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MarkCitrus
File size: 17,524 Bytes 
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import streamlit as st #line:1
import pandas as pd #line:2
uploaded_file =st .file_uploader ("Choose product file",type ="csv")#line:4
if uploaded_file :#line:6
    df =pd .read_csv (uploaded_file ,encoding ='utf8')#line:8
uploaded_file2 =st .file_uploader ("Choose inventory file",type ="csv")#line:11
if uploaded_file2 :#line:13
    df2 =pd .read_csv (uploaded_file2 ,encoding ='utf8')#line:15
def ConvertCitrus (O00O000OOOO0O00O0 ,OOO0O0O0OOO0O00O0 ):#line:21
    import RemoveHTMLtags as RHT #line:24
    O0OOOOOO00O000OO0 =str ('<style type=')+str ('"')+str ('"')+str ('text/css')+str ('"')+str ('"')+str ('><!--')#line:32
    OOOO00O00000O00O0 =['<p class=','"p1"','data-mce-fragment="1">,','<b data-mce-fragment="1">','<i data-mce-fragment="1">','<p>','</p>','<p*>','<ul>','</ul>','</i>','</b>','</p>','</br>','<li>','</li>','<br>','<strong>','</strong>','<span*>','</span>','"utf-8"','UTF-8','<a href*>','</a>','<meta charset=utf-8>',';;','<em>','</em>','"','<meta charset=','utf-8>','<p>','<p','data-mce-fragment=1',';','<style type=','<style type=','><!--','text/css','<style type=\"\"text/css\"\"><!--','--></style>','td {border: 1px solid #ccc','}br {mso-data-placement:same-cell','}','>']#line:41
    for O0OO0OOOOO0O0O000 ,O0O0O00O00OO00OO0 in O00O000OOOO0O00O0 .iterrows ():#line:55
        O00O000OOOO0O00O0 .iloc [O0OO0OOOOO0O0O000 ,2 ]=RHT .remove_tags (str (O00O000OOOO0O00O0 .iloc [O0OO0OOOOO0O0O000 ,2 ]))#line:56
    print (O00O000OOOO0O00O0 .iloc [:,2 ])#line:58
    O00O000OOOO0O00O0 .iloc [:,2 ]=pd .Series (O00O000OOOO0O00O0 .iloc [:,2 ],dtype ="string")#line:63
    print (O00O000OOOO0O00O0 .iloc [:,2 ].dtype )#line:64
    O0000OOOOO000000O =O00O000OOOO0O00O0 .columns .tolist ()#line:88
    O0000OO0OOO0OOO0O =O0000OOOOO000000O .copy ()#line:89
    O0000OO0OOO0OOO0O [1 ]=O0000OOOOO000000O [1 ]#line:90
    O0000OO0OOO0OOO0O [17 ]=O0000OOOOO000000O [17 ]#line:92
    OO00O0000O0OO0000 =O00O000OOOO0O00O0 [O0000OO0OOO0OOO0O ].copy (deep =True )#line:113
    print ("SKU")#line:114
    print (O00O000OOOO0O00O0 .iloc [:,24 ])#line:115
    OO0OO000O0OO0000O =O00O000OOOO0O00O0 .copy (deep =True )#line:117
    OO00O0000O0OO0000 .iloc [:,0 ]=OO0OO000O0OO0000O .iloc [:,13 ].copy (deep =True )#line:119
    OO00O0000O0OO0000 .iloc [:,5 ]=OO0OO000O0OO0000O .iloc [:,20 ].copy (deep =True )#line:120
    OO00O0000O0OO0000 .iloc [:,7 ]=OO0OO000O0OO0000O .iloc [:,11 ].copy (deep =True )#line:121
    OO00O0000O0OO0000 .iloc [:,2 ]=OO0OO000O0OO0000O .iloc [:,24 ].copy (deep =True )#line:123
    OO00O0000O0OO0000 .iloc [:,8 ]=OO0OO000O0OO0000O .iloc [:,9 ].copy (deep =True )#line:125
    OO00O0000O0OO0000 .iloc [:,10 ]=OO0OO000O0OO0000O .iloc [:,3 ].copy (deep =True )#line:126
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [10 ]:'Brand'},inplace =True )#line:127
    OO00O0000O0OO0000 .columns .values [10 ]='Brand'#line:128
    OO00O0000O0OO0000 .iloc [:,30 ]=OO0OO000O0OO0000O .iloc [:,15 ].copy (deep =True )#line:130
    OO00O0000O0OO0000 .iloc [:,31 ]=OO0OO000O0OO0000O .iloc [:,5 ].copy (deep =True )#line:131
    OO00O0000O0OO0000 .iloc [:,32 ]=OO0OO000O0OO0000O .iloc [:,2 ].copy (deep =True )#line:132
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [8 ]:'Size 1'},inplace =True )#line:134
    print (list (OO00O0000O0OO0000 .columns .values ))#line:136
