+# -*- coding: utf-8 -*-
from django.conf import settings
-from lucene import SimpleFSDirectory, IndexWriter
+
import os
+import re
+import errno
+from librarian import dcparser
+from librarian.parser import WLDocument
+from lxml import etree
+import catalogue.models
+from pdcounter.models import Author as PDCounterAuthor, BookStub as PDCounterBook
+from itertools import chain
+import traceback
+import logging
+log = logging.getLogger('search')
+import sunburnt
+import custom
+import operator
+
+
+class SolrIndex(object):
+ def __init__(self, mode=None):
+ self.index = custom.CustomSolrInterface(settings.SOLR, mode=mode)
+
+
+class Snippets(object):
+ """
+ This class manages snippet files for indexed object (book)
+ the snippets are concatenated together, and their positions and
+ lengths are kept in lucene index fields.
+ """
+ SNIPPET_DIR = "snippets"
+
+ def __init__(self, book_id, revision=None):
+ try:
+ os.makedirs(os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR))
+ except OSError as exc:
+ if exc.errno == errno.EEXIST:
+ pass
+ else: raise
+ self.book_id = book_id
+ self.revision = revision
+ self.file = None
+
+ @property
+ def path(self):
+ if self.revision: fn = "%d.%d" % (self.book_id, self.revision)
+ else: fn = "%d" % self.book_id
+
+ return os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR, fn)
+
+ def open(self, mode='r'):
+ """
+ Open the snippet file. Call .close() afterwards.
+ """
+ if not 'b' in mode:
+ mode += 'b'
+
+ if 'w' in mode:
+ if os.path.exists(self.path):
+ self.revision = 1
+ while True:
+ if not os.path.exists(self.path):
+ break
+ self.revision += 1
+
+ self.file = open(self.path, mode)
+ self.position = 0
+ return self
+ def add(self, snippet):
+ """
+ Append a snippet (unicode) to the snippet file.
+ Return a (position, length) tuple
+ """
+ txt = snippet.encode('utf-8')
+ l = len(txt)
+ self.file.write(txt)
+ pos = (self.position, l)
+ self.position += l
+ return pos
-class BookSearch(object):
+ def get(self, pos):
+ """
+ Given a tuple of (position, length) return an unicode
+ of the snippet stored there.
+ """
+ self.file.seek(pos[0], 0)
+ txt = self.file.read(pos[1]).decode('utf-8')
+ return txt
+
+ def close(self):
+ """Close snippet file"""
+ self.file.close()
+
+ def remove(self):
+ self.revision = None
+ try:
+ os.unlink(self.path)
+ self.revision = 0
+ while True:
+ self.revision += 1
+ os.unlink(self.path)
+ except OSError:
+ pass
+
+
+class Index(SolrIndex):
+ """
+ Class indexing books.
+ """
def __init__(self):
- if not os.exists(settings.SEARCH_INDEX):
- os.mkdir(settings.SEARCH_INDEX)
- self.store = IndexWriter(store, )
-
+ super(Index, self).__init__(mode='rw')
+
+ def delete_query(self, *queries):
+ """
+ index.delete(queries=...) doesn't work, so let's reimplement it
+ using deletion of list of uids.
+ """
+ uids = set()
+ for q in queries:
+ if isinstance(q, sunburnt.search.LuceneQuery):
+ q = self.index.query(q)
+ q.field_limiter.update(['uid'])
+ st = 0
+ rows = 100
+ while True:
+ ids = q.paginate(start=st, rows=rows).execute()
+ if not len(ids):
+ break
+ for res in ids:
+ uids.add(res['uid'])
+ st += rows
+ # print "Will delete %s" % ','.join([x for x in uids])
+ if uids:
+ self.index.delete(uids)
+ return True
+ else:
+ return False
+
+ def index_tags(self, *tags, **kw):
+ """
+ Re-index global tag list.
+ Removes all tags from index, then index them again.
+ Indexed fields include: id, name (with and without polish stems), category
+ """
+ remove_only = kw.get('remove_only', False)
+ # first, remove tags from index.
