Basic first implementation. Perform a type analysis and metadata analysis only on the pdf files.

main.py

+# -*- coding: UTF-8 -*-
+import os
+import magic
+from fnmatch import fnmatch
+from pyPdf import PdfFileReader
+
+root = '/home/mattia/Nextcloud/Università/Libreria/'
+pattern = "*"
+
+type_stat = {}
+total_files = 0.0
+metadata = {}
+
+for path, subdirs, files in os.walk(root):
+    for name in files:
+        if fnmatch(name, pattern):
+            #print os.path.join(path, name)
+            total_files += 1
+            #file type analysis
+            ftype = magic.from_file( os.path.join(path, name), mime=True)
+            #print "File type: ", ftype
+            if ftype in type_stat:
+                type_stat[ftype] += 1
+            else:
+                type_stat[ftype] = 1.0
+
+            #file metadata analysis
+            if ftype == 'application/pdf':
+                f = open( os.path.join(path, name), "rb" )
+                pdf_toread = PdfFileReader( f )
+                if pdf_toread.isEncrypted:
+                    pdf_toread.decrypt('')
+                pdf_info = pdf_toread.getDocumentInfo()
+                for mdt in pdf_info.keys():
+                    if mdt in metadata:
+                        metadata[mdt] += 1
+                    else:
+                        metadata[mdt] = 1.0
+                f.close()
+
+print "*****FILE TYPE ANALYSIS*****"
+for types in type_stat.keys():
+    print "* ", int( type_stat[types] ), "/", int( total_files ), "(", round(type_stat[types] / total_files * 100, 1), "%) are ", types
+print
+print "*****FILE METADATA ANALYSIS*****"
+for mdt in metadata.keys():
+    if mdt == '/Author' or mdt == '/Title':
+        print "\x1b[31m",
+    print "* ", int( metadata[mdt] ) , "/", int( type_stat['application/pdf'] ), "(", round(metadata[mdt]/type_stat['application/pdf'] * 100, 1), "%) are tagged with", mdt,s
+    print "\x1b[0m"