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#!/usr/bin/python2.6
# coding: utf-8
import os
import json
from StringIO import StringIO
from whoosh.index import open_dir
from whoosh.qparser import QueryParser
import whoosh.searching as searching
import whoosh.fields as fields
import whoosh.analysis as analysis
import whoosh.highlight as highlight
import whoosh.query as query
import flask
import pyPdf
import werkzeug
import subprocess
app = flask.Flask("booksearch")
index_book = open_dir(u"index", u"book")
index_metadata = open_dir(u"index", u"metadata")
@app.route("/")
def do_index():
return flask.redirect(flask.url_for("do_search",term=""))
@app.route("/book/file/<int:docnum>")
def do_book_file(docnum):
with index_metadata.reader() as reader:
document = reader.stored_fields(docnum)
r = werkzeug.Response(open(document['path'], "r"), mimetype="application/pdf",)
r.headers.add('Content-Disposition', 'attachment',
filename=os.path.basename(document['path']))
return r
def pdf_to_image(filepath, page):
def generator(process, input):
input.seek(0)
while not process.stdin.closed:
stdout, stderr = process.communicate(input.read())
if stdout:
yield stdout
pdffile = StringIO()
page = pyPdf.PdfFileReader(file(filepath, 'r')).getPage(page)
out = pyPdf.PdfFileWriter()
out.addPage(page)
out.write(pdffile)
process = subprocess.Popen(["/usr/bin/convert", "-resize", "260x", "pdf:-", "jpeg:-"],
stdin=subprocess.PIPE, stdout=subprocess.PIPE)
return werkzeug.Response(generator(process,pdffile), mimetype="image/jpeg")
@app.route("/page/image/<int:docnum>", methods=["GET"])
def do_page_image(docnum):
with index_book.reader() as reader:
document = reader.stored_fields(docnum)
return pdf_to_image(document['path'], document['pagenumber'])
@app.route("/book/frontpage/<int:docnum>", methods=["GET"])
def do_book_frontpage(docnum):
with index_metadata.reader() as reader:
document = reader.stored_fields(docnum)
return pdf_to_image(document['path'], 0)
@app.route("/page/file/<int:docnum>", methods=["GET"])
def do_page_file(docnum):
with index_book.reader() as reader:
document = reader.stored_fields(docnum)
filepath = document['path']
page = document['pagenumber']
inputfile = pyPdf.PdfFileReader(file(filepath, 'r'))
pdfpage = inputfile.getPage(page)
outbuf = StringIO()
outfile = pyPdf.PdfFileWriter()
outfile.addPage(pdfpage)
outfile.write(outbuf)
outbuf.seek(0)
r = werkzeug.Response(outbuf, mimetype="application/pdf")
client_filename = os.path.basename(filepath)[:-3]
client_filename += u".Page-{0}".format(page)
r.headers.add('Content-Disposition', 'attachment', filename=client_filename)
return r
class MyHtmlFormatter(highlight.HtmlFormatter):
def _format_fragment(self, text, fragment, seen):
# text = unicode( flask.Markup.escape(text) )
return highlight.HtmlFormatter._format_fragment(self, text, fragment, seen)
@app.route("/excerpt/<int:docnum>/<path:term>", methods=["GET"])
def excerpt(docnum, term):
def generator(q):
for result in searcher.search(q, limit=1, sortedby="pagenumber"):
terms = [ text for fieldname, text in q.all_terms()
if fieldname == "content" ]
excerpt = highlight.highlight(result.get("content"),
terms,
analysis.FancyAnalyzer(),
highlight.SentenceFragmenter(),
MyHtmlFormatter())
yield json.dumps( { 'pagenumber':result.get("pagenumber"),
'excerpt':excerpt,
'docnum':result.docnum} )
with index_book.reader() as reader:
document = reader.stored_fields(docnum)
q = QueryParser("content").parse(term)
terms = [ text for fieldname, text in q.all_terms()
if fieldname == "content" ]
excerpt = highlight.highlight(document['content'],
terms,
analysis.StandardAnalyzer(),
highlight.SimpleFragmenter(),
MyHtmlFormatter())
return unicode( excerpt )
@app.route("/search/skip=<int:skip>/<path:term>",methods=["GET"])
@app.route("/search/<path:term>",methods=["GET"])
@app.route("/search/", methods=["GET"])
def do_search(skip=0,term=None):
if skip == 0 and not term:
return flask.render_template('search.html', objects=[], term="", skip=0)
searcher = index_book.searcher()
query = QueryParser("content").parse(term)
facets = searching.Facets.from_field(searcher, "path")
results = searcher.search(query, limit=None)
categories = facets.categorize(results)
searcher.close()
matches = {}
with index_book.reader() as reader:
for book in categories.items():
filepath = book[0]
with index_metadata.searcher() as searcher:
docnum = searcher.document_number(path=filepath)
matches[docnum] = []
for match in book[1]:
pagenumber = reader.stored_fields(match[0])['pagenumber']
match = (match[0], match[1], pagenumber)
matches[docnum].append(match)
return flask.render_template('search.html', matches=matches, term=term)
def log_response(sender, response):
sender.logger.debug('Request context is about to close down. '
'Response: %s', response)
if __name__ == "__main__":
app.debug = True
app.run(host="0.0.0.0")
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