basic fragment choosing
[wolnelektury.git] / apps / search / index.py
index 25c16a9..9972c2c 100644 (file)
@@ -6,10 +6,10 @@ from lucene import SimpleFSDirectory, IndexWriter, CheckIndex, \
     NumericField, Version, Document, JavaError, IndexSearcher, \
     QueryParser, PerFieldAnalyzerWrapper, \
     SimpleAnalyzer, PolishAnalyzer, ArrayList, \
     NumericField, Version, Document, JavaError, IndexSearcher, \
     QueryParser, PerFieldAnalyzerWrapper, \
     SimpleAnalyzer, PolishAnalyzer, ArrayList, \
-    KeywordAnalyzer, NumericRangeQuery, BooleanQuery, \
-    BlockJoinQuery, BlockJoinCollector, TermsFilter, \
+    KeywordAnalyzer, NumericRangeQuery, NumericRangeFilter, BooleanQuery, \
+    BlockJoinQuery, BlockJoinCollector, Filter, TermsFilter, ChainedFilter, \
     HashSet, BooleanClause, Term, CharTermAttribute, \
     HashSet, BooleanClause, Term, CharTermAttribute, \
-    PhraseQuery, MultiPhraseQuery, StringReader, TermQuery, BlockJoinQuery, \
+    PhraseQuery, MultiPhraseQuery, StringReader, TermQuery, \
     FuzzyQuery, FuzzyTermEnum, PrefixTermEnum, Sort, Integer, \
     SimpleHTMLFormatter, Highlighter, QueryScorer, TokenSources, TextFragment, \
     BooleanFilter, TermsFilter, FilterClause, QueryWrapperFilter, \
     FuzzyQuery, FuzzyTermEnum, PrefixTermEnum, Sort, Integer, \
     SimpleHTMLFormatter, Highlighter, QueryScorer, TokenSources, TextFragment, \
     BooleanFilter, TermsFilter, FilterClause, QueryWrapperFilter, \
@@ -25,7 +25,8 @@ import re
 import errno
 from librarian import dcparser
 from librarian.parser import WLDocument
 import errno
 from librarian import dcparser
 from librarian.parser import WLDocument
-from catalogue import models
+from lxml import etree
+import catalogue.models
 from multiprocessing.pool import ThreadPool
 from threading import current_thread
 import atexit
 from multiprocessing.pool import ThreadPool
 from threading import current_thread
 import atexit
@@ -35,11 +36,9 @@ import traceback
 class WLAnalyzer(PerFieldAnalyzerWrapper):
     def __init__(self):
         polish = PolishAnalyzer(Version.LUCENE_34)
 class WLAnalyzer(PerFieldAnalyzerWrapper):
     def __init__(self):
         polish = PolishAnalyzer(Version.LUCENE_34)
-        polish_gap = PolishAnalyzer(Version.LUCENE_34)
         #        polish_gap.setPositionIncrementGap(999)
 
         simple = SimpleAnalyzer(Version.LUCENE_34)
         #        polish_gap.setPositionIncrementGap(999)
 
         simple = SimpleAnalyzer(Version.LUCENE_34)
-        simple_gap = SimpleAnalyzer(Version.LUCENE_34)
         #        simple_gap.setPositionIncrementGap(999)
 
         keyword = KeywordAnalyzer(Version.LUCENE_34)
         #        simple_gap.setPositionIncrementGap(999)
 
         keyword = KeywordAnalyzer(Version.LUCENE_34)
@@ -48,21 +47,26 @@ class WLAnalyzer(PerFieldAnalyzerWrapper):
 
         PerFieldAnalyzerWrapper.__init__(self, polish)
 
 
         PerFieldAnalyzerWrapper.__init__(self, polish)
 
