feat: 设备模具统计按归属日期汇总

This commit is contained in:
souplearn 2026-07-25 05:28:44 +08:00
parent 9674554b98
commit 37f2b2dcb2
3 changed files with 256 additions and 68 deletions

View File

@ -7,7 +7,14 @@ from sqlalchemy.orm import Session, selectinload
from app.database import get_db
from app.deps import require_roles
from app.models import Equipment, Personnel, ProductionReport, ReportStatus, Role
from app.models import (
Equipment,
Personnel,
ProductionReport,
ProductionReportAllocation,
ReportStatus,
Role,
)
from app.schemas import (
PageResponse,
UsageStatsDailyRow,
@ -18,7 +25,7 @@ from app.schemas import (
from app.services.attendance_points import accessible_point_names, require_attendance_point_access
from app.services.common import round2
from app.services.report_lifecycle import purge_expired_voided_reports
from app.services.usage_stats import UsageStatRow, build_usage_stats
from app.services.usage_stats import UsageStatRow, build_usage_stats_from_allocations
from app.services.usage_stats_export import export_usage_stats_rows
router = APIRouter(prefix="/api/usage-stats", tags=["usage-stats"])
@ -47,10 +54,19 @@ def _equipment_type_map(db: Session, point_names: list[str]) -> dict[tuple[str,
return {(_clean(row.attendance_point_name), _clean(row.device_no)): row.device_type for row in rows}
def _approved_reports_query(point_names: list[str], start_date: date | None, end_date: date | None):
def _approved_allocations_query(
point_names: list[str],
start_date: date | None,
end_date: date | None,
):
query = (
select(ProductionReport)
.options(selectinload(ProductionReport.employee), selectinload(ProductionReport.items))
select(ProductionReportAllocation)
.join(ProductionReportAllocation.report)
.join(ProductionReportAllocation.item)
.options(
selectinload(ProductionReportAllocation.report).selectinload(ProductionReport.employee),
selectinload(ProductionReportAllocation.item),
)
.where(
ProductionReport.status == ReportStatus.approved,
ProductionReport.is_voided.is_(False),
@ -58,10 +74,14 @@ def _approved_reports_query(point_names: list[str], start_date: date | None, end
)
)
if start_date:
query = query.where(ProductionReport.report_date >= start_date)
query = query.where(ProductionReportAllocation.allocation_date >= start_date)
if end_date:
query = query.where(ProductionReport.report_date <= end_date)
return query.order_by(ProductionReport.report_date.desc(), ProductionReport.id.desc())
query = query.where(ProductionReportAllocation.allocation_date <= end_date)
return query.order_by(
ProductionReportAllocation.allocation_date.desc(),
ProductionReportAllocation.report_id.desc(),
ProductionReportAllocation.id.desc(),
)
def _sort_usage_rows(rows: list[UsageStatRow], sort_by: str) -> list[UsageStatRow]:
@ -174,6 +194,93 @@ def _build_usage_stats_export_response(device_rows: list[UsageStatRow], mold_row
)
def _build_usage_stats_detail_from_allocations(
*,
allocations: list,
category: str,
target_args: dict,
equipment_type_by_key: dict[tuple[str, str], str],
) -> UsageStatsDetailOut:
rows = build_usage_stats_from_allocations(
allocations=allocations,
category=category,
equipment_type_by_key=equipment_type_by_key,
)
target = next((row for row in rows if _matches_target(row, **target_args)), None)
if target is None:
return UsageStatsDetailOut(
id=target_args["id"],
category=category,
attendance_point_name=target_args["attendance_point_name"],
name=target_args["name"],
product_name=target_args["product_name"],
process_name=target_args["process_name"],
stamping_method=target_args["stamping_method"],
metric_kind=target_args["metric_kind"],
)
grouped_allocations: dict[tuple[date, int], list] = {}
group_reports: dict[tuple[date, int], object | None] = {}
for allocation in allocations:
allocation_date = getattr(allocation, "allocation_date")
report = getattr(allocation, "report", None)
report_id = getattr(allocation, "report_id", None)
if report_id is None and report is not None:
report_id = getattr(report, "id", None)
group_key = (allocation_date, report_id if report_id is not None else id(allocation))
grouped_allocations.setdefault(group_key, []).append(allocation)
group_reports.setdefault(group_key, report)
daily_rows: dict[date, UsageStatsDailyRow] = {}
report_rows: list[UsageStatsReportRow] = []
for (allocation_date, report_key), group in grouped_allocations.items():
group_matches = build_usage_stats_from_allocations(
allocations=group,
category=category,
equipment_type_by_key=equipment_type_by_key,
)
match = next((row for row in group_matches if _matches_target(row, **target_args)), None)
if match is None:
continue
day = daily_rows.setdefault(
allocation_date,
UsageStatsDailyRow(report_date=allocation_date),
