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 (OO0O000O0O0OO0OO0 ,OOOO0OOO0O00O0OO0 ):#line:21
    import RemoveHTMLtags as RHT #line:24
    O000000O00OO0O0OO =str ('<style type=')+str ('"')+str ('"')+str ('text/css')+str ('"')+str ('"')+str ('><!--')#line:32
    O0O00O000O0O000O0 =['<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 O0OO00OOO0O00O00O ,OOO0OOO00OO0O00OO in OO0O000O0O0OO0OO0 .iterrows ():#line:55
        OO0O000O0O0OO0OO0 .iloc [O0OO00OOO0O00O00O ,2 ]=RHT .remove_tags (str (OO0O000O0O0OO0OO0 .iloc [O0OO00OOO0O00O00O ,2 ]))#line:56
    #print (OO0O000O0O0OO0OO0 .iloc [:,2 ])#line:58
    OO0O000O0O0OO0OO0 .iloc [:,2 ]=pd .Series (OO0O000O0O0OO0OO0 .iloc [:,2 ],dtype ="string")#line:63
    #print (OO0O000O0O0OO0OO0 .iloc [:,2 ].dtype )#line:64
    OO0000OO0OOOO0O00 =OO0O000O0O0OO0OO0 .columns .tolist ()#line:88
    OO0O0OO0OOO00OOOO =OO0000OO0OOOO0O00 .copy ()#line:89
    OO0O0OO0OOO00OOOO [1 ]=OO0000OO0OOOO0O00 [1 ]#line:90
    OO0O0OO0OOO00OOOO [17 ]=OO0000OO0OOOO0O00 [17 ]#line:92
    O00OO00000OOO000O =OO0O000O0O0OO0OO0 [OO0O0OO0OOO00OOOO ].copy (deep =True )#line:113
    #print ("SKU")#line:114
    #print (OO0O000O0O0OO0OO0 .iloc [:,24 ])#line:115
    O0OO00OO0O0O0OOO0 =OO0O000O0O0OO0OO0 .copy (deep =True )#line:117
    O00OO00000OOO000O .iloc [:,0 ]=O0OO00OO0O0O0OOO0 .iloc [:,13 ].copy (deep =True )#line:119
    print(OOO0OOO00OO0O00OO [20 ],OOO0OOO00OO0O00OO [21 ])
    
    for O0OO00OOO0O00O00O ,OOO0OOO00OO0O00OO in O0OO00OO0O0O0OOO0 .iterrows ():#line:122
        st.write(OOO0OOO00OO0O00OO [20 ],OOO0OOO00OO0O00OO [21 ])
        if not pd .isnull (OOO0OOO00OO0O00OO [21 ]):#line:123
            O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,5 ]=OOO0OOO00OO0O00OO [21 ]#line:125
            O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,4 ]=(((  float(OOO0OOO00OO0O00OO [21 ])   /1.2 )/1.6 )*0.96 )#line:126
            print(OOO0OOO00OO0O00OO [21 ])
        else :#line:128
            O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,5 ]=OOO0OOO00OO0O00OO [20 ]#line:130
            O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,4 ]=(((   float(OOO0OOO00OO0O00OO [20 ])/1.2 )/1.6 )*0.96 )#line:131
            print (OOO0OOO00OO0O00OO [20 ])#line:132
    #print ("COLUMN5")#line:133
    #print (O00OO00000OOO000O .iloc [:,5 ])#line:134
    O00OO00000OOO000O .iloc [:,7 ]=O0OO00OO0O0O0OOO0 .iloc [:,11 ].copy (deep =True )#line:136
    O00OO00000OOO000O .iloc [:,2 ]=O0OO00OO0O0O0OOO0 .iloc [:,24 ].copy (deep =True )#line:138
    O00OO00000OOO000O .iloc [:,8 ]=O0OO00OO0O0O0OOO0 .iloc [:,9 ].copy (deep =True )#line:140
    O00OO00000OOO000O .iloc [:,10 ]=O0OO00OO0O0O0OOO0 .iloc [:,3 ].copy (deep =True )#line:141
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [10 ]:'Brand'},inplace =True )#line:142
    O00OO00000OOO000O .columns .values [10 ]='Brand'#line:143
    O00OO00000OOO000O .iloc [:,30 ]=O0OO00OO0O0O0OOO0 .iloc [:,15 ].copy (deep =True )#line:145
    O00OO00000OOO000O .iloc [:,31 ]=O0OO00OO0O0O0OOO0 .iloc [:,5 ].copy (deep =True )#line:146
    O00OO00000OOO000O .iloc [:,32 ]=O0OO00OO0O0O0OOO0 .iloc [:,2 ].copy (deep =True )#line:147
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [8 ]:'Size 1'},inplace =True )#line:149
    #print (list (O00OO00000OOO000O .columns .values ))#line:151
    O00OO00000OOO000O .iloc [:,20 ]=O00OO00000OOO000O .iloc [:,20 ].astype (float )#line:160
