feat(dashboard): reconstruct backend router/service, register route, fix suppliers NameError

This commit is contained in:
fatemeh sane
2026-10-08 11:18:47 +03:30
parent d84637769a
commit b82c039265
4 changed files with 877 additions and 19 deletions
+2
View File
@@ -4,6 +4,7 @@ from app.routers import (
auth,
brand_materials,
brands,
dashboard,
drafts,
files,
inventory,
@@ -53,6 +54,7 @@ ROUTERS = [
inventory.router,
pm.router,
project_transfers.router,
dashboard.router,
users.router,
drafts.router,
]
+217
View File
@@ -0,0 +1,217 @@
"""MVP dashboard router — read-only aggregations for the warehouse +
procurement dashboard widgets consumed by the frontend `apiV26.dashboard`
client (frontend/src/lib/api.ts).
Scope (same resolution pattern as the inventory / pm routers):
- role 'pm' → limited to the projects they manage (projects.pm_user_id, 1:N);
an explicit ?project_id must be one of them.
- role 'admin' / 'procurement_manager' → whole organization; ?project_id is
an optional filter.
- Dev fallback via X-User-Role / X-Project-Id headers, ONLY when
PROCUREMENT_DEV_LOGIN_ENABLED=true (read-only endpoints, same gate as the
inventory router).
Endpoints:
- GET /dashboard/filters — «What» cascade options
- GET /dashboard/inventory/drilldown — org → project → warehouse tree
- GET /dashboard/inventory/dead-stock — dormant stock table
- GET /dashboard/inventory/flow — daily inbound/outbound/returns/balance
- GET /dashboard/daily-control — today's tickets + performers
- GET /dashboard/procurement/workload — workload per project (density)
Every response is the standard `{"data": …}` envelope.
"""
import uuid
from dataclasses import dataclass
from datetime import date as date_cls
from datetime import datetime, timedelta
from fastapi import APIRouter, Depends, Query, Request
from sqlalchemy.ext.asyncio import AsyncSession
from app.auth import UserContext, get_optional_user
from app.config import settings
from app.db.engine import get_db
from app.services import dashboard_service
from app.utils.errors import (
ForbiddenError,
UnauthorizedError,
ValidationError,
)
router = APIRouter(prefix="/dashboard", tags=["dashboard"])
@dataclass
class DashboardScope:
role: str # "pm" | "office"
project_ids: list | None # PM: managed project ids; office: None = all
project_id: uuid.UUID | None # explicit ?project_id filter (validated for PM)
async def dashboard_scope(
request: Request,
project_id: uuid.UUID | None = Query(default=None, description="فیلتر پروژه (PM: فقط پروژه‌های خودش)"),
db: AsyncSession = Depends(get_db),
) -> DashboardScope:
"""Resolve the dashboard caller — Casdoor JWT first, dev headers as fallback."""
if request.headers.get("authorization"):
user: UserContext | None = await get_optional_user(request, db)
if user is not None:
if user.role is None:
raise ForbiddenError("نقش شما هنوز در سیستم تعیین نشده است")
if user.role == "pm":
allowed = list(user.project_ids or [])
if project_id is not None:
if project_id not in allowed:
raise ForbiddenError("این پروژه به شما تخصیص داده نشده است")
return DashboardScope(role="pm", project_ids=allowed, project_id=project_id)
if not allowed:
raise ForbiddenError("شما به هیچ پروژه‌ای متصل نیستید (projects.pm_user_id)")
return DashboardScope(role="pm", project_ids=allowed, project_id=None)
if user.role in ("admin", "procurement_manager"):
return DashboardScope(role="office", project_ids=None, project_id=project_id)
raise ForbiddenError("این بخش فقط برای مدیر پروژه یا دفتر تدارکات است")
if not settings.DEV_LOGIN_ENABLED or not request.headers.get("x-user-role"):
raise UnauthorizedError("احراز هویت لازم است — توکن Casdoor ارسال کنید")
role = (request.headers.get("x-user-role") or "").strip().lower()
if role == "procurement_manager" or role == "admin":
role = "office"
elif role == "pm":
role = "pm"
else:
raise ValidationError("نقش نامعتبر است — فقط pm یا admin", field="X-User-Role")
if role == "pm":
raw = request.headers.get("x-project-id")
if not raw:
raise ValidationError("هدر X-Project-Id (پروژه مسئول) برای نقش PM الزامی است", field="X-Project-Id")
try:
if project_id is None:
project_id = uuid.UUID(str(raw))
except ValueError:
raise ValidationError("شناسه پروژه نامعتبر است", field="X-Project-Id")
return DashboardScope(role="pm", project_ids=[project_id], project_id=project_id)
return DashboardScope(role="office", project_ids=None, project_id=project_id)
def _what_filters(
category_id: uuid.UUID | None,
material_id: uuid.UUID | None,
brand_id: uuid.UUID | None,
specs_hash: str | None,
) -> dict:
return {
"category_id": category_id,
"material_id": material_id,
"brand_id": brand_id,
"specs_hash": specs_hash,
}
@router.get("/filters")
async def dashboard_filters(db: AsyncSession = Depends(get_db)):
"""Cascading options for the global filter bar (Category→Material→Brand→Specs)."""
