from sqlalchemy import func from calculators import Calculator from commons.models.fujian_survey import FujianSurvey from commons.models.fuzhou_highway_bureau import FuzhouHighwayBureau from commons.models.fuzhou_transportation_bureau import FuzhouTransportationBureau from commons.models.price_result import PriceResult from commons.models.steel_plate import SteelPlate class SteelPlateCalculator(Calculator): name = "中厚板" material_id = "17.01.61.00" unit = "t" spec = "" def __init__(self, year, month): self.year = year self.month = month def _get_ftb_price(self): query = FuzhouTransportationBureau.get_query(self.year, self.month, name='钢板') query = query.with_entities(func.avg(FuzhouTransportationBureau.price)) result = query.all() if not result[0][0]: return 0, 0 price = int(result[0][0]) fluctuating = price - int(getattr(self.previous_prices, 'ftb_price', price)) return price, fluctuating # def _get_ss_price(self): # return 4000, -10 def _get_fhb_price(self): query = FuzhouHighwayBureau.get_query(self.year, self.month, name='钢板') query = query.with_entities(func.avg(FuzhouHighwayBureau.price)) result = query.all() if not result[0][0]: return 0, 0 price = int(result[0][0]) fluctuating = price - int(getattr(self.previous_prices, 'ftb_price', price)) return price, fluctuating def _get_network_price(self): result = SteelPlate.get_items(self.year, self.month) prices = {spec: float(price) for spec, price in result} price = 0.2 * prices.get('12', 0) + 0.6 * prices.get('16-20', 0) + 0.2 * prices.get('22-28', 0) price = round(price) fluctuating = price - getattr(self.previous_prices, 'price_network', price) return price, fluctuating def _get_survey_price(self): query = FujianSurvey.get_query(self.year, self.month, name='钢板') query = query.with_entities(func.avg(FujianSurvey.price)) result = query.all() if not result[0][0]: return 0, 0 price = int(result[0][0]) fluctuating = price - getattr(self.previous_prices, 'price_survey', price) return price, fluctuating def _get_recommend_price(self): self._fluctuatings = [self.fluctuating_network, self.fluctuating_survey, self.fluctuating_fhb, self.fluctuating_ftb] return super()._get_recommend_price() def save(self): result = self.result() PriceResult(**result).upsert() if __name__ == '__main__': from core.factory import ClientApp with ClientApp().app_context(): calculator = SteelPlateCalculator(year=2023, month=11) result = calculator.run() calculator.save() print(result)