update dashboard logic
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@@ -19,6 +19,7 @@ from datetime import datetime, time, timedelta, timezone
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from sqlalchemy import case, func, select
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy.orm import aliased
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from app.models.catalog import Brand, BrandMaterial, Material, MaterialCategory, Unit
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from app.models.inventory import InventoryItem, InventoryTransaction, Warehouse
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@@ -176,34 +177,91 @@ async def inventory_drilldown(
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brand_id=None,
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specs_hash=None,
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) -> dict:
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"""Stock quantity as a three-level tree: Material -> Project -> Warehouse."""
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stmt = (
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"""Stock quantity as a three-level tree: Material -> Project -> Warehouse.
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The x-axis mirrors the *catalog*, not the ledger: the statement starts from
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``materials`` and LEFT OUTER JOINs the per-(brand, specs, project,
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warehouse, unit) stock aggregation. Active catalog materials without any
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ledger rows therefore stay on the chart with ``COALESCE``d zero quantities
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(labelled with their canonical unit) instead of disappearing in an inner
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join.
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"""
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# تجمیع دفتر انبار بهازای (ماده، برند، مشخصات، پروژه، انبار، واحد) — سمت
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# راست LEFT JOIN؛ محدودیت دامنه (پروژههای مجاز) همینجا اعمال میشود تا
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# مواد بدون موجودیِ داخل دامنه هم از دست نروند.
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stock = (
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select(
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Material.id.label("mid"),
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Material.name.label("mname"),
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Brand.name.label("bname"),
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InventoryItem.specs,
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InventoryItem.material_id.label("material_id"),
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InventoryItem.brand_id.label("brand_id"),
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InventoryItem.specs_hash.label("specs_hash"),
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InventoryItem.specs.label("specs"),
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Project.id.label("pid"),
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Project.name.label("pname"),
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Warehouse.id.label("wid"),
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Warehouse.name.label("wname"),
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Unit.code,
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Unit.name_fa,
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Unit.code.label("ucode"),
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Unit.name_fa.label("uname_fa"),
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func.sum(InventoryItem.quantity).label("qty"),
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func.count().label("rows"),
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)
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.select_from(InventoryItem)
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.join(Warehouse, Warehouse.id == InventoryItem.warehouse_id)
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.join(Project, Project.id == Warehouse.project_id)
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.join(Material, Material.id == InventoryItem.material_id)
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.join(Unit, Unit.id == InventoryItem.unit_id)
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.outerjoin(Brand, Brand.id == InventoryItem.brand_id)
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.group_by(Material.id, Material.name, Brand.name, InventoryItem.specs, Project.id, Project.name, Warehouse.id, Warehouse.name, Unit.code, Unit.name_fa)
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.group_by(
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InventoryItem.material_id,
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InventoryItem.brand_id,
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InventoryItem.specs_hash,
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InventoryItem.specs,
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Project.id,
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Project.name,
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Warehouse.id,
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Warehouse.name,
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Unit.code,
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Unit.name_fa,
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)
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)
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stmt = _stock_filters(
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stmt, category_id=category_id, material_id=material_id, brand_id=brand_id, specs_hash=specs_hash
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stock = _scope_filters(stock, project_ids=project_ids, project_id=project_id)
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stock_sq = stock.subquery()
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# واحد کاتالوگی ماده — برچسب واحدِ ردیفهای صفر («۰ عدد»)
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canon_unit = aliased(Unit)
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stmt = (
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select(
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Material.id.label("mid"),
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Material.name.label("mname"),
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Brand.name.label("bname"),
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stock_sq.c.specs,
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stock_sq.c.pid,
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stock_sq.c.pname,
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stock_sq.c.wid,
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stock_sq.c.wname,
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stock_sq.c.ucode,
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stock_sq.c.uname_fa,
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func.coalesce(stock_sq.c.qty, 0).label("qty"),
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func.coalesce(stock_sq.c.rows, 0).label("rows"),
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canon_unit.code.label("canon_ucode"),
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canon_unit.name_fa.label("canon_uname_fa"),
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)
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.select_from(Material)
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.outerjoin(stock_sq, stock_sq.c.material_id == Material.id)
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.outerjoin(Brand, Brand.id == stock_sq.c.brand_id)
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.outerjoin(canon_unit, canon_unit.id == Material.canonical_unit_id)
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.where(Material.status == "active")
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)
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stmt = _scope_filters(stmt, project_ids=project_ids, project_id=project_id)
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# فیلترهای بُعد کاتالوگ، عضویت روی محور را محدود میکنند
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if category_id is not None:
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stmt = stmt.where(Material.category_id == category_id)
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if material_id is not None:
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stmt = stmt.where(Material.id == material_id)
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# برند/مشخصات، ابعاد دفتر انبارند: با فعال بودنشان فقط مواد دارای همان
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# موجودی روی محور میمانند (رفتار قبلی دستنخورده)
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if brand_id is not None:
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stmt = stmt.where(stock_sq.c.brand_id == brand_id)
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if specs_hash:
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stmt = stmt.where(stock_sq.c.specs_hash == specs_hash)
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rows = (await db.execute(stmt)).all()
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units_legend: dict[str, str] = {}
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@@ -212,12 +270,18 @@ async def inventory_drilldown(
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materials_tree: dict[str, dict] = {}
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for mid, mname, bname, specs, pid, pname, wid, wname, ucode, uname_fa, qty, row_count in rows:
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for mid, mname, bname, specs, pid, pname, wid, wname, ucode, uname_fa, qty, row_count, canon_ucode, canon_uname_fa in rows:
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q = _qty(qty)
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units_legend[ucode] = uname_fa
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total_by_unit[ucode] = round(total_by_unit.get(ucode, 0.0) + q, 4)
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# افسانهی واحدها و جمع کل؛ مواد بدون ردیف موجودی با واحد کاتالوگی و صفر
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if ucode is not None:
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units_legend[ucode] = uname_fa
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total_by_unit[ucode] = round(total_by_unit.get(ucode, 0.0) + q, 4)
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elif canon_ucode is not None:
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units_legend.setdefault(canon_ucode, canon_uname_fa)
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total_by_unit.setdefault(canon_ucode, 0.0)
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total_rows += row_count
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# Build full material name
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parts = [mname]
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if bname:
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@@ -227,14 +291,21 @@ async def inventory_drilldown(
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full_name = " ".join(parts)
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# Use full_name + unit as unique key for material level, or just full_name
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mat_key = f"{mid}_{full_name}"
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mat = materials_tree.setdefault(
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mat_key,
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{"id": mat_key, "name": full_name, "qty_by_unit": {}, "rows": 0, "_projects": {}},
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)
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mat["qty_by_unit"][ucode] = round(mat["qty_by_unit"].get(ucode, 0.0) + q, 4)
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if ucode is not None:
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mat["qty_by_unit"][ucode] = round(mat["qty_by_unit"].get(ucode, 0.0) + q, 4)
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elif canon_ucode is not None:
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mat["qty_by_unit"].setdefault(canon_ucode, 0.0)
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mat["rows"] += row_count
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# مواد بدون هیچ ردیف موجودی: فقط روی محور میمانند (بدون پروژه/انبار)
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if pid is None:
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continue
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proj = mat["_projects"].setdefault(
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pid,
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{"id": str(pid), "name": pname, "qty_by_unit": {}, "rows": 0, "_warehouses": {}},
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