consolidator

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import os
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import sys
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import pandas as pd
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import datetime
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from MainConsolidator import MainConsolidator
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class handler(object):
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    @staticmethod
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    def module_name():
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        return 'Труба нефтепроводная ТЭСЦ-1'
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    @staticmethod
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    def handle(row:pd.Series,consolidator:MainConsolidator)->pd.Series:
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        product_up = None
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        try:
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            product = row["Первичный продукт"]
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            strength_1 = consolidator.strength_by_steel(row["Марка стали <Производство>"])
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            strength_steel = consolidator.strength_mapping(strength_1,row["Марка стали <Производство>"])
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            gmsps = consolidator.get_gmsps(strength_steel[1],product)
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            thickness = row["Толщина стенки, мм <Производство>"]
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            diametr = row["Диаметр, мм <Производство>"]
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            diametr_led = consolidator.nearest_in_guid("Параметры по Продукту ТЭСЦ-5",
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                f"`Производство`=='Труба нефтепроводная ТЭСЦ-5' and `Продукт`=='{product}'",
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                "Доп параметр1",
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                diametr,
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                "Доп параметр1")
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            diametr_led_s = str(diametr_led).replace(".0","")
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            print(f"product: {product}; gmsps: {gmsps}; thickness: {thickness}; diametr: {diametr}; diametr_led: {diametr_led_s}; ")
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            thickness_range = None
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            if "ГУ" in gmsps or "ГФ" in gmsps:
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                thickness_range = consolidator.scalar_in_guid("Параметры по Продукту ТЭСЦ-5",
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                    f"`Производство`=='Труба нефтепроводная ТЭСЦ-5' and `Продукт`=='{product}' and `Доп параметр2` == 'ГУ' and `Мин`<={thickness}<=`Макс`","Диапазон")
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                product_up=f"{product}{diametr_led_s} {thickness_range} ГУ"
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            else:
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                product_up=f"{product}{diametr_led_s} {gmsps}"
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            row["error"] = pd.NA
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        except Exception as exp: 
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            row["error"] = f"{exp}"
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        finally:
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            row["Продукт УП"]=product_up
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            row["Время укрупнения"]=datetime.datetime.now()
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            return row
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    def debug_handle(self,inputDf:pd.DataFrame,consolidator:MainConsolidator,module:str=None)->pd.DataFrame:
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        try:
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            if module is None: return inputDf.apply(lambda row: self.handle(row,consolidator), axis=1)
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            else: return inputDf[inputDf["Производство2"]==module].apply(lambda row: self.handle(row,consolidator), axis=1)
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        except: raise
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    def get_compiled(self):
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        code:str=f"print('{__file__}')"
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        try:
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            with open(__file__,encoding="utf-8",mode="r") as f:
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                code=f.read()
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        except Exception as exp: 
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            code=f"print('error: {exp}')"
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        finally:
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            cc = compile(code,"","exec")
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            return cc
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if __name__=="__pipe_oil_t1__":
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    consolidator:MainConsolidator
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    record:pd.Series
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    result:pd.Series
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    result = handler.handle(record,consolidator)
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