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track/backend/app/services/dashboard_service.py

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"""Dashboard 统计服务 — 上帝视角(全厂全系统数据,不按用户过滤)"""
from datetime import datetime
from sqlalchemy import select, func, or_
from sqlalchemy.ext.asyncio import AsyncSession
from pydantic import BaseModel
# ============================================================
# Schemas
# ============================================================
class DashboardStats(BaseModel):
products_total: int
products_pending: int
products_in_progress: int
products_completed: int
tasks_total: int
tasks_pending: int
tasks_in_progress: int
tasks_completed: int
tasks_rejected: int
tasks_rework: int
unread_notifications: int = 0
unread_messages: int = 0
class WipTask(BaseModel):
task_id: str
task_name: str
assignee: str
product_sn: str # 16位HEX身份证
external_serial: str | None # 业务序列号
material_name: str # 设备名称
spec_model: str # 规格型号
status: str
received_at: str
duration_hours: float
class ProductMessageItem(BaseModel):
id: str
content: str
operator_name: str # 留言人中文姓名
product_sn: str # 16位HEX系统追溯码
external_serial: str | None # 业务产品序列号(如 25022)
material_name: str # 物料名称
created_at: str # ISO时间字符串
class ProductMessageList(BaseModel):
items: list[ProductMessageItem]
total: int
# ============================================================
# 看板统计(时间快照语义)
# ============================================================
async def get_dashboard_stats(
db: AsyncSession,
since: datetime | None = None,
until: datetime | None = None,
) -> DashboardStats:
"""
上帝视角 — 全厂全系统统计。
时间筛选规则:
- PENDING / WIP / 总数:永远忽略时间筛选,返回实时快照。
- COMPLETED / REJECTED / 完成率:严格按 since~until 过滤(用于时段报表)。
"""
from app.models.product import Product
from app.models.task import (
Task, TASK_STATUS_PENDING, TASK_STATUS_WIP, TASK_STATUS_COMPLETED,
TASK_STATUS_REJECTED,
)
from app.models.notification import Notification
from app.models.message import ProductMessage
# ── 产品(实时快照,不过滤) ──
p_total = await db.scalar(select(func.count(Product.id)))
p_pending = await db.scalar(select(func.count(Product.id)).where(Product.status == "pending"))
p_progress = await db.scalar(select(func.count(Product.id)).where(Product.status == "in_progress"))
p_done = await db.scalar(select(func.count(Product.id)).where(Product.status == "completed"))
# ── 任务实时快照(PENDING/WIP/返工 — 永远不过滤) ──
t_pending = await db.scalar(select(func.count(Task.id)).where(Task.status == TASK_STATUS_PENDING))
t_progress = await db.scalar(select(func.count(Task.id)).where(Task.status == TASK_STATUS_WIP))
t_rework = await db.scalar(select(func.count(Task.id)).where(Task.is_rework.is_(True)))
# ── 任务已完成/驳回(时间可过滤) ──
t_done_q = select(func.count(Task.id)).where(Task.status == TASK_STATUS_COMPLETED)
t_rej_q = select(func.count(Task.id)).where(Task.status == TASK_STATUS_REJECTED)
if since:
t_done_q = t_done_q.where(Task.completed_at >= since)
t_rej_q = t_rej_q.where(Task.completed_at >= since)
if until:
t_done_q = t_done_q.where(Task.completed_at <= until)
t_rej_q = t_rej_q.where(Task.completed_at <= until)
t_done = await db.scalar(t_done_q)
t_rejected = await db.scalar(t_rej_q)
# ── 任务总数 = 实时快照段 + 时间过滤段(确保进度条段总和=总数) ──
t_total = (t_pending or 0) + (t_progress or 0) + (t_done or 0) + (t_rejected or 0)
# ── 通知 & 留言(实时快照) ──
unread_notif = await db.scalar(
select(func.count(Notification.id)).where(Notification.is_read.is_(False))
)
unread_msg = await db.scalar(select(func.count(ProductMessage.id)))
return DashboardStats(
products_total=p_total or 0,
products_pending=p_pending or 0,
products_in_progress=p_progress or 0,
products_completed=p_done or 0,
tasks_total=t_total or 0,
tasks_pending=t_pending or 0,
tasks_in_progress=t_progress or 0,
tasks_completed=t_done or 0,
tasks_rejected=t_rejected or 0,
tasks_rework=t_rework or 0,
unread_notifications=unread_notif or 0,