    OO00O0000O0OO0000 .iloc [:,20 ]=OO00O0000O0OO0000 .iloc [:,20 ].astype (float )#line:139
    OO00O0000O0OO0000 .iloc [:,4 ]=(((OO00O0000O0OO0000 .iloc [:,20 ]/1.2 )/1.96 )*0.96 )#line:141
    from babel .numbers import format_currency #line:142
    OO00O0000O0OO0000 .iloc [:,4 ]=OO00O0000O0OO0000 .iloc [:,4 ].apply (lambda O0OOO0O00OOO0OO0O :format_currency (O0OOO0O00OOO0OO0O ,currency ="GBP",locale ="en_GB"))#line:143
    OO00O0000O0OO0000 .iloc [:,5 ]=OO00O0000O0OO0000 .iloc [:,5 ].apply (lambda O000O0OO000O0000O :format_currency (O000O0OO000O0000O ,currency ="GBP",locale ="en_GB"))#line:144
    print (((OO00O0000O0OO0000 .iloc [:,20 ]/1.2 )/1.96 )*0.96 )#line:146
    OO00O0000O0OO0000 .iloc [:,2 ]=OO00O0000O0OO0000 .iloc [:,2 ].astype (str ).str .replace ("'","")#line:148
    OO00O0000O0OO0000 .iloc [:,24 ]=OO00O0000O0OO0000 .iloc [:,24 ].astype (str ).str .replace ("'","")#line:152
    print ("SKU")#line:154
    print (OO00O0000O0OO0000 .iloc [:,2 ])#line:155
    print (list (OO00O0000O0OO0000 .columns .values ))#line:174
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [6 ]:'Colour Code (Simple Colour)'},inplace =True )#line:179
    for O0OO0OOOOO0O0O000 ,O0O0O00O00OO00OO0 in OO00O0000O0OO0000 .iterrows ():#line:182
        if O0OO0OOOOO0O0O000 ==0 :#line:183
            print (O0O0O00O00OO00OO0 ['Colour Code (Simple Colour)'])#line:184
        if " mens"in str (O0O0O00O00OO00OO0 ['Colour Code (Simple Colour)']):#line:185
            if " womens"in str (O0O0O00O00OO00OO0 ['Colour Code (Simple Colour)']):#line:186
                OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,12 ]="Unisex"#line:187
            else :#line:188
                OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,12 ]="Mens"#line:189
        if " womens"in str (O0O0O00O00OO00OO0 ['Colour Code (Simple Colour)']):#line:191
            if " mens"in str (O0O0O00O00OO00OO0 ['Colour Code (Simple Colour)']):#line:192
                OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,12 ]="Unisex"#line:193
            else :#line:194
                OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,12 ]="Womens"#line:195
        if " ladys"in str (O0O0O00O00OO00OO0 ['Colour Code (Simple Colour)']):#line:196
                OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,12 ]="Ladys"#line:197
        if O0OO0OOOOO0O0O000 ==0 :#line:198
            print (O0O0O00O00OO00OO0 [12 ])#line:199
    print (OO00O0000O0OO0000 .iloc [:,12 ])#line:200
    OO00O0000O0OO0000 .iloc [:,6 ]=""#line:204
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [0 ]:'Style Number'},inplace =True )#line:206
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [1 ]:'Product Name'},inplace =True )#line:207
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [2 ]:'Vendor SKU'},inplace =True )#line:208
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [3 ]:'UPC/EAN'},inplace =True )#line:209
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [4 ]:'Unit Cost'},inplace =True )#line:210
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [5 ]:'Unit MSRP'},inplace =True )#line:211
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [6 ]:'Colour Code (Simple Colour)'},inplace =True )#line:212
    print (OO00O0000O0OO0000 .columns [6 ])#line:213
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [7 ]:'Colour'},inplace =True )#line:214
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [8 ]:'Size 1'},inplace =True )#line:216