return await dashboard_service.filter_options(db)
@router.get("/inventory/drilldown")
async def inventory_drilldown(
scope: DashboardScope = Depends(dashboard_scope),
db: AsyncSession = Depends(get_db),
category_id: uuid.UUID | None = Query(default=None),
material_id: uuid.UUID | None = Query(default=None),
brand_id: uuid.UUID | None = Query(default=None),
specs_hash: str | None = Query(default=None),
):
"""Drill-down matrix: کل سازمان → پروژه → انبار (per-unit aggregates)."""
return await dashboard_service.inventory_drilldown(
db,
project_ids=scope.project_ids,
project_id=scope.project_id,
**_what_filters(category_id, material_id, brand_id, specs_hash),
)
@router.get("/inventory/dead-stock")
async def dead_stock(
scope: DashboardScope = Depends(dashboard_scope),
db: AsyncSession = Depends(get_db),
idle_days: int = Query(default=60, ge=1, le=365, description="آستانه رکود (روز)"),
limit: int = Query(default=200, ge=1, le=1000),
category_id: uuid.UUID | None = Query(default=None),
material_id: uuid.UUID | None = Query(default=None),
brand_id: uuid.UUID | None = Query(default=None),
specs_hash: str | None = Query(default=None),
):
"""Dead stock: موجودی مثبت بدون هیچ تراکنشی در بازه‌ی رکود."""
return await dashboard_service.dead_stock(
db,
project_ids=scope.project_ids,
project_id=scope.project_id,
idle_days=idle_days,
limit=limit,
**_what_filters(category_id, material_id, brand_id, specs_hash),
)
@router.get("/inventory/flow")
async def inventory_flow(
scope: DashboardScope = Depends(dashboard_scope),
db: AsyncSession = Depends(get_db),
date_from: date_cls | None = Query(default=None, description="از تاریخ (ISO، پیش‌فرض ۳۰ روز اخیر)"),
date_to: date_cls | None = Query(default=None, description="تا تاریخ (ISO، انحصاری)"),
warehouse_id: uuid.UUID | None = Query(default=None),
category_id: uuid.UUID | None = Query(default=None),
material_id: uuid.UUID | None = Query(default=None),
brand_id: uuid.UUID | None = Query(default=None),
specs_hash: str | None = Query(default=None),
):
"""Daily flow series: ورود / خروج (با لایه‌ی ضایعات) / برگشت / مانده."""
today = datetime.now(dashboard_service.TEHRAN).date()
date_from = date_from or (today - timedelta(days=29))
date_to = date_to or (today + timedelta(days=1))
if date_to <= date_from:
raise ValidationError("بازه‌ی تاریخ نامعتبر است — «تا» باید بعد از «از» باشد", field="date_to")
if (date_to - date_from).days > 180:
raise ValidationError("بازه‌ی تاریخ حداکثر ۱۸۰ روز است", field="date_to")
return await dashboard_service.daily_flow(
db,
project_ids=scope.project_ids,
project_id=scope.project_id,
date_from=datetime.combine(date_from, datetime.min.time(), tzinfo=dashboard_service.TEHRAN),
date_to=datetime.combine(date_to, datetime.min.time(), tzinfo=dashboard_service.TEHRAN),
warehouse_id=warehouse_id,
**_what_filters(category_id, material_id, brand_id, specs_hash),
)
@router.get("/daily-control")
async def daily_control(
scope: DashboardScope = Depends(dashboard_scope),
db: AsyncSession = Depends(get_db),
date: date_cls | None = Query(default=None, description="روز موردنظر (ISO، پیش‌فرض امروز)"),
warehouse_id: uuid.UUID | None = Query(default=None),
):
"""Daily control: today's outbound/return tickets + exact performer names."""
