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#!/usr/bin/python2.6
# coding: utf-8
import os
import sys
import time
import whoosh.index as index
import whoosh.writing as writing
import whoosh.fields as fields
from compat import str_format
import StringIO
def pdf_extract_metadata(filepath):
from pdfminer.pdfparser import PDFParser, PDFDocument
from pdfminer.pdfinterp import PDFPageInterpreter, PDFResourceManager
from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams
import lxml
import lxml.etree
outbuf = StringIO.StringIO()
rsrcmgr = PDFResourceManager()
device = TextConverter(rsrcmgr, outbuf, "utf-8", laparams=LAParams())
parser = PDFParser(file(filepath, "rb"))
doc = PDFDocument()
parser.set_document(doc)
doc.set_parser(parser)
doc.initialize("")
namespaces={
"x":"adobe:ns:meta/",
"dc":"http://purl.org/dc/elements/1.1/",
"rdf":"http://www.w3.org/1999/02/22-rdf-syntax-ns#",
"pdf":"http://ns.adobe.com/pdf/1.3/",
"xap":"http://ns.adobe.com/xap/1.0/",
"xmpMM":"http://ns.adobe.com/xap/1.0/mm/"}
metadata = {}
def add_metadata(tree, name, xpath_expr):
d=tree.xpath(xpath_expr, namespaces=namespaces)
if d:
metadata[name] = "".join(d).strip()
if doc.catalog.has_key("Metadata"):
obj_ref = doc.catalog["Metadata"]
obj_stream = obj_ref.resolve()
if obj_stream.attrs['Subtype'].name == "XML":
try:
obj_data = obj_stream.get_data()[:-2] # XXX remove trailing chars
print obj_data.strip()
tree = lxml.etree.parse(StringIO.StringIO(obj_data))
add_metadata(tree, "dc:title", "//rdf:Description/dc:title//*/text()")
add_metadata(tree, "dc:creator", "//rdf:Description/dc:creator//*/text()")
add_metadata(tree, "xap:CreateDate", "//rdf:Description/xap:CreateDate/text()")
add_metadata(tree, "xap:CreaterTool", "//rdf:Description/xap:CreatorTool/text()")
add_metadata(tree, "xap:ModifyDate", "//rdf:Description/xap:ModifyDate/text()")
add_metadata(tree, "xap:CreateDate", "//rdf:Description/xap:CreateDate/text()")
add_metadata(tree, "xap:MetadataDate", "//rdf:Description/xap:MetadataDate/text()")
add_metadata(tree, "pdf:Producer", "//rdf:Description/pdf:Producer/text()")
add_metadata(tree, "xmpMM:DocumentID", "//rdf:Description/xmpMM:DocumentID/text()")
add_metadata(tree, "xmpMM:InstanceID", "//rdf:Description/xmpMM:InstanceID/text()")
except lxml.etree.XMLSyntaxError,e:
print e
else:
pass
return metadata
def pdf_extract_text_pdfminer(filepath):
from pdfminer.pdfparser import PDFParser, PDFDocument
from pdfminer.pdfinterp import PDFPageInterpreter, PDFResourceManager
from pdfminer.converter import TextConverter
from pdfminer.layout import LAParams
outbuf = StringIO.StringIO()
rsrcmgr = PDFResourceManager()
device = TextConverter(rsrcmgr, outbuf, "utf-8", laparams=LAParams())
parser = PDFParser(file(filepath, "rb"))
doc = PDFDocument()
parser.set_document(doc)
doc.set_parser(parser)
doc.initialize("")
interpreter = PDFPageInterpreter(rsrcmgr, device)
for pagenumber, page in enumerate(doc.get_pages()):
interpreter.process_page(page)
outbuf.seek(0)
content = unicode(outbuf.read(),"utf-8",errors="replace")
yield (pagenumber+1, content) #start pages at 1
outbuf.seek(0)
def pdf_extract_text_pypdf(filepath):
import pyPdf
inputfile = pyPdf.PdfFileReader(file(filepath, "r"))
pagenumber = 1
for page in inputfile.pages:
content = page.extractText()
yield (pagenumber, content)
pagenumber += 1
""" Yields (pagenumber, text) """
def pdf_extract_text(filepath):
