X-Git-Url: https://git.mdrn.pl/wolnelektury.git/blobdiff_plain/3c12104d064098096eb5fe9c9ee122d0293e10f2..19320bc0fe4841c5844be9d6692f72cee937bac9:/apps/search/index.py?ds=inline diff --git a/apps/search/index.py b/apps/search/index.py index cc478ee53..a0bf71588 100644 --- a/apps/search/index.py +++ b/apps/search/index.py @@ -1,7 +1,8 @@ # -*- coding: utf-8 -*- from django.conf import settings -from lucene import SimpleFSDirectory, IndexWriter, CheckIndex, \ +from django.dispatch import Signal +from lucene import SimpleFSDirectory, NIOFSDirectory, IndexWriter, IndexReader, IndexWriterConfig, CheckIndex, \ File, Field, Integer, \ NumericField, Version, Document, JavaError, IndexSearcher, \ QueryParser, PerFieldAnalyzerWrapper, \ @@ -17,7 +18,7 @@ from lucene import SimpleFSDirectory, IndexWriter, CheckIndex, \ # KeywordAnalyzer # Initialize jvm -JVM = initVM(CLASSPATH) +JVM = initVM(CLASSPATH, maxheap=settings.JVM_MAXHEAP) import sys import os @@ -25,12 +26,16 @@ 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 +from itertools import chain import atexit import traceback - +import logging +log = logging.getLogger('search') class WLAnalyzer(PerFieldAnalyzerWrapper): def __init__(self): @@ -80,7 +85,7 @@ 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: @@ -90,6 +95,9 @@ class IndexStore(object): pass else: raise + def close(self): + self.store.close() + class IndexChecker(IndexStore): def __init__(self): @@ -109,7 +117,7 @@ class Snippets(object): """ SNIPPET_DIR = "snippets" - def __init__(self, book_id): + def __init__(self, book_id, revision=None): try: os.makedirs(os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR)) except OSError as exc: @@ -117,15 +125,32 @@ class Snippets(object): 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' - self.file = open(os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR, str(self.book_id)), mode) + + 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 @@ -154,6 +179,17 @@ class Snippets(object): """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 BaseIndex(IndexStore): """ @@ -167,11 +203,13 @@ 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): @@ -181,11 +219,15 @@ class BaseIndex(IndexStore): try: self.index.optimize() except JavaError, je: - print "Error during optimize phase, check index: %s" % je + log.error("Error during optimize phase, check index: %s" % je) self.index.close() self.index = None + index_changed.send_robust(self) + + super(BaseIndex, self).close() + def __enter__(self): self.open() return self @@ -194,6 +236,9 @@ class BaseIndex(IndexStore): self.close() +index_changed = Signal() + + class Index(BaseIndex): """ Class indexing books. @@ -201,39 +246,92 @@ class Index(BaseIndex): def __init__(self, analyzer=None): super(Index, self).__init__(analyzer) - def index_tags(self): + 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 """ - q = NumericRangeQuery.newIntRange("tag_id", 0, Integer.MAX_VALUE, True, True) - self.index.deleteDocuments(q) + remove_only = kw.get('remove_only', False) + # first, remove tags from index. + if tags: + q = BooleanQuery() + for tag in tags: + b_id_cat = BooleanQuery() - for tag in catalogue.models.Tag.objects.all(): - doc = Document() - doc.add(NumericField("tag_id", Field.Store.YES, True).setIntValue(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) + q_id = NumericRangeQuery.newIntRange("tag_id", tag.id, tag.id, True, True) + b_id_cat.add(q_id, BooleanClause.Occur.MUST) + + if isinstance(tag, PDCounterAuthor): + q_cat = TermQuery(Term('tag_category', 'pd_author')) + elif isinstance(tag, PDCounterBook): + q_cat = TermQuery(Term('tag_category', 'pd_book')) + else: + q_cat = TermQuery(Term('tag_category', tag.category)) + b_id_cat.add(q_cat, BooleanClause.Occur.MUST) + + q.add(b_id_cat, BooleanClause.Occur.SHOULD) + else: # all + q = NumericRangeQuery.newIntRange("tag_id", 0, Integer.MAX_VALUE, True, True) + self.index.deleteDocuments(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 = Document() + 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", '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) + elif isinstance(tag, PDCounterBook): + doc = Document() + doc.add(NumericField("tag_id", Field.Store.YES, True).setIntValue(int(tag.id))) + doc.add(Field("tag_name", tag.title, Field.Store.NO, Field.Index.ANALYZED)) + doc.add(Field("tag_name_pl", tag.