X-Git-Url: https://git.mdrn.pl/wolnelektury.git/blobdiff_plain/124258c72bb9e69e6336de195f3a3b3e74509b95..c159744a19d4619f1bf08d40d5f69aab91817b6a:/apps/search/index.py diff --git a/apps/search/index.py b/apps/search/index.py index 77ce877af..b3e932285 100644 --- a/apps/search/index.py +++ b/apps/search/index.py @@ -1,7 +1,7 @@ # -*- coding: utf-8 -*- from django.conf import settings -from lucene import SimpleFSDirectory, IndexWriter, CheckIndex, \ +from lucene import SimpleFSDirectory, NIOFSDirectory, IndexWriter, IndexWriterConfig, CheckIndex, \ File, Field, Integer, \ NumericField, Version, Document, JavaError, IndexSearcher, \ QueryParser, PerFieldAnalyzerWrapper, \ @@ -25,7 +25,9 @@ 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 multiprocessing.pool import ThreadPool from threading import current_thread import atexit @@ -54,6 +56,8 @@ class WLAnalyzer(PerFieldAnalyzerWrapper): self.addAnalyzer("source_name", simple) self.addAnalyzer("publisher", simple) self.addAnalyzer("authors", simple) + self.addAnalyzer("title", simple) + self.addAnalyzer("is_book", keyword) # shouldn't the title have two forms? _pl and simple? @@ -78,7 +82,7 @@ class IndexStore(object): """ def __init__(self): self.make_index_dir() - self.store = SimpleFSDirectory(File(settings.SEARCH_INDEX)) + self.store = NIOFSDirectory(File(settings.SEARCH_INDEX)) def make_index_dir(self): try: @@ -165,11 +169,13 @@ class BaseIndex(IndexStore): analyzer = WLAnalyzer() self.analyzer = analyzer - def open(self, analyzer=None): + def open(self, timeout=None): if self.index: raise Exception("Index is already opened") - self.index = IndexWriter(self.store, self.analyzer,\ - IndexWriter.MaxFieldLength.LIMITED) + conf = IndexWriterConfig(Version.LUCENE_34, self.analyzer) + if timeout: + conf.setWriteLockTimeout(long(timeout)) + self.index = IndexWriter(self.store, conf) return self.index def optimize(self): @@ -208,22 +214,40 @@ class Index(BaseIndex): q = NumericRangeQuery.newIntRange("tag_id", 0, Integer.MAX_VALUE, True, True) self.index.deleteDocuments(q) - for tag in catalogue.models.Tag.objects.all(): + for tag in catalogue.models.Tag.objects.exclude(category='set'): doc = Document() - doc.add(NumericField("tag_id", Field.Store.YES, True).setIntValue(tag.id)) + doc.add(NumericField("tag_id", Field.Store.YES, True).setIntValue(int(tag.id))) doc.add(Field("tag_name", tag.name, Field.Store.NO, Field.Index.ANALYZED)) doc.add(Field("tag_name_pl", tag.name, Field.Store.NO, Field.Index.ANALYZED)) doc.add(Field("tag_category", tag.category, Field.Store.NO, Field.Index.NOT_ANALYZED)) self.index.addDocument(doc) + for pdtag in PDCounterAuthor.objects.all(): + doc = Document() + doc.add(NumericField("tag_id", Field.Store.YES, True).setIntValue(int(pdtag.id))) + doc.add(Field("tag_name", pdtag.name, Field.Store.NO, Field.Index.ANALYZED)) + doc.add(Field("tag_name_pl", pdtag.name, Field.Store.NO, Field.Index.ANALYZED)) + doc.add(Field("tag_category", 'pd_author', Field.Store.YES, Field.Index.NOT_ANALYZED)) + doc.add(Field("is_pdcounter", 'true', Field.Store.YES, Field.Index.NOT_ANALYZED)) + self.index.addDocument(doc) + + for pdtag in PDCounterBook.objects.all(): + doc = Document() + doc.add(NumericField("tag_id", Field.Store.YES, True).setIntValue(int(pdtag.id))) + doc.add(Field("tag_name", pdtag.title, Field.Store.NO, Field.Index.ANALYZED)) + doc.add(Field("tag_name_pl", pdtag.title, Field.Store.NO, Field.Index.ANALYZED)) + doc.add(Field("tag_category", 'pd_book', Field.Store.YES, Field.Index.NOT_ANALYZED)) + doc.add(Field("is_pdcounter", 'true', Field.Store.YES, Field.Index.NOT_ANALYZED)) + self.index.addDocument(doc) + def create_book_doc(self, book): """ Create a lucene document referring book id. """ doc = Document() - doc.add(NumericField("book_id", Field.Store.YES, True).setIntValue(book.id)) + doc.add(NumericField("book_id", Field.Store.YES, True).setIntValue(int(book.id))) if