Files
tk-factory-services/ai-service/services/report_service.py
Hyungi Ahn 2f7e083db0 feat: AI 서비스 MLX 듀얼 백엔드 및 모델 최적화
- MLX(맥미니 27B) 우선 → Ollama(조립컴 9B) fallback 구조
- pydantic-settings 기반 config 전환
- health check에 MLX 상태 추가
- 텍스트 모델 qwen3:8b → qwen3.5:9b-q8_0 변경

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 23:17:50 +09:00

103 lines
3.3 KiB
Python

import asyncio
import httpx
from services.ollama_client import ollama_client
from services.db_client import get_daily_qc_stats, get_issues_for_date
from services.utils import load_prompt
from config import settings
REPORT_PROMPT_PATH = "prompts/daily_report.txt"
async def _fetch_one(client: httpx.AsyncClient, url: str, params: dict, headers: dict):
try:
r = await client.get(url, params=params, headers=headers)
if r.status_code == 200:
return r.json()
except Exception:
pass
return None
async def _fetch_system1_data(date_str: str, token: str) -> dict:
headers = {"Authorization": f"Bearer {token}"}
params = {"date": date_str}
base = settings.SYSTEM1_API_URL
try:
async with httpx.AsyncClient(timeout=15.0) as client:
attendance, work_reports, patrol = await asyncio.gather(
_fetch_one(client, f"{base}/api/attendance/daily-status", params, headers),
_fetch_one(client, f"{base}/api/daily-work-reports/summary", params, headers),
_fetch_one(client, f"{base}/api/patrol/today-status", params, headers),
)
except Exception:
attendance = work_reports = patrol = None
return {"attendance": attendance, "work_reports": work_reports, "patrol": patrol}
def _format_attendance(data) -> str:
if not data:
return "데이터 없음"
if isinstance(data, dict):
parts = []
for k, v in data.items():
parts.append(f" {k}: {v}")
return "\n".join(parts)
return str(data)
def _format_work_reports(data) -> str:
if not data:
return "데이터 없음"
return str(data)
def _format_qc_issues(issues: list[dict], stats: dict) -> str:
lines = []
lines.append(f"전체: {stats.get('total', 0)}")
lines.append(f"금일 신규: {stats.get('new_today', 0)}")
lines.append(f"진행중: {stats.get('in_progress', 0)}")
lines.append(f"완료: {stats.get('completed', 0)}")
lines.append(f"미검토: {stats.get('pending', 0)}")
if issues:
lines.append("\n금일 신규 이슈:")
for iss in issues[:10]:
cat = iss.get("category", "")
desc = (iss.get("description") or "")[:50]
status = iss.get("review_status", "")
lines.append(f" - [{cat}] {desc} (상태: {status})")
return "\n".join(lines)
def _format_patrol(data) -> str:
if not data:
return "데이터 없음"
return str(data)
async def generate_daily_report(
date_str: str, project_id: int = None, token: str = ""
) -> dict:
system1_data = await _fetch_system1_data(date_str, token)
qc_stats = get_daily_qc_stats(date_str)
qc_issues = get_issues_for_date(date_str)
template = load_prompt(REPORT_PROMPT_PATH)
prompt = template.format(
date=date_str,
attendance_data=_format_attendance(system1_data["attendance"]),
work_report_data=_format_work_reports(system1_data["work_reports"]),
qc_issue_data=_format_qc_issues(qc_issues, qc_stats),
patrol_data=_format_patrol(system1_data["patrol"]),
)
report_text = await ollama_client.generate_text(prompt)
return {
"date": date_str,
"report": report_text,
"stats": {
"qc": qc_stats,
"new_issues_count": len(qc_issues),
},
}