+ if tags:
+ tag_qs = []
+ for tag in tags:
+ q_id = self.index.Q(tag_id=tag.id)
+
+ if isinstance(tag, PDCounterAuthor):
+ q_cat = self.index.Q(tag_category='pd_author')
+ elif isinstance(tag, PDCounterBook):
+ q_cat = self.index.Q(tag_category='pd_book')
+ else:
+ q_cat = self.index.Q(tag_category=tag.category)
+
+ q_id_cat = self.index.Q(q_id & q_cat)
+ tag_qs.append(q_id_cat)
+ self.delete_query(tag_qs)
+ else: # all
+ q = self.index.Q(tag_id__any=True)
+ self.delete_query(q)
+
+ if not remove_only:
+ # then add them [all or just one passed]
+ if not tags:
+ tags = chain(catalogue.models.Tag.objects.exclude(category='set'), \
+ PDCounterAuthor.objects.all(), \
+ PDCounterBook.objects.all())
+
+ for tag in tags:
+ if isinstance(tag, PDCounterAuthor):
+ doc = {
+ "tag_id": int(tag.id),
+ "tag_name": tag.name,
+ "tag_name_pl": tag.name,
+ "tag_category": 'pd_author',
+ "is_pdcounter": True,
+ "uid": "tag%d_pd_a" % tag.id
+ }
+ elif isinstance(tag, PDCounterBook):
+ doc = {
+ "tag_id": int(tag.id),
+ "tag_name": tag.title,
+ "tag_name_pl": tag.title,
+ "tag_category": 'pd_book',
+ "is_pdcounter": True,
+ "uid": "tag%d_pd_b" % tag.id
+ }
+ else:
+ doc = {
+ "tag_id": int(tag.id),
+ "tag_name": tag.name,
+ "tag_name_pl": tag.name,
+ "tag_category": tag.category,
+ "is_pdcounter": False,
+ "uid": "tag%d" % tag.id
+ }
+ self.index.add(doc)
+
+ def create_book_doc(self, book):
+ """
+ Create a lucene document referring book id.
+ """
+ doc = {
+ 'book_id': int(book.id),
+ }
+ if book.parent is not None:
+ doc["parent_id"] = int(book.parent.id)
+ return doc
+
+ def remove_book(self, book_or_id, remove_snippets=True):
+ """Removes a book from search index.
+ book - Book instance."""
+ if isinstance(book_or_id, catalogue.models.Book):
+ book_id = book_or_id.id
+ else:
+ book_id = book_or_id
+
+ self.delete_query(self.index.Q(book_id=book_id))
+
+ if remove_snippets:
+ snippets = Snippets(book_id)
+ snippets.remove()
+
+ def index_book(self, book, book_info=None, overwrite=True):
+ """
+ Indexes the book.
+ Creates a lucene document for extracted metadata
+ and calls self.index_content() to index the contents of the book.
+ """
+ if overwrite:
+ # we don't remove snippets, since they might be still needed by
+ # threads using not reopened index
+ self.remove_book(book, remove_snippets=False)
+
+ book_doc = self.create_book_doc(book)
+ meta_fields = self.extract_metadata(book, book_info, dc_only=['source_name', 'authors', 'title'])
+ # let's not index it - it's only used for extracting publish date
+ if 'source_name' in meta_fields:
+ del meta_fields['source_name']
+
+ for n, f in meta_fields.items():
+ book_doc[n] = f
+
+ book_doc['uid'] = "book%s" % book_doc['book_id']
+ self.index.add(book_doc)
+ del book_doc
+ book_fields = {
+ 'title': meta_fields['title'],
+ 'authors': meta_fields['authors'],
+ 'published_date': meta_fields['published_date']
+ }
+ if 'translators' in meta_fields:
+ book_fields['translators'] = meta_fields['translators']
+
+ self.index_content(book, book_fields=book_fields)
+
+ master_tags = [
+ 'opowiadanie',
+ 'powiesc',
+ 'dramat_wierszowany_l',
+ 'dramat_wierszowany_lp',
+ 'dramat_wspolczesny', 'liryka_l', 'liryka_lp',
+ 'wywiad',
+ ]
+
+ ignore_content_tags = [
+ 'uwaga', 'extra',
+ 'zastepnik_tekstu', 'sekcja_asterysk', 'separator_linia', 'zastepnik_wersu',
+ 'didaskalia',
+ 'naglowek_aktu', 'naglowek_sceny', 'naglowek_czesc',
+ ]
+
+ footnote_tags = ['pa', 'pt', 'pr', 'pe']
+
+ skip_header_tags = ['autor_utworu', 'nazwa_utworu', 'dzielo_nadrzedne', '{http://www.w3.org/1999/02/22-rdf-syntax-ns#}RDF']
+
+ published_date_re = re.compile("([0-9]+)[\]. ]*$")
+
+ def extract_metadata(self, book, book_info=None, dc_only=None):
+ """
+ Extract metadata from book and returns a map of fields keyed by fieldname
+ """
+ fields = {}
+
+ if book_info is None:
+ book_info = dcparser.parse(open(book.xml_file.path))
+
+ fields['slug'] = book.slug
+ fields['tags'] = [t.name for t in book.tags]
+ fields['is_book'] = True
+
+ # validator, name
+ for field in dcparser.BookInfo.FIELDS:
+ if dc_only and field.name not in dc_only:
+ continue
+ if hasattr(book_info, field.name):
+ if not getattr(book_info, field.name):
+ continue
+ # since no type information is available, we use validator
+ type_indicator = field.validator