-        self.addAnalyzer("tags", simple_gap)
+        self.addAnalyzer("tags", simple)
         self.addAnalyzer("technical_editors", simple)
         self.addAnalyzer("editors", simple)
         self.addAnalyzer("url", keyword)
         self.addAnalyzer("source_url", keyword)
         self.addAnalyzer("source_name", simple)
         self.addAnalyzer("publisher", simple)
         self.addAnalyzer("technical_editors", simple)
         self.addAnalyzer("editors", simple)
         self.addAnalyzer("url", keyword)
         self.addAnalyzer("source_url", keyword)
         self.addAnalyzer("source_name", simple)
         self.addAnalyzer("publisher", simple)
-        self.addAnalyzer("author", simple)
+        self.addAnalyzer("authors", simple)
+        self.addAnalyzer("title", simple)
+
         self.addAnalyzer("is_book", keyword)
         self.addAnalyzer("is_book", keyword)
+        # shouldn't the title have two forms? _pl and simple?
+
+        self.addAnalyzer("themes", simple)
+        self.addAnalyzer("themes_pl", polish)
 
 
-        self.addAnalyzer("themes", simple_gap)
-        self.addAnalyzer("themes_pl", polish_gap)
+        self.addAnalyzer("tag_name", simple)
+        self.addAnalyzer("tag_name_pl", polish)
 
 
-        self.addAnalyzer("tag_name", simple_gap)
-        self.addAnalyzer("tag_name_pl", polish_gap)
+        self.addAnalyzer("translators", simple)
 
         self.addAnalyzer("KEYWORD", keyword)
         self.addAnalyzer("SIMPLE", simple)
 
         self.addAnalyzer("KEYWORD", keyword)
         self.addAnalyzer("SIMPLE", simple)
@@ -70,6 +74,11 @@ class WLAnalyzer(PerFieldAnalyzerWrapper):
 
 
 class IndexStore(object):
 
 
 class IndexStore(object):
+    """
+    Provides access to search index.
+
+    self.store - lucene index directory
+    """
     def __init__(self):
         self.make_index_dir()
         self.store = SimpleFSDirectory(File(settings.SEARCH_INDEX))
     def __init__(self):
         self.make_index_dir()
         self.store = SimpleFSDirectory(File(settings.SEARCH_INDEX))
@@ -94,6 +103,11 @@ class IndexChecker(IndexStore):
 
 
 class Snippets(object):
 
 
 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):
     SNIPPET_DIR = "snippets"
 
     def __init__(self, book_id):
@@ -107,6 +121,9 @@ class Snippets(object):
         self.file = None
 
     def open(self, mode='r'):
         self.file = None
 
     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 not 'b' in mode:
             mode += 'b'
         self.file = open(os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR, str(self.book_id)), mode)
@@ -114,23 +131,38 @@ class Snippets(object):
         return self
 
     def add(self, snippet):
         return self
 
     def add(self, snippet):
-        l = len(snippet)
-        self.file.write(snippet.encode('utf-8'))
+        """
+        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):
         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)
         self.file.seek(pos[0], 0)
-        return self.read(pos[1]).decode('utf-8')
+        txt = self.file.read(pos[1]).decode('utf-8')
+        return txt
 
     def close(self):
 
     def close(self):
+        """Close snippet file"""
         self.file.close()
 
 
         self.file.close()
 
 
-class Index(IndexStore):
+class BaseIndex(IndexStore):
+    """
+    Base index class.
+    Provides basic operations on index: opening, closing, optimizing.
+    """
     def __init__(self, analyzer=None):
     def __init__(self, analyzer=None):
-        IndexStore.__init__(self)
+        super(BaseIndex, self).__init__()
         self.index = None
         if not analyzer:
             analyzer = WLAnalyzer()
         self.index = None
         if not analyzer:
             analyzer = WLAnalyzer()
@@ -155,39 +187,76 @@ class Index(IndexStore):
         self.index.close()
         self.index = None
 
         self.index.close()
         self.index = None
 
+    def __enter__(self):
+        self.open()
+        return self
+
+    def __exit__(self, type, value, tb):
+        self.close()
+
+
+class Index(BaseIndex):
+    """
+    Class indexing books.
+    """
+    def __init__(self, analyzer=None):
+        super(Index, self).__init__(analyzer)
+
     def index_tags(self):
     def index_tags(self):
+        """
+        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)
 
         q = NumericRangeQuery.newIntRange("tag_id", 0, Integer.MAX_VALUE, True, True)
         self.index.deleteDocuments(q)
 
-        for tag in models.Tag.objects.all():
+        for tag in catalogue.models.Tag.objects.all():
             doc = Document()
             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)
 