book.parent is not None: - doc.add(NumericField("parent_id", Field.Store.YES, True).setIntValue(book.parent.id)) + doc.add(NumericField("parent_id", Field.Store.YES, True).setIntValue(int(book.parent.id))) return doc def remove_book(self, book): @@ -249,11 +273,10 @@ class Index(BaseIndex): book_doc.add(elem) else: book_doc.add(f) - self.index.addDocument(book_doc) del book_doc - self.index_content(book, book_fields=[meta_fields['title'], meta_fields['authors']]) + self.index_content(book, book_fields=[meta_fields['title'], meta_fields['authors'], meta_fields['published_date']]) master_tags = [ 'opowiadanie', @@ -261,10 +284,21 @@ class Index(BaseIndex): 'dramat_wierszowany_l', 'dramat_wierszowany_lp', 'dramat_wspolczesny', 'liryka_l', 'liryka_lp', - 'wywiad' + 'wywiad', + ] + + ignore_content_tags = [ + 'uwaga', 'extra', + 'zastepnik_tekstu', 'sekcja_asterysk', 'separator_linia', 'zastepnik_wersu', + 'didaskalia', + 'naglowek_aktu', 'naglowek_sceny', 'naglowek_czesc', ] - skip_header_tags = ['autor_utworu', 'nazwa_utworu', 'dzielo_nadrzedne'] + 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]+)[\]. ]*$") def extract_metadata(self, book, book_info=None): """ @@ -306,6 +340,15 @@ class Index(BaseIndex): fields[field.name] = Field(field.name, "%04d%02d%02d" %\ (dt.year, dt.month, dt.day), Field.Store.NO, Field.Index.NOT_ANALYZED) + # get published date + pd = None + if hasattr(book_info, 'source_name') and book_info.source_name: + match = self.published_date_re.search(book_info.source_name) + if match is not None: + pd = str(match.groups()[0]) + if not pd: pd = "" + fields["published_date"] = Field("published_date", pd, Field.Store.YES, Field.Index.NOT_ANALYZED) + return fields def add_gaps(self, fields, fieldname): @@ -338,15 +381,33 @@ class Index(BaseIndex): if master is None: return [] - def walker(node): - yield node, None - for child in list(node): - for b, e in walker(child): - yield b, e - yield None, node + def walker(node, ignore_tags=[]): + + if node.tag not in ignore_tags: + yield node, None, None + if node.text is not None: + yield None, node.text, None + for child in list(node): + for b, t, e in walker(child): + yield b, t, e + yield None, None, node + + if node.tail is not None: + yield None, node.tail, None return def fix_format(text): + # separator = [u" ", u"\t", u".", u";", u","] + if isinstance(text, list): + # need to join it first + text = filter(lambda s: s is not None, content) + text = u' '.join(text) + # for i in range(len(text)): + # if i > 0: + # if text[i][0] not in separator\ + # and text[i - 1][-1] not in separator: + # text.insert(i, u" ") + return re.sub("(?m)/$", "", text) def add_part(snippets, **fields): @@ -399,24 +460,51 @@ class Index(BaseIndex): if header.tag in self.skip_header_tags: continue + if header.tag is etree.Comment: + continue - content = u' '.join([t for t in header.itertext()]) - content = fix_format(content) - - doc = add_part(snippets, header_index=position, header_type=header.tag, content=content) - - self.index.addDocument(doc) - - for start, end in walker(header): + # section content + content = [] + footnote = [] + + def all_content(text): + for frag in fragments.values(): + frag['content'].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, + content=u''.join(footnote), + is_footnote=Field("is_footnote", 'true', Field.Store.NO, Field.Index.NOT_ANALYZED)) + + self.index.addDocument(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] = {'content': [], 'themes': [], 'start_section': position, 'start_header': header.tag} - fragments[fid]['content'].append(start.tail) + + # 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(str.strip, map(give_me_utf8, start.text.split(','))) - fragments[fid]['content'].append(start.tail) + 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: @@ -426,26 +514,30 @@ class Index(BaseIndex): continue # empty themes