+ if type_indicator == dcparser.as_unicode:
+ s = getattr(book_info, field.name)
+ if field.multiple:
+ s = ', '.join(s)
+ fields[field.name] = s
+ elif type_indicator == dcparser.as_person:
+ p = getattr(book_info, field.name)
+ if isinstance(p, dcparser.Person):
+ persons = unicode(p)
+ else:
+ persons = ', '.join(map(unicode, p))
+ fields[field.name] = persons
+ elif type_indicator == dcparser.as_date:
+ dt = getattr(book_info, field.name)
+ fields[field.name] = dt
+
+ # get published date
+ pd = None
+ if hasattr(book_info, 'source_name') and book_info.source_name:
+ match = self.published_date_re.search(book_info.source_name)
+ if match is not None:
+ pd = str(match.groups()[0])
+ if not pd: pd = ""
+ fields["published_date"] = pd
+
+ return fields
+
+ # def add_gaps(self, fields, fieldname):
+ # """
+ # Interposes a list of fields with gap-fields, which are indexed spaces and returns it.
+ # This allows for doing phrase queries which do not overlap the gaps (when slop is 0).
+ # """
+ # def gap():
+ # while True:
+ # yield Field(fieldname, ' ', Field.Store.NO, Field.Index.NOT_ANALYZED)
+ # return reduce(lambda a, b: a + b, zip(fields, gap()))[0:-1]
+
+ def get_master(self, root):
+ """
+ Returns the first master tag from an etree.
+ """
+ for master in root.iter():
+ if master.tag in self.master_tags:
+ return master
+
+ def index_content(self, book, book_fields={}):
+ """
+ Walks the book XML and extract content from it.
+ Adds parts for each header tag and for each fragment.
+ """
+ wld = WLDocument.from_file(book.xml_file.path, parse_dublincore=False)
+ root = wld.edoc.getroot()
+
+ master = self.get_master(root)
+ if master is None:
+ return []
+
+ def walker(node, ignore_tags=[]):
+
+ if node.tag not in ignore_tags:
+ yield node, None, None
+ if node.text is not None:
+ yield None, node.text, None
+ for child in list(node):
+ for b, t, e in walker(child):
+ yield b, t, e
+ yield None, None, node
+
+ if node.tail is not None:
+ yield None, node.tail, None
+ return
+
+ def fix_format(text):
+ # separator = [u" ", u"\t", u".", u";", u","]
+ if isinstance(text, list):
+ # need to join it first
+ text = filter(lambda s: s is not None, content)
+ text = u' '.join(text)
+ # for i in range(len(text)):
+ # if i > 0:
+ # if text[i][0] not in separator\
+ # and text[i - 1][-1] not in separator:
+ # text.insert(i, u" ")
+
+ return re.sub("(?m)/$", "", text)
+
+ def add_part(snippets, **fields):
+ doc = self.create_book_doc(book)
+ for n, v in book_fields.items():
+ doc[n] = v
+
+ doc['header_index'] = fields["header_index"]
+ doc['header_span'] = 'header_span' in fields and fields['header_span'] or 1
+ doc['header_type'] = fields['header_type']
+
+ doc['text'] = fields['text']
+
+ # snippets
+ snip_pos = snippets.add(fields["text"])
+
+ doc['snippets_position'] = snip_pos[0]
+ doc['snippets_length'] = snip_pos[1]
+ if snippets.revision:
+ doc["snippets_revision"] = snippets.revision
+
+ if 'fragment_anchor' in fields:
+ doc["fragment_anchor"] = fields['fragment_anchor']
+
+ if 'themes' in fields:
+ doc['themes'] = fields['themes']
+ doc['uid'] = "part%s%s%s" % (doc['header_index'],
+ doc['header_span'],
+ doc.get('fragment_anchor', ''))
+ return doc
+
+ def give_me_utf8(s):
+ if isinstance(s, unicode):
+ return s.encode('utf-8')
+ else:
+ return s
+
+ fragments = {}
+ snippets = Snippets(book.id).open('w')
+ try:
+ for header, position in zip(list(master), range(len(master))):
+
+ if header.tag in self.skip_header_tags:
+ continue
+ if header.tag is etree.Comment:
+ continue
+
+ # section content
+ content = []
+ footnote = []
+
+ def all_content(text):
+ for frag in fragments.values():
+ frag['text'].append(text)
+ content.append(text)
+ handle_text = [all_content]
+
+ for start, text, end in walker(header, ignore_tags=self.ignore_content_tags):
+ # handle footnotes
+ if start is not None and start.tag in self.footnote_tags:
+ footnote = []
+
+ def collect_footnote(t):
+ footnote.append(t)
+
+ handle_text.append(collect_footnote)
+ elif end is not None and footnote is not [] and end.tag in self.footnote_tags:
+ handle_text.pop()
+ doc = add_part(snippets, header_index=position, header_type=header.tag,
+ text=u''.join(footnote),
+ is_footnote=True)
+ self.index.add(doc)
+ #print "@ footnote text: %s" % footnote
+ footnote = []
+
+ # handle fragments and themes.
