Files
yunke/yunke-server/app/api/routers/organization.py
T
浅念 2837500bc0 feat(api): GET /api/moments 朋友圈列表(desc分页+账号头部)
对齐云客员工聊天窗口朋友圈tab:帖子 create_time desc 分页 +
wechat_account 头部(昵称/头像/别名);员工不存在不404(header全None
前端兜底)。头像提取抽共享 helper account_avatar 放 organization.py,
accounts 列表与 moments 头部复用。

Co-Authored-By: Claude <noreply@anthropic.com>
2026-08-25 15:57:53 +08:00

196 lines
7.6 KiB
Python

"""GET /api/departments, /api/staff, /api/accounts — organization browse endpoints.
Read-only queries over the mirrored ``department``, ``staff``,
``wechat_account`` and ``whatsapp_account`` tables.
* ``GET /api/departments`` -> ``list[DepartmentOut]`` ordered by ``path`` so
the frontend can assemble the tree with a stable traversal order.
* ``GET /api/staff`` -> ``Page[StaffOut]`` with optional ``department_id``
and ``is_on_job`` filters.
* ``GET /api/accounts`` -> ``Page[AccountOut]`` projecting both staff-messaging
account tables onto a unified shape (see :class:`AccountOut`). The optional
``channel`` filter restricts to one of ``wechat`` / ``whatsapp``; when
omitted, both tables are UNIONed at the SQL level and paginated in-database
(no full-table Python materialization). Staff-account volumes are modest in
practice today, but the SQL-level pagination keeps the endpoint safe if a
tenant ever scales past thousands of rows.
"""
from __future__ import annotations
from typing import Annotated
import sqlalchemy as sa
from fastapi import APIRouter, Depends, Query
from sqlalchemy.ext.asyncio import AsyncSession
from app.api.deps import get_session
from app.api.schemas import AccountOut, DepartmentOut, Page, StaffOut
from app.db.models import Department, Staff, WechatAccount, WhatsappAccount
router = APIRouter(prefix="/api", tags=["organization"])
SessionDep = Annotated[AsyncSession, Depends(get_session)]
PageParam = Annotated[int, Query(ge=1)]
PageSizeParam = Annotated[int, Query(ge=1, le=100)]
def account_avatar(raw_json: dict | None) -> str | None:
"""从账号原始记录提取头像 URL(共享 helper,2026-08-25)。
WeChat ``wxUser/list`` 记录携带 ``headImageUrl``;WA ``businessSalesList``
记录无该键 → ``None``。accounts 列表与 moments 头部等多处复用,
避免同键提取散落各处。
"""
return (raw_json or {}).get("headImageUrl")
@router.get("/departments")
async def list_departments(session: SessionDep) -> list[DepartmentOut]:
"""Return every department ordered by ``path`` (nulls last).
A plain list — not paginated — because the frontend rebuilds the tree from
``parent_id``/``path`` and pagination would split the topology awkwardly.
"""
stmt = sa.select(Department).order_by(
sa.nullslast(Department.path.asc()), Department.dept_id.asc()
)
rows = (await session.execute(stmt)).scalars().all()
return [DepartmentOut.model_validate(row) for row in rows]
@router.get("/staff")
async def list_staff(
session: SessionDep,
page: PageParam = 1,
page_size: PageSizeParam = 20,
department_id: Annotated[str | None, Query()] = None,
is_on_job: Annotated[bool | None, Query()] = None,
) -> Page[StaffOut]:
"""List staff with optional ``department_id`` / ``is_on_job`` filters."""
conditions = []
if department_id is not None:
conditions.append(Staff.dept_id == department_id)
if is_on_job is not None:
conditions.append(Staff.is_on_job.is_(is_on_job))
total_stmt = sa.select(sa.func.count()).select_from(Staff)
if conditions:
total_stmt = total_stmt.where(*conditions)
total = (await session.execute(total_stmt)).scalar_one()
list_stmt = sa.select(Staff)
if conditions:
list_stmt = list_stmt.where(*conditions)
list_stmt = (
list_stmt.order_by(Staff.user_id.asc())
.limit(page_size)
.offset((page - 1) * page_size)