list. del fragments[fid] - def jstr(l): - return u' '.join(map( - lambda x: x == None and u'(none)' or unicode(x), - l)) - doc = add_part(snippets, header_type=frag['start_header'], header_index=frag['start_section'], header_span=position - frag['start_section'] + 1, fragment_anchor=fid, - content=u' '.join(filter(lambda s: s is not None, frag['content'])), + content=fix_format(frag['content']), themes=frag['themes']) - + #print '@ FRAG %s' % frag['content'] self.index.addDocument(doc) - elif start is not None: - for frag in fragments.values(): - frag['content'].append(start.text) - elif end is not None: - for frag in fragments.values(): - frag['content'].append(end.tail) + + # 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, + content=fix_format(content)) + #print '@ CONTENT: %s' % fix_format(content) + + self.index.addDocument(doc) + finally: snippets.close() @@ -471,12 +563,12 @@ class ReusableIndex(Index): """ index = None - def open(self, analyzer=None, threads=4): - if ReusableIndex.index is not None: + def open(self, analyzer=None, **kw): + if ReusableIndex.index: self.index = ReusableIndex.index else: print("opening index") - Index.open(self, analyzer) + Index.open(self, analyzer, **kw) ReusableIndex.index = self.index atexit.register(ReusableIndex.close_reusable) @@ -486,13 +578,15 @@ class ReusableIndex(Index): @staticmethod def close_reusable(): - if ReusableIndex.index is not None: + if ReusableIndex.index: + print("closing index") ReusableIndex.index.optimize() ReusableIndex.index.close() ReusableIndex.index = None def close(self): - pass + if ReusableIndex.index: + ReusableIndex.index.commit() class JoinSearch(object): @@ -539,39 +633,57 @@ class JoinSearch(object): class SearchResult(object): - def __init__(self, searcher, scoreDocs, score=None, how_found=None, snippets=None): - self.snippets = [] + def __init__(self, search, scoreDocs, score=None, how_found=None, snippets=None, searched=None, tokens_cache=None): + if tokens_cache is None: tokens_cache = {} if score: - self.score = score + self._score = score else: - self.score = scoreDocs.score + self._score = scoreDocs.score + + self.boost = 1.0 - self.hits = [] + self._hits = [] + self._processed_hits = None # processed hits - stored = searcher.doc(scoreDocs.doc) + stored = search.searcher.doc(scoreDocs.doc) self.book_id = int(stored.get("book_id")) + pd = stored.get("published_date") + try: + self.published_date = int(pd) + except ValueError: + self.published_date = 0 + header_type = stored.get("header_type") - if not header_type: - return + # we have a content hit in some header of fragment + if header_type is not None: + sec = (header_type, int(stored.get("header_index"))) + header_span = stored.get('header_span') + header_span = header_span is not None and int(header_span) or 1 - sec = (header_type, int(stored.get("header_index"))) - header_span = stored.get('header_span') - header_span = header_span is not None and int(header_span) or 1 + fragment = stored.get("fragment_anchor") - fragment = stored.get("fragment_anchor") + if snippets: + snippets = snippets.replace("/\n", "\n") + hit = (sec + (header_span,), fragment, scoreDocs.score, {'how_found': how_found, 'snippets': snippets and [snippets] or []}) - hit = (sec + (header_span,), fragment, scoreDocs.score, {'how_found': how_found, 'snippets': [snippets]}) + self._hits.append(hit) - 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 + self._hits += other._hits if other.score > self.score: - self.score = other.score + self._score = other._score return self def get_book(self): @@ -579,34 +691,88 @@ class SearchResult(object): book = property(get_book) - def process_hits(self): - frags = filter(lambda r: r[1] is not None, self.hits) - sect = filter(lambda r: r[1] is None, self.hits) + @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) sect = filter(lambda s: 0 == len(filter( - lambda f: s[0][1] >= f[0][1] and s[0][1] < f[0][1] + f[0][2], + 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 = [] + # remove duplicate fragments + fragments = {} + for f in frags: + fid = f[FRAGMENT] + if fid in fragments: + if fragments[fid][SCORE] >= f[SCORE]: + continue + fragments[fid] = f + frags = fragments.values() + + # remove duplicate sections + sections = {} + for s in sect: - m = {'score': s[2], - 'header_index': s[0][1] + 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[3]) - hits.append(m) + m.update(s[OTHER]) + sections[si] = m + + hits = sections.values() for f in frags: - frag = catalogue.models.Fragment.objects.get(anchor=f[1]) - m = {'score': f[2], + 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, - 'themes': frag.tags.filter(category='theme') + 'section_number': f[POSITION][POSITION_INDEX] + 1, + 'themes': themes, + 'themes_hit': themes_hit } - m.update(f[3]) + m.update(f[OTHER]) hits.append(m) hits.sort(lambda a, b: cmp(a['score'], b['score']), reverse=True) - print("--- %s" % hits) + self._processed_hits = hits return hits @@ -626,7 +792,12 @@ class SearchResult(object): return books.values() def __cmp__(self, other): - return cmp(self.score, other.score) + 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): @@ -660,7 +831,7 @@ class Hint(object): lst = self.book_tags.get(t.category, []) lst.append(t) self.book_tags[t.category] = lst - if t.category in ['theme']: + if t.category in ['theme', 'theme_pl']: self.part_tags.append(t) def tag_filter(self, tags, field='tags'): @@ -756,11 +927,14 @@ class Search(IndexStore): bks.append(catalogue.models.Book.objects.get(id=doc.get("book_id"))) return (bks, tops.totalHits) - def get_tokens(self, searched, field='content'): + def get_tokens(self, searched, field='content', 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): @@ -772,6 +946,10 @@ class Search(IndexStore): while tokens.incrementToken(): cta = tokens.getAttribute(CharTermAttribute.class_) toks.append(cta.toString()) + + if cached is not None: + cached[field] = toks + return toks def fuzziness(self, fuzzy): @@ -828,9 +1006,40 @@ class Search(IndexStore): q.add(BooleanClause(term, modal)) return q - # def content_query(self, query): - # return BlockJoinQuery(query, self.parent_filter, - # BlockJoinQuery.ScoreMode.Total) + 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): """ @@ -853,12 +1062,39 @@ class Search(IndexStore): self.chain_filters([only_in, self.term_filter(Term('is_book', 'true'))]), max_results) for found in top.scoreDocs: - books.append(SearchResult(self.searcher, found)) + 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 containt a phrase perfectly matching (with a slop of 2, default for make_phrase()) + 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 ['content']] @@ -874,16 +1110,17 @@ class Search(IndexStore): flt]), max_results) for found in top.scoreDocs: - books.append(SearchResult(self.searcher, found, snippets=self.get_snippets(found, q))) + 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): + 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 @@ -893,29 +1130,40 @@ class Search(IndexStore): # content only query : themes x content q = BooleanQuery() - tokens = self.get_tokens(searched) - if hint is None or hint.just_search_in(['themes_pl']) != []: - q.add(BooleanClause(self.make_term_query(tokens, field='themes_pl', + tokens_pl = self.get_tokens(searched, field='content', 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, field='content', + q.add(BooleanClause(self.make_term_query(tokens_pl, field='content', fuzzy=fuzzy), BooleanClause.Occur.SHOULD)) topDocs = self.searcher.search(q, only_in, max_results) for found in topDocs.scoreDocs: - books.append(SearchResult(self.searcher, found)) + books.append(SearchResult(self, found, how_found='search_everywhere_themesXcontent', searched=searched)) + print "* %s theme x content: %s" % (searched, books[-1]._hits) # query themes/content x author/title/tags q = BooleanQuery() - # in_meta = BooleanQuery() in_content = BooleanQuery() + in_meta = BooleanQuery() + + for fld in ['themes_pl', 'content']: + 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)) - for fld in ['themes', 'content', 'tags', 'authors', 'title']: - in_content.