day = date or datetime.now(dashboard_service.TEHRAN).date()
return await dashboard_service.daily_control(
db,
project_ids=scope.project_ids,
project_id=scope.project_id,
day=day,
warehouse_id=warehouse_id,
)
@router.get("/procurement/workload")
async def procurement_workload(
scope: DashboardScope = Depends(dashboard_scope),
db: AsyncSession = Depends(get_db),
):
"""Project density: توزیع بار تدارکات (پیشنهادهای باز + خطوط خرید جاری) روی پروژه‌ها."""
return await dashboard_service.procurement_workload(
db,
project_ids=scope.project_ids,
project_id=scope.project_id,
)
-19
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@@ -122,25 +122,6 @@ async def delete_supplier_material(
return {"data": {"supplier_id": str(supplier_id), "material_id": str(material_id), "deleted": True}}
@router.get("/materials/{material_id}/suppliers")
async def list_material_suppliers(
material_id,
page: int = Query(1, ge=1),
page_size: int = Query(20, ge=1, le=100),
db: AsyncSession = Depends(get_db),
):
async with db.begin():
await unlink_supplier_material(db, supplier_id, material_id)
return {
"data": {
"supplier_id": str(supplier_id),
"material_id": str(material_id),
"deleted": True,
}
}
# ---------------------------------------------------------------------------
# GET /materials/{material_id}/suppliers
# ---------------------------------------------------------------------------
+658
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@@ -0,0 +1,658 @@
"""Aggregation queries behind the MVP dashboard (warehouse + procurement).
Read-only service. Every function receives the resolved scope (PM → the list
of projects they manage; office roles → project_ids=None = whole
organization) plus an optional explicit project filter, and the optional
«What» filters (category_id / material_id / brand_id / specs_hash).
Quantities are NEVER mixed across units: inventory rows live in the
material's canonical unit, so stock aggregates carry their unit code and the
UI picks one unit at a time. Numeric results leave the service chart-ready
(floats); identifiers and labels are plain strings.
Response shapes mirror frontend/src/lib/types.ts (v2.8 dashboard DTOs)
exactly — this module is the server side of that contract.
"""
import uuid
from datetime import date as date_cls
from datetime import datetime, time, timedelta, timezone
from sqlalchemy import case, func, select
from sqlalchemy.ext.asyncio import AsyncSession
from app.models.catalog import Brand, BrandMaterial, Material, MaterialCategory, Unit
from app.models.inventory import InventoryItem, InventoryTransaction, Warehouse
from app.models.procurement import (
ItemDecision,
ItemReceipt,
LineItem,
Project,
Quote,
QuoteProjects,
)
# Iran has been on a fixed UTC+03:30 (no DST) since 2022 — «امروز» in the
# daily widgets means today at this offset.
TEHRAN = timezone(timedelta(hours=3, minutes=30))
# Flow buckets: outbound = site consumption + shrinkage; waste is reported
# separately so the UI can stack it as a distinct red segment inside the
# outbound bar. Transfers are excluded from the buckets (they are internal
# moves) but DO count toward the running balance.
OUTBOUND_TYPES = ("WITHDRAWAL", "DAMAGE", "WASTE", "LOSS")
WASTE_TYPES = ("DAMAGE", "WASTE", "LOSS")
def _stock_filters(stmt, *, category_id=None, material_id=None, brand_id=None, specs_hash=None):
"""«What» filters for a statement that already joins inventory→material."""
