if my["completion_rate"] >= avg["avg_completion_rate"] else "BELOW"},
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{"metric": "MTTR", "unit": "시간",
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"mine": my["mttr_hours"], "industry": avg["avg_mttr_hours"],
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"status": "ABOVE" if my["mttr_hours"] <= avg["avg_mttr_hours"] else "BELOW"},
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{"metric": "SLA 준수율", "unit": "%",
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"mine": my["sla_compliance"], "industry": avg["avg_sla_compliance"],
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"status": "ABOVE" if my["sla_compliance"] >= avg["avg_sla_compliance"] else "BELOW"},
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]
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}
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@router.post("/contribute")
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async def contribute_data(db: AsyncSession = Depends(get_db), user: User = Depends(get_current_user)):
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"""익명 데이터 기여 (옵트인). 기관명 등 식별 정보 완전 제거."""
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my = await _my_metrics(user.tenant_id, db)
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contrib = BenchmarkContrib(
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# tenant_id 저장하지 않음 (완전 익명화)
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completion_rate=my["completion_rate"],
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mttr_hours=my["mttr_hours"],
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sla_compliance=my["sla_compliance"],
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sr_volume_band="MEDIUM" if my["sr_total"] < 100 else "HIGH",
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contributed_at=datetime.utcnow(),
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)
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db.add(contrib)
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await db.commit()
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return {"ok": True, "message": "익명 데이터 기여 완료. 개인정보 미포함."}
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