feat: enm mpoint 添加计算系数字段

apps/enm/migrations/0052_auto_20241225_1405.py

@@ -0,0 +1,33 @@
+# Generated by Django 3.2.12 on 2024-12-25 06:05
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('enm', '0051_enstat_note'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='mpoint',
+            name='cal_coefficient',
+            field=models.FloatField(blank=True, null=True, verbose_name='计算系数'),
+        ),
+        migrations.AddField(
+            model_name='mpoint',
+            name='need_change_cal_coefficient',
+            field=models.BooleanField(default=False, verbose_name='是否需要变更计算系数'),
+        ),
+        migrations.AddField(
+            model_name='mpointstat',
+            name='current_cal_coefficient',
+            field=models.FloatField(blank=True, null=True, verbose_name='采用计算系数'),
+        ),
+        migrations.AlterField(
+            model_name='mpoint',
+            name='coefficient',
+            field=models.FloatField(default=1.0, verbose_name='采集系数'),
+        ),
+    ]

apps/enm/models.py

@@ -50,11 +50,16 @@ class Mpoint(CommonBModel):
 
     need_display = models.BooleanField("是否需要展示", default=False)
     report_sortstr = models.CharField('在报告中的排序', max_length=50, default='', blank=True)
-    coefficient = models.FloatField("系数", default=1.0)
+
+    coefficient = models.FloatField("采集系数", default=1.0)
+    
+    need_change_cal_coefficient = models.BooleanField("是否需要变更计算系数", default=False)
+    cal_coefficient = models.FloatField("计算系数", null=True, blank=True)
 
     @classmethod
     def cache_key(cls, code: str):
         return f"mpoint_{code}"
+
 class MpLogx(models.Model):
     """
     测点记录超表
@@ -103,6 +108,7 @@ class MpointStat(CommonADModel):
     val = models.FloatField("统计值", default=0)
     val_level = models.CharField("峰谷平", max_length=50, null=True, blank=True, help_text="peak/high/flat/low/deep")
     val_origin = models.FloatField("统计原始值", default=0)
+    current_cal_coefficient = models.FloatField("采用计算系数", null=True, blank=True)
     val_correct = models.FloatField("统计矫正值", null=True, blank=True)
     total_production = models.FloatField("总产量", default=0, help_text="t")
     elec_consume_unit = models.FloatField("单位产品电耗", default=0, help_text="kw·h/t")

apps/enm/views.py

@@ -45,6 +45,7 @@ class MpointViewSet(CustomModelViewSet):
             "material": ["exact", "isnull"],
             "material__code": ["exact", "in"],
             "code": ["exact", "contains", "in"],
+            "need_change_cal_coefficient": ["exact"],
         }
 
     search_fields = ["name", "code", "nickname", "material__code", "material__name"]
@@ -198,7 +199,7 @@ class MpointStatViewSet(BulkCreateModelMixin, BulkDestroyModelMixin, CustomListM
         cal_mpointstat_manual.delay(mpoint.id, sflogId, mgroup.id, None, None, None, None, year_s, month_s, day_s, next_cal=1)
         return Response()
 
-    @action(methods=["post"], detail=False, perms_map={"post": "mpointstat.create"}, serializer_class=ReCalSerializer)
+    @action(methods=["post"], detail=False, perms_map={"post": "mpointstat.correct"}, serializer_class=ReCalSerializer)
     def recal(self, request, *args, **kwargs):
         """重新运行某段时间的enm计算