    from babel .numbers import format_currency #line:162
    O00OO00000OOO000O .iloc [:,4 ]=O00OO00000OOO000O .iloc [:,4 ].apply (lambda OO00O0O000O0000O0 :format_currency (OO00O0O000O0000O0 ,currency ="GBP",locale ="en_GB"))#line:163
    O00OO00000OOO000O .iloc [:,5 ]=O00OO00000OOO000O .iloc [:,5 ].apply (lambda O0O0O0O0O00OOOOOO :format_currency (O0O0O0O0O00OOOOOO ,currency ="GBP",locale ="en_GB"))#line:164
    O00OO00000OOO000O .iloc [:,2 ]=O00OO00000OOO000O .iloc [:,2 ].astype (str ).str .replace ("'","")#line:168
    O00OO00000OOO000O .iloc [:,24 ]=O00OO00000OOO000O .iloc [:,24 ].astype (str ).str .replace ("'","")#line:172
    #print ("SKU")#line:174
    #print (O00OO00000OOO000O .iloc [:,2 ])#line:175
    #print (list (O00OO00000OOO000O .columns .values ))#line:194
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [6 ]:'Colour Code (Simple Colour)'},inplace =True )#line:199
    for O0OO00OOO0O00O00O ,OOO0OOO00OO0O00OO in O00OO00000OOO000O .iterrows ():#line:202
        if O0OO00OOO0O00O00O ==0 :#line:203
            print (OOO0OOO00OO0O00OO ['Colour Code (Simple Colour)'])#line:204
        if " mens"in str (OOO0OOO00OO0O00OO ['Colour Code (Simple Colour)']):#line:205
            if " womens"in str (OOO0OOO00OO0O00OO ['Colour Code (Simple Colour)']):#line:206
                O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,12 ]="Unisex"#line:207
            else :#line:208
                O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,12 ]="Mens"#line:209
        if " womens"in str (OOO0OOO00OO0O00OO ['Colour Code (Simple Colour)']):#line:211
            if " mens"in str (OOO0OOO00OO0O00OO ['Colour Code (Simple Colour)']):#line:212
                O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,12 ]="Unisex"#line:213
            else :#line:214
                O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,12 ]="Womens"#line:215
        if " ladys"in str (OOO0OOO00OO0O00OO ['Colour Code (Simple Colour)']):#line:216
                O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,12 ]="Ladys"#line:217
        if O0OO00OOO0O00O00O ==0 :#line:218
            print (OOO0OOO00OO0O00OO [12 ])#line:219
    #print (O00OO00000OOO000O .iloc [:,12 ])#line:220
    O00OO00000OOO000O .iloc [:,6 ]=""#line:224
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [0 ]:'Style Number'},inplace =True )#line:226
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [1 ]:'Product Name'},inplace =True )#line:227
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [2 ]:'Vendor SKU'},inplace =True )#line:228
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [3 ]:'UPC/EAN'},inplace =True )#line:229
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [4 ]:'Unit Cost'},inplace =True )#line:230
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [5 ]:'Unit MSRP'},inplace =True )#line:231
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [6 ]:'Colour Code (Simple Colour)'},inplace =True )#line:232
    #print (O00OO00000OOO000O .columns [6 ])#line:233
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [7 ]:'Colour'},inplace =True )#line:234
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [8 ]:'Size 1'},inplace =True )#line:236
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [9 ]:'Size 2'},inplace =True )#line:237