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) + else: + doc = Document() + 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) 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): + def remove_book(self, book_or_id, remove_snippets=True): """Removes a book from search index. book - Book instance.""" - q = NumericRangeQuery.newIntRange("book_id", book.id, book.id, True, True) + if isinstance(book_or_id, catalogue.models.Book): + book_id = book_or_id.id + else: + book_id = book_or_id + + q = NumericRangeQuery.newIntRange("book_id", book_id, book_id, True, True) self.index.deleteDocuments(q) + if remove_snippets: + snippets = Snippets(book_id) + snippets.remove() + def index_book(self, book, book_info=None, overwrite=True): """ Indexes the book. @@ -241,21 +339,26 @@ class Index(BaseIndex): and calls self.index_content() to index the contents of the book. """ if overwrite: - self.remove_book(book) + # 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) + 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 f in meta_fields.values(): if isinstance(f, list) or isinstance(f, tuple): for elem in f: 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', @@ -263,12 +366,23 @@ 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'] - def extract_metadata(self, book, book_info=None): + 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]+)[\]. ]*$") + + def extract_metadata(self, book, book_info=None, dc_only=None): """ Extract metadata from book and returns a map of fields keyed by fieldname """ @@ -283,6 +397,8 @@ class Index(BaseIndex): # validator, name for field in dcparser.BookInfo.FIELDS: + if dc_only and field.name not in dc_only: + continue if hasattr(book_info, field.name): if not getattr(book_info, field.name): continue @@ -308,6 +424,15 @@ class Index(BaseIndex): fields[field.name] = Field(field.name, "%04d%02d%02d" %\ (dt.year, dt.month, dt.day), Field.Store.NO, Field.Index.NOT_ANALYZED) + # get published date + pd = None + if hasattr(book_info, 'source_name') and book_info.source_name: + match = self.published_date_re.search(book_info.source_name) + if match is not None: + pd = str(match.groups()[0]) + if not pd: pd = "" + fields["published_date"] = Field("published_date", pd, Field.Store.YES, Field.Index.NOT_ANALYZED) + return fields def add_gaps(self, fields, fieldname): @@ -340,15 +465,33 @@ class Index(BaseIndex): if master is None: return [] - def walker(node): - yield node, None - for child in list(node): - for b, e in walker(child): - yield b, e - yield None, node + def walker(node, ignore_tags=[]): + + if node.tag not in ignore_tags: + yield node, None, None + if node.text is not None: + yield None, node.text, None + for child in list(node): + for b, t, e in walker(child): + yield b, t, e + yield None, None, node + + if node.tail is not None: + yield None, node.tail, None return def fix_format(text): + # separator = [u" ", u"\t", u".", u";", u","] + if isinstance(text, list): + # need to join it first + text = filter(lambda s: s is not None, content) + text = u' '.join(text) + # for i in range(len(text)): + # if i > 0: + # if text[i][0] not in separator\ + # and text[i - 1][-1] not in separator: + # text.insert(i, u" ") + return re.sub("(?m)/$", "", text) def add_part(snippets, **fields): @@ -367,6 +510,8 @@ class Index(BaseIndex): snip_pos = snippets.add(fields["content"]) doc.add(NumericField("snippets_position", Field.Store.YES, True).setIntValue(snip_pos[0])) doc.add(NumericField("snippets_length", Field.Store.YES, True).setIntValue(snip_pos[1])) + if snippets.revision: + doc.add(NumericField("snippets_revision", Field.Store.YES, True).setIntValue(snippets.revision)) if 'fragment_anchor' in fields: doc.add(Field("fragment_anchor", fields['fragment_anchor'], @@ -401,24 +546,51 @@ 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: @@ -428,26 +600,30 @@ 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() @@ -457,7 +633,7 @@ def log_exception_wrapper(f): try: f(*a) except Exception, e: - print("Error in indexing thread: %s" % e) + log.error("Error in indexing thread: %s" % e) traceback.print_exc() raise e return _wrap @@ -473,12 +649,11 @@ 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) @@ -488,13 +663,16 @@ class ReusableIndex(Index): @staticmethod def close_reusable(): - if ReusableIndex.index is not None: + if ReusableIndex.index: ReusableIndex.index.optimize() ReusableIndex.index.close() ReusableIndex.index = None + index_changed.send_robust(None) + def close(self): - pass + if ReusableIndex.index: + ReusableIndex.index.commit() class JoinSearch(object): @@ -541,46 +719,71 @@ class JoinSearch(object): class SearchResult(object): - def __init__(self, searcher, scoreDocs, score=None, how_found=None, snippets=None): + 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 = None # processed 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 and [snippets] or []}) + 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 if other.score > self.score: - self.score = other.