Files
yunke/yunke-server/app/api/routers/organization.py
T
浅念 ff7e9cb1d9 feat: backend read api for all entities (messages/groups/calls/sms/org/sync)
Adds the read-only API surface the upcoming Vue frontend needs to browse all
mirrored entities. Follows the existing customer-router pattern: Annotated
deps, Page[T] envelope, select+where+order_by, count() for total.

Endpoints (all GET):
* /api/departments          -> list[DepartmentOut] (path-ordered, plain list)
* /api/staff                -> Page[StaffOut] (department_id, is_on_job filters)
* /api/accounts             -> Page[AccountOut] (channel filter; unified
                             wechat+whatsapp projection built in memory)
* /api/messages             -> Page[MessageOut] (channel/owner/talker/room/
                             [start,end] filters; ordered timestamp asc)
* /api/groups               -> Page[GroupOut] (channel/owner filters)
* /api/groups/{id}/members  -> list[GroupMemberOut] (404 on unknown room)
* /api/calls                -> Page[PhoneCallOut] (channel/user/time window;
                             ordered start_call_time desc)
* /api/sms                  -> Page[SmsOut] (user/time window; create_time desc)
* /api/sync/status          -> {states, recent_runs} monitor payload

Schemas (Pydantic v2, from_attributes=True): MessageOut, GroupOut,
GroupMemberOut, PhoneCallOut, SmsOut, DepartmentOut, StaffOut, AccountOut
(unified across two tables), SyncStateOut, SyncRunOut, SyncStatusOut.
Only human-relevant fields per entity are exposed.

Tests: per-router TDD via httpx ASGITransport against an in-memory SQLite
override of get_session. A shared make_client factory in conftest.py builds
the seeded client, deduping the ~40-line fixture across the six new files.
41 new tests cover shape + every documented filter + pagination + ordering
(nulls-last verified on all desc/asc time columns).

Suite: 226 -> 267 passing. ruff check clean.

Co-Authored-By: Claude <noreply@anthropic.com>
2026-08-01 16:15:40 +08:00

138 lines
5.1 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 in memory. Staff-account volumes are modest
(tens to low hundreds of rows), so the in-memory merge is cheap and keeps
the API contract simple.
"""
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)]
@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 merged in memory. Pagination is applied after the merge using a
stable ``(channel, account_id)`` ordering.
"""
selected_channels = [channel] if channel else ["wechat", "whatsapp"]
rows: list[AccountOut] = []
if "wechat" in selected_channels:
result = (await session.execute(sa.select(WechatAccount))).scalars().all()
for r in result:
rows.append(
AccountOut(
channel="wechat",
account_id=r.wx_id,
nickname=r.nick_name,
user_id=r.user_id,
user_name=r.user_name,
phone=r.phone,
contacts_num=r.contacts_num,
group_num=r.group_num,
is_on_job=r.is_on_job,
)
)
if "whatsapp" in selected_channels:
result = (await session.execute(sa.select(WhatsappAccount))).scalars().all()
for r in result:
rows.append(
AccountOut(
channel="whatsapp",
account_id=r.uid,
nickname=r.nick_name,
user_id=r.user_id,
user_name=r.user_name,
phone=r.phone,
contacts_num=r.contacts_num,
group_num=r.group_num,
is_on_job=r.is_on_job,
)
)
rows.sort(key=lambda a: (a.channel, a.account_id))
total = len(rows)
start = (page - 1) * page_size
items = rows[start : start + page_size]
return Page(items=items, total=total, page=page, page_size=page_size)