unread_messages=unread_msg or 0,
)
# ============================================================
# 在制品看板(永远实时)
# ============================================================
async def get_wip_tasks(db: AsyncSession, limit: int = 20) -> list[WipTask]:
from app.models.task import Task, TASK_STATUS_PENDING, TASK_STATUS_WIP
from app.models.product import Product
from app.core.time_utils import get_beijing_time, BEIJING_TZ
stmt = (
select(Task, Product.serial_number, Product.external_serial, Product.material_name, Product.spec_model)
.join(Product, Task.product_id == Product.id)
.where(Task.status.in_([TASK_STATUS_PENDING, TASK_STATUS_WIP]))
.limit(limit * 2)
)
result = await db.execute(stmt)
rows = result.all()
raw_ids = list({t.assignee_id for t, *_ in rows if t.assignee_id})
name_map: dict[str, str] = {}
if raw_ids:
from app.services.mom_cache import get_display_names
name_map = get_display_names(raw_ids)
now = get_beijing_time()
wip_list: list[WipTask] = []
for task, product_sn, ext_sn, mat_name, spec in rows:
start = task.received_at or task.created_at
if start:
if start.tzinfo is None:
start = start.replace(tzinfo=BEIJING_TZ)
else:
start = start.astimezone(BEIJING_TZ)
hours = round((now - start).total_seconds() / 3600, 1)
recv_str = start.strftime("%m-%d %H:%M")
else:
hours = 0
recv_str = ""
wip_list.append(WipTask(
task_id=str(task.id),
task_name=task.task_name,
assignee=name_map.get(task.assignee_id or "", task.assignee_id or "未分配"),
product_sn=product_sn or "",
external_serial=ext_sn or None,
material_name=mat_name or "",
spec_model=spec or "",
status=task.status,
received_at=recv_str,
duration_hours=hours,
))
# 统一按滞留时间降序排列(无视 status,纯数值排序)
wip_list.sort(key=lambda t: t.duration_hours, reverse=True)
return wip_list[:limit]
# ============================================================
# 协同留言搜索(上帝视角 — 全厂)
# ============================================================
async def search_product_messages(
db: AsyncSession,
keyword: str = "",
skip: int = 0,
limit: int = 50,
) -> ProductMessageList:
"""
上帝视角 — 全厂所有产品的协同留言。
关联链: ProductMessage → Product → (material_name, serial_number)
搜索支持: SN码、物料名称、留言人
排序: created_at 倒序(最新在前)
"""
from app.models.message import ProductMessage
from app.models.product import Product
from app.core.time_utils import BEIJING_TZ
# 基础查询 — 同时取出 16位追溯码 + 业务序列号
stmt = (
select(ProductMessage, Product.serial_number, Product.material_name, Product.external_serial)
.join(Product, ProductMessage.product_id == Product.id)
)
# 关键词搜索
if keyword and keyword.strip():
kw = f"%{keyword.strip()}%"
stmt = stmt.where(or_(
Product.serial_number.ilike(kw),
Product.external_serial.ilike(kw),
Product.material_name.ilike(kw),
ProductMessage.operator_id.ilike(kw),
ProductMessage.content.ilike(kw),
))
# 总数
count_stmt = select(func.count()).select_from(stmt.subquery())
total = await db.scalar(count_stmt) or 0
# 分页 + 排序
stmt = stmt.order_by(ProductMessage.created_at.desc()).offset(skip).limit(limit)
result = await db.execute(stmt)
rows = result.all()
# 收集 operator_id → 批量翻译中文姓名
raw_ids = list({row[0].operator_id for row in rows if row[0].operator_id})
name_map: dict[str, str] = {}
if raw_ids:
from app.services.mom_cache import get_display_names
name_map = get_display_names(raw_ids)
items: list[ProductMessageItem] = []
for msg, sn, mat_name, ext_sn in rows:
t = msg.created_at
if t:
if t.tzinfo is None:
# 旧数据(datetime.utcnow):naive UTC → 转北京时间
from datetime import timezone as dt_timezone
t = t.replace(tzinfo=dt_timezone.utc).astimezone(BEIJING_TZ)
else:
t = t.astimezone(BEIJING_TZ)
time_str = t.isoformat() if t else ""
items.append(ProductMessageItem(
id=str(msg.id),
content=msg.content,
operator_name=name_map.get(msg.operator_id, msg.operator_id),
product_sn=sn or "",
external_serial=ext_sn or None,
material_name=mat_name or "",
created_at=time_str,
))
return ProductMessageList(items=items, total=total)