Files
king fa1027fa1b feat(time): 프로젝트 전체 시간 KST(UTC+9) 통일
- app/timezone.py 신설: KST 고정오프셋(+9, DST 없음) + now_kst/today_kst/to_kst_iso
- DB 직렬화 created_at/updated_at/decided_at/uploaded_at 표시를 UTC→KST 로 변환
  (expense/cupang/vacation db.py)
- _now_iso(JSON 저장) KST 기준
- 라우터 date.today()/datetime.now() → today_kst()/now_kst() (달력 '오늘'/엑셀 파일명)

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-05-30 08:48:28 +09:00

627 lines
27 KiB
Python

"""cupang_db PostgreSQL 저장소.
- 드라이버: psycopg 3 (`psycopg[binary,pool]`) — expense 모듈과 동일 패턴.
- 연결 정보: 환경변수 `CUPANG_DB_URL`
(예: postgresql://cupang_app:<pwd>@postgres-db:5432/cupang_db)
- 스키마(테이블/인덱스/트리거/seed)는 앱이 만들지 않는다.
`scripts/sql/cupang_db_init.sql` 을 superuser 가 사전 적용한다.
앱 계정(cupang_app)은 SELECT/INSERT/UPDATE/DELETE 권한만 받는다.
- 연결 풀은 lazy open — 부팅 시 DB 가 잠시 끊겨도 컨테이너가 죽지 않게.
박스 수 계산은 서버에서 `store.compute_boxes` 로 재계산하여 저장한다.
클라이언트가 보낸 박스 수는 신뢰하지 않는다.
"""
from __future__ import annotations
from datetime import date, datetime, timezone
from typing import Any
from psycopg.rows import dict_row
from psycopg_pool import ConnectionPool
from app.timezone import KST
from .store import STATUSES, compute_boxes
class CupangDBStore:
def __init__(self, dsn: str, *, min_size: int = 1, max_size: int = 5):
self._pool = ConnectionPool(
conninfo=dsn,
min_size=min_size,
max_size=max_size,
kwargs={"row_factory": dict_row, "autocommit": True},
open=False,
)
self._pool.open(wait=False)
def close(self) -> None:
self._pool.close()
# ════════════════════════════════════════════════════════════
# 입고센터 (cupang_centers)
# ════════════════════════════════════════════════════════════
def list_centers(self, *, include_inactive: bool = False) -> list[dict[str, Any]]:
where = "" if include_inactive else "WHERE active = TRUE"
with self._pool.connection() as conn:
rows = conn.execute(
f"SELECT * FROM cupang_centers {where} "
"ORDER BY active DESC, sort_order ASC, name ASC"
).fetchall()
return [self._center_serialize(r) for r in rows]
def get_center(self, *, center_id: int) -> dict[str, Any] | None:
with self._pool.connection() as conn:
row = conn.execute(
"SELECT * FROM cupang_centers WHERE id = %s", (center_id,)
).fetchone()
return self._center_serialize(row) if row else None
def create_center(self, *, name: str, sort_order: int = 0) -> dict[str, Any]:
name = (name or "").strip()
if not name:
raise ValueError("센터명 필수")
with self._pool.connection() as conn:
row = conn.execute(
"""
INSERT INTO cupang_centers (name, sort_order)
VALUES (%s, %s)
ON CONFLICT (name) DO UPDATE
SET active = TRUE, sort_order = EXCLUDED.sort_order
RETURNING *
""",
(name, sort_order),
).fetchone()
return self._center_serialize(row)
def update_center(
self,
*,
center_id: int,
name: str | None = None,
active: bool | None = None,
sort_order: int | None = None,
) -> dict[str, Any]:
sets: list[str] = []
params: list[Any] = []
if name is not None:
n = name.strip()
if not n:
raise ValueError("센터명은 비울 수 없습니다.")
sets.append("name = %s")
params.append(n)
if active is not None:
sets.append("active = %s")
params.append(bool(active))
if sort_order is not None:
sets.append("sort_order = %s")
params.append(int(sort_order))
if not sets:
raise ValueError("변경할 값이 없습니다.")
params.append(center_id)
with self._pool.connection() as conn:
row = conn.execute(
f"UPDATE cupang_centers SET {', '.join(sets)} "
"WHERE id = %s RETURNING *",
params,
).fetchone()
if not row:
raise KeyError(center_id)
return self._center_serialize(row)
def center_in_use(self, *, center_id: int) -> bool:
with self._pool.connection() as conn:
row = conn.execute(
"SELECT 1 FROM cupang_shipments WHERE center_id = %s LIMIT 1",
(center_id,),
).fetchone()
return row is not None
def delete_center(self, *, center_id: int) -> dict[str, Any]:
"""사용 중이면 hard delete 하지 않고 active=false 로 비활성화한다.