)
day.value = round2(day.value + match.value)
day.report_count += match.report_count
report = group_reports[(allocation_date, report_key)]
employee = getattr(report, "employee", None) if report is not None else None
report_id = (
getattr(report, "id", None)
if report is not None
else getattr(group[0], "report_id", None)
)
employee_phone = getattr(report, "employee_phone", "") if report is not None else ""
report_rows.append(
UsageStatsReportRow(
report_id=report_id or 0,
report_date=allocation_date,
employee_phone=employee_phone,
employee_name=employee.name if employee else "",
display_name=target.name,
value=match.value,
report_count=match.report_count,
)
)
return _to_detail_out(
target,
daily_rows=sorted(daily_rows.values(), key=lambda row: row.report_date),
report_rows=sorted(
report_rows,
key=lambda row: (row.report_date, row.report_id),
reverse=True,
),
)
@router.get("/summary", response_model=PageResponse)
def usage_stats_summary(
category: str = Query("device", pattern="^(device|mold)$"),
@ -189,11 +296,11 @@ def usage_stats_summary(
) -> PageResponse:
purge_expired_voided_reports(db)
point_names = _requested_points(db, user, attendance_point_name)
reports = db.scalars(_approved_reports_query(point_names, start_date, end_date)).all()
allocations = db.scalars(_approved_allocations_query(point_names, start_date, end_date)).all()
rows = _sort_usage_rows(
_filter_usage_rows(
build_usage_stats(
reports=reports,
build_usage_stats_from_allocations(
allocations=allocations,
category=category,
equipment_type_by_key=_equipment_type_map(db, point_names),
),
@ -227,11 +334,11 @@ def export_usage_stats_excel(
purge_expired_voided_reports(db)
point_names = _requested_points(db, user, attendance_point_name)
equipment_type_by_key = _equipment_type_map(db, point_names)
reports = db.scalars(_approved_reports_query(point_names, start_date, end_date)).all()
allocations = db.scalars(_approved_allocations_query(point_names, start_date, end_date)).all()
device_rows = _sort_usage_rows(
_filter_usage_rows(
build_usage_stats(
reports=reports,
build_usage_stats_from_allocations(
allocations=allocations,
category="device",
equipment_type_by_key=equipment_type_by_key,
),
@ -241,8 +348,8 @@ def export_usage_stats_excel(
)
mold_rows = _sort_usage_rows(
_filter_usage_rows(
build_usage_stats(
reports=reports,
build_usage_stats_from_allocations(
allocations=allocations,
category="mold",
equipment_type_by_key=equipment_type_by_key,
),
@ -271,7 +378,7 @@ def usage_stats_detail(
purge_expired_voided_reports(db)
point_names = _requested_points(db, user, attendance_point_name)
equipment_type_by_key = _equipment_type_map(db, point_names)
reports = db.scalars(_approved_reports_query(point_names, start_date, end_date)).all()
allocations = db.scalars(_approved_allocations_query(point_names, start_date, end_date)).all()
target_args = {
"id": _clean(id),
"category": category,
@ -282,53 +389,9 @@ def usage_stats_detail(
"stamping_method": _clean(stamping_method),
"metric_kind": _clean(metric_kind),
}
rows = build_usage_stats(
reports=reports,
return _build_usage_stats_detail_from_allocations(
allocations=allocations,
category=category,
target_args=target_args,
equipment_type_by_key=equipment_type_by_key,
)
target = next((row for row in rows if _matches_target(row, **target_args)), None)
if target is None:
return UsageStatsDetailOut(
id=target_args["id"],
category=category,
attendance_point_name=target_args["attendance_point_name"],
name=target_args["name"],
product_name=target_args["product_name"],
process_name=target_args["process_name"],
stamping_method=target_args["stamping_method"],
metric_kind=target_args["metric_kind"],
)
daily_rows: dict[date, UsageStatsDailyRow] = {}
report_rows: list[UsageStatsReportRow] = []
for report in reports:
report_matches = build_usage_stats(
reports=[report],
category=category,
equipment_type_by_key=equipment_type_by_key,
)
match = next((row for row in report_matches if _matches_target(row, **target_args)), None)
if match is None:
continue
day = daily_rows.setdefault(report.report_date, UsageStatsDailyRow(report_date=report.report_date))
day.value = round2(day.value + match.value)
day.report_count += match.report_count
report_rows.append(
UsageStatsReportRow(
report_id=report.id,
report_date=report.report_date,
employee_phone=report.employee_phone,
employee_name=report.employee.name if report.employee else "",
display_name=target.name,
value=match.value,
report_count=match.report_count,
)
)
return _to_detail_out(
target,
daily_rows=sorted(daily_rows.values(), key=lambda row: row.report_date),
report_rows=sorted(report_rows, key=lambda row: (row.report_date, row.report_id), reverse=True),
)

