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src/pages/1-samples_selection.py

@@ -589,19 +589,7 @@ if labels:
             sam = sam1
         sel.write(sam)
 
-Nb_ech = str(n_samples)
-nb_clu = str(sam1.shape[0])
-for i in ['Representative subset selection', data_file.name, dim_red_method,
-                                  clus_method, Nb_ech, ncluster, selection, selection_number, nb_clu]:
-    st.write(i)
-
-# st.write(hash_data(change = './Report/report.tex'))
-# file_pathtex = Path('./Report/report.tex') 
-# if file_pathtex.is_file():
-#     with open('./Report/report.tex') as myfile:
-#         filehash = hash_data(myfile.read())
-
-# figs_list = os.listdir("./Report/figures")
+
 if not (sam.empty and sam1.empty):
     Nb_ech = str(n_samples)
     nb_clu = str(sam1.shape[0])
@@ -620,21 +608,12 @@ if not (sam.empty and sam1.empty):
         file_path = Path("./temp/"+zipname)
         sam.to_csv("./"+zipname,sep = ';',
           encoding='utf-8', mode='a',
-          compression=dict(method='zip',archive_name=f"selected subset for reference analysis_{userfilename}_{date_time}_.csv")) 
+          compression=dict(method='zip',archive_name=f"selected subset for reference analysis_{userfilename}{date_time}.csv")) 
         
         with zipfile.ZipFile("./"+zipname, 'a') as newzip:
                 newzip.write("./Report/report.pdf", arcname="report.pdf")
                 newzip.write("./Report/datasets/"+os.listdir("./Report/datasets")[0], arcname=os.listdir("./Report/datasets")[0])
                 
-
-        # #### add data to zip
-        # match data_file.name:
-        #     case 'csv':
-        #         with open(data_file.name, 'wb') as cs:
-        #             st.write(data_file.getbuffer())
-        #     case 'dx':
-        #         st.write(4)
-                
         ### move the .zip file to the temp directory
         shutil.move('./'+zipname,'./temp/'+ zipname)