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [10 ]:'Brand'},inplace =True )#line:238
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [11 ]:'Year of Season'},inplace =True )#line:239
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [12 ]:'Gender'},inplace =True )#line:240
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [13 ]:'Manufacturer Part Code'},inplace =True )#line:241
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [14 ]:'Other Bar Code'},inplace =True )#line:242
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [15 ]:'VAT'},inplace =True )#line:243
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [16 ]:'Pack Qty'},inplace =True )#line:244
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [17 ]:'Stock Count'},inplace =True )#line:246
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [18 ]:'Price Band 1'},inplace =True )#line:247
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [19 ]:'Price Band 2'},inplace =True )#line:248
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [20 ]:'IE VAT'},inplace =True )#line:249
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [21 ]:'Unit Cost in Euros'},inplace =True )#line:250
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [22 ]:'MSRP in Euros'},inplace =True )#line:251
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [23 ]:'Commodity Codes'},inplace =True )#line:253
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [24 ]:'Country of Origin'},inplace =True )#line:254
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [30 ]:'Weight'},inplace =True )#line:256
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [31 ]:'Short Description'},inplace =True )#line:257
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [32 ]:'Long Description'},inplace =True )#line:258
    O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [33 ]:'Video Link'},inplace =True )#line:259
    O00OO00000OOO000O .iloc [:,9 ]=""#line:267
    O00OO00000OOO000O .iloc [:,13 ]=""#line:269
    O00OO00000OOO000O .iloc [:,14 ]=""#line:271
    O00OO00000OOO000O .iloc [:,16 ]=""#line:273
    O00OO00000OOO000O .iloc [:,18 ]=""#line:275
    O00OO00000OOO000O .iloc [:,19 ]=""#line:277
    O00OO00000OOO000O .iloc [:,20 ]=""#line:279
    O00OO00000OOO000O .iloc [:,21 ]=""#line:281
    O00OO00000OOO000O .iloc [:,22 ]=""#line:283
    O00OO00000OOO000O .iloc [:,33 ]=""#line:288
    O00OO00000OOO000O .iloc [:,15 ]="20"#line:293
    #print (list (O00OO00000OOO000O .columns .values ))#line:295
    O00OO00000OOO000O .iloc [:,3 ]=O00OO00000OOO000O .iloc [:,2 ]#line:298
    O00OO00000OOO000O .columns .values [10 ]='Brand'#line:299
    O00OO00000OOO000O .iloc [:,11 ]=""#line:300
    O00OO00000OOO000O .iloc [:,22 ]=""#line:301
    #print ("SKU")#line:305
    #print (O00OO00000OOO000O .iloc [:,2 ])#line:306
    O00OO00000OOO000O .iloc [:,23 ]=""#line:311
    O00OO00000OOO000O .iloc [:,24 ]=""#line:314
    O0O0O0O000OOO0OO0 =OO0O000O0O0OO0OO0 ['Variant SKU']#line:323
    OO000O0O0O0O00OOO =OO0O000O0O0OO0OO0 ['Variant SKU'].duplicated ().any ()#line:324
    OO000O0O0O0O00OOO =OOOO0OOO0O00O0OO0 ['SKU'].duplicated ().any ()#line:326
    O000OOO0000OO000O =OOOO0OOO0O00O0OO0 [OOOO0OOO0O00O0OO0 .duplicated (['SKU'],keep =False )]#line:328
    OOOOO0OOO0OO000OO =OO0O000O0O0OO0OO0 [OO0O000O0O0OO0OO0 .duplicated (['Variant SKU'],keep =False )]#line:331
    OOOO0OOO0O00O0OO0 =OOOO0OOO0O00O0OO0 .set_index ('SKU')#line:335
