from sqlalchemy import func

from calculators import Calculator
from commons.models.data_network import DataNetwork
from commons.models.fujian_survey import FujianSurvey
from commons.models.price_result import PriceResult


class AsphaltImportedCalculator(Calculator):
    name = "进口沥青"
    material_id = "06.60.60.00"
    unit = "t"
    spec = ""

    def __init__(self, year, month):
        self.year = year
        self.month = month

    def _get_network_price(self):
        query = DataNetwork.get_query(self.year, self.month, name='石油沥青', spec='进口')
        data = query.first()
        price = data.price if data else 0

        previous_price = int(getattr(self.previous_prices, 'price_network', price))
        fluctuating = price - previous_price

        return price, fluctuating

    def _get_survey_price(self):
        query = FujianSurvey.get_query(self.year, self.month, name='石油沥青', spec='进口  (路面用)')
        query = query.with_entities(func.avg(FujianSurvey.price))
        data = query.first()
        price = int(data[0]) if data[0] else 0
        fluctuating = price - int(getattr(self.previous_prices, 'price_survey', price))
        return price, fluctuating

    def _get_recommend_price(self):
        self._fluctuatings = [self.fluctuating_network, self.fluctuating_survey]
        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 = AsphaltImportedCalculator(year=2024, month=5)
        result = calculator.run()
        calculator.save()
        print(result)