반환: {"deleted": bool, "deactivated": bool}
"""
if self.center_in_use(center_id=center_id):
self.update_center(center_id=center_id, active=False)
return {"deleted": False, "deactivated": True}
with self._pool.connection() as conn:
cur = conn.execute(
"DELETE FROM cupang_centers WHERE id = %s", (center_id,)
)
if cur.rowcount == 0:
raise KeyError(center_id)
return {"deleted": True, "deactivated": False}
# ════════════════════════════════════════════════════════════
# 박스 입수량 규칙 (cupang_box_rules)
# ════════════════════════════════════════════════════════════
def list_box_rules(self, *, include_inactive: bool = False) -> list[dict[str, Any]]:
where = "" if include_inactive else "WHERE active = TRUE"
with self._pool.connection() as conn:
rows = conn.execute(
f"SELECT * FROM cupang_box_rules {where} "
"ORDER BY product_code ASC"
).fetchall()
return [self._rule_serialize(r) for r in rows]
def upsert_box_rule(
self,
*,
product_code: str,
units_per_box: int,
product_name_snapshot: str = "",
box_name: str = "쿠팡박스",
memo: str = "",
) -> dict[str, Any]:
code = (product_code or "").strip()
if not code:
raise ValueError("제품코드 필수")
upb = int(units_per_box)
if upb <= 0:
raise ValueError("박스당 입수량은 1 이상이어야 합니다.")
with self._pool.connection() as conn:
row = conn.execute(
"""
INSERT INTO cupang_box_rules
(product_code, product_name_snapshot, box_name, units_per_box, memo)
VALUES (%s, %s, %s, %s, %s)
ON CONFLICT (product_code) DO UPDATE
SET product_name_snapshot = EXCLUDED.product_name_snapshot,
box_name = EXCLUDED.box_name,
units_per_box = EXCLUDED.units_per_box,
memo = EXCLUDED.memo,
active = TRUE
RETURNING *
""",
(code, product_name_snapshot.strip(), (box_name or "쿠팡박스").strip(), upb, memo.strip()),
).fetchone()
return self._rule_serialize(row)
def delete_box_rule(self, *, rule_id: int) -> None:
"""완전 삭제(hard). 라인의 box_rule_id 는 ON DELETE 미설정이므로
참조 중이면 FK 위반 가능 → 참조 라인의 box_rule_id 를 먼저 NULL 처리."""
with self._pool.connection() as conn:
with conn.transaction():
conn.execute(
"UPDATE cupang_shipment_lines SET box_rule_id = NULL WHERE box_rule_id = %s",
(rule_id,),
)
cur = conn.execute(
"DELETE FROM cupang_box_rules WHERE id = %s", (rule_id,)
)
if cur.rowcount == 0:
raise KeyError(rule_id)
# ════════════════════════════════════════════════════════════
# 제품명 카탈로그 (cupang_products)
# itemcode_db 에서 가져와 등록한 제품 목록. 폼의 제품명 드롭다운 소스.
# 제품명 선택 → product_code 자동 채움.
# ════════════════════════════════════════════════════════════
def list_products(self, *, include_inactive: bool = False) -> list[dict[str, Any]]:
where = "" if include_inactive else "WHERE active = TRUE"
with self._pool.connection() as conn:
rows = conn.execute(
f"SELECT * FROM cupang_products {where} "
"ORDER BY product_code ASC"
).fetchall()
return [self._product_serialize(r) for r in rows]
def upsert_product(
self, *, product_code: str, product_name: str, sort_order: int = 0
) -> dict[str, Any]:
code = (product_code or "").strip()
name = (product_name or "").strip()
if not code or not name:
raise ValueError("제품코드와 제품명 모두 필요합니다.")