             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(int(book.id)))
+        if book.parent is not None:
+            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):
+        """Removes a book from search index.
+        book - Book instance."""
         q = NumericRangeQuery.newIntRange("book_id", book.id, book.id, True, True)
         self.index.deleteDocuments(q)
 
         q = NumericRangeQuery.newIntRange("book_id", book.id, book.id, True, True)
         self.index.deleteDocuments(q)
 
-    def index_book(self, book, overwrite=True):
+    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:
             self.remove_book(book)
 
         book_doc = self.create_book_doc(book)
         if overwrite:
             self.remove_book(book)
 
         book_doc = self.create_book_doc(book)
-        meta_fields = self.extract_metadata(book)
+        meta_fields = self.extract_metadata(book, book_info)
         for f in meta_fields.values():
         for f in meta_fields.values():
-            if isinstance(f, list):
+            if isinstance(f, list) or isinstance(f, tuple):
                 for elem in f:
                     book_doc.add(elem)
             else:
                 book_doc.add(f)
                 for elem in f:
                     book_doc.add(elem)
             else:
                 book_doc.add(f)
-                
+
         self.index.addDocument(book_doc)
         del book_doc
 
         self.index.addDocument(book_doc)
         del book_doc
 
-        self.index_content(book, book_fields=[meta_fields['title'], meta_fields['author']])
+        self.index_content(book, book_fields=[meta_fields['title'], meta_fields['authors']])
 
     master_tags = [
         'opowiadanie',
 
     master_tags = [
         'opowiadanie',
@@ -200,24 +269,17 @@ class Index(IndexStore):
 
     skip_header_tags = ['autor_utworu', 'nazwa_utworu', 'dzielo_nadrzedne']
 
 
     skip_header_tags = ['autor_utworu', 'nazwa_utworu', 'dzielo_nadrzedne']
 
-    def create_book_doc(self, book):
+    def extract_metadata(self, book, book_info=None):
         """
         """
-        Create a lucene document connected to the book
+        Extract metadata from book and returns a map of fields keyed by fieldname
         """
         """
-        doc = Document()
-        doc.add(NumericField("book_id", Field.Store.YES, True).setIntValue(book.id))
-        if book.parent is not None:
-            doc.add(NumericField("parent_id", Field.Store.YES, True).setIntValue(book.parent.id))
-        return doc
-
-    def extract_metadata(self, book):
         fields = {}
         fields = {}
-        book_info = dcparser.parse(book.xml_file)
 
 
-        print("extract metadata for book %s id=%d, thread%d" % (book.slug, book.id, current_thread().ident))
+        if book_info is None:
+            book_info = dcparser.parse(open(book.xml_file.path))
 
         fields['slug'] = Field("slug", book.slug, Field.Store.NO, Field.Index.ANALYZED_NO_NORMS)
 
         fields['slug'] = Field("slug", book.slug, Field.Store.NO, Field.Index.ANALYZED_NO_NORMS)
-        fields['tags'] = [Field("tags", t.name, Field.Store.NO, Field.Index.ANALYZED) for t in book.tags]
+        fields['tags'] = self.add_gaps([Field("tags", t.name, Field.Store.NO, Field.Index.ANALYZED) for t in book.tags], 'tags')
         fields['is_book'] = Field("is_book", 'true', Field.Store.NO, Field.Index.NOT_ANALYZED)
 
         # validator, name
         fields['is_book'] = Field("is_book", 'true', Field.Store.NO, Field.Index.NOT_ANALYZED)
 
         # validator, name
@@ -246,15 +308,33 @@ class Index(IndexStore):
                     dt = getattr(book_info, field.name)
                     fields[field.name] = Field(field.name, "%04d%02d%02d" %\
                                                (dt.year, dt.month, dt.day), Field.Store.NO, Field.Index.NOT_ANALYZED)
                     dt = getattr(book_info, field.name)
                     fields[field.name] = Field(field.name, "%04d%02d%02d" %\
                                                (dt.year, dt.month, dt.day), Field.Store.NO, Field.Index.NOT_ANALYZED)
+
         return fields
 