+ if start is not None and start.tag == 'begin':
+ fid = start.attrib['id'][1:]
+ fragments[fid] = {'text': [], 'themes': [], 'start_section': position, 'start_header': header.tag}
+
+ # themes for this fragment
+ elif start is not None and start.tag == 'motyw':
+ fid = start.attrib['id'][1:]
+ handle_text.append(None)
+ if start.text is not None:
+ fragments[fid]['themes'] += map(unicode.strip, map(unicode, (start.text.split(','))))
+ elif end is not None and end.tag == 'motyw':
+ handle_text.pop()
+
+ elif start is not None and start.tag == 'end':
+ fid = start.attrib['id'][1:]
+ if fid not in fragments:
+ continue # a broken <end> node, skip it
+ frag = fragments[fid]
+ if frag['themes'] == []:
+ continue # empty themes list.
+ del fragments[fid]
+
+ doc = add_part(snippets,
+ header_type=frag['start_header'],
+ header_index=frag['start_section'],
+ header_span=position - frag['start_section'] + 1,
+ fragment_anchor=fid,
+ text=fix_format(frag['text']),
+ themes=frag['themes'])
+ #print '@ FRAG %s' % frag['content']
+ self.index.add(doc)
+
+ # Collect content.
+
+ if text is not None and handle_text is not []:
+ hdl = handle_text[-1]
+ if hdl is not None:
+ hdl(text)
+
+ # in the end, add a section text.
+ doc = add_part(snippets, header_index=position,
+ header_type=header.tag, text=fix_format(content))
+ #print '@ CONTENT: %s' % fix_format(content)
+
+ self.index.add(doc)
+
+ finally:
+ snippets.close()
+
+
+class SearchResult(object):
+ def __init__(self, doc, how_found=None, query=None, query_terms=None):
+ # self.search = search
+ self.boost = 1.0
+ self._hits = []
+ self._processed_hits = None # processed hits
+ self.snippets = []
+ self.query_terms = query_terms
+
+ if 'score' in doc:
+ self._score = doc['score']
+ else:
+ self._score = 0
+
+ self.book_id = int(doc["book_id"])
+
+ try:
+ self.published_date = int(doc.get("published_date"))
+ except ValueError:
+ self.published_date = 0
+
+ # content hits
+ header_type = doc.get("header_type", None)
+ # we have a content hit in some header of fragment
+ if header_type is not None:
+ sec = (header_type, int(doc["header_index"]))
+ header_span = doc['header_span']
+ header_span = header_span is not None and int(header_span) or 1
+ fragment = doc.get("fragment_anchor", None)
+ snippets_pos = (doc['snippets_position'], doc['snippets_length'])
+ snippets_rev = doc['snippets_revision']
+
+ hit = (sec + (header_span,), fragment, self._score, {
+ 'how_found': how_found,
+ 'snippets_pos': snippets_pos,
+ 'snippets_revision': snippets_rev,
+ 'themes': doc.get('themes', []),
+ 'themes_pl': doc.get('themes_pl', [])
+ })
+
+ self._hits.append(hit)
+
+ def __unicode__(self):
+ return u"<SR id=%d %d(%d) hits score=%f %d snippets" % \
+ (self.book_id, len(self._hits), self._processed_hits and len(self._processed_hits) or -1, self._score, len(self.snippets))
+
+ def __str__(self):
+ return unicode(self).encode('utf-8')
+
+ @property
+ def score(self):
+ return self._score * self.boost
+
+ def merge(self, other):
+ if self.book_id != other.book_id:
+ raise ValueError("this search result is or book %d; tried to merge with %d" % (self.book_id, other.book_id))
+ self._hits += other._hits
+ if other.score > self.score:
+ self._score = other._score
+ return self
+
+ def get_book(self):
+ if hasattr(self, '_book'):
+ return self._book
+ self._book = catalogue.models.Book.objects.get(id=self.book_id)
+ return self._book
+
+ book = property(get_book)
+
+ POSITION = 0