with self._pool.connection() as conn:
row = conn.execute(
"""
INSERT INTO cupang_products (product_code, product_name, sort_order)
VALUES (%s, %s, %s)
ON CONFLICT (product_code) DO UPDATE
SET product_name = EXCLUDED.product_name,
sort_order = EXCLUDED.sort_order,
active = TRUE
RETURNING *
""",
(code, name, sort_order),
).fetchone()
return self._product_serialize(row)
def set_product_active(self, *, product_id: int, active: bool) -> None:
with self._pool.connection() as conn:
cur = conn.execute(
"UPDATE cupang_products SET active = %s WHERE id = %s",
(bool(active), product_id),
)
if cur.rowcount == 0:
raise KeyError(product_id)
def delete_product(self, *, product_id: int) -> None:
with self._pool.connection() as conn:
cur = conn.execute(
"DELETE FROM cupang_products WHERE id = %s", (product_id,)
)
if cur.rowcount == 0:
raise KeyError(product_id)
# ════════════════════════════════════════════════════════════
# 출고 묶음 (cupang_shipments + cupang_shipment_lines)
# ════════════════════════════════════════════════════════════
def list_shipments(
self,
*,
year: int | None = None,
month: int | None = None,
date_from: str | None = None,
date_to: str | None = None,
) -> list[dict[str, Any]]:
"""헤더 목록(라인 제외). 달력/리스트 표시에 사용.
year+month 가 주어지면 작성일/출고일/센터입고일 중 하나라도 해당 월에
걸치는 묶음을 모두 포함한다(달력 표시용).
"""
clauses: list[str] = []
params: list[Any] = []
if year and month:
clauses.append(
"(date_trunc('month', document_date) = make_date(%s, %s, 1)"
" OR date_trunc('month', ship_date) = make_date(%s, %s, 1)"
" OR date_trunc('month', center_arrival_date) = make_date(%s, %s, 1))"
)
params.extend([year, month, year, month, year, month])
if date_from:
clauses.append("ship_date >= %s")
params.append(date_from)
if date_to:
clauses.append("ship_date <= %s")
params.append(date_to)
where = ("WHERE " + " AND ".join(clauses)) if clauses else ""
with self._pool.connection() as conn:
rows = conn.execute(
f"SELECT * FROM cupang_shipments {where} "
"ORDER BY ship_date ASC, id ASC",
params,
).fetchall()
return [self._shipment_serialize(r) for r in rows]
def get_shipment(self, *, shipment_id: int, with_lines: bool = True) -> dict[str, Any] | None:
with self._pool.connection() as conn:
row = conn.execute(
"SELECT * FROM cupang_shipments WHERE id = %s", (shipment_id,)
).fetchone()
if not row:
return None
head = self._shipment_serialize(row)
if with_lines:
line_rows = conn.execute(
"SELECT * FROM cupang_shipment_lines WHERE shipment_id = %s "
"ORDER BY line_no ASC",
(shipment_id,),
).fetchall()
head["lines"] = [self._line_serialize(r) for r in line_rows]
return head
def create_shipment(
self, *, created_by: str, header: dict[str, Any], lines: list[dict[str, Any]]
) -> dict[str, Any]:
h = self._normalize_header(header)
norm_lines = self._normalize_lines(lines)
if not norm_lines:
raise ValueError("품목 라인이 최소 1개 필요합니다.")
with self._pool.connection() as conn:
with conn.transaction():
row = conn.execute(
"""
INSERT INTO cupang_shipments
(created_by, document_date, ship_date,
center_arrival_date, center_id, center_name_snapshot,
ship_method, outbound_summary, worker, status, memo)
VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)
RETURNING *
""",
(
created_by.lower().strip(),
h["document_date"],
h["ship_date"],
h["center_arrival_date"],
h["center_id"],
h["center_name_snapshot"],
h["ship_method"],
h["outbound_summary"],
h["worker"],
h["status"],
h["memo"],
),
).fetchone()
shipment_id = row["id"]
self._insert_lines(conn, shipment_id, norm_lines)
return self.get_shipment(shipment_id=shipment_id)
def update_shipment(
self, *, shipment_id: int, header: dict[str, Any], lines: list[dict[str, Any]]
) -> dict[str, Any]:
h = self._normalize_header(header)
norm_lines = self._normalize_lines(lines)
if not norm_lines:
raise ValueError("품목 라인이 최소 1개 필요합니다.")