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [9 ]:'Size 2'},inplace =True )#line:217
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [10 ]:'Brand'},inplace =True )#line:218
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [11 ]:'Year of Season'},inplace =True )#line:219
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [12 ]:'Gender'},inplace =True )#line:220
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [13 ]:'Manufacturer Part Code'},inplace =True )#line:221
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [14 ]:'Other Bar Code'},inplace =True )#line:222
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [15 ]:'VAT'},inplace =True )#line:223
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [16 ]:'Pack Qty'},inplace =True )#line:224
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [17 ]:'Stock Count'},inplace =True )#line:226
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [18 ]:'Price Band 1'},inplace =True )#line:227
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [19 ]:'Price Band 2'},inplace =True )#line:228
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [20 ]:'IE VAT'},inplace =True )#line:229
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [21 ]:'Unit Cost in Euros'},inplace =True )#line:230
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [22 ]:'MSRP in Euros'},inplace =True )#line:231
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [23 ]:'Commodity Codes'},inplace =True )#line:233
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [24 ]:'Country of Origin'},inplace =True )#line:234
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [30 ]:'Weight'},inplace =True )#line:236
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [31 ]:'Short Description'},inplace =True )#line:237
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [32 ]:'Long Description'},inplace =True )#line:238
    OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [33 ]:'Video Link'},inplace =True )#line:239
    OO00O0000O0OO0000 .iloc [:,9 ]=""#line:247
    OO00O0000O0OO0000 .iloc [:,13 ]=""#line:249
    OO00O0000O0OO0000 .iloc [:,14 ]=""#line:251
    OO00O0000O0OO0000 .iloc [:,16 ]=""#line:253
    OO00O0000O0OO0000 .iloc [:,18 ]=""#line:255
    OO00O0000O0OO0000 .iloc [:,19 ]=""#line:257
    OO00O0000O0OO0000 .iloc [:,20 ]=""#line:259
    OO00O0000O0OO0000 .iloc [:,21 ]=""#line:261
    OO00O0000O0OO0000 .iloc [:,22 ]=""#line:263
    OO00O0000O0OO0000 .iloc [:,33 ]=""#line:268
    OO00O0000O0OO0000 .iloc [:,15 ]="20"#line:273
    print (list (OO00O0000O0OO0000 .columns .values ))#line:275
    OO00O0000O0OO0000 .iloc [:,3 ]=OO00O0000O0OO0000 .iloc [:,2 ]#line:278
    OO00O0000O0OO0000 .columns .values [10 ]='Brand'#line:279
    OO00O0000O0OO0000 .iloc [:,11 ]=""#line:280
    OO00O0000O0OO0000 .iloc [:,22 ]=""#line:281
    print ("SKU")#line:285
    print (OO00O0000O0OO0000 .iloc [:,2 ])#line:286
    OO00O0000O0OO0000 .iloc [:,23 ]=""#line:291
    OO00O0000O0OO0000 .iloc [:,24 ]=""#line:294
    OO0OOOO0O0OOO00O0 =O00O000OOOO0O00O0 ['Variant SKU']#line:303
    OO0O00O00O00OO0O0 =O00O000OOOO0O00O0 ['Variant SKU'].duplicated ().any ()#line:304
    OO0O00O00O00OO0O0 =OOO0O0O0OOO0O00O0 ['SKU'].duplicated ().any ()#line:306
    O000OO000O0000O00 =OOO0O0O0OOO0O00O0 [OOO0O0O0OOO0O00O0 .duplicated (['SKU'],keep =False )]#line:308
    OOOO0OO00O0O00000 =O00O000OOOO0O00O0 [O00O000OOOO0O00O0 .duplicated (['Variant SKU'],keep =False )]#line:311
    OOO0O0O0OOO0O00O0 =OOO0O0O0OOO0O00O0 .set_index ('SKU')#line:315