if category_id is not None:
stmt = stmt.where(Material.category_id == category_id)
if material_id is not None:
stmt = stmt.where(InventoryItem.material_id == material_id)
if brand_id is not None:
stmt = stmt.where(InventoryItem.brand_id == brand_id)
if specs_hash:
stmt = stmt.where(InventoryItem.specs_hash == specs_hash)
return stmt
def _scope_filters(stmt, *, project_ids, project_id):
"""warehouse.project_id restriction for the resolved dashboard scope."""
if project_id is not None:
stmt = stmt.where(Warehouse.project_id == project_id)
elif project_ids is not None:
stmt = stmt.where(Warehouse.project_id.in_(project_ids))
return stmt
def _qty(value) -> float:
return round(float(value), 4) if value is not None else 0.0
# ---------------------------------------------------------------------------
# «What» filter cascade — Category → Material → Brand → Specs
# ---------------------------------------------------------------------------
async def filter_options(db: AsyncSession) -> dict:
"""Cascading options for the global filter bar.
Categories/materials come from the catalog (active only). Brand options
per material are the UNION of the catalog links (brand_materials — every
brand defined for that material) and the distinct brands actually present
in stock, so the cascade is complete even for materials whose current
stock rows carry no brand yet. Spec options come from stock rows
(inventory.specs_hash), since specs are a stock-level dimension.
Materials without a category land in the synthetic «بدون دسته» bucket.
"""
categories = (
await db.execute(
select(MaterialCategory)
.where(MaterialCategory.is_active.is_(True))
.order_by(MaterialCategory.name)
)
).scalars().all()
materials = (
await db.execute(select(Material).where(Material.status == "active").order_by(Material.name))
).scalars().all()
units = {u.id: u for u in (await db.execute(select(Unit))).scalars()}
inv_rows = (
await db.execute(
select(
InventoryItem.material_id,
InventoryItem.brand_id,
InventoryItem.specs_hash,
InventoryItem.specs,
Brand.name,
)
.select_from(InventoryItem)
.outerjoin(Brand, Brand.id == InventoryItem.brand_id)
.distinct()
)
).all()
# برندهای کاتالوگی هر متریال (brand_materials) — مستقل از موجودی فعلی
catalog_brand_rows = (
await db.execute(
select(BrandMaterial.material_id, Brand.id, Brand.name)
.select_from(BrandMaterial)
.join(Brand, Brand.id == BrandMaterial.brand_id)
.where(BrandMaterial.is_active.is_(True))
)
).all()
brands_by_material: dict[uuid.UUID, dict] = {}
specs_by_material: dict[uuid.UUID, dict[str, dict]] = {}
for material_id, brand_id, brand_name in catalog_brand_rows:
brands_by_material.setdefault(material_id, {})[brand_id] = brand_name
for material_id, brand_id, specs_hash, specs, brand_name in inv_rows:
if brand_id is not None:
brands_by_material.setdefault(material_id, {}).setdefault(brand_id, brand_name)
if specs_hash:
specs_by_material.setdefault(material_id, {})[specs_hash] = specs or {}
def material_entry(m: Material) -> dict:
unit = units.get(m.canonical_unit_id)
brands = brands_by_material.get(m.id, {})
spec_map = specs_by_material.get(m.id, {})
return {
"id": str(m.id),
"name": m.name,
"unit": {"id": unit.id, "code": unit.code, "name_fa": unit.name_fa} if unit else None,
"brands": [
{"id": str(bid), "name": bname}
for bid, bname in sorted(brands.items(), key=lambda kv: kv[1] or "")
],
"specs": [
{"hash": h, "specs": sp}
for h, sp in sorted(spec_map.items())
],
}
buckets: dict[uuid.UUID | None, list] = {c.id: [] for c in categories}
buckets.setdefault(None, [])
for m in materials:
buckets.setdefault(m.category_id, []).append(material_entry(m))
out = [
{"id": str(c.id), "name": c.name, "slug": c.slug, "materials": buckets.get(c.id, [])}
for c in categories
]
if buckets.get(None):
out.append({"id": None, "name": "بدون دسته", "slug": None, "materials": buckets[None]})
return {"data": {"categories": out}}
# ---------------------------------------------------------------------------
# Widget 1 — Drill-down matrix (organization → project → warehouse)
# ---------------------------------------------------------------------------
async def inventory_drilldown(
db: AsyncSession,
*,
project_ids,
project_id,
category_id=None,
material_id=None,
brand_id=None,
specs_hash=None,
) -> dict:
"""Stock quantity as a three-level tree; each aggregate keyed by unit code
so incompatible units never merge into one number."""
