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74 lines
3.1 KiB
74 lines
3.1 KiB
from io import BytesIO
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import pandas as pd
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from django.contrib.gis.measure import Distance
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from django.db.models import F
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from postamates.settings import DEFAULT_PLACEMENT_POINT_UPDATE_RADIUS
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from service import models
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from service.enums import PointStatus
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from service.tasks import raschet
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class PointService:
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def update_fact(self, postamat_id: str, fact: int):
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qs = self.get_point_by_postamat_id(postamat_id)
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qs.update(**{'fact': fact})
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def update_postamat_id(self, point_id: int, postamat_id: str):
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qs = self.get_point_by_id(point_id)
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qs.update(**{'postamat_id': postamat_id})
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@staticmethod
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def update_points_in_radius(qs: models.PlacementPoint, new_status: str):
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for point in qs:
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if new_status == PointStatus.Installation.name:
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if point.status == PointStatus.Pending.name:
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pnts = models.PlacementPoint.objects.filter(
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geometry__distance_lt=(point.geometry, Distance(m=DEFAULT_PLACEMENT_POINT_UPDATE_RADIUS)),
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)
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pnts.update(prediction_first=F('prediction_current'), target_post_cnt=F('target_post_cnt') + 1)
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raschet.delay()
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elif new_status == PointStatus.Cancelled.name or new_status == PointStatus.Pending.name:
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if point.status == PointStatus.Installation.name:
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pnts = models.PlacementPoint.objects.filter(
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geometry__distance_lt=(point.geometry, Distance(m=DEFAULT_PLACEMENT_POINT_UPDATE_RADIUS)),
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)
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pnts.update(target_post_cnt=F('target_post_cnt') - 1 if F('target_post_cnt') != 0 else 0)
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raschet.delay()
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elif new_status == PointStatus.Working.name and point.status == PointStatus.Pending.name:
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raschet.delay()
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@staticmethod
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def update_status(qs: models.PlacementPoint, new_status: str) -> models.PlacementPoint:
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qs.update(**{'status': new_status})
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@staticmethod
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def get_point_by_id(point_id: int):
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return models.PlacementPoint.objects.filter(pk=point_id)
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@staticmethod
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def get_point_by_postamat_id(postamat_id: str):
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return models.PlacementPoint.objects.filter(postamat_id=postamat_id)
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@staticmethod
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def to_excel(qs: models.PlacementPoint):
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data = pd.DataFrame(list(qs.values()))
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data['start_date'] = data['start_date'].dt.tz_localize(None)
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data['sample_trn'] = data['sample_trn'].astype(int)
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with BytesIO() as b:
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with pd.ExcelWriter(b) as writer:
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data.to_excel(
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writer, sheet_name='Placement Points',
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index=False,
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)
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return b.getvalue()
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@staticmethod
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def get_first_10_k():
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if models.PlacementPoint.objects.count() > 10000:
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qs = models.PlacementPoint.objects.order_by('-prediction_current').all()[10000]
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return qs.prediction_current
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else:
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return models.PlacementPoint.objects.order_by('prediction_current').first().prediction_current
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