consolidator

1
import os
2
import sys
3
import pandas as pd
4
import datetime
5
from MainConsolidator import MainConsolidator
6

7
class handler(object):
8
    @staticmethod
9
    def module_name():
10
        return 'Труба ТЭСЦ-1'
11
    @staticmethod
12
    def handle(row:pd.Series,consolidator:MainConsolidator)->pd.Series:
13
        product_up = None
14
        try:
15
            product = row["Первичный продукт"]
16
            vm_code = row['Вид материала в SAP ERP'][:4]
17
            pipe_type = consolidator.scalar_in_guid("Виды материалов ТЭСЦ-1",f"`Код`=='{vm_code}'","Тип трубы")
18
            if pipe_type=="НГП":
19
                strength_1 = consolidator.strength_by_steel(row["Марка стали <Производство>"])
20
                strength_steel = consolidator.strength_mapping(strength_1,row["Марка стали <Производство>"])
21
                gmsps = consolidator.get_gmsps(strength_steel[1],product)
22
                thickness = row["Толщина стенки, мм <Производство>"]
23
                diametr = row["Диаметр, мм <Производство>"]
24
                diametr_led = consolidator.nearest_in_guid("Параметры по Продукту ТЭСЦ-5",
25
                    f"`Производство`=='Труба нефтепроводная ТЭСЦ-5' and `Продукт`=='{product}'",
26
                    "Доп параметр1",
27
                    diametr,
28
                    "Доп параметр1")
29
                diametr_led_s = str(diametr_led).replace(".0","")
30
                print(f"product: {product}; gmsps: {gmsps}; thickness: {thickness}; diametr: {diametr}; diametr_led: {diametr_led_s}; ")
31
                thickness_range = None
32
                if "ГУ" in gmsps or "ГФ" in gmsps:
33
                    thickness_range = consolidator.scalar_in_guid("Параметры по Продукту ТЭСЦ-5",
34
                        f"`Производство`=='Труба нефтепроводная ТЭСЦ-5' and `Продукт`=='{product}' and `Доп параметр2` == 'ГУ' and `Мин`<={thickness}<=`Макс`","Диапазон")
35
                    product_up=f"{product}{diametr_led_s} {thickness_range} ГУ"
36
                else:
37
                    product_up=f"{product}{diametr_led_s} {gmsps}"
38
            
39
            print(f"{product} - pipe_type: {pipe_type} ({vm_code})")
40
            row["error"] = pd.NA
41
        except Exception as exp: 
42
            row["error"] = f"{exp}"
43
        finally:
44
            row["Продукт УП"]=product_up
45
            row["Время укрупнения"]=datetime.datetime.now()
46
            return row
47
        
48
    def debug_handle(self,inputDf:pd.DataFrame,consolidator:MainConsolidator,module:str=None)->pd.DataFrame:
49
        try:
50
            if module is None: return inputDf.apply(lambda row: self.handle(row,consolidator), axis=1)
51
            else: return inputDf[inputDf["Производство2"]==module].apply(lambda row: self.handle(row,consolidator), axis=1)
52
        except: raise
53
    
54
    def get_compiled(self):
55
        code:str=f"print('{__file__}')"
56
        try:
57
            with open(__file__,encoding="utf-8",mode="r") as f:
58
                code=f.read()
59
        except Exception as exp: 
60
            code=f"print('error: {exp}')"
61
        finally:
62
            cc = compile(code,"","exec")
63
            return cc
64

65
if __name__=="__pipe_t1__":
66
    consolidator:MainConsolidator
67
    record:pd.Series
68
    result:pd.Series
69
    result = handler.handle(record,consolidator)
70

71