#!pip install PyMuPDF import pandas as pd import numpy as np import fitz import os from datetime import datetime def collate_pdfs(pdf_dir,project=None,samples=None,save_dir=None,addlabel=True): ''' cobbles together a proper order to merge all the generated pdfs after the fact #example combining outputs from batch run (keeps samples separate) for proj in projects: for sample in samples[proj]: pdf_dir = os.path.join(batch_dir[proj],sample+'_run') #print(pdf_dir) collate_pdfs(pdf_dir,project='HSPB5_'+sample+'_'+proj,save_dir=batch_dir[proj]) ''' now = datetime.now() date = now.strftime("%d%b%Y") def categorize(df,types,search_col,new_col): for i,type in enumerate(types): df[type] = np.where(df[search_col].str.contains(type),str(i)+type,'') df[new_col]='' # for type in types: # df[new_col] += pdf_info[type] df[new_col] = df.apply(lambda x: max(x[types],key=len),axis=1) df = df.drop(types,axis=1) return df def add_header(mfile,header_text): for page in mfile: prect = page.rect header_rect = fitz.Rect(0, 10, prect.width-10,30) # height 20 points page.insert_textbox(header_rect, header_text, fontname="hebo", color= fitz.pdfcolor["blue"], align=fitz.TEXT_ALIGN_RIGHT) return mfile output_types = ['IndFits','BootFits','ndeut'] pdfs = [ f for f in os.listdir(pdf_dir) if f[-4:]=='.pdf' ] pdfs = [ p for p in pdfs if p[0:5]=='hxex_'] pdf_info = pd.DataFrame({'file':pdfs}) pdf_info = categorize(pdf_info,output_types,'file','type') if samples is not None: samples = samples if isinstance(samples,list) else [samples] pdf_info = categorize(pdf_info,samples,'file','sample') else: pdf_info['sample'] = '' if project is not None: proj_str = project+'_' else: proj_str = '' if save_dir is None: save_dir = pdf_dir pdf_info[['start_res','end_res']] = '' pdf_info['start_res'] = pdf_info['file'].str[:-4].str.split('-',n=1,).str[0].str[-4:].astype('Int64') pdf_info['end_res'] = pdf_info['file'].str[:-4].str.split('-',n=1,).str[1].str[0:4].astype('Int64') pdf_info['charge'] = pdf_info['file'].str[:-4].str.split('_').str[-3].str[1:].astype('Int64') #pdf_info['data_id'].str[:-4].str.split('_').str[1].astype('Int64') pdf_info = pdf_info.sort_values(['start_res','end_res','sample','charge','type']).reset_index(drop=True) pdf_info['type'] = pdf_info['type'].str[1:] pdf_info['sample'] = pdf_info['sample'].str[1:] #display(pdf_info) sorted_pdfs = pdf_info['file'].values sorted_pdfs = [s for s in sorted_pdfs if '_all_' not in s] sorted_pdfs_Ind = [s for s in sorted_pdfs if 'Ind' in s] sorted_pdfs_BootFits = [s for s in sorted_pdfs if 'BootFits' in s] sorted_pdfs_ndeut = [s for s in sorted_pdfs if 'ndeut' in s] #sorted_pdfs result = fitz.open() for pdf in sorted_pdfs: with fitz.open(os.path.join(pdf_dir,pdf)) as mfile: if addlabel: data_id = pdf.split('_')[1] header_text = "data_id: "+data_id mfile = add_header(mfile,header_text) result.insert_pdf(mfile) result.save(os.path.join(save_dir,'hxex_all_plots_'+proj_str+date+'.pdf')) result = fitz.open() for pdf in sorted_pdfs_Ind: with fitz.open(os.path.join(pdf_dir,pdf)) as mfile: if addlabel: data_id = pdf.split('_')[1] header_text = "data_id: "+data_id mfile = add_header(mfile,header_text) result.insert_pdf(mfile) result.save(os.path.join(save_dir,'hxex_all_IndFits_'+proj_str+date+'.pdf')) result = fitz.open() for pdf in sorted_pdfs_BootFits: with fitz.open(os.path.join(pdf_dir,pdf)) as mfile: if addlabel: data_id = pdf.split('_')[1] header_text = "data_id: "+data_id mfile = add_header(mfile,header_text) result.insert_pdf(mfile) result.save(os.path.join(save_dir,'hxex_all_BootFits_'+proj_str+date+'.pdf')) result = fitz.open() for pdf in sorted_pdfs_ndeut: with fitz.open(os.path.join(pdf_dir,pdf)) as mfile: if addlabel: data_id = pdf.split('_')[1] header_text = "data_id: "+data_id mfile = add_header(mfile,header_text) result.insert_pdf(mfile) result.save(os.path.join(save_dir,'hxex_all_ndeutBoot_'+proj_str+date+'.pdf')) return