View File

@ -1,6 +1,7 @@
import json
import re
from dataclasses import dataclass, field
from types import SimpleNamespace
from typing import Any
from app.services.cleaning import is_cleaning_item
@ -33,6 +34,7 @@ class UsageStatRow:
object_type: str
value: float = 0
report_count: int = 0
report_ids: set[int] = field(default_factory=set, repr=False)
tags: list[str] = field(default_factory=list)
attendance_point_name: str = ""
product_name: str = ""
@ -58,6 +60,7 @@ class UsageStatAccumulator:
product_name: str = "",
process_name: str = "",
stamping_method: str = "",
report_id: int | None = None,
) -> None:
row = self._rows.get(key)
if row is None:
@ -86,7 +89,11 @@ class UsageStatAccumulator:
row.object_type = object_type
row.value += as_float(value)
row.report_count += 1
if report_id is None:
row.report_count += 1
elif report_id not in row.report_ids:
row.report_ids.add(report_id)
row.report_count += 1
for tag in tags or []:
if tag and tag not in row.tags:
row.tags.append(tag)
@ -119,12 +126,42 @@ def build_usage_stats(
raise ValueError("category must be device or mold")
def build_usage_stats_from_allocations(
*,
allocations: list,
category: str,
equipment_type_by_key: dict[tuple[str, str], str],
) -> list[UsageStatRow]:
reports = []
for allocation in allocations:
item = allocation.item
if item is None:
continue
proxy = SimpleNamespace(
attendance_point_name=item.attendance_point_name,
product_name=item.product_name,
process_name=item.process_name,
stamping_method=item.stamping_method,
operator_count=item.operator_count,
device_no=item.device_no,
allocated_minutes=allocation.effective_minutes,
good_qty=allocation.good_qty,
report_id=allocation.report_id,
)
reports.append(SimpleNamespace(items=[proxy]))
return build_usage_stats(
reports=reports,
category=category,
equipment_type_by_key=equipment_type_by_key,
)
def _build_device_usage_stats(
reports: list,
equipment_type_by_key: dict[tuple[str, str], str],
) -> list[UsageStatRow]:
acc = UsageStatAccumulator(category="device")
for item in _iter_report_items(reports):
for item, report_id in _iter_report_items(reports):
if is_misc_item(item):
continue
@ -144,6 +181,7 @@ def _build_device_usage_stats(
value=value,
tags=[TAG_CLEANING],
attendance_point_name=point_name,
report_id=report_id,
)
continue
@ -157,13 +195,14 @@ def _build_device_usage_stats(
object_type=equipment_type_by_key.get((point_name, device_no), DEVICE_TYPE_STAMPING),
value=as_float(getattr(item, "allocated_minutes", 0)),
attendance_point_name=point_name,
report_id=report_id,
)
return acc.rows()
def _build_mold_usage_stats(reports: list) -> list[UsageStatRow]:
acc = UsageStatAccumulator(category="mold")
for item in _iter_report_items(reports):
for item, report_id in _iter_report_items(reports):
if is_misc_item(item):
continue
@ -187,13 +226,17 @@ def _build_mold_usage_stats(reports: list) -> list[UsageStatRow]:
product_name=product_name,
process_name=process_name,
stamping_method=stamping_method,
report_id=report_id,
)
return acc.rows()
def _iter_report_items(reports: list):
for report in reports:
yield from getattr(report, "items", []) or []
report_id = getattr(report, "id", None)
for item in getattr(report, "items", []) or []:
item_report_id = getattr(item, "report_id", None)
yield item, item_report_id if item_report_id is not None else report_id
def _item_tags(item) -> list[str]:

View File

@ -1,9 +1,11 @@
from datetime import date
from io import BytesIO
from types import SimpleNamespace
import json
from openpyxl import load_workbook
from app.routers import usage_stats as usage_stats_router
from app.routers.usage_stats import (
_build_usage_stats_export_response,
_filter_usage_rows,
@ -13,6 +15,7 @@ from app.routers.usage_stats import (
_to_schema_row,
)
from app.schemas import UsageStatsDetailOut, UsageStatsRow
from app.services import usage_stats as usage_stats_service
from app.services.usage_stats import UsageStatRow
from app.services.usage_stats import build_usage_stats, split_cleaning_device_nos
from app.services.usage_stats_export import export_usage_stats_rows
@ -314,6 +317,31 @@ def test_build_usage_stats_for_cleaning_device_defaults_object_type_to_cleaning_
assert rows[0].object_type == "清洗设备"
def test_usage_stats_dedupes_report_count_for_split_allocations():
allocation_a = SimpleNamespace(
report_id=1,
effective_minutes=350,
good_qty=350,
item=_item(device_no="28#", allocated_minutes=0, good_qty=0),
)
allocation_b = SimpleNamespace(
report_id=1,
effective_minutes=300,
good_qty=300,
item=_item(device_no="28#", allocated_minutes=0, good_qty=0),
)
rows = usage_stats_service.build_usage_stats_from_allocations(
allocations=[allocation_a, allocation_b],
category="device",
equipment_type_by_key={("嘉恒", "28#"): "冲压设备"},
)
assert len(rows) == 1
assert rows[0].value == 650
assert rows[0].report_count == 1
def test_filter_usage_rows_searches_all_visible_fields():
rows = [
UsageStatRow(
@ -646,3 +674,57 @@ def test_matches_target_uses_id_before_ambiguous_device_fields():
assert _matches_target(minutes_row, **target_args)
assert not _matches_target(quantity_row, **target_args)
def test_usage_stats_detail_rows_use_allocation_date_and_dedupe_daily_report_count():
report = SimpleNamespace(
id=7,
report_date=date(2026, 7, 24),
employee_phone="13800000000",
employee=SimpleNamespace(name="张三"),
)
item = _item(device_no="28#", allocated_minutes=0, good_qty=0)
allocations = [
SimpleNamespace(
report_id=7,
allocation_date=date(2026, 7, 25),
effective_minutes=350,
good_qty=350,
report=report,
item=item,
),
SimpleNamespace(
report_id=7,
allocation_date=date(2026, 7, 25),
effective_minutes=300,
good_qty=300,
report=report,
item=item,
),
]
detail = usage_stats_router._build_usage_stats_detail_from_allocations(
allocations=allocations,
category="device",
target_args={
"id": "",
"category": "device",
"attendance_point_name": "",
"name": "28#",
"product_name": "",
"process_name": "",
"stamping_method": "",
"metric_kind": "minutes",
},
equipment_type_by_key={("嘉恒", "28#"): "冲压设备"},
)
assert detail.value == 650
assert detail.report_count == 1
assert [(row.report_date, row.value, row.report_count) for row in detail.daily_rows] == [
(date(2026, 7, 25), 650, 1)
]
assert [
(row.report_id, row.report_date, row.value, row.report_count)
for row in detail.report_rows
] == [(7, date(2026, 7, 25), 650, 1)]