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 'Сляб стан 5000'
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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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            thickness=row["Толщина материнского сляба, мм <Производство>"]
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            steel_mark = row["Марка стали <Производство>"]
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            strength_1 = steel_mark if pd.isna(row["Класс прочности <Производство>"]) and pd.notna(steel_mark) else row["Класс прочности <Производство>"]
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            strength_class = consolidator.strength_by_steel(steel_mark)
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            strength_2 = consolidator.strength_mapping(strength_class,steel_mark)
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            strength_led = consolidator.strength_led(strength_2[0])
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            strength_led_int = int(strength_led[1:])
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            gmsps = consolidator.get_gmsps(steel_mark,product)
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            print(f"{product} - strength_led: {strength_led}; gmsps: {gmsps}; strength_led_int: {strength_led_int}")
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            product_up=f"{product} {strength_led}"
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            if "ГУ" in gmsps: product_up=f"{product} ГУ"
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            elif strength_led_int >=60:
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                thickness_led = consolidator.nearest_in_guid("Параметры по Продукту Прокат",
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                f"`Производство`=='Сляб стан 5000' and `Продукт`=='{product}' and `Доп параметр2`=='{strength_led}'",
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                "Доп параметр1",thickness,"Доп параметр1")
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                thickness_led_s = str(thickness_led).replace(".0","")
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                product_up=f"{product} Т{thickness_led_s} {strength_led}"
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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__=="__slab_5k__":
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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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