    OOOO0OOO0O00O0OO0 .reindex (O0O0O0O000OOO0OO0 )#line:340
    #print ("TERMINE")#line:357
    O00OO00000OOO000O .iloc [:,24 ]=OOOO0OOO0O00O0OO0 .loc [:,'COO']#line:359
    O00OO00000OOO000O .iloc [:,23 ]=OOOO0OOO0O00O0OO0 .loc [:,'HS Code']#line:360
    O00OO00000OOO000O ['Commodity Codes']=OOOO0OOO0O00O0OO0 ['HS Code'].values #line:362
    O00OO00000OOO000O ['Country of Origin']=OOOO0OOO0O00O0OO0 ['COO'].values #line:363
    #print ("SKU")#line:370
    #print (O00OO00000OOO000O .iloc [:,2 ])#line:371
    OO0O0000O00OO0O0O =[]#line:376
    for OO0OOO0OOOO0000O0 in range (49 ,58 ):#line:377
        OO0O0000O00OO0O0O .append (str (OO0OOO0OOOO0000O0 ))#line:379
        O00OO00000OOO000O [str (OO0OOO0OOOO0000O0 )]=''#line:380
    O0OOO00OO0O0O00O0 =[]#line:384
    for OO0OOO0OOOO0000O0 in range (0 ,24 ):#line:385
        O0OOO00OO0O0O00O0 .append (34 +OO0OOO0OOOO0000O0 )#line:386
    OO0OOO00O00OOOO00 =O00OO00000OOO000O .columns [O0OOO00OO0O0O00O0 ]#line:392
    O0OOO0O00OO0O00O0 =['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:393
    OO0OOO00O00OOOO00 =O00OO00000OOO000O .columns [O0OOO00OO0O0O00O0 ]#line:394
    O00OO00000OOO000O .rename (columns =dict (zip (OO0OOO00O00OOOO00 ,O0OOO0O00OO0O00O0 )),inplace =True )#line:395
    O00OO00000OOO000O .iloc [:,34 :58 ]=''#line:398
    #print ("SKUf")#line:401
    #print (O00OO00000OOO000O .iloc [:,2 ])#line:402
    O00000O000O0OO0O0 =O00OO00000OOO000O .loc [pd .isna (O00OO00000OOO000O .loc [:,'Product Name']),:].index #line:422
    O00OO0OO0O0OO000O =O00OO00000OOO000O .loc [O00000O000O0OO0O0 ,'Image Src']#line:423
    OO000OOOO000000OO =[]#line:424
    for OOO0OOO00OO0O00OO in O00OO00000OOO000O .index :#line:425
        if pd .notna (O00OO00000OOO000O .loc [OOO0OOO00OO0O00OO ,'Product Name']):#line:427
            OOO00O00000O0O0O0 =OOO0OOO00OO0O00OO #line:429
            OO0OOO0OOOO0000O0 =1 #line:430
            OO0OO0O0OOOO0O0O0 =[]#line:432
            OO0OO0O0OOOO0O0O0 .append (O00OO00000OOO000O .loc [OOO0OOO00OO0O00OO ,'Image Src'])#line:434
            while pd .isna (O00OO00000OOO000O .loc [OOO0OOO00OO0O00OO +OO0OOO0OOOO0000O0 ,'Product Name'])and OOO0OOO00OO0O00OO +OO0OOO0OOOO0000O0 <len (O00OO00000OOO000O .index )-1 :#line:435
                if "http"in str (O00OO00000OOO000O .loc [OOO0OOO00OO0O00OO +OO0OOO0OOOO0000O0 ,'Image Src']):#line:437
                    OO0OO0O0OOOO0O0O0 .append (O00OO00000OOO000O .loc [OOO0OOO00OO0O00OO +OO0OOO0OOOO0000O0 ,'Image Src'])#line:438
                OO0OOO0OOOO0000O0 =OO0OOO0OOOO0000O0 +1 #line:439
            OO000OOOO000000OO .append (OO0OO0O0OOOO0O0O0 )#line:440
    OOO0O0O0OOOO0OOOO =O00OO00000OOO000O .loc [pd .notna (O00OO00000OOO000O .loc [:,'Product Name']),:].index #line:443
    OO0O000OOO0O0O0O0 =0 #line:444
    for OO0OOO0OOOO0000O0 in range (len (OO000OOOO000000OO )):#line:445
        if OO0O000OOO0O0O0O0 <len (OO000OOOO000000OO [OO0OOO0OOOO0000O0 ]):#line:446
            OO0O000OOO0O0O0O0 =len (OO000OOOO000000OO [OO0OOO0OOOO0000O0 ])#line:447
    #print ("SKUf")#line:448
    #print (O00OO00000OOO000O .iloc [:,2 ])#line:449
    for O0O00000OOOO00000 in range (OO0O000OOO0O0O0O0 ):#line:453
            O00OO00000OOO000O .iloc [:,25 +O0O00000OOOO00000 ]=''#line:454
    O0000OO0000OOO0OO =0 #line:456
    for O0OO00OOO0O00O00O in OOO0O0O0OOOO0OOOO :#line:457