stmt = (
select(
Project.id,
Project.name,
Warehouse.id,
Warehouse.name,
Unit.code,
Unit.name_fa,
func.sum(InventoryItem.quantity).label("qty"),
func.count().label("rows"),
)
.select_from(InventoryItem)
.join(Warehouse, Warehouse.id == InventoryItem.warehouse_id)
.join(Project, Project.id == Warehouse.project_id)
.join(Material, Material.id == InventoryItem.material_id)
.join(Unit, Unit.id == InventoryItem.unit_id)
.where(InventoryItem.quantity > 0)
.group_by(Project.id, Project.name, Warehouse.id, Warehouse.name, Unit.code, Unit.name_fa)
.order_by(Project.name, Warehouse.name)
)
stmt = _stock_filters(
stmt, category_id=category_id, material_id=material_id, brand_id=brand_id, specs_hash=specs_hash
)
stmt = _scope_filters(stmt, project_ids=project_ids, project_id=project_id)
rows = (await db.execute(stmt)).all()
units_legend: dict[str, str] = {}
total_by_unit: dict[str, float] = {}
total_rows = 0
projects_tree: dict[uuid.UUID, dict] = {}
for pid, pname, wid, wname, ucode, uname_fa, qty, row_count in rows:
q = _qty(qty)
units_legend[ucode] = uname_fa
total_by_unit[ucode] = round(total_by_unit.get(ucode, 0.0) + q, 4)
total_rows += row_count
proj = projects_tree.setdefault(
pid,
{"id": str(pid), "name": pname, "qty_by_unit": {}, "rows": 0, "_warehouses": {}},
)
proj["qty_by_unit"][ucode] = round(proj["qty_by_unit"].get(ucode, 0.0) + q, 4)
proj["rows"] += row_count
wh = proj["_warehouses"].setdefault(wid, {"id": str(wid), "name": wname, "qty_by_unit": {}, "rows": 0})
wh["qty_by_unit"][ucode] = round(wh["qty_by_unit"].get(ucode, 0.0) + q, 4)
wh["rows"] += row_count
projects = []
for proj in projects_tree.values():
warehouses = sorted(proj.pop("_warehouses").values(), key=lambda w: w["name"])
projects.append({**proj, "warehouses": warehouses})
projects.sort(key=lambda p: p["name"])
return {
"data": {
"units": units_legend,
"total": {"qty_by_unit": total_by_unit, "rows": total_rows},
"projects": projects,
}
}
# ---------------------------------------------------------------------------
# Widget 2 — Dead stock (dormant capital)
# ---------------------------------------------------------------------------
async def dead_stock(
db: AsyncSession,
*,
project_ids,
project_id,
idle_days: int = 60,
category_id=None,
material_id=None,
brand_id=None,
specs_hash=None,
limit: int = 200,
) -> dict:
"""Stock rows with quantity > 0 and NO ledger activity within `idle_days`.
Last activity = MAX(inventory_transactions.transaction_date) per row —
served by idx_inventory_tx_inventory_date — falling back to
inventory.updated_at for rows that never posted a transaction.