with self._pool.connection() as conn:
with conn.transaction():
row = conn.execute(
"""
UPDATE cupang_shipments
SET document_date = %s, ship_date = %s,
center_arrival_date = %s, center_id = %s,
center_name_snapshot = %s, ship_method = %s,
outbound_summary = %s, worker = %s, memo = %s
WHERE id = %s
RETURNING *
""",
(
h["document_date"],
h["ship_date"],
h["center_arrival_date"],
h["center_id"],
h["center_name_snapshot"],
h["ship_method"],
h["outbound_summary"],
h["worker"],
h["memo"],
shipment_id,
),
).fetchone()
if not row:
raise KeyError(shipment_id)
# 라인 전체 교체 (CASCADE 아님 — 명시적 삭제 후 재삽입)
conn.execute(
"DELETE FROM cupang_shipment_lines WHERE shipment_id = %s",
(shipment_id,),
)
self._insert_lines(conn, shipment_id, norm_lines)
return self.get_shipment(shipment_id=shipment_id)
def set_status(self, *, shipment_id: int, status: str) -> dict[str, Any]:
if status not in STATUSES:
raise ValueError(f"허용되지 않는 상태: {status}")
with self._pool.connection() as conn:
row = conn.execute(
"UPDATE cupang_shipments SET status = %s WHERE id = %s RETURNING *",
(status, shipment_id),
).fetchone()
if not row:
raise KeyError(shipment_id)
return self._shipment_serialize(row)
def soft_delete(self, *, shipment_id: int) -> dict[str, Any]:
"""운영 안전을 위한 기본 삭제 — status='취소'."""
return self.set_status(shipment_id=shipment_id, status="취소")
def hard_delete(self, *, shipment_id: int) -> None:
"""완전 삭제(라인은 ON DELETE CASCADE). 취소 처리로 충분하므로 기본 미사용."""
with self._pool.connection() as conn:
cur = conn.execute(
"DELETE FROM cupang_shipments WHERE id = %s", (shipment_id,)
)
if cur.rowcount == 0:
raise KeyError(shipment_id)
def _insert_lines(self, conn: Any, shipment_id: int, lines: list[dict[str, Any]]) -> None:
for idx, ln in enumerate(lines, start=1):
calc = compute_boxes(ln["quantity"], ln.get("units_per_box"))
conn.execute(
"""
INSERT INTO cupang_shipment_lines
(shipment_id, line_no, product_code, product_name_snapshot,
quantity, box_rule_id, units_per_box, calculated_boxes,
remainder_units, manual_box_text, memo)
VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)
""",
(
shipment_id,
idx,
ln["product_code"],
ln["product_name_snapshot"],
ln["quantity"],
ln.get("box_rule_id"),
calc["units_per_box"],
calc["required_boxes"],
calc["remainder_units"],
ln.get("manual_box_text", ""),
ln.get("memo", ""),
),
)
# ════════════════════════════════════════════════════════════
# 달력 집계
# ════════════════════════════════════════════════════════════
def calendar_counts(self, *, year: int, month: int) -> dict[str, dict[str, int]]:
"""해당 월의 날짜별 작성/출고/입고 건수.
반환: { "YYYY-MM-DD": {"document": n, "ship": n, "arrival": n} }
취소 상태는 제외한다.
"""
first = (year, month)
out: dict[str, dict[str, int]] = {}
def _accumulate(rows: list[dict[str, Any]], key: str) -> None:
for r in rows:
d = r["d"]
ds = d.isoformat() if isinstance(d, date) else str(d)
out.setdefault(ds, {"document": 0, "ship": 0, "arrival": 0})
out[ds][key] = int(r["c"])
with self._pool.connection() as conn:
doc = conn.execute(
"SELECT document_date AS d, COUNT(*) AS c FROM cupang_shipments "
"WHERE status <> '취소' AND date_trunc('month', document_date) = make_date(%s,%s,1) "
"GROUP BY 1",
first,
).fetchall()
ship = conn.execute(
"SELECT ship_date AS d, COUNT(*) AS c FROM cupang_shipments "
"WHERE status <> '취소' AND date_trunc('month', ship_date) = make_date(%s,%s,1) "
"GROUP BY 1",
first,
).fetchall()
arr = conn.execute(
"SELECT center_arrival_date AS d, COUNT(*) AS c FROM cupang_shipments "
"WHERE status <> '취소' AND date_trunc('month', center_arrival_date) = make_date(%s,%s,1) "
"GROUP BY 1",
first,
).fetchall()
_accumulate(doc, "document")
_accumulate(ship, "ship")
_accumulate(arr, "arrival")
return out
# ════════════════════════════════════════════════════════════
# 정규화 / 직렬화 helpers
# ════════════════════════════════════════════════════════════
@staticmethod
def _normalize_header(header: dict[str, Any]) -> dict[str, Any]:
def _d(key: str) -> str:
v = str(header.get(key) or "").strip()
return v
document_date = _d("document_date")
ship_date = _d("ship_date")
center_arrival_date = _d("center_arrival_date")
if not document_date or not ship_date or not center_arrival_date:
raise ValueError("작성일/출고일/센터입고일은 필수입니다.")