        for O0O00000OOOO00000 in range (len (OO000OOOO000000OO [O0000OO0000OOO0OO ])):#line:458
            if OO000OOOO000000OO [O0000OO0000OOO0OO ][O0O00000OOOO00000 ]!='nan':#line:461
                O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,25 +O0O00000OOOO00000 ]=OO000OOOO000000OO [O0000OO0000OOO0OO ][O0O00000OOOO00000 ]#line:462
                O00OO00000OOO000O .rename (columns ={O00OO00000OOO000O .columns [25 +O0O00000OOOO00000 ]:'Image'+str (O0O00000OOOO00000 +1 )},inplace =True )#line:463
        O0000OO0000OOO0OO =O0000OO0000OOO0OO +1 #line:465
    #print ("SKUf")#line:466
    #print (O00OO00000OOO000O .iloc [:,2 ])#line:467
    O0O0O00O0OOO00OO0 =[None ]*OO0O000OOO0O0O0O0 #line:469
    OOO0O000OO0OOO0OO =[None ]*OO0O000OOO0O0O0O0 #line:470
    OOOOO0OOOO00OOOO0 =[None ]*OO0O000OOO0O0O0O0 #line:471
    O00O0000OO0OOOO0O =[None ]*OO0O000OOO0O0O0O0 #line:472
    OOOOOOO00000O00OO =[None ]*OO0O000OOO0O0O0O0 #line:473
    O0O00OOO0O0OOO0O0 =[None ]*OO0O000OOO0O0O0O0 #line:474
    for O0OO00OOO0O00O00O ,OOO0OOO00OO0O00OO in O00OO00000OOO000O .iterrows ():#line:475
        if pd .notna (O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,1 ]):#line:478
            for O0O00000OOOO00000 in range (0 ,OO0O000OOO0O0O0O0 ):#line:479
                O0O0O00O0OOO00OO0 [O0O00000OOOO00000 ]=str ((O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,25 +O0O00000OOOO00000 ]))#line:480
                OOO0O000OO0OOO0OO [O0O00000OOOO00000 ]=str ((O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,1 ]))#line:486
                OOOOO0OOOO00OOOO0 [O0O00000OOOO00000 ]=str ((O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,10 ]))#line:487
                O00O0000OO0OOOO0O [O0O00000OOOO00000 ]=str ((O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,12 ]))#line:488
                OOOOOOO00000O00OO [O0O00000OOOO00000 ]=str ((O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,31 ]))#line:489
                O0O00OOO0O0OOO0O0 [O0O00000OOOO00000 ]=str ((O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,32 ]))#line:490
        else :#line:492
            for O0O00000OOOO00000 in range (0 ,OO0O000OOO0O0O0O0 ):#line:493
                O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,25 +O0O00000OOOO00000 ]=O0O0O00O0OOO00OO0 [O0O00000OOOO00000 ]#line:494
                O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,1 ]=OOO0O000OO0OOO0OO [O0O00000OOOO00000 ]#line:500
                O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,10 ]=OOOOO0OOOO00OOOO0 [O0O00000OOOO00000 ]#line:501
                O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,12 ]=O00O0000OO0OOOO0O [O0O00000OOOO00000 ]#line:502
                O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,31 ]=OOOOOOO00000O00OO [O0O00000OOOO00000 ]#line:503
                O00OO00000OOO000O .iloc [O0OO00OOO0O00O00O ,32 ]=O0O00OOO0O0OOO0O0 [O0O00000OOOO00000 ]#line:504
    #print ("SKUf")#line:508
    #print (O00OO00000OOO000O .iloc [:,2 ])#line:509
    return O00OO00000OOO000O #line:518
def convert_df (OOO00OO0OO0OOOOO0 ):#line:521
   return OOO00OO0OO0OOOOO0 .to_csv (index =False ).encode ('utf_8_sig')#line:522
if uploaded_file and uploaded_file2 :#line:524
    df3 =ConvertCitrus (df ,df2 )#line:525
    csv =convert_df (df3 )#line:529
    st .download_button ("Press to Download",csv ,"file.csv","text/csv",key ='download-csv')#line:537