"""
last_tx = (
select(func.max(InventoryTransaction.transaction_date))
.where(InventoryTransaction.inventory_id == InventoryItem.id)
.correlate(InventoryItem)
.scalar_subquery()
)
last_activity = func.coalesce(last_tx, InventoryItem.updated_at)
cutoff = datetime.now(TEHRAN) - timedelta(days=idle_days)
stmt = (
select(
InventoryItem.id,
InventoryItem.quantity,
InventoryItem.specs,
Material.name,
Brand.name,
Warehouse.name,
Project.name,
Unit.code,
Unit.name_fa,
last_activity.label("last_activity"),
)
.select_from(InventoryItem)
.join(Warehouse, Warehouse.id == InventoryItem.warehouse_id)
.join(Project, Project.id == Warehouse.project_id)
.join(Material, Material.id == InventoryItem.material_id)
.join(Unit, Unit.id == InventoryItem.unit_id)
.outerjoin(Brand, Brand.id == InventoryItem.brand_id)
.where(InventoryItem.quantity > 0, last_activity <= cutoff)
.order_by(last_activity.asc())
.limit(limit)
)
stmt = _stock_filters(
stmt, category_id=category_id, material_id=material_id, brand_id=brand_id, specs_hash=specs_hash
)
stmt = _scope_filters(stmt, project_ids=project_ids, project_id=project_id)
rows = (await db.execute(stmt)).all()
now = datetime.now(TEHRAN)
items = []
for inv_id, quantity, specs, mat_name, brand_name, wh_name, proj_name, ucode, uname_fa, last in rows:
items.append({
"inventory_id": str(inv_id),
"material": mat_name,
"brand": brand_name,
"specs": specs or {},
"warehouse": wh_name,
"project": proj_name,
"quantity": _qty(quantity),
"unit": {"code": ucode, "name_fa": uname_fa},
"last_activity": last.isoformat() if last else None,
"idle_days": (now - last).days if last else None,
})
return {"data": {"idle_days_threshold": idle_days, "items": items}}
# ---------------------------------------------------------------------------
# Widget 3 — Daily time-series flow (inbound / outbound / returns / balance)
# ---------------------------------------------------------------------------
async def daily_flow(
db: AsyncSession,
*,
project_ids,
project_id,
date_from: datetime,
date_to: datetime,
warehouse_id=None,
category_id=None,
material_id=None,
brand_id=None,
specs_hash=None,
) -> dict:
"""Per-day buckets from the signed ledger.
inbound = PURCHASE · returns = RETURN · outbound = WITHDRAWAL + waste
(DAMAGE/WASTE/LOSS, reported separately for the stacked red segment).
balance = running sum of EVERY signed movement (transfers/found/stock
counts included), seeded with the opening balance before `date_from`.
"""
def _with_joins(sel):
return (
sel.select_from(InventoryTransaction)
.join(Warehouse, Warehouse.id == InventoryTransaction.warehouse_id)
.join(InventoryItem, InventoryItem.id == InventoryTransaction.inventory_id)
.join(Material, Material.id == InventoryItem.material_id)
)
scope_conditions = []
if project_id is not None:
scope_conditions.append(Warehouse.project_id == project_id)
elif project_ids is not None:
scope_conditions.append(Warehouse.project_id.in_(project_ids))
if warehouse_id is not None:
scope_conditions.append(InventoryTransaction.warehouse_id == warehouse_id)
what_conditions = [Material.category_id == category_id] if category_id is not None else []
if material_id is not None:
what_conditions.append(InventoryItem.material_id == material_id)
if brand_id is not None:
what_conditions.append(InventoryItem.brand_id == brand_id)
if specs_hash:
what_conditions.append(InventoryItem.specs_hash == specs_hash)
day_expr = func.date_trunc("day", InventoryTransaction.transaction_date).label("day")
bucket_rows = (
await db.execute(
_with_joins(
select(day_expr, InventoryTransaction.transaction_type, func.sum(InventoryTransaction.quantity))
.where(
InventoryTransaction.transaction_date >= date_from,
InventoryTransaction.transaction_date < date_to,
*scope_conditions,
*what_conditions,
)
.group_by(day_expr, InventoryTransaction.transaction_type)
)
)
).all()
opening = _qty(
await db.scalar(
_with_joins(
select(func.coalesce(func.sum(InventoryTransaction.quantity), 0.0)).where(
InventoryTransaction.transaction_date < date_from,
*scope_conditions,
*what_conditions,
)
)
)
)
signed_by_day: dict[date_cls, dict[str, float]] = {}
for day, tx_type, signed in bucket_rows:
day_key = day.date() if isinstance(day, datetime) else day
signed_by_day.setdefault(day_key, {})[str(tx_type)] = _qty(signed)
days = []
running = opening
current = date_from.date()
while current < date_to.date():
types = signed_by_day.get(current, {})
waste = round(-sum(types.get(t, 0.0) for t in WASTE_TYPES), 4) or 0.0
outbound = round(waste - types.get("WITHDRAWAL", 0.0), 4) or 0.0
running = round(running + sum(types.values()), 4)
days.append({
"date": current.isoformat(),
"inbound": round(types.get("PURCHASE", 0.0), 4) or 0.0,
"outbound": outbound,
"waste": waste,
"returns": round(types.get("RETURN", 0.0), 4) or 0.0,
"balance": running,
})
current += timedelta(days=1)
return {"data": {"opening_balance": opening, "days": days}}
# ---------------------------------------------------------------------------
# Widget 4 — Daily control (today's site operations)
# ---------------------------------------------------------------------------
async def daily_control(
db: AsyncSession,
*,
project_ids,
project_id,
day: date_cls,
warehouse_id=None,
) -> dict:
"""One day (Tehran calendar): outbound / return / waste / purchase ticket
counts + quantities, the exact performer names, and the operation detail."""