         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):
     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=[]):
         for master in root.iter():
             if master.tag in self.master_tags:
                 return master
 
     def index_content(self, book, book_fields=[]):
-        wld = WLDocument.from_file(book.xml_file.path)
+        """
+        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)
         root = wld.edoc.getroot()
 
         master = self.get_master(root)
@@ -270,7 +350,7 @@ class Index(IndexStore):
             return
 
         def fix_format(text):
             return
 
         def fix_format(text):
-            return re.sub("/$", "", text, flags=re.M)
+            return re.sub("(?m)/$", "", text)
 
         def add_part(snippets, **fields):
             doc = self.create_book_doc(book)
 
         def add_part(snippets, **fields):
             doc = self.create_book_doc(book)
@@ -285,21 +365,36 @@ class Index(IndexStore):
             doc.add(Field('content', fields["content"], Field.Store.NO, Field.Index.ANALYZED, \
                           Field.TermVector.WITH_POSITIONS_OFFSETS))
 
             doc.add(Field('content', fields["content"], Field.Store.NO, Field.Index.ANALYZED, \
                           Field.TermVector.WITH_POSITIONS_OFFSETS))
 
-            snip_pos = snippets.add(content)
+            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 'fragment_anchor' in fields:
                 doc.add(Field("fragment_anchor", fields['fragment_anchor'],
                               Field.Store.YES, Field.Index.NOT_ANALYZED))
             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 'fragment_anchor' in fields:
                 doc.add(Field("fragment_anchor", fields['fragment_anchor'],
                               Field.Store.YES, Field.Index.NOT_ANALYZED))
-                
+
             if 'themes' in fields:
             if 'themes' in fields:
-                for theme in fields['themes']:
-                    doc.add(Field("themes", theme, Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS))
-                    doc.add(Field("themes_pl", theme, Field.Store.NO, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS))
+                themes, themes_pl = zip(*[
+                    (Field("themes", theme, Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS),
+                     Field("themes_pl", theme, Field.Store.NO, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS))
+                     for theme in fields['themes']])
+
+                themes = self.add_gaps(themes, 'themes')
+                themes_pl = self.add_gaps(themes_pl, 'themes_pl')
+
+                for t in themes:
+                    doc.add(t)
+                for t in themes_pl:
+                    doc.add(t)
 
             return doc
 
 
             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:
         fragments = {}
         snippets = Snippets(book.id).open('w')
         try:
@@ -307,28 +402,31 @@ class Index(IndexStore):
 
                 if header.tag in self.skip_header_tags:
                     continue
 
                 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)
+                # section content
+                content = []
 
 
-                for start, end in walker(master):
+                for start, end in walker(header):
+                        # 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}
                     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)
+
                     elif start is not None and start.tag == 'motyw':
                         fid = start.attrib['id'][1:]
                     elif start is not None and start.tag == 'motyw':
                         fid = start.attrib['id'][1:]
-                        fragments[fid]['themes'].append(start.text)
-                        fragments[fid]['content'].append(start.tail)
+                        if start.text is not None:
+                            fragments[fid]['themes'] += map(str.strip, map(give_me_utf8, start.text.split(',')))
+
                     elif start is not None and start.tag == 'end':
                         fid = start.attrib['id'][1:]
                         if fid not in fragments:
                             continue  # a broken <end> node, skip it
                     elif start is not None and start.tag == 'end':
                         fid = start.attrib['id'][1:]
                         if fid not in fragments:
                             continue  # a broken <end> node, skip it
+                                      #                        import pdb; pdb.set_trace()
                         frag = fragments[fid]
                         frag = fragments[fid]
+                        if frag['themes'] == []:
+                            continue  # empty themes list.
                         del fragments[fid]
 
                         def jstr(l):
                         del fragments[fid]
 
                         def jstr(l):
@@ -345,22 +443,25 @@ class Index(IndexStore):
                                        themes=frag['themes'])
 
                         self.index.addDocument(doc)
                                        themes=frag['themes'])
 
                         self.index.addDocument(doc)
+
+                        # Collect content.
                     elif start is not None:
                         for frag in fragments.values():
                             frag['content'].append(start.text)
                     elif start is not None:
                         for frag in fragments.values():
                             frag['content'].append(start.text)
+                        content.append(start.text)
                     elif end is not None:
                         for frag in fragments.values():
                             frag['content'].append(end.tail)
                     elif end is not None:
                         for frag in fragments.values():
                             frag['content'].append(end.tail)
-        finally:
-            snippets.close()
+                        content.append(end.tail)
 