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.searcher, found)) + books.append(SearchResult(self, found, how_found='search_everywhere', searched=searched)) + print "* %s scatter search: %s" % (searched, books[-1]._hits) return books @@ -961,7 +1209,6 @@ class Search(IndexStore): # return None - def get_snippets(self, scoreDoc, query, field='content'): """ Returns a snippet for found scoreDoc. @@ -971,19 +1218,30 @@ class Search(IndexStore): 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 # locate content. - snippets = Snippets(stored.get('book_id')).open() + book_id = int(stored.get('book_id')) + snippets = Snippets(book_id).open() try: - text = snippets.get((int(stored.get('snippets_position')), - int(stored.get('snippets_length')))) - finally: - snippets.close() + 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) - # import pdb; pdb.set_trace() - snip = highlighter.getBestFragments(tokenStream, text, 3, "...") + 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 @@ -1003,19 +1261,34 @@ class Search(IndexStore): if terms: return JArray('object')(terms, Term) - def search_tags(self, query, filter=None, max_results=40): + def search_tags(self, query, filters=None, max_results=40, pdcounter=False): """ Search for Tag objects using query. """ - tops = self.searcher.search(query, filter, max_results) + if not pdcounter: + filters = self.chain_filters([filter, self.term_filter(Term('is_pdcounter', 'true'), inverse=True)]) + tops = self.searcher.search(query, filters, max_results) tags = [] for found in tops.scoreDocs: doc = self.searcher.doc(found.doc) - tag = catalogue.models.Tag.objects.get(id=doc.get("tag_id")) - tags.append(tag) - print "%s (%d) -> %f" % (tag, tag.id, found.score) - + is_pdcounter = doc.get('is_pdcounter') + category = doc.get('tag_category') + 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 + if not (is_pdcounter and filter(lambda t: tag.slug == t.slug, tags)): + tags.append(tag) + # print "%s (%d) -> %f" % (tag, tag.id, found.score) + print 'returning %s' % tags return tags def search_books(self, query, filter=None, max_results=10): @@ -1029,7 +1302,7 @@ class Search(IndexStore): bks.append(catalogue.models.Book.objects.get(id=doc.get("book_id"))) return bks - def create_prefix_phrase(self, toks, field): + def make_prefix_phrase(self, toks, field): q = MultiPhraseQuery() for i in range(len(toks)): t = Term(field, toks[i]) @@ -1055,7 +1328,7 @@ class Search(IndexStore): return only_term - def hint_tags(self, string, max_results=50): + def hint_tags(self, string, max_results=50, pdcounter=True, prefix=True, fuzzy=False): """ Return auto-complete hints for tags using prefix search. @@ -1064,14 +1337,17 @@ class Search(IndexStore): top = BooleanQuery() for field in ['tag_name', 'tag_name_pl']: - q = self.create_prefix_phrase(toks, field) + 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) + return self.search_tags(top, no_book_cat, max_results=max_results, pdcounter=pdcounter) - def hint_books(self, string, max_results=50): + 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. @@ -1079,7 +1355,10 @@ class Search(IndexStore): """ toks = self.get_tokens(string, field='SIMPLE') - q = self.create_prefix_phrase(toks, 'title') + 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) @@ -1089,7 +1368,7 @@ class Search(IndexStore): Chains a filter list together """ filters = filter(lambda x: x is not None, filters) - if not filters: + if not filters or filters is []: return None chf = ChainedFilter(JArray('object')(filters, Filter), op) return chf