+ FRAGMENT = 1
+ POSITION_INDEX = 1
+ POSITION_SPAN = 2
+ SCORE = 2
+ OTHER = 3
+
+ @property
+ def hits(self):
+ if self._processed_hits is not None:
+ return self._processed_hits
+
+ # to sections and fragments
+ frags = filter(lambda r: r[self.FRAGMENT] is not None, self._hits)
+
+ sect = filter(lambda r: r[self.FRAGMENT] is None, self._hits)
+
+ # sections not covered by fragments
+ sect = filter(lambda s: 0 == len(filter(
+ lambda f: s[self.POSITION][self.POSITION_INDEX] >= f[self.POSITION][self.POSITION_INDEX]
+ and s[self.POSITION][self.POSITION_INDEX] < f[self.POSITION][self.POSITION_INDEX] + f[self.POSITION][self.POSITION_SPAN],
+ frags)), sect)
+
+ hits = []
+
+ def remove_duplicates(lst, keyfn, compare):
+ els = {}
+ for e in lst:
+ eif = keyfn(e)
+ if eif in els:
+ if compare(els[eif], e) >= 1:
+ continue
+ els[eif] = e
+ return els.values()
+
+ # remove fragments with duplicated fid's and duplicated snippets
+ frags = remove_duplicates(frags, lambda f: f[self.FRAGMENT], lambda a, b: cmp(a[self.SCORE], b[self.SCORE]))
+ # frags = remove_duplicates(frags, lambda f: f[OTHER]['snippet_pos'] and f[OTHER]['snippet_pos'] or f[FRAGMENT],
+ # lambda a, b: cmp(a[SCORE], b[SCORE]))
+
+ # remove duplicate sections
+ sections = {}
+
+ for s in sect:
+ si = s[self.POSITION][self.POSITION_INDEX]
+ # skip existing
+ if si in sections:
+ if sections[si]['score'] >= s[self.SCORE]:
+ continue
+
+ m = {'score': s[self.SCORE],
+ 'section_number': s[self.POSITION][self.POSITION_INDEX] + 1,
+ }
+ m.update(s[self.OTHER])
+ sections[si] = m
+
+ hits = sections.values()
+
+ for f in frags:
+ try:
+ frag = catalogue.models.Fragment.objects.get(anchor=f[self.FRAGMENT], book__id=self.book_id)
+ except catalogue.models.Fragment.DoesNotExist:
+ # stale index
+ continue
+ # Figure out if we were searching for a token matching some word in theme name.
+ themes = frag.tags.filter(category='theme')
+ themes_hit = set()
+ if self.query_terms is not None:
+ for i in range(0, len(f[self.OTHER]['themes'])):
+ tms = f[self.OTHER]['themes'][i].split(r' +') + f[self.OTHER]['themes_pl'][i].split(' ')
+ tms = map(unicode.lower, tms)
+ for qt in self.query_terms:
+ if qt in tms:
+ themes_hit.add(f[self.OTHER]['themes'][i])
+ break
+
+ def theme_by_name(n):
+ th = filter(lambda t: t.name == n, themes)
+ if th:
+ return th[0]
+ else:
+ return None
+ themes_hit = filter(lambda a: a is not None, map(theme_by_name, themes_hit))
+
+ m = {'score': f[self.SCORE],
+ 'fragment': frag,
+ 'section_number': f[self.POSITION][self.POSITION_INDEX] + 1,
+ 'themes': themes,
+ 'themes_hit': themes_hit
+ }
+ m.update(f[self.OTHER])
+ hits.append(m)
+
+ hits.sort(lambda a, b: cmp(a['score'], b['score']), reverse=True)
+
+ self._processed_hits = hits
+
+ return hits
+
+ @staticmethod
+ def aggregate(*result_lists):
+ books = {}
+ for rl in result_lists:
+ for r in rl:
+ if r.book_id in books:
+ books[r.book_id].merge(r)
+ else:
+ books[r.book_id] = r
+ return books.values()
+
+ def __cmp__(self, other):
+ c = cmp(self.score, other.score)
+ if c == 0:
+ # this is inverted, because earlier date is better
+ return cmp(other.published_date, self.published_date)
+ else:
+ return c
+
+ def __len__(self):
+ return len(self.hits)
+
+ def snippet_pos(self, idx=0):
+ return self.hits[idx]['snippets_pos']
+
+ def snippet_revision(self, idx=0):
+ try:
+ return self.hits[idx]['snippets_revision']
+ except:
+ return None
+
+
+class Search(SolrIndex):
+ """
+ Search facilities.