    OOO0O0O0OOO0O00O0 .reindex (OO0OOOO0O0OOO00O0 )#line:320
    print ("TERMINE")#line:337
    OO00O0000O0OO0000 .iloc [:,24 ]=OOO0O0O0OOO0O00O0 .loc [:,'COO']#line:339
    OO00O0000O0OO0000 .iloc [:,23 ]=OOO0O0O0OOO0O00O0 .loc [:,'HS Code']#line:340
    OO00O0000O0OO0000 ['Commodity Codes']=OOO0O0O0OOO0O00O0 ['HS Code'].values #line:342
    OO00O0000O0OO0000 ['Country of Origin']=OOO0O0O0OOO0O00O0 ['COO'].values #line:343
    print ("SKU")#line:350
    print (OO00O0000O0OO0000 .iloc [:,2 ])#line:351
    OO00O00OOOO0O00O0 =[]#line:356
    for OO0OOOO000OO0OO00 in range (49 ,58 ):#line:357
        OO00O00OOOO0O00O0 .append (str (OO0OOOO000OO0OO00 ))#line:359
        OO00O0000O0OO0000 [str (OO0OOOO000OO0OO00 )]=''#line:360
    O0000000OOOOO0O0O =[]#line:364
    for OO0OOOO000OO0OO00 in range (0 ,24 ):#line:365
        O0000000OOOOO0O0O .append (34 +OO0OOOO000OO0OO00 )#line:366
    OOOO0OO0OO0OO0OOO =OO00O0000O0OO0000 .columns [O0000000OOOOO0O0O ]#line:372
    O000000O00OOO000O =['Tech Specs','Size Chart','Geometry Chart','Frame','Rear Shock','Fork','Headset','Stem','Handlebar','Bar Tape / Grip','Brakes Levers','Brake Calipers','Tyres','Wheels','Front Derailleur','Rear Derailleur','Shift Levers','Chain','Cassette','Chainset','Bottom Bracket','Pedals','Saddle','Seatpost']#line:373
    OOOO0OO0OO0OO0OOO =OO00O0000O0OO0000 .columns [O0000000OOOOO0O0O ]#line:374
    OO00O0000O0OO0000 .rename (columns =dict (zip (OOOO0OO0OO0OO0OOO ,O000000O00OOO000O )),inplace =True )#line:375
    OO00O0000O0OO0000 .iloc [:,34 :58 ]=''#line:378
    print ("SKUf")#line:381
    print (OO00O0000O0OO0000 .iloc [:,2 ])#line:382
    O0O0OO000OO0OO000 =OO00O0000O0OO0000 .loc [pd .isna (OO00O0000O0OO0000 .loc [:,'Product Name']),:].index #line:402
    O000O00000000O0O0 =OO00O0000O0OO0000 .loc [O0O0OO000OO0OO000 ,'Image Src']#line:403
    O00O00OO0OO000OOO =[]#line:404
    for O0O0O00O00OO00OO0 in OO00O0000O0OO0000 .index :#line:405
        if pd .notna (OO00O0000O0OO0000 .loc [O0O0O00O00OO00OO0 ,'Product Name']):#line:407
            OO00O0OOOO000O0OO =O0O0O00O00OO00OO0 #line:409
            OO0OOOO000OO0OO00 =1 #line:410
            OO000OOOOO0OOOO0O =[]#line:412
            OO000OOOOO0OOOO0O .append (OO00O0000O0OO0000 .loc [O0O0O00O00OO00OO0 ,'Image Src'])#line:414
            while pd .isna (OO00O0000O0OO0000 .loc [O0O0O00O00OO00OO0 +OO0OOOO000OO0OO00 ,'Product Name'])and O0O0O00O00OO00OO0 +OO0OOOO000OO0OO00 <len (OO00O0000O0OO0000 .index )-1 :#line:415
                if "http"in str (OO00O0000O0OO0000 .loc [O0O0O00O00OO00OO0 +OO0OOOO000OO0OO00 ,'Image Src']):#line:417
                    OO000OOOOO0OOOO0O .append (OO00O0000O0OO0000 .loc [O0O0O00O00OO00OO0 +OO0OOOO000OO0OO00 ,'Image Src'])#line:418
                OO0OOOO000OO0OO00 =OO0OOOO000OO0OO00 +1 #line:419
            O00O00OO0OO000OOO .append (OO000OOOOO0OOOO0O )#line:420
    O00OOO00O0OOOOOOO =OO00O0000O0OO0000 .loc [pd .notna (OO00O0000O0OO0000 .loc [:,'Product Name']),:].index #line:423
    OOOOOO00O00OO000O =0 #line:424
    for OO0OOOO000OO0OO00 in range (len (O00O00OO0OO000OOO )):#line:425
        if OOOOOO00O00OO000O <len (O00O00OO0OO000OOO [OO0OOOO000OO0OO00 ]):#line:426
            OOOOOO00O00OO000O =len (O00O00OO0OO000OOO [OO0OOOO000OO0OO00 ])#line:427
    print ("SKUf")#line:428
    print (OO00O0000O0OO0000 .iloc [:,2 ])#line:429
    for OO0O0000OO0O0O0OO in range (OOOOOO00O00OO000O ):#line:433
            OO00O0000O0OO0000 .iloc [:,25 +OO0O0000OO0O0O0OO ]=''#line:434