day_start = datetime.combine(day, time.min, tzinfo=TEHRAN)
day_end = day_start + timedelta(days=1)
scope_conditions = []
if project_id is not None:
scope_conditions.append(Warehouse.project_id == project_id)
elif project_ids is not None:
scope_conditions.append(Warehouse.project_id.in_(project_ids))
if warehouse_id is not None:
scope_conditions.append(InventoryTransaction.warehouse_id == warehouse_id)
count_rows = (
await db.execute(
select(
InventoryTransaction.transaction_type,
func.count().label("tickets"),
func.sum(func.abs(InventoryTransaction.quantity)).label("qty"),
)
.select_from(InventoryTransaction)
.join(Warehouse, Warehouse.id == InventoryTransaction.warehouse_id)
.where(
InventoryTransaction.transaction_date >= day_start,
InventoryTransaction.transaction_date < day_end,
*scope_conditions,
)
.group_by(InventoryTransaction.transaction_type)
)
).all()
by_type = {str(tx_type): {"tickets": tickets, "qty": _qty(qty)} for tx_type, tickets, qty in count_rows}
performers_rows = (
await db.execute(
select(
InventoryTransaction.performed_by,
func.count().label("tickets"),
func.sum(func.abs(InventoryTransaction.quantity)).label("qty"),
)
.select_from(InventoryTransaction)
.join(Warehouse, Warehouse.id == InventoryTransaction.warehouse_id)
.where(
InventoryTransaction.transaction_date >= day_start,
InventoryTransaction.transaction_date < day_end,
*scope_conditions,
)
.group_by(InventoryTransaction.performed_by)
.order_by(func.count().desc())
)
).all()
detail_rows = (
await db.execute(
select(
InventoryTransaction,
Warehouse.name,
Material.name,
InventoryItem.specs,
Unit.code,
)
.select_from(InventoryTransaction)
.join(Warehouse, Warehouse.id == InventoryTransaction.warehouse_id)
.join(InventoryItem, InventoryItem.id == InventoryTransaction.inventory_id)
.join(Material, Material.id == InventoryItem.material_id)
.join(Unit, Unit.id == InventoryItem.unit_id)
.where(
InventoryTransaction.transaction_date >= day_start,
InventoryTransaction.transaction_date < day_end,
InventoryTransaction.transaction_type.in_(
("WITHDRAWAL", "RETURN", "DAMAGE", "WASTE", "LOSS", "PURCHASE")
),
*scope_conditions,
)
.order_by(InventoryTransaction.transaction_date.desc())
.limit(200)
)
).all()
zero = {"tickets": 0, "qty": 0.0}
items = []
for tx, wh_name, mat_name, specs, ucode in detail_rows:
items.append({
"id": str(tx.id),
"transaction_type": str(tx.transaction_type),
"quantity": _qty(tx.quantity),
"unit_code": ucode,
"performed_by": tx.performed_by,
"note": tx.note,
"warehouse": wh_name,
"material": mat_name,
"specs": specs or {},
"transaction_date": tx.transaction_date.isoformat(),
})
return {
"data": {
"date": day.isoformat(),
"outbound": by_type.get("WITHDRAWAL", zero),
"returns": by_type.get("RETURN", zero),
"waste": {
"tickets": sum(by_type.get(t, zero)["tickets"] for t in WASTE_TYPES),
"qty": round(sum(by_type.get(t, zero)["qty"] for t in WASTE_TYPES), 4),
},
"purchases": by_type.get("PURCHASE", zero),
"performers": [
{"name": name or "نامشخص", "tickets": tickets, "qty": _qty(qty)}
for name, tickets, qty in performers_rows
],
"items": items,
}
}
# ---------------------------------------------------------------------------
# Widget 8 — Procurement workload per project (project density)
# ---------------------------------------------------------------------------
async def procurement_workload(db: AsyncSession, *, project_ids, project_id) -> dict:
"""Per project: offered quotes still open + chosen purchase lines (open
vs fully received). Chosen lines attribute to item_decisions.project_id
(the purchased destination); offered quotes to any linked project."""