+ """
+ def __init__(self, default_field="text"):
+ super(Search, self).__init__(mode='r')
+
+ # def get_tokens(self, searched, field='text', cached=None):
+ # """returns tokens analyzed by a proper (for a field) analyzer
+ # argument can be: StringReader, string/unicode, or tokens. In the last case
+ # they will just be returned (so we can reuse tokens, if we don't change the analyzer)
+ # """
+ # if cached is not None and field in cached:
+ # return cached[field]
+
+ # if isinstance(searched, str) or isinstance(searched, unicode):
+ # searched = StringReader(searched)
+ # elif isinstance(searched, list):
+ # return searched
+
+ # searched.reset()
+ # tokens = self.analyzer.reusableTokenStream(field, searched)
+ # toks = []
+ # while tokens.incrementToken():
+ # cta = tokens.getAttribute(CharTermAttribute.class_)
+ # toks.append(cta.toString())
+
+ # if cached is not None:
+ # cached[field] = toks
+
+ # return toks
+
+ # @staticmethod
+ # def fuzziness(fuzzy):
+ # """Helper method to sanitize fuzziness"""
+ # if not fuzzy:
+ # return None
+ # if isinstance(fuzzy, float) and fuzzy > 0.0 and fuzzy <= 1.0:
+ # return fuzzy
+ # else:
+ # return 0.5
+
+ # def make_phrase(self, tokens, field='text', slop=2, fuzzy=False):
+ # """
+ # Return a PhraseQuery with a series of tokens.
+ # """
+ # if fuzzy:
+ # phrase = MultiPhraseQuery()
+ # for t in tokens:
+ # term = Term(field, t)
+ # fuzzterm = FuzzyTermEnum(self.searcher.getIndexReader(), term, self.fuzziness(fuzzy))
+ # fuzzterms = []
+
+ # while True:
+ # ft = fuzzterm.term()
+ # if ft:
+ # fuzzterms.append(ft)
+ # if not fuzzterm.next(): break
+ # if fuzzterms:
+ # phrase.add(JArray('object')(fuzzterms, Term))
+ # else:
+ # phrase.add(term)
+ # else:
+ # phrase = PhraseQuery()
+ # phrase.setSlop(slop)
+ # for t in tokens:
+ # term = Term(field, t)
+ # phrase.add(term)
+ # return phrase
+
+ def make_term_query(self, query, field='text', modal=operator.or_):
+ """
+ Returns term queries joined by boolean query.
+ modal - applies to boolean query
+ fuzzy - should the query by fuzzy.
+ """
+ q = self.index.Q()
+ q = reduce(modal, map(lambda s: self.index.Q(**{field: s}),
+ query.split(r" ")), q)
+
+ return q
+
+ def search_phrase(self, searched, field='text', book=False,
+ filters=None,
+ snippets=False):
+ if filters is None: filters = []
+ if book: filters.append(self.index.Q(is_book=True))
+
+ q = self.index.query(**{field: searched})
+ q = self.apply_filters(q, filters).field_limit(score=True, all_fields=True)
+ res = q.execute()
+ return [SearchResult(found, how_found=u'search_phrase') for found in res]
+
+ def search_some(self, searched, fields, book=True,
+ filters=None, snippets=True, query_terms=None):
+ assert isinstance(fields, list)
+ if filters is None: filters = []
+ if book: filters.append(self.index.Q(is_book=True))
+
+ query = self.index.Q()
+
+ for fld in fields:
+ query = self.index.Q(query | self.make_term_query(searched, fld))
+
+ query = self.index.query(query)
+ query = self.apply_filters(query, filters).field_limit(score=True, all_fields=True)
+ res = query.execute()
+ return [SearchResult(found, how_found='search_some', query_terms=query_terms) for found in res]
+
+ # def search_perfect_book(self, searched, max_results=20, fuzzy=False, hint=None):
+ # """
+ # Search for perfect book matches. Just see if the query matches with some author or title,
+ # taking hints into account.