    O00OO0OOOOO0O000O =0 #line:436
    for O0OO0OOOOO0O0O000 in O00OOO00O0OOOOOOO :#line:437
        for OO0O0000OO0O0O0OO in range (len (O00O00OO0OO000OOO [O00OO0OOOOO0O000O ])):#line:438
            if O00O00OO0OO000OOO [O00OO0OOOOO0O000O ][OO0O0000OO0O0O0OO ]!='nan':#line:441
                OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,25 +OO0O0000OO0O0O0OO ]=O00O00OO0OO000OOO [O00OO0OOOOO0O000O ][OO0O0000OO0O0O0OO ]#line:442
                OO00O0000O0OO0000 .rename (columns ={OO00O0000O0OO0000 .columns [25 +OO0O0000OO0O0O0OO ]:'Image'+str (OO0O0000OO0O0O0OO +1 )},inplace =True )#line:443
        O00OO0OOOOO0O000O =O00OO0OOOOO0O000O +1 #line:445
    print ("SKUf")#line:446
    print (OO00O0000O0OO0000 .iloc [:,2 ])#line:447
    OO0OOO000OO0O0O0O =[None ]*OOOOOO00O00OO000O #line:449
    OOOOO00O0OOOOOOOO =[None ]*OOOOOO00O00OO000O #line:450
    O0O0O0000O0OO0OOO =[None ]*OOOOOO00O00OO000O #line:451
    O000O0O0OO00OOO00 =[None ]*OOOOOO00O00OO000O #line:452
    O0O0000O00O000OO0 =[None ]*OOOOOO00O00OO000O #line:453
    O0000O0O000O0OO00 =[None ]*OOOOOO00O00OO000O #line:454
    for O0OO0OOOOO0O0O000 ,O0O0O00O00OO00OO0 in OO00O0000O0OO0000 .iterrows ():#line:455
        if pd .notna (OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,1 ]):#line:458
            for OO0O0000OO0O0O0OO in range (0 ,OOOOOO00O00OO000O ):#line:459
                OO0OOO000OO0O0O0O [OO0O0000OO0O0O0OO ]=str ((OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,25 +OO0O0000OO0O0O0OO ]))#line:460
                OOOOO00O0OOOOOOOO [OO0O0000OO0O0O0OO ]=str ((OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,1 ]))#line:466
                O0O0O0000O0OO0OOO [OO0O0000OO0O0O0OO ]=str ((OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,10 ]))#line:467
                O000O0O0OO00OOO00 [OO0O0000OO0O0O0OO ]=str ((OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,12 ]))#line:468
                O0O0000O00O000OO0 [OO0O0000OO0O0O0OO ]=str ((OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,31 ]))#line:469
                O0000O0O000O0OO00 [OO0O0000OO0O0O0OO ]=str ((OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,32 ]))#line:470
        else :#line:472
            for OO0O0000OO0O0O0OO in range (0 ,OOOOOO00O00OO000O ):#line:473
                OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,25 +OO0O0000OO0O0O0OO ]=OO0OOO000OO0O0O0O [OO0O0000OO0O0O0OO ]#line:474
                OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,1 ]=OOOOO00O0OOOOOOOO [OO0O0000OO0O0O0OO ]#line:480
                OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,10 ]=O0O0O0000O0OO0OOO [OO0O0000OO0O0O0OO ]#line:481
                OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,12 ]=O000O0O0OO00OOO00 [OO0O0000OO0O0O0OO ]#line:482
                OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,31 ]=O0O0000O00O000OO0 [OO0O0000OO0O0O0OO ]#line:483
                OO00O0000O0OO0000 .iloc [O0OO0OOOOO0O0O000 ,32 ]=O0000O0O000O0OO00 [OO0O0000OO0O0O0OO ]#line:484
    print ("SKUf")#line:488
    print (OO00O0000O0OO0000 .iloc [:,2 ])#line:489
    return OO00O0000O0OO0000 #line:498
def convert_df (OO00OO0O00O00OOOO ):#line:501
   return OO00OO0O00O00OOOO .to_csv (index =False ).encode ('utf_8_sig')#line:502
if uploaded_file and uploaded_file2 :#line:504
    df3 =ConvertCitrus (df ,df2 )#line:505
    csv =convert_df (df3 )#line:509
    st .download_button ("Press to Download",csv ,"file.csv","text/csv",key ='download-csv')