Files
dw.jang eb25c01c97 docs(tools): align_analyze.py 이관 + CH3 flicker fix Python replay 검증 결과
- tools/align_analyze.py 신규: AlignGuide4Stage 상태머신 Python 재현
  - `--both` 모드로 NEW (majority + relaxed + soft-hint) vs LEGACY (연속 3 hit)
    로직 병행 replay 지원
  - Kotlin AlignmentConstants (V_WIN/V_MAJ/L_WIN/L_MAJ/STUCK/SOFT) 값 그대로 매핑
- tools/README.md: align_analyze.py 사용법 + 파라미터 매핑 표 + data123/
  4 세션 검증 결과 표 (Phantom / Human 0·1·3 CM) 정리
- tools/labdb_upload.py 신규 추가 (기존 문서만 있고 실체 미커밋 상태였음)
- VesiScan_Android_Pipeline_Summary.md v7 patch (2026-07-13):
  align_analyze.py 도구 언급 + CH3 flicker fix 실측 검증 결과 요약

검증 결과 요약 (data123/ human 4 세션):
- Human 0CM (CH3 31.8%): LEGACY 즉시 회귀 → NEW flick 1/4 흡수 유지
- Human 1CM (CH3 77.3%): LEGACY idx15 oscillation → NEW idx13 조기 진입
- Human 3CM (CH3 97.2%): 양쪽 정상 (회귀 없음)
- Phantom: 양쪽 정상 (relaxed mode 오진입 없음)
2026-07-13 15:21:07 +09:00