 
+                        # in the end, add a section text.
+                doc = add_part(snippets, header_index=position, header_type=header.tag,
+                               content=fix_format(u' '.join(filter(lambda s: s is not None, content))))
 
 
-    def __enter__(self):
-        self.open()
-        return self
+                self.index.addDocument(doc)
 
 
-    def __exit__(self, type, value, tb):
-        self.close()
+        finally:
+            snippets.close()
 
 
 def log_exception_wrapper(f):
 
 
 def log_exception_wrapper(f):
@@ -383,35 +484,23 @@ class ReusableIndex(Index):
     if you cannot rely on atexit, use ReusableIndex.close_reusable() yourself.
     """
     index = None
     if you cannot rely on atexit, use ReusableIndex.close_reusable() yourself.
     """
     index = None
-    pool = None
-    pool_jobs = None
 
     def open(self, analyzer=None, threads=4):
         if ReusableIndex.index is not None:
             self.index = ReusableIndex.index
         else:
             print("opening index")
 
     def open(self, analyzer=None, threads=4):
         if ReusableIndex.index is not None:
             self.index = ReusableIndex.index
         else:
             print("opening index")
-            ReusableIndex.pool = ThreadPool(threads, initializer=lambda: JVM.attachCurrentThread() )
-            ReusableIndex.pool_jobs = []
             Index.open(self, analyzer)
             ReusableIndex.index = self.index
             atexit.register(ReusableIndex.close_reusable)
 
             Index.open(self, analyzer)
             ReusableIndex.index = self.index
             atexit.register(ReusableIndex.close_reusable)
 
-    def index_book(self, *args, **kw):
-        job = ReusableIndex.pool.apply_async(log_exception_wrapper(Index.index_book), (self,) + args, kw)
-        ReusableIndex.pool_jobs.append(job)
+    def index_book(self, *args, **kw):
+        job = ReusableIndex.pool.apply_async(log_exception_wrapper(Index.index_book), (self,) + args, kw)
+        ReusableIndex.pool_jobs.append(job)
 
     @staticmethod
     def close_reusable():
         if ReusableIndex.index is not None:
 
     @staticmethod
     def close_reusable():
         if ReusableIndex.index is not None:
-            print("wait for indexing to finish")
-            for job in ReusableIndex.pool_jobs:
-                job.get()
-                sys.stdout.write('.')
-                sys.stdout.flush()
-            print("done.")
-            ReusableIndex.pool.close()
-
             ReusableIndex.index.optimize()
             ReusableIndex.index.close()
             ReusableIndex.index = None
             ReusableIndex.index.optimize()
             ReusableIndex.index.close()
             ReusableIndex.index = None
@@ -420,20 +509,13 @@ class ReusableIndex(Index):
         pass
 
 
         pass
 
 
-class Search(IndexStore):
-    def __init__(self, default_field="content"):
-        IndexStore.__init__(self)
-        self.analyzer = WLAnalyzer() #PolishAnalyzer(Version.LUCENE_34)
-        ## self.analyzer = WLAnalyzer()
-        self.searcher = IndexSearcher(self.store, True)
-        self.parser = QueryParser(Version.LUCENE_34, default_field,
-                                  self.analyzer)
-
-        self.parent_filter = TermsFilter()
-        self.parent_filter.addTerm(Term("is_book", "true"))
-
-    def query(self, query):
-        return self.parser.parse(query)
+class JoinSearch(object):
+    """
+    This mixin could be used to handle block join queries.
+    (currently unused)
+    """
+    def __init__(self, *args, **kw):
+        super(JoinSearch, self).__init__(*args, **kw)
 
     def wrapjoins(self, query, fields=[]):
         """
 
     def wrapjoins(self, query, fields=[]):
         """
@@ -458,28 +540,6 @@ class Search(IndexStore):
             return BlockJoinQuery(query, self.parent_filter,
                                   BlockJoinQuery.ScoreMode.Total)
 
             return BlockJoinQuery(query, self.parent_filter,
                                   BlockJoinQuery.ScoreMode.Total)
 