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) - def process_hits(self): + @property + def hits(self): + if self._processed_hits is not None: + return self._processed_hits + POSITION = 0 FRAGMENT = 1 POSITION_INDEX = 1 @@ -590,7 +793,10 @@ class SearchResult(object): # 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], @@ -598,15 +804,20 @@ class SearchResult(object): 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() + 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 = {} @@ -627,19 +838,39 @@ class SearchResult(object): hits = sections.values() for f in frags: - frag = catalogue.models.Fragment.objects.get(anchor=f[FRAGMENT]) + 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[OTHER]) hits.append(m) hits.sort(lambda a, b: cmp(a['score'], b['score']), reverse=True) - self.hits = hits + self._processed_hits = hits - return self + return hits def __unicode__(self): return u'SearchResult(book_id=%d, score=%d)' % (self.book_id, self.score) @@ -651,13 +882,17 @@ class SearchResult(object): for r in rl: if r.book_id in books: books[r.book_id].merge(r) - #print(u"already have one with score %f, and this one has score %f" % (books[book.id][0], found.score)) else: books[r.book_id] = r 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): @@ -763,12 +998,31 @@ class Search(IndexStore): IndexStore.__init__(self) self.analyzer = WLAnalyzer() # PolishAnalyzer(Version.LUCENE_34) # self.analyzer = WLAnalyzer() - self.searcher = IndexSearcher(self.store, True) + 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) @@ -787,11 +1041,14 @@ 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): @@ -803,9 +1060,14 @@ 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): + @staticmethod + def fuzziness(fuzzy): """Helper method to sanitize fuzziness""" if not fuzzy: return None @@ -826,7 +1088,6 @@ class Search(IndexStore): fuzzterms = [] while True: - # print("fuzz %s" % unicode(fuzzterm.term()).encode('utf-8')) ft = fuzzterm.term() if ft: fuzzterms.append(ft) @@ -843,7 +1104,8 @@ class Search(IndexStore): phrase.add(term) return phrase - def make_term_query(self, tokens, field='content', modal=BooleanClause.Occur.SHOULD, fuzzy=False): + @staticmethod + def make_term_query(tokens, field='content', modal=BooleanClause.Occur.SHOULD, fuzzy=False): """ Returns term queries joined by boolean query. modal - applies to boolean query @@ -859,9 +1121,40 @@ 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): """ @@ -884,7 +1177,7 @@ 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): @@ -910,13 +1203,13 @@ 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_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']] @@ -932,16 +1225,17 @@ 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 @@ -951,8 +1245,8 @@ class Search(IndexStore): # content only query : themes x content q = BooleanQuery() - tokens_pl = self.get_tokens(searched, field='content') - tokens = self.get_tokens(searched, field='SIMPLE') + 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']) != []: @@ -964,8 +1258,7 @@ class Search(IndexStore): topDocs = self.searcher.search(q, only_in, max_results) for found in topDocs.scoreDocs: - books.append(SearchResult(self.searcher, found)) - print "* %s theme x content: %s" % (searched, books[-1]._hits) + books.append(SearchResult(self, found, how_found='search_everywhere_themesXcontent', searched=searched)) # query themes/content x author/title/tags q = BooleanQuery() @@ -983,8 +1276,7 @@ class Search(IndexStore): topDocs = self.searcher.search(q, only_in, max_results) for found in topDocs.scoreDocs: - books.append(SearchResult(self.searcher, found)) - print "* %s scatter search: %s" % (searched, books[-1]._hits) + books.append(SearchResult(self, found, how_found='search_everywhere', searched=searched)) return books @@ -1039,18 +1331,40 @@ 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 + revision = stored.get('snippets_revision') + if revision: revision = int(revision) + # locate content. - snippets = Snippets(stored.get('book_id')).open() + book_id = int(stored.get('book_id')) + snippets = Snippets(book_id, revision=revision) + try: - text = snippets.get((int(stored.get('snippets_position')), - int(stored.get('snippets_length')))) - finally: - snippets.close() + 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, "...") + 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 @@ -1070,33 +1384,56 @@ 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, filt=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([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) - 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') + 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, filter=None, max_results=10): + def search_books(self, query, filt=None, max_results=10): """ Searches for Book objects using query """ bks = [] - tops = self.searcher.search(query, filter, max_results) + tops = self.searcher.search(query, filt, max_results) for found in tops.scoreDocs: doc = self.searcher.doc(found.doc) - bks.append(catalogue.models.Book.objects.get(id=doc.get("book_id"))) + try: + bks.append(catalogue.models.Book.objects.get(id=doc.get("book_id"))) + except catalogue.models.Book.DoesNotExist: pass 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]) @@ -1122,7 +1459,7 @@ 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. @@ -1131,14 +1468,17 @@ 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. @@ -1146,7 +1486,10 @@ 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) @@ -1156,7 +1499,7 @@ 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