status = str(header.get("status") or "작성중").strip()
if status not in STATUSES:
status = "작성중"
center_id_raw = header.get("center_id")
try:
center_id = int(center_id_raw) if center_id_raw not in (None, "", "0") else None
except (TypeError, ValueError):
center_id = None
return {
"document_date": document_date,
"ship_date": ship_date,
"center_arrival_date": center_arrival_date,
"center_id": center_id,
"center_name_snapshot": str(header.get("center_name_snapshot") or "").strip(),
"ship_method": str(header.get("ship_method") or "택배").strip() or "택배",
"outbound_summary": str(header.get("outbound_summary") or "").strip(),
"worker": str(header.get("worker") or "").strip(),
"status": status,
"memo": str(header.get("memo") or "").strip(),
}
@staticmethod
def _normalize_lines(lines: list[dict[str, Any]]) -> list[dict[str, Any]]:
out: list[dict[str, Any]] = []
for raw in lines or []:
code = str(raw.get("product_code") or "").strip()
name = str(raw.get("product_name_snapshot") or raw.get("product_name") or "").strip()
try:
qty = int(raw.get("quantity") or 0)
except (TypeError, ValueError):
qty = 0
if not code or qty <= 0:
continue # 빈 라인 스킵
upb_raw = raw.get("units_per_box")
try:
upb = int(upb_raw) if upb_raw not in (None, "", "0") else None
except (TypeError, ValueError):
upb = None
rule_id_raw = raw.get("box_rule_id")
try:
rule_id = int(rule_id_raw) if rule_id_raw not in (None, "") else None
except (TypeError, ValueError):
rule_id = None
out.append(
{
"product_code": code,
"product_name_snapshot": name or code,
"quantity": qty,
"units_per_box": upb,
"box_rule_id": rule_id,
"manual_box_text": str(raw.get("manual_box_text") or "").strip(),
"memo": str(raw.get("memo") or "").strip(),
}
)
return out
@staticmethod
def _center_serialize(row: dict[str, Any] | None) -> dict[str, Any] | None:
if row is None:
return None
out = dict(row)
out["id"] = int(out["id"])
out["active"] = bool(out.get("active", True))
out["sort_order"] = int(out.get("sort_order", 0))
for k in ("created_at", "updated_at"):
v = out.get(k)
if isinstance(v, datetime):
out[k] = v.astimezone(KST).isoformat(timespec="seconds")
return out
@staticmethod
def _rule_serialize(row: dict[str, Any] | None) -> dict[str, Any] | None:
if row is None:
return None
out = dict(row)
out["id"] = int(out["id"])
out["units_per_box"] = int(out.get("units_per_box", 0))
out["active"] = bool(out.get("active", True))
for k in ("created_at", "updated_at"):
v = out.get(k)
if isinstance(v, datetime):
out[k] = v.astimezone(KST).isoformat(timespec="seconds")
return out
@staticmethod
def _product_serialize(row: dict[str, Any] | None) -> dict[str, Any] | None:
if row is None:
return None
out = dict(row)
out["id"] = int(out["id"])
out["active"] = bool(out.get("active", True))
out["sort_order"] = int(out.get("sort_order", 0))
for k in ("created_at", "updated_at"):
v = out.get(k)
if isinstance(v, datetime):
out[k] = v.astimezone(KST).isoformat(timespec="seconds")
return out
@staticmethod
def _shipment_serialize(row: dict[str, Any] | None) -> dict[str, Any] | None:
if row is None:
return None
out = dict(row)
out["id"] = int(out["id"])
out["center_id"] = int(out["center_id"]) if out.get("center_id") is not None else None
for k in ("document_date", "ship_date", "center_arrival_date"):
v = out.get(k)
if isinstance(v, date):
out[k] = v.isoformat()
for k in ("created_at", "updated_at"):
v = out.get(k)
if isinstance(v, datetime):
out[k] = v.astimezone(KST).isoformat(timespec="seconds")
return out
@staticmethod
def _line_serialize(row: dict[str, Any] | None) -> dict[str, Any] | None:
if row is None:
return None
out = dict(row)
out["id"] = int(out["id"])
out["line_no"] = int(out.get("line_no", 0))
out["quantity"] = int(out.get("quantity", 0))
for k in ("box_rule_id", "units_per_box", "calculated_boxes", "remainder_units"):
v = out.get(k)
out[k] = int(v) if v is not None else None
for k in ("created_at", "updated_at"):
v = out.get(k)
if isinstance(v, datetime):
out[k] = v.astimezone(KST).isoformat(timespec="seconds")
return out