69 lines
2.6 KiB
Python
69 lines
2.6 KiB
Python
from sqlalchemy import func
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from calculators import Calculator
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from commons.models.data_fujian import DataFujian
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from commons.models.data_network import DataNetwork
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from commons.models.fujian_survey import FujianSurvey
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from commons.models.fuzhou_highway_bureau import FuzhouHighwayBureau
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from commons.models.fuzhou_transportation_bureau import FuzhouTransportationBureau
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class AsphaltDomesticCalculator(Calculator):
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name = "国产沥青"
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material_id = "3001001001"
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unit = "t"
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spec = ""
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def _get_ftb_price(self):
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query = FuzhouTransportationBureau.get_query(self.year, self.month, name='石油沥青', spec='国产')
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query = query.with_entities(func.avg(FuzhouTransportationBureau.price))
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data = query.first()
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price = int(data[0]) if data[0] else 0
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fluctuating = int(self._get_fluctuating('price_ftb', price))
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return price, fluctuating
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def _get_fhb_price(self):
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query = FuzhouHighwayBureau.get_query(self.year, self.month, name='石油沥青', spec='国产')
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query = query.with_entities(func.avg(FuzhouHighwayBureau.price))
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data = query.first()
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price = int(data[0]) if data[0] else 0
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fluctuating = int(self._get_fluctuating('price_fhb', price))
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return price, fluctuating
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def _get_network_price(self):
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query = DataNetwork.get_query(self.year, self.month, name='石油沥青', spec='国产')
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data = query.first()
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price = data.price if data else 0
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fluctuating = int(self._get_fluctuating('price_network', price))
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return price, fluctuating
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def _get_survey_price(self):
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query = FujianSurvey.get_query(self.year, self.month, name='石油沥青', spec='国产')
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query = query.with_entities(func.avg(FujianSurvey.price))
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data = query.first()
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price = int(data[0]) if data[0] else 0
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fluctuating = int(self._get_fluctuating('price_survey', price))
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return price, fluctuating
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def _get_fujian_price(self):
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query = DataFujian.get_query(self.year, self.month, name='石油沥青')
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data = query.first()
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price = data.price * 1000 if data else 0
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fluctuating = self._get_fluctuating('price_fujian', price)
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return price, fluctuating
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def _get_recommend_price(self):
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self._fluctuatings = [self.fluctuating_network, self.fluctuating_survey]
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return super()._get_recommend_price()
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if __name__ == '__main__':
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from core.factory import ClientApp
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with ClientApp().app_context():
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calculator = AsphaltDomesticCalculator(year=2023, month=12)
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_result = calculator.run()
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calculator.save()
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print(_result)
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