+ # """
+ # fields_to_search = ['authors', 'title']
+ # only_in = None
+ # if hint:
+ # if not hint.should_search_for_book():
+ # return []
+ # fields_to_search = hint.just_search_in(fields_to_search)
+ # only_in = hint.book_filter()
+
+ # qrys = [self.make_phrase(self.get_tokens(searched, field=fld), field=fld, fuzzy=fuzzy) for fld in fields_to_search]
+
+ # books = []
+ # for q in qrys:
+ # top = self.searcher.search(q,
+ # self.chain_filters([only_in, self.term_filter(Term('is_book', 'true'))]),
+ # max_results)
+ # for found in top.scoreDocs:
+ # books.append(SearchResult(self, found, how_found="search_perfect_book"))
+ # return books
+
+ # def search_book(self, searched, max_results=20, fuzzy=False, hint=None):
+ # fields_to_search = ['tags', 'authors', 'title']
+
+ # only_in = None
+ # if hint:
+ # if not hint.should_search_for_book():
+ # return []
+ # fields_to_search = hint.just_search_in(fields_to_search)
+ # only_in = hint.book_filter()
+
+ # tokens = self.get_tokens(searched, field='SIMPLE')
+
+ # q = BooleanQuery()
+
+ # for fld in fields_to_search:
+ # q.add(BooleanClause(self.make_term_query(tokens, field=fld,
+ # fuzzy=fuzzy), BooleanClause.Occur.SHOULD))
+
+ # books = []
+ # top = self.searcher.search(q,
+ # self.chain_filters([only_in, self.term_filter(Term('is_book', 'true'))]),
+ # max_results)
+ # for found in top.scoreDocs:
+ # books.append(SearchResult(self, found, how_found="search_book"))
+
+ # return books
+
+ # def search_perfect_parts(self, searched, max_results=20, fuzzy=False, hint=None):
+ # """
+ # Search for book parts which contains a phrase perfectly matching (with a slop of 2, default for make_phrase())
+ # some part/fragment of the book.
+ # """
+ # qrys = [self.make_phrase(self.get_tokens(searched), field=fld, fuzzy=fuzzy) for fld in ['text']]
+
+ # flt = None
+ # if hint:
+ # flt = hint.part_filter()
+
+ # books = []
+ # for q in qrys:
+ # top = self.searcher.search(q,
+ # self.chain_filters([self.term_filter(Term('is_book', 'true'), inverse=True),
+ # flt]),
+ # max_results)
+ # for found in top.scoreDocs:
+ # books.append(SearchResult(self, found, snippets=self.get_snippets(found, q), how_found='search_perfect_parts'))
+
+ # return books
+
+ def search_everywhere(self, searched, query_terms=None):
+ """
+ Tries to use search terms to match different fields of book (or its parts).
+ E.g. one word can be an author survey, another be a part of the title, and the rest
+ are some words from third chapter.
+ """
+ books = []
+ # content only query : themes x content
+ q = self.make_term_query(searched, 'text')
+ q_themes = self.make_term_query(searched, 'themes_pl')
+
+ query = self.index.query(q).query(q_themes).field_limit(score=True, all_fields=True)
+ res = query.execute()
+
+ for found in res:
+ books.append(SearchResult(found, how_found='search_everywhere_themesXcontent', query_terms=query_terms))
+
+ # query themes/content x author/title/tags
+ in_content = self.index.Q()
+ in_meta = self.index.Q()
+
+ for fld in ['themes_pl', 'text']:
+ in_content |= self.make_term_query(searched, field=fld)
+
+ for fld in ['tags', 'authors', 'title']:
+ in_meta |= self.make_term_query(searched, field=fld)
+
+ q = in_content & in_meta
+ res = self.index.query(q).field_limit(score=True, all_fields=True).execute()
+
+ for found in res:
+ books.append(SearchResult(found, how_found='search_everywhere', query_terms=query_terms))
+
+ return books
+
+ def get_snippets(self, searchresult, query, field='text', num=1):
+ """
+ Returns a snippet for found scoreDoc.
+ """
+ maxnum = len(searchresult)
+ if num is None or num < 0 or num > maxnum:
+ num = maxnum
+ book_id = searchresult.book_id
+ revision = searchresult.snippet_revision()
+ snippets = Snippets(book_id, revision=revision)
+ snips = [None] * maxnum
+ try:
+ snippets.open()
+ idx = 0
+ while idx < maxnum and num > 0:
+ position, length = searchresult.snippet_pos(idx)
+ if position is None or length is None:
+ continue
+ text = snippets.get((int(position),
+ int(length)))
+ snip = self.index.highlight(text=text, field=field, q=query)
+ snips[idx] = snip
+ if snip:
+ num -= 1
+ idx += 1
+
+ except IOError, e:
+ log.error("Cannot open snippet file for book id = %d [rev=%d], %s" % (book_id, revision, e))
+ return []
+ finally:
+ snippets.close()
+
+ # remove verse end markers..