try:
return pdf_extract_text_pdfminer(filepath)
except ImportError:
print "Fallback to pypdf"
return pdf_extract_text_pypdf(filepath)
schema_book = fields.Schema(
pagenumber=fields.NUMERIC(stored=True),
path=fields.ID(stored=True),
content=fields.TEXT(stored=True),
)
schema_metadata = fields.Schema(
title = fields.TEXT(stored=True),
path=fields.ID(stored=True,unique=True),
createtime=fields.NUMERIC(stored=True) )
if not os.path.exists(u"index"):
create_index = True
os.mkdir(u"index")
index_book = index.create_in(u"index", schema_book, u"book")
index_metadata = index.create_in(u"index", schema_metadata, u"metadata")
else:
create_index = False
index_book = index.open_dir(u"index", u"book")
index_metadata = index.open_dir(u"index", u"metadata")
filepaths = []
directory = unicode(sys.argv[1], "utf8")
searcher_book = index_book.searcher()
searcher_metadata = index_metadata.searcher()
print str_format(u"Walking {dir}",dir=directory)
filecount = 0
skipped = 0
for path, directories, files in os.walk(directory):
for filename in files:
if filename.endswith(u".pdf"):
filepath = os.path.join(path, filename)
if create_index or not searcher_metadata.document_number(path=filepath):
filepaths.append(filepath)
filecount += 1
else:
#skip files that are already indexed
skipped += 1
print str_format(u"\r{count} files found {skip} skipped", count=filecount+skipped, skip=skipped),
print ""
if not create_index: #update index for deleted files
writer_book = index_book.writer()
writer_metadata = index_metadata.writer()
deleted = 0
processed = 0
for fields in searcher_metadata.all_stored_fields():
path = fields["path"]
processed += 1
if not os.path.exists(path):
writer_book.delete_by_term(u"path", path)
writer_metadata.delete_by_term("path", path)
deleted += 1
print str_format(u"\r{proc} pages processed. {deleted} deleted", proc=processed, deleted=deleted),
print ""
writer_book.commit()
writer_metadata.commit()
searcher_book.close()
searcher_metadata.close()
def process_file(filepath):
try:
print str_format(u"{pid} processing {filepath}", pid=os.getpid(), filepath=filepath)
title = u"notimplemented"
writer_metadata = index_metadata.writer()
writer_metadata.add_document(title=title, path=filepath, createtime=time.time())
writer_metadata.commit()
writer_book = writing.BatchWriter(index_book, limit=1000)
pagenumber = 1
for pagenumber, content in pdf_extract_text(filepath):
print str_format(u"{pid} processing {filepath} Page {page}", pid=os.getpid(), filepath=filepath, page=pagenumber)
writer_book.add_document(pagenumber=pagenumber,
path=filepath,
content=content)
pagenumber += 1
print str_format(u"{pid} commit", pid=os.getpid())
writer_book.commit()
except KeyboardInterrupt:
return "KeyboardInterrupt"
except Exception,e:
print str_format(u"{pid} failed at {filepath}: {err}", pid=os.getpid(), filepath=filepath, err=str(e))
try:
import multiprocessing as mp
pool = mp.Pool()
jobs = []
for filepath in filepaths:
jobs.append( pool.apply_async( process_file, (filepath,) ) )
pool.close()
pool.join()
except KeyboardInterrupt:
pool.terminate()
except ImportError:
print "fallback to singleprocess model"
for filepath in filepaths:
if process_file(filepath) == "KeyboardInterrupt":
break
print u"optimize indexes"
index_metadata.optimize()
index_metadata.close()
index_book.optimize()
index_book.close()
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