271 lines
8.8 KiB
Python

"""
labdb 세션 폴더 일괄 업로드 스크립트.
앱이 만든 표준 세션 폴더 (measurement_<folder>.json 포함) 를 labdb REST API
로 업로드. app/src/main/java/com/medithings/vesiscan/services/labdb/
LabdbUploader.kt 의 buildPayload 로직을 그대로 Python 으로 옮긴 것.
사용법:
export LABDB_API_KEY=xbk_live_xxxxxxxxxxxxxxxx
python labdb_upload.py "C:/Users/장동우/Desktop/newdata"
옵션:
--api-key KEY apiKey 를 인자로 직접 전달 (env 없이)
--dry-run 전송하지 않고 payload 만 검증
--force 이미 labdb_upload.json 있어도 재업로드
--data-type XXX meta.data_type 없을 때 fallback (default: 001)
"""
from __future__ import annotations
import argparse
import hashlib
import json
import os
import re
import sys
from datetime import datetime, timezone, timedelta
from pathlib import Path
import urllib.request
import urllib.error
BASE_URL = "https://labdb.medithings.net/api/v1"
DEFAULT_DATA_TYPE = "001"
def sanitize_test_id(raw: str) -> str:
"""^[A-Za-z0-9_-]{1,40}$ 강제. 40자 초과 시 앞 31자 + '_' + 8자 SHA-1."""
cleaned = re.sub(r"[^A-Za-z0-9_-]", "_", raw)
if len(cleaned) <= 40:
return cleaned
h = hashlib.sha1(cleaned.encode()).hexdigest()[:8]
return cleaned[:31] + "_" + h
def iso_now_kst() -> str:
kst = timezone(timedelta(hours=9))
return datetime.now(kst).strftime("%Y-%m-%dT%H:%M:%S.") + \
f"{datetime.now(kst).microsecond // 1000:03d}+09:00"
def iso_from_ms(ms: int) -> str:
kst = timezone(timedelta(hours=9))
dt = datetime.fromtimestamp(ms / 1000, tz=kst)
return dt.strftime("%Y-%m-%dT%H:%M:%S.") + f"{dt.microsecond // 1000:03d}+09:00"
def cycle_to_record(cycle: dict, meta: dict) -> dict:
row_index = cycle.get("cycle", 0)
ts_ms = cycle.get("timestamp_ms", 0)
piezo = cycle.get("piezo") or {}
imu_arr = cycle.get("imu") or []
latest = imu_arr[-1] if imu_arr else None
sensor = {}
if latest:
sensor["imu"] = {k: latest.get(k, 0.0) for k in ("ax", "ay", "az", "gx", "gy", "gz")}
sensor["imu_samples"] = imu_arr
sensor["imu_sample_count"] = len(imu_arr)
channels = []
for ch in range(6):
data = piezo.get(f"CH{ch}")
if data is None:
continue
peak = 0
peak_idx = 0
for i, v in enumerate(data):
if v > peak:
peak = v
peak_idx = i
channels.append({"ch": ch, "peak": peak, "peakIdx": peak_idx, "data": data})
record = {
"rowIndex": row_index,
"datetime": iso_from_ms(ts_ms),
"commandType": "MTB",
"sensor": sensor,
"channels": channels,
}
for k in ("align_phase", "align_score", "align_hint", "align_icon",
"align_detected", "align_urine_lens"):
if k in cycle:
record[k] = cycle[k]
return record
def build_payload(folder_name: str, measurement: dict, default_data_type: str) -> dict:
meta = measurement.get("meta") or {}
cycles = measurement.get("cycles") or []
test_id = sanitize_test_id(folder_name)
data_type = (meta.get("data_type") or "").strip() or default_data_type
params = {
"posture": meta.get("posture", ""),
"step": meta.get("step", ""),
"is_alignment": meta.get("is_alignment", False),
"examiner": meta.get("examiner", ""),
"app_version": meta.get("app_version_name", ""),
"captured_cycles": len(cycles),
}
for k in ("subject_type", "subject", "firmware_version", "hardware_version",
"serial_number"):
v = meta.get(k)
if isinstance(v, str) and v.strip():
params[k] = v
for k in ("true_volume_ml", "abdomen_thickness_mm"):
if k in meta:
params[k] = meta[k]
payload = {
"testId": test_id,
"dataType": data_type,
"sessionName": folder_name,
"memo": meta.get("notes", ""),
"params": params,
"recordCount": len(cycles),
"records": [cycle_to_record(c, meta) for c in cycles],
}
ended_at = meta.get("ended_at")
if isinstance(ended_at, int) and ended_at > 0:
payload["savedAt"] = iso_from_ms(ended_at)
return payload
def post_upload(payload: dict, api_key: str) -> dict:
url = f"{BASE_URL}/upload/json"
data = json.dumps(payload, ensure_ascii=False).encode("utf-8")
req = urllib.request.Request(
url,
data=data,
method="POST",
headers={
"Content-Type": "application/json; charset=utf-8",
"X-API-Key": api_key,
},
)
try:
with urllib.request.urlopen(req, timeout=60) as resp:
body = resp.read().decode("utf-8")
return json.loads(body)
except urllib.error.HTTPError as e:
body = e.read().decode("utf-8", errors="replace")
try:
err = json.loads(body)
except Exception:
err = {"raw": body}
raise RuntimeError(f"HTTP {e.code}: {err}") from e
def find_measurement_json(folder: Path) -> Path | None:
named = folder / f"measurement_{folder.name}.json"
if named.exists():
return named
legacy = folder / "measurement.json"
if legacy.exists():
return legacy
for p in folder.glob("measurement_*.json"):
return p
return None
def upload_folder(folder: Path, api_key: str, default_data_type: str,
dry_run: bool, force: bool) -> tuple[bool, str]:
marker = folder / "labdb_upload.json"
if marker.exists() and not force:
return True, "already uploaded (skip)"
mfile = find_measurement_json(folder)
if mfile is None:
return False, "measurement json not found"
try:
measurement = json.loads(mfile.read_text(encoding="utf-8"))
except Exception as e:
return False, f"read/parse fail: {e}"
payload = build_payload(folder.name, measurement, default_data_type)
if dry_run:
return True, (f"payload OK: testId={payload['testId']} "
f"dataType={payload['dataType']} records={payload['recordCount']}")
try:
result = post_upload(payload, api_key)
except Exception as e:
err_body = {
"error": type(e).__name__,
"message": str(e),
"failedAt": iso_now_kst(),
}
(folder / "labdb_upload_error.json").write_text(
json.dumps(err_body, ensure_ascii=False, indent=2), encoding="utf-8")
return False, f"upload fail: {e}"
marker_body = {
"ok": result.get("ok", True),
"sessionId": result.get("sessionId", ""),
"created": result.get("created", False),
"totalRecords": result.get("totalRecords", payload["recordCount"]),
"inserted": result.get("inserted", 0),
"duplicates": result.get("duplicates", 0),
"errors": result.get("errors", []),
"uploadedAt": iso_now_kst(),
}
marker.write_text(json.dumps(marker_body, ensure_ascii=False, indent=2), encoding="utf-8")
(folder / "labdb_upload_error.json").unlink(missing_ok=True)
return True, (f"uploaded: {marker_body['inserted']}/{marker_body['totalRecords']} "
f"(dup={marker_body['duplicates']})")
def main() -> int:
ap = argparse.ArgumentParser()
ap.add_argument("root", help="세션 폴더들이 있는 최상위 디렉토리")
ap.add_argument("--api-key", default=os.environ.get("LABDB_API_KEY"),
help="labdb apiKey (env LABDB_API_KEY 도 가능)")
ap.add_argument("--dry-run", action="store_true")
ap.add_argument("--force", action="store_true",
help="labdb_upload.json 있어도 재전송")
ap.add_argument("--data-type", default=DEFAULT_DATA_TYPE)
args = ap.parse_args()
root = Path(args.root)
if not root.is_dir():
print(f"ERROR: {root} is not a directory", file=sys.stderr)
return 2
if not args.dry_run and not args.api_key:
print("ERROR: LABDB_API_KEY 미설정. env 또는 --api-key 필요", file=sys.stderr)
return 2
folders = sorted(p for p in root.iterdir() if p.is_dir())
if not folders:
print(f"no folders under {root}")
return 0
ok_count = 0
skip_count = 0
fail_count = 0
for f in folders:
ok, msg = upload_folder(f, args.api_key or "", args.data_type,
args.dry_run, args.force)
marker = "OK " if ok else "FAIL"
print(f"[{marker}] {f.name}: {msg}")
if ok:
if "skip" in msg:
skip_count += 1
else:
ok_count += 1
else:
fail_count += 1
print(f"\nsummary: {ok_count} uploaded, {skip_count} skipped, {fail_count} failed "
f"(total {len(folders)})")
return 0 if fail_count == 0 else 1
if __name__ == "__main__":
sys.exit(main())