+ snips = map(lambda s: s and s.replace("/\n", "\n"), snips)
+
+ searchresult.snippets = snips
+ return snips
+
+ def hint_tags(self, query, pdcounter=True, prefix=True):
+ """
+ Return auto-complete hints for tags
+ using prefix search.
+ """
+ q = self.index.Q()
+ query = query.strip()
+ for field in ['tag_name', 'tag_name_pl']:
+ if prefix:
+ q |= self.index.Q(**{field: query + "*"})
+ else:
+ q |= self.make_term_query(query, field=field)
+ qu = self.index.query(q).exclude(tag_category="book")
+
+ return self.search_tags(qu, pdcounter=pdcounter)
+
+ def search_tags(self, query, filters=None, pdcounter=False):
+ """
+ Search for Tag objects using query.
+ """
+ if not filters: filters = []
+ if not pdcounter:
+ filters.append(~self.index.Q(is_pdcounter=True))
+ res = self.apply_filters(query, filters).execute()
+
+ tags = []
+ for doc in res:
+ is_pdcounter = doc.get('is_pdcounter', False)
+ category = doc.get('tag_category')
+ try:
+ if is_pdcounter == True:
+ if category == 'pd_author':
+ tag = PDCounterAuthor.objects.get(id=doc.get('tag_id'))
+ elif category == 'pd_book':
+ tag = PDCounterBook.objects.get(id=doc.get('tag_id'))
+ tag.category = 'pd_book' # make it look more lik a tag.
+ else:
+ print "Warning. cannot get pdcounter tag_id=%d from db; cat=%s" % (int(doc.get('tag_id')), category)
+ else:
+ tag = catalogue.models.Tag.objects.get(id=doc.get("tag_id"))
+ # don't add the pdcounter tag if same tag already exists
+
+ tags.append(tag)
+
+ except catalogue.models.Tag.DoesNotExist: pass
+ except PDCounterAuthor.DoesNotExist: pass
+ except PDCounterBook.DoesNotExist: pass
+
+ log.debug('search_tags: %s' % tags)
+
+ return tags
+
+ def hint_books(self, query, prefix=True):
+ """
+ Returns auto-complete hints for book titles
+ Because we do not index 'pseudo' title-tags.
+ Prefix search.
+ """
+ q = self.index.Q()
+ query = query.strip()
+ if prefix:
+ q |= self.index.Q(title=query + "*")
+ else:
+ q |= self.make_term_query(query, field='title')
+ qu = self.index.query(q)
+ only_books = self.index.Q(is_book=True)
+ return self.search_books(qu, [only_books])
+
+ def search_books(self, query, filters=None, max_results=10):
+ """
+ Searches for Book objects using query
+ """
+ bks = []
+ res = self.apply_filters(query, filters).field_limit(['book_id'])
+ for r in res:
+ try:
+ bks.append(catalogue.models.Book.objects.get(id=r['book_id']))
+ except catalogue.models.Book.DoesNotExist: pass
+ return bks
+
+ # def make_prefix_phrase(self, toks, field):
+ # q = MultiPhraseQuery()
+ # for i in range(len(toks)):
+ # t = Term(field, toks[i])
+ # if i == len(toks) - 1:
+ # pterms = Search.enum_to_array(PrefixTermEnum(self.searcher.getIndexReader(), t))
+ # if pterms:
+ # q.add(pterms)
+ # else:
+ # q.add(t)
+ # else:
+ # q.add(t)
+ # return q
+
+ # @staticmethod
+ # def term_filter(term, inverse=False):
+ # only_term = TermsFilter()
+ # only_term.addTerm(term)
+
+ # if inverse:
+ # neg = BooleanFilter()
+ # neg.add(FilterClause(only_term, BooleanClause.Occur.MUST_NOT))
+ # only_term = neg
+
+ # return only_term
+
+
+
+ @staticmethod
+ def apply_filters(query, filters):
+ """
+ Apply filters to a query
+ """
+ if filters is None: filters = []
+ filters = filter(lambda x: x is not None, filters)
+ for f in filters:
+ query = query.query(f)
+ return query
+
+ # def filtered_categories(self, tags):
+ # """
+ # Return a list of tag categories, present in tags list.
+ # """
+ # cats = {}
+ # for t in tags:
+ # cats[t.category] = True
+ # return cats.keys()
+
+ # def hint(self):
+ # return Hint(self)
fnp / wolnelektury.git / blobdiff