78 lines
2.8 KiB
Python
78 lines
2.8 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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from commons.models.price_result import PriceResult
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class Cement325Calculator(Calculator):
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name = "32.5 水泥"
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material_id = "09.60.60.00"
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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='32.5级水泥')
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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='32.5级水泥', spec='旋窑（散装）')
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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='水泥', spec='32.5')
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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='32.5级水泥', spec='旋窑')
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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='水泥', spec='32.5')
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data = query.first()
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price = data.price 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, round_by=5):
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self._fluctuatings = [self.fluctuating_network, self.fluctuating_survey, self.fluctuating_fhb, self.fluctuating_ftb]
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return super()._get_recommend_price(round_by)
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def save(self):
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result = self.result()
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PriceResult(**result).upsert()
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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 = Cement325Calculator(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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