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Location: kallithea/rhodecode/lib/indexers/__init__.py

Bradley M. Kuhn
Update minified YUI to version 2.9 built from Source.

yui.2.9.js used to be a minified version of YUI 2.9 until 5143b8df576c updated
it to something else and applied more aggresive minification. We stick to a
clean but minified version 2.9.

The license of YUI is BSD 3-clause, as described on
http://yuilibrary.com/license/ .

Since the minified version combines with GPLv3'd Javascript, it is only GPLv3'd
compliant to distribute this Object Code version with the Corresponding Source
(or offer therefor).

This yui.2.9.js is built from Source this way:
git clone https://github.com/yui/builder
git clone https://github.com/yui/yui2
cd yui2/
git checkout hudson-yui2-2800
ln -sf JumpToPageDropDown.js src/paginator/js/JumpToPageDropdown.js # work around inconsistent casing
rm -f tmp.js
for m in yahoo event dom connection animation dragdrop element datasource autocomplete container event-delegate json datatable paginator; do
rm -f build/$m/$m.js; ( cd src/$m && ant build deploybuild ) && sed -e 's,@VERSION@,2.9.0,g' -e 's,@BUILD@,2800,g' build/$m/$m.js >> tmp.js
done
java -jar ../builder/componentbuild/lib/yuicompressor/yuicompressor-2.4.4.jar tmp.js -o yui.2.9.js

The source is mirrored and available on https://kallithea-scm.org/repos/mirror .
# -*- coding: utf-8 -*-
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
"""
rhodecode.lib.indexers.__init__
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Whoosh indexing module for RhodeCode

:created_on: Aug 17, 2010
:author: marcink
:copyright: (c) 2013 RhodeCode GmbH.
:license: GPLv3, see LICENSE for more details.
"""

import os
import sys
import logging
from os.path import dirname as dn, join as jn

#to get the rhodecode import
sys.path.append(dn(dn(dn(os.path.realpath(__file__)))))

from whoosh.analysis import RegexTokenizer, LowercaseFilter, StopFilter
from whoosh.fields import TEXT, ID, STORED, NUMERIC, BOOLEAN, Schema, FieldType, DATETIME
from whoosh.formats import Characters
from whoosh.highlight import highlight as whoosh_highlight, HtmlFormatter, ContextFragmenter
from rhodecode.lib.utils2 import LazyProperty

log = logging.getLogger(__name__)

# CUSTOM ANALYZER wordsplit + lowercase filter
ANALYZER = RegexTokenizer(expression=r"\w+") | LowercaseFilter()

#INDEX SCHEMA DEFINITION
SCHEMA = Schema(
    fileid=ID(unique=True),
    owner=TEXT(),
    repository=TEXT(stored=True),
    path=TEXT(stored=True),
    content=FieldType(format=Characters(), analyzer=ANALYZER,
                      scorable=True, stored=True),
    modtime=STORED(),
    extension=TEXT(stored=True)
)

IDX_NAME = 'HG_INDEX'
FORMATTER = HtmlFormatter('span', between='\n<span class="break">...</span>\n')
FRAGMENTER = ContextFragmenter(200)

CHGSETS_SCHEMA = Schema(
    raw_id=ID(unique=True, stored=True),
    date=NUMERIC(stored=True),
    last=BOOLEAN(),
    owner=TEXT(),
    repository=ID(unique=True, stored=True),
    author=TEXT(stored=True),
    message=FieldType(format=Characters(), analyzer=ANALYZER,
                      scorable=True, stored=True),
    parents=TEXT(),
    added=TEXT(),
    removed=TEXT(),
    changed=TEXT(),
)

CHGSET_IDX_NAME = 'CHGSET_INDEX'

# used only to generate queries in journal
JOURNAL_SCHEMA = Schema(
    username=TEXT(),
    date=DATETIME(),
    action=TEXT(),
    repository=TEXT(),
    ip=TEXT(),
)


class WhooshResultWrapper(object):
    def __init__(self, search_type, searcher, matcher, highlight_items,
                 repo_location):
        self.search_type = search_type
        self.searcher = searcher
        self.matcher = matcher
        self.highlight_items = highlight_items
        self.fragment_size = 200
        self.repo_location = repo_location

    @LazyProperty
    def doc_ids(self):
        docs_id = []
        while self.matcher.is_active():
            docnum = self.matcher.id()
            chunks = [offsets for offsets in self.get_chunks()]
            docs_id.append([docnum, chunks])
            self.matcher.next()
        return docs_id

    def __str__(self):
        return '<%s at %s>' % (self.__class__.__name__, len(self.doc_ids))

    def __repr__(self):
        return self.__str__()

    def __len__(self):
        return len(self.doc_ids)

    def __iter__(self):
        """
        Allows Iteration over results,and lazy generate content

        *Requires* implementation of ``__getitem__`` method.
        """
        for docid in self.doc_ids:
            yield self.get_full_content(docid)

    def __getitem__(self, key):
        """
        Slicing of resultWrapper
        """
        i, j = key.start, key.stop

        slices = []
        for docid in self.doc_ids[i:j]:
            slices.append(self.get_full_content(docid))
        return slices

    def get_full_content(self, docid):
        res = self.searcher.stored_fields(docid[0])
        log.debug('result: %s' % res)
        if self.search_type == 'content':
            full_repo_path = jn(self.repo_location, res['repository'])
            f_path = res['path'].split(full_repo_path)[-1]
            f_path = f_path.lstrip(os.sep)
            content_short = self.get_short_content(res, docid[1])
            res.update({'content_short': content_short,
                        'content_short_hl': self.highlight(content_short),
                        'f_path': f_path
            })
        elif self.search_type == 'path':
            full_repo_path = jn(self.repo_location, res['repository'])
            f_path = res['path'].split(full_repo_path)[-1]
            f_path = f_path.lstrip(os.sep)
            res.update({'f_path': f_path})
        elif self.search_type == 'message':
            res.update({'message_hl': self.highlight(res['message'])})

        log.debug('result: %s' % res)

        return res

    def get_short_content(self, res, chunks):

        return ''.join([res['content'][chunk[0]:chunk[1]] for chunk in chunks])

    def get_chunks(self):
        """
        Smart function that implements chunking the content
        but not overlap chunks so it doesn't highlight the same
        close occurrences twice.
        """
        memory = [(0, 0)]
        if self.matcher.supports('positions'):
            for span in self.matcher.spans():
                start = span.startchar or 0
                end = span.endchar or 0
                start_offseted = max(0, start - self.fragment_size)
                end_offseted = end + self.fragment_size

                if start_offseted < memory[-1][1]:
                    start_offseted = memory[-1][1]
                memory.append((start_offseted, end_offseted,))
                yield (start_offseted, end_offseted,)

    def highlight(self, content, top=5):
        if self.search_type not in ['content', 'message']:
            return ''
        hl = whoosh_highlight(
            text=content,
            terms=self.highlight_items,
            analyzer=ANALYZER,
            fragmenter=FRAGMENTER,
            formatter=FORMATTER,
            top=top
        )
        return hl