#!/usr/bin/python2.6 # coding: utf-8 from __future__ import with_statement import os import time try: import json except ImportError: import simplejson as json from StringIO import StringIO from whoosh.index import open_dir from whoosh.qparser import QueryParser import whoosh.searching as searching import whoosh.analysis as analysis import whoosh.highlight as highlight import whoosh.query as query import flask import pyPdf import werkzeug import subprocess from compat import str_format app = flask.Flask("booksearch") app.debug = True 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/") 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, size): if not type(size) == int or size < 1 or size > 2000: size = 260 density = 60 + 0.15 * size app.logger.debug( str_format("Convert PDF to image page={page} size={size} density={density} filepath={filepath}", page=page, size=size, density=density, filepath=filepath )) 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", "-density", str(density), "-resize", str(size), "pdf:-", "jpeg:-"], stdin=subprocess.PIPE, stdout=subprocess.PIPE) return werkzeug.Response(generator(process,pdffile), mimetype="image/jpeg") @app.route("/page/image/", methods=["GET"]) @app.route("/page/image//", methods=["GET"]) def do_page_image(docnum,size=260): with index_book.reader() as reader: document = reader.stored_fields(docnum) page = document["pagenumber"] - 1 return pdf_to_image(document["path"], page, size=size) @app.route("/book/frontpage/", 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, 260) @app.route("/page/file/", methods=["GET"]) def do_page_file(docnum): with index_book.reader() as reader: document = reader.stored_fields(docnum) filepath = document["path"] page = document["pagenumber"] - 1 app.logger.debug(str_format("Extract page={page} from filepath={filepath}", page=page, filepath=filepath)) 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 += str_format(u".Page-{page}.pdf", page=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//", methods=["GET"]) def do_excerpt(docnum, term): term = term.lower() with index_book.reader() as reader: document = reader.stored_fields(docnum) q = QueryParser("content").parse(term) q = q.simplify(reader) terms = [ text for fieldname, text in q.all_terms() if fieldname == "content" ] excerpt = highlight.highlight(document["content"], terms, analysis.StandardAnalyzer(), highlight.ContextFragmenter(terms, surround=40), MyHtmlFormatter()) return unicode( excerpt ) @app.route("/search/",methods=["GET"]) @app.route("/search/", methods=["GET"]) def do_search(term=None): if not term: return flask.render_template("search.html", objects=[], term="") time_start = time.time() term = term.lower() searcher = index_book.searcher() query = QueryParser("content").parse(term) facets = searching.Facets.from_field(searcher, "path") results = searcher.search(query, limit=None, sortedby="pagenumber") categories = facets.categorize(results) searcher.close() books = {} 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) with index_metadata.reader() as metadata_reader: title = metadata_reader.stored_fields(docnum).get("title") books[docnum] = { "matches" : [], "title":title, "filename" : os.path.basename(filepath), } for match in book[1]: pagenumber = reader.stored_fields(match[0])["pagenumber"] match = (match[0], match[1], pagenumber) books[docnum]["matches"].append(match) return flask.render_template("search.html", books=books, term=term, time_taken=time.time()-time_start) def log_response(sender, response): sender.logger.debug("Request context is about to close down. " "Response: %s", response) if __name__ == "__main__": app.run(host="0.0.0.0", port=8000)