received_sq = (
select(ItemReceipt.item_decision_id.label("did"), func.sum(ItemReceipt.received_qty).label("received_qty"))
.group_by(ItemReceipt.item_decision_id)
.subquery()
)
order_conditions = [ItemDecision.status == "chosen"]
if project_id is not None:
order_conditions.append(ItemDecision.project_id == project_id)
elif project_ids is not None:
order_conditions.append(ItemDecision.project_id.in_(project_ids))
order_rows = (
await db.execute(
select(
Project.id,
Project.name,
func.count().label("chosen_items"),
func.sum(LineItem.quantity).label("ordered_qty"),
func.coalesce(func.sum(received_sq.c.received_qty), 0).label("received_qty"),
func.sum(
case(
(func.coalesce(received_sq.c.received_qty, 0) < LineItem.quantity, 1),
else_=0,
)
).label("open_items"),
)
.select_from(ItemDecision)
.join(LineItem, LineItem.id == ItemDecision.line_item_id)
.join(Quote, Quote.id == LineItem.quote_id)
.outerjoin(Project, Project.id == ItemDecision.project_id)
.outerjoin(received_sq, received_sq.c.did == ItemDecision.id)
.where(*order_conditions)
.group_by(Project.id, Project.name)
)
).all()
offered_by_project: dict[uuid.UUID | None, set] = {}
offered_primary = (
await db.execute(
select(Quote.id, Quote.project_id).where(
Quote.status == "offered", Quote.project_id.is_not(None)
)
)
).all()
for quote_id, pid in offered_primary:
offered_by_project.setdefault(pid, set()).add(quote_id)
offered_junction = (
await db.execute(
select(QuoteProjects.quote_id, QuoteProjects.project_id)
.join(Quote, Quote.id == QuoteProjects.quote_id)
.where(Quote.status == "offered")
)
).all()
for quote_id, pid in offered_junction:
offered_by_project.setdefault(pid, set()).add(quote_id)
project_ids_needed = {row[0] for row in order_rows if row[0] is not None}
project_ids_needed.update(pid for pid in offered_by_project if pid is not None)
names: dict[uuid.UUID, str] = {}
if project_ids_needed:
names = {
p.id: p.name
for p in (
await db.execute(select(Project).where(Project.id.in_(project_ids_needed)))
).scalars()
}
projects = []
for pid, _pname, chosen, ordered, received, open_items in order_rows:
if pid is None:
offered = 0
else:
offered = len(offered_by_project.pop(pid, set()))
if project_id is not None and pid != project_id:
offered = 0
elif project_ids is not None and pid not in project_ids:
offered = 0
projects.append({
"id": str(pid) if pid else None,
"name": names.get(pid, "بدون پروژه") if pid else "بدون پروژه",
"offered_quotes": offered,
"chosen_items": chosen,
"open_orders": open_items,
"ordered_qty": _qty(ordered),
"received_qty": _qty(received),
})
# offered-only projects that have no chosen lines yet
for pid, quote_ids in offered_by_project.items():
if not quote_ids:
continue
if project_id is not None and pid != project_id:
continue
if project_ids is not None and (pid is None or pid not in project_ids):
continue
projects.append({
"id": str(pid) if pid else None,
"name": names.get(pid, "بدون پروژه") if pid else "بدون پروژه",
"offered_quotes": len(quote_ids),
"chosen_items": 0,
"open_orders": 0,
"ordered_qty": 0.0,
"received_qty": 0.0,
})
projects.sort(key=lambda p: (-p["open_orders"], -p["offered_quotes"], p["name"]))
return {"data": {"projects": projects}}