X-Git-Url: https://git.mdrn.pl/wolnelektury.git/blobdiff_plain/2a92080b0d771caea89575f66c5545897397f9a7..480da6ff4ed8c04b205710c318b2fcfcb961bbc7:/apps/search/index.py?ds=sidebyside diff --git a/apps/search/index.py b/apps/search/index.py index 8f7722a77..e7f28c9da 100644 --- a/apps/search/index.py +++ b/apps/search/index.py @@ -1,12 +1,1308 @@ +# -*- 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 highlight + + +class SolrIndex(object): + def __init__(self, mode=None): + self.index = highlight.HLSolrInterface(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 + + 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 BookSearch(object): + +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__() + + 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 + } + 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 + } + else: + doc = { + "tag_id": int(tag.id), + "tag_name": tag.name, + "tag_name_pl": tag.name, + "tag_category": tag.category, + "is_pdcounter": False + } + doc['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 + + self.index_content(book, book_fields={ + 'title': meta_fields['title'], + 'authors': meta_fields['authors'], + 'published_date': meta_fields['published_date']}) + + 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 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, search, doc, how_found=None, snippets=None, searched=None, tokens_cache=None): + if tokens_cache is None: tokens_cache = {} + + if 'score' in doc: + self._score = doc['score'] + else: + self._score = 0 + + self.boost = 1.0 + + self._hits = [] + self._processed_hits = None # processed hits + + self.book_id = int(doc["book_id"]) + + pd = doc["published_date"] + try: + self.published_date = int(pd) + except ValueError: + self.published_date = 0 + + 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) + + if snippets: + snippets = snippets.replace("/\n", "\n") + hit = (sec + (header_span,), fragment, self._score, {'how_found': how_found, 'snippets': snippets and [snippets] or []}) + + self._hits.append(hit) + + self.search = search + self.searched = searched + self.tokens_cache = tokens_cache + + @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 + return catalogue.models.Book.objects.get(id=self.book_id) + + book = property(get_book) + + @property + def hits(self): + if self._processed_hits is not None: + return self._processed_hits + + POSITION = 0 + FRAGMENT = 1 + POSITION_INDEX = 1 + POSITION_SPAN = 2 + SCORE = 2 + OTHER = 3 + + # to sections and fragments + frags = filter(lambda r: r[FRAGMENT] is not None, self._hits) + + sect = filter(lambda r: r[FRAGMENT] is None, self._hits) + + # sections not covered by fragments + sect = filter(lambda s: 0 == len(filter( + lambda f: s[POSITION][POSITION_INDEX] >= f[POSITION][POSITION_INDEX] + and s[POSITION][POSITION_INDEX] < f[POSITION][POSITION_INDEX] + f[POSITION][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[FRAGMENT], lambda a, b: cmp(a[SCORE], b[SCORE])) + frags = remove_duplicates(frags, lambda f: f[OTHER]['snippets'] and f[OTHER]['snippets'][0] or f[FRAGMENT], + lambda a, b: cmp(a[SCORE], b[SCORE])) + + # remove duplicate sections + sections = {} + + for s in sect: + si = s[POSITION][POSITION_INDEX] + # skip existing + if si in sections: + if sections[si]['score'] >= s[SCORE]: + continue + + m = {'score': s[SCORE], + 'section_number': s[POSITION][POSITION_INDEX] + 1, + } + m.update(s[OTHER]) + sections[si] = m + + hits = sections.values() + + for f in frags: + try: + frag = catalogue.models.Fragment.objects.get(anchor=f[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 = [] + if self.searched is not None: + tokens = self.search.get_tokens(self.searched, 'POLISH', cached=self.tokens_cache) + for theme in themes: + name_tokens = self.search.get_tokens(theme.name, 'POLISH') + for t in tokens: + if t in name_tokens: + if not theme in themes_hit: + themes_hit.append(theme) + break + + m = {'score': f[SCORE], + 'fragment': frag, + 'section_number': f[POSITION][POSITION_INDEX] + 1, + 'themes': themes, + 'themes_hit': themes_hit + } + m.update(f[OTHER]) + hits.append(m) + + hits.sort(lambda a, b: cmp(a['score'], b['score']), reverse=True) + + self._processed_hits = hits + + return hits + + def __unicode__(self): + return u'SearchResult(book_id=%d, score=%d)' % (self.book_id, self.score) + + @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 + + +class Hint(object): + """ + Given some hint information (information we already know about) + our search target - like author, title (specific book), epoch, genre, kind + we can narrow down search using filters. + """ + def __init__(self, search): + """ + Accepts a Searcher instance. + """ + self.search = search + self.book_tags = {} + self.part_tags = [] + self._books = [] + + def books(self, *books): + """ + Give a hint that we search these books. + """ + self._books = books + + def tags(self, tags): + """ + Give a hint that these Tag objects (a list of) + is necessary. + """ + for t in tags: + if t.category in ['author', 'title', 'epoch', 'genre', 'kind']: + lst = self.book_tags.get(t.category, []) + lst.append(t) + self.book_tags[t.category] = lst + if t.category in ['theme', 'theme_pl']: + self.part_tags.append(t) + + def tag_filter(self, tags, field='tags'): + """ + Given a lsit of tags and an optional field (but they are normally in tags field) + returns a filter accepting only books with specific tags. + """ + q = BooleanQuery() + + for tag in tags: + toks = self.search.get_tokens(tag.name, field=field) + tag_phrase = PhraseQuery() + for tok in toks: + tag_phrase.add(Term(field, tok)) + q.add(BooleanClause(tag_phrase, BooleanClause.Occur.MUST)) + + return QueryWrapperFilter(q) + + def book_filter(self): + """ + Filters using book tags (all tag kinds except a theme) + """ + tags = reduce(lambda a, b: a + b, self.book_tags.values(), []) + if tags: + return self.tag_filter(tags) + else: + return None + + def part_filter(self): + """ + This filter can be used to look for book parts. + It filters on book id and/or themes. + """ + fs = [] + if self.part_tags: + fs.append(self.tag_filter(self.part_tags, field='themes')) + + if self._books != []: + bf = BooleanFilter() + for b in self._books: + id_filter = NumericRangeFilter.newIntRange('book_id', b.id, b.id, True, True) + bf.add(FilterClause(id_filter, BooleanClause.Occur.SHOULD)) + fs.append(bf) + + return Search.chain_filters(fs) + + def should_search_for_book(self): + return self._books == [] + + def just_search_in(self, all): + """Holds logic to figure out which indexes should be search, when we have some hinst already""" + some = [] + for field in all: + if field == 'authors' and 'author' in self.book_tags: + continue + if field == 'title' and self._books != []: + continue + if (field == 'themes' or field == 'themes_pl') and self.part_tags: + continue + some.append(field) + return some + + +class Search(SolrIndex): + """ + Search facilities. + """ + def __init__(self, default_field="text"): + IndexStore.__init__(self) + self.analyzer = WLAnalyzer() # PolishAnalyzer(Version.LUCENE_34) + # self.analyzer = WLAnalyzer() + reader = IndexReader.open(self.store, True) + self.searcher = IndexSearcher(reader) + self.parser = QueryParser(Version.LUCENE_34, default_field, + self.analyzer) + + self.parent_filter = TermsFilter() + self.parent_filter.addTerm(Term("is_book", "true")) + index_changed.connect(self.reopen) + + def close(self): + reader = self.searcher.getIndexReader() + self.searcher.close() + reader.close() + super(Search, self).close() + index_changed.disconnect(self.reopen) + + def reopen(self, **unused): + reader = self.searcher.getIndexReader() + rdr = reader.reopen() + if not rdr.equals(reader): + log.debug('Reopening index') + oldsearch = self.searcher + self.searcher = IndexSearcher(rdr) + oldsearch.close() + reader.close() + + def query(self, query): + """Parse query in default Lucene Syntax. (for humans) + """ + return self.parser.parse(query) + + def simple_search(self, query, max_results=50): + """Runs a query for books using lucene syntax. (for humans) + Returns (books, total_hits) + """ + + tops = self.searcher.search(self.query(query), max_results) + bks = [] + for found in tops.scoreDocs: + doc = self.searcher.doc(found.doc) + bks.append(catalogue.models.Book.objects.get(id=doc.get("book_id"))) + return (bks, tops.totalHits) + + 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 + + @staticmethod + def make_term_query(tokens, field='text', modal='BooleanClause.Occur.SHOULD XXX', fuzzy=False): + """ + Returns term queries joined by boolean query. + modal - applies to boolean query + fuzzy - should the query by fuzzy. + """ + q = BooleanQuery() + for t in tokens: + term = Term(field, t) + if fuzzy: + term = FuzzyQuery(term, self.fuzziness(fuzzy)) + else: + term = TermQuery(term) + q.add(BooleanClause(term, modal)) + return q + + def search_phrase(self, searched, field, book=True, max_results=20, fuzzy=False, + filters=None, tokens_cache=None, boost=None, snippets=False, slop=2): + if filters is None: filters = [] + if tokens_cache is None: tokens_cache = {} + + tokens = self.get_tokens(searched, field, cached=tokens_cache) + + query = self.make_phrase(tokens, field=field, fuzzy=fuzzy, slop=slop) + if book: + filters.append(self.term_filter(Term('is_book', 'true'))) + top = self.searcher.search(query, self.chain_filters(filters), max_results) + + return [SearchResult(self, found, snippets=(snippets and self.get_snippets(found, query) or None), searched=searched) for found in top.scoreDocs] + + def search_some(self, searched, fields, book=True, max_results=20, fuzzy=False, + filters=None, tokens_cache=None, boost=None, snippets=True): + if filters is None: filters = [] + if tokens_cache is None: tokens_cache = {} + + if book: + filters.append(self.term_filter(Term('is_book', 'true'))) + + query = BooleanQuery() + + for fld in fields: + tokens = self.get_tokens(searched, fld, cached=tokens_cache) + + query.add(BooleanClause(self.make_term_query(tokens, field=fld, + fuzzy=fuzzy), BooleanClause.Occur.SHOULD)) + + top = self.searcher.search(query, self.chain_filters(filters), max_results) + + return [SearchResult(self, found, searched=searched, tokens_cache=tokens_cache, + snippets=(snippets and self.get_snippets(found, query) or None)) for found in top.scoreDocs] + + 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, max_results=20, fuzzy=False, hint=None, tokens_cache=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. + """ + if tokens_cache is None: tokens_cache = {} + books = [] + only_in = None + + if hint: + only_in = hint.part_filter() + + # content only query : themes x content + q = BooleanQuery() + + tokens_pl = self.get_tokens(searched, field='text', cached=tokens_cache) + tokens = self.get_tokens(searched, field='SIMPLE', cached=tokens_cache) + + # only search in themes when we do not already filter by themes + if hint is None or hint.just_search_in(['themes']) != []: + q.add(BooleanClause(self.make_term_query(tokens_pl, field='themes_pl', + fuzzy=fuzzy), BooleanClause.Occur.MUST)) + + q.add(BooleanClause(self.make_term_query(tokens_pl, field='text', + fuzzy=fuzzy), BooleanClause.Occur.SHOULD)) + + topDocs = self.searcher.search(q, only_in, max_results) + for found in topDocs.scoreDocs: + books.append(SearchResult(self, found, how_found='search_everywhere_themesXcontent', searched=searched)) + + # query themes/content x author/title/tags + q = BooleanQuery() + in_content = BooleanQuery() + in_meta = BooleanQuery() + + for fld in ['themes_pl', 'text']: + in_content.add(BooleanClause(self.make_term_query(tokens_pl, field=fld, fuzzy=False), BooleanClause.Occur.SHOULD)) + + for fld in ['tags', 'authors', 'title']: + in_meta.add(BooleanClause(self.make_term_query(tokens, field=fld, fuzzy=False), BooleanClause.Occur.SHOULD)) + + q.add(BooleanClause(in_content, BooleanClause.Occur.MUST)) + q.add(BooleanClause(in_meta, BooleanClause.Occur.SHOULD)) + + topDocs = self.searcher.search(q, only_in, max_results) + for found in topDocs.scoreDocs: + books.append(SearchResult(self, found, how_found='search_everywhere', searched=searched)) + + return books + + # def multisearch(self, query, max_results=50): + # """ + # Search strategy: + # - (phrase) OR -> content + # -> title + # -> authors + # - (keywords) -> authors + # -> motyw + # -> tags + # -> content + # """ + # queryreader = StringReader(query) + # tokens = self.get_tokens(queryreader) + + # top_level = BooleanQuery() + # Should = BooleanClause.Occur.SHOULD + + # phrase_level = BooleanQuery() + # phrase_level.setBoost(1.3) + + # p_content = self.make_phrase(tokens, joined=True) + # p_title = self.make_phrase(tokens, 'title') + # p_author = self.make_phrase(tokens, 'author') + + # phrase_level.add(BooleanClause(p_content, Should)) + # phrase_level.add(BooleanClause(p_title, Should)) + # phrase_level.add(BooleanClause(p_author, Should)) + + # kw_level = BooleanQuery() + + # kw_level.add(self.make_term_query(tokens, 