)
rows = (await session.execute(list_stmt)).scalars().all()
items = [StaffOut.model_validate(row) for row in rows]
return Page(items=items, total=total, page=page, page_size=page_size)
@router.get("/accounts")
async def list_accounts(
session: SessionDep,
page: PageParam = 1,
page_size: PageSizeParam = 20,
channel: Annotated[str | None, Query()] = None,
) -> Page[AccountOut]:
"""List staff messaging accounts (WeChat / WhatsApp) in a unified shape.
``channel`` optional; one of ``wechat`` / ``whatsapp``. When omitted, both
tables are UNIONed at the SQL level. Pagination and total count are pushed
down to the database (single ``COUNT(*)`` over the UNION subquery + a
paginated ``SELECT`` with ``OFFSET``/``LIMIT``) so we never materialize the
full cross-table row set in Python. Stable ordering is ``(channel,
account_id)``.
``AccountOut`` field mapping (identical shape from both source tables):
* WeChat: account_id=wx_id, nickname=nick_name, user_id, user_name, phone,
contacts_num, group_num, is_on_job, raw_json (verbatim upstream record).
* WhatsApp: account_id=uid (+ same projection).
``avatar`` is extracted from ``raw_json.headImageUrl`` (WeChat wxUser/list
records carry it; WhatsApp businessSalesList records have no avatar key,
so they naturally resolve to ``None`` — same key logic for both channels).
"""
wechat_q = sa.select(
WechatAccount.wx_id.label("account_id"),
sa.literal("wechat").label("channel"),
WechatAccount.nick_name.label("nickname"),
WechatAccount.user_id.label("user_id"),
WechatAccount.user_name.label("user_name"),
WechatAccount.phone.label("phone"),
WechatAccount.contacts_num.label("contacts_num"),
WechatAccount.group_num.label("group_num"),
WechatAccount.is_on_job.label("is_on_job"),
WechatAccount.raw_json.label("raw_json"),
WechatAccount.list_order.label("list_order"),
)
whatsapp_q = sa.select(
WhatsappAccount.uid.label("account_id"),
sa.literal("whatsapp").label("channel"),
WhatsappAccount.nick_name.label("nickname"),
WhatsappAccount.user_id.label("user_id"),
WhatsappAccount.user_name.label("user_name"),
WhatsappAccount.phone.label("phone"),
WhatsappAccount.contacts_num.label("contacts_num"),
WhatsappAccount.group_num.label("group_num"),
WhatsappAccount.is_on_job.label("is_on_job"),
WhatsappAccount.raw_json.label("raw_json"),
sa.literal(None).label("list_order"),
)
if channel == "wechat":
parts: list[sa.Select] = [wechat_q]
elif channel == "whatsapp":
parts = [whatsapp_q]
else:
parts = [wechat_q, whatsapp_q]
base_q: sa.Select = parts[0] if len(parts) == 1 else sa.union_all(*parts)
# Wrap in a subquery so COUNT and paginated SELECT both have a stable
# column set (the labelled columns become ``sub.c.<label>``).
sub = base_q.subquery()
total = (
await session.execute(sa.select(sa.func.count()).select_from(sub))
).scalar_one()
page_q = (
sa.select(sub)
.order_by(
sub.c.channel.asc(),
# list_order 优先(云客员工列表排列顺序,2026-08-24),NULL 排后
sa.nullslast(sa.cast(sub.c.list_order, sa.Integer).asc()),
sub.c.account_id.asc(),
)
.offset((page - 1) * page_size)
.limit(page_size)
)
rows = (await session.execute(page_q)).all()
items = [
AccountOut(
channel=row.channel,
account_id=row.account_id,
nickname=row.nickname,
user_id=row.user_id,
user_name=row.user_name,
phone=row.phone,
contacts_num=row.contacts_num,
group_num=row.group_num,
is_on_job=row.is_on_job,
# 头像从原始记录提取(对齐云客员工聊天窗口左侧头像,2026-08-25):
# WeChat headImageUrl;WA 原始记录无该键 -> None
avatar=account_avatar(row.raw_json),
raw_json=row.raw_json,
)
for row in rows
]
return Page(items=items, total=total, page=page, page_size=page_size)