diff --git a/src/pages/1-samples_selection.py b/src/pages/1-samples_selection.py index bc12af6b3899441c806e9c5a723a407f259bb7c5..9e4ff7e6802f45a1808bc10c3830203c70118b60 100644 --- a/src/pages/1-samples_selection.py +++ b/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)