'author'), Should) + # j_themes = self.make_term_query(tokens, 'themes', joined=True) + # kw_level.add(j_themes, Should) + # kw_level.add(self.make_term_query(tokens, 'tags'), Should) + # j_con = self.make_term_query(tokens, joined=True) + # kw_level.add(j_con, Should) + + # top_level.add(BooleanClause(phrase_level, Should)) + # top_level.add(BooleanClause(kw_level, Should)) + + # return None + + def get_snippets(self, scoreDoc, query, field='text'): + """ + Returns a snippet for found scoreDoc. + """ + htmlFormatter = SimpleHTMLFormatter() + highlighter = Highlighter(htmlFormatter, QueryScorer(query)) + + stored = self.searcher.doc(scoreDoc.doc) + + position = stored.get('snippets_position') + length = stored.get('snippets_length') + if position is None or length is None: + return None + revision = stored.get('snippets_revision') + if revision: revision = int(revision) + + # locate content. + book_id = int(stored.get('book_id')) + snippets = Snippets(book_id, revision=revision) + + try: + snippets.open() + except IOError, e: + log.error("Cannot open snippet file for book id = %d [rev=%d], %s" % (book_id, revision, e)) + return [] + + try: + try: + text = snippets.get((int(position), + int(length))) + finally: + snippets.close() + + tokenStream = TokenSources.getAnyTokenStream(self.searcher.getIndexReader(), scoreDoc.doc, field, self.analyzer) + # highlighter.getBestTextFragments(tokenStream, text, False, 10) + snip = highlighter.getBestFragments(tokenStream, text, 3, "...") + + except Exception, e: + e2 = e + if hasattr(e, 'getJavaException'): + e2 = unicode(e.getJavaException()) + raise Exception("Problem fetching snippets for book %d, @%d len=%d" % (book_id, int(position), int(length)), + e2) + return snip + + @staticmethod + def enum_to_array(enum): + """ + Converts a lucene TermEnum to array of Terms, suitable for + addition to queries + """ + terms = [] + + while True: + t = enum.term() + if t: + terms.append(t) + if not enum.next(): break + + if terms: + return JArray('object')(terms, Term) + + def search_tags(self, query, filt=None, max_results=40, pdcounter=False): + """ + Search for Tag objects using query. + """ + if not pdcounter: + filters = self.chain_filters([filt, self.term_filter(Term('is_pdcounter', 'true'), inverse=True)]) + tops = self.searcher.search(query, filt, max_results) + + tags = [] + for found in tops.scoreDocs: + doc = self.searcher.doc(found.doc) + is_pdcounter = doc.get('is_pdcounter') + 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 search_books(self, query, filt=None, max_results=10): + """ + Searches for Book objects using query + """ + bks = [] + tops = self.searcher.search(query, filt, max_results) + for found in tops.scoreDocs: + doc = self.searcher.doc(found.doc) + try: + bks.append(catalogue.models.Book.objects.get(id=doc.get("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 + + def hint_tags(self, string, max_results=50, pdcounter=True, prefix=True, fuzzy=False): + """ + Return auto-complete hints for tags + using prefix search. + """ + toks = self.get_tokens(string, field='SIMPLE') + top = BooleanQuery() + + for field in ['tag_name', 'tag_name_pl']: + if prefix: + q = self.make_prefix_phrase(toks, field) + else: + q = self.make_term_query(toks, field, fuzzy=fuzzy) + top.add(BooleanClause(q, BooleanClause.Occur.SHOULD)) + + no_book_cat = self.term_filter(Term("tag_category", "book"), inverse=True) + + return self.search_tags(top, no_book_cat, max_results=max_results, pdcounter=pdcounter) + + def hint_books(self, string, max_results=50, prefix=True, fuzzy=False): + """ + Returns auto-complete hints for book titles + Because we do not index 'pseudo' title-tags. + Prefix search. + """ + toks = self.get_tokens(string, field='SIMPLE') + + if prefix: + q = self.make_prefix_phrase(toks, 'title') + else: + q = self.make_term_query(toks, 'title', fuzzy=fuzzy) + + return self.search_books(q, self.term_filter(Term("is_book", "true")), max_results=max_results) + + @staticmethod + def chain_filters(filters, op='XXXChainedFilter.AND'): + """ + Chains a filter list together + """ + filters = filter(lambda x: x is not None, filters) + if not filters or filters is []: + return None + chf = ChainedFilter(JArray('object')(filters, Filter), op) + return chf + + 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)