-    def simple_search(self, query, max_results=50):
-        """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(models.Book.objects.get(id=doc.get("book_id")))
-        return (bks, tops.totalHits)
-
-    def search(self, query, max_results=50):
-        query = self.query(query)
-        query = self.wrapjoins(query, ["content", "themes"])
-
-        tops = self.searcher.search(query, max_results)
-        bks = []
-        for found in tops.scoreDocs:
-            doc = self.searcher.doc(found.doc)
-            bks.append(models.Book.objects.get(id=doc.get("book_id")))
-        return (bks, tops.totalHits)
-
     def bsearch(self, query, max_results=50):
         q = self.query(query)
         bjq = BlockJoinQuery(q, self.parent_filter, BlockJoinQuery.ScoreMode.Avg)
     def bsearch(self, query, max_results=50):
         q = self.query(query)
         bjq = BlockJoinQuery(q, self.parent_filter, BlockJoinQuery.ScoreMode.Avg)
@@ -488,84 +548,144 @@ class Search(IndexStore):
         bks = []
         for found in tops.scoreDocs:
             doc = self.searcher.doc(found.doc)
         bks = []
         for found in tops.scoreDocs:
             doc = self.searcher.doc(found.doc)
-            bks.append(models.Book.objects.get(id=doc.get("book_id")))
+            bks.append(catalogue.models.Book.objects.get(id=doc.get("book_id")))
         return (bks, tops.totalHits)
 
         return (bks, tops.totalHits)
 
-# TokenStream tokenStream = analyzer.tokenStream(fieldName, reader);
-# OffsetAttribute offsetAttribute = tokenStream.getAttribute(OffsetAttribute.class);
-# CharTermAttribute charTermAttribute = tokenStream.getAttribute(CharTermAttribute.class);
-
-# while (tokenStream.incrementToken()) {
-#     int startOffset = offsetAttribute.startOffset();
-#     int endOffset = offsetAttribute.endOffset();
-#     String term = charTermAttribute.toString();
-# }
-
 
 class SearchResult(object):
 
 class SearchResult(object):
-    def __init__(self, searcher, scoreDocs, score=None, how_found=None, snippets_cb=None):
+    def __init__(self, searcher, scoreDocs, score=None, how_found=None, snippets=None, searched=None, tokens_cache=None):
+        if tokens_cache is None: tokens_cache = {}
+            
         if score:
         if score:
-            self.score = score
+            self._score = score
         else:
         else:
-            self.score = scoreDocs.score
+            self._score = scoreDocs.score
+            
+        self.boost = 1.0
 
 
-        self.hits = []
+        self._hits = []
+        self.hits = None  # processed hits
 
         stored = searcher.doc(scoreDocs.doc)
         self.book_id = int(stored.get("book_id"))
 
         header_type = stored.get("header_type")
 
         stored = searcher.doc(scoreDocs.doc)
         self.book_id = int(stored.get("book_id"))
 
         header_type = stored.get("header_type")
+        if not header_type:
+            return
+
         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
-        stored = searcher.doc(scoreDocs.doc)
-        self.book_id = int(stored.get("book_id"))
 
         fragment = stored.get("fragment_anchor")
 
 
         fragment = stored.get("fragment_anchor")
 
-        hit = (sec + (header_span,), fragment, scoreDocs.score, {'how_found': how_found, 'snippets_cb': snippets_cb})
+        if snippets:
+            snippets = snippets.replace("/\n", "\n")
+        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.searcher = searcher
+        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))
 
     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
         return self
 
         if other.score > self.score:
             self.score = other.score
         return self
 
-    def add_snippets(self, snippets):
-        self.snippets += snippets
-        return self
-
     def get_book(self):
     def get_book(self):
-        return models.Book.objects.get(id=self.book_id)
+        return catalogue.models.Book.objects.get(id=self.book_id)
 
     book = property(get_book)
 
 
     book = property(get_book)
 
-    def get_parts(self):
-        book = self.book
-
-        def sections_covered(results):
-            frags = filter(lambda r: r[1] is not None, results)
-            sect = filter(lambda r: r[1] is None, results)
-            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],
-                frags)), sect)
-            print "filtered, non overlapped sections: %s" % sect
-            return frags + sect
-            
-            
-        parts = [{"header": s[0], "position": s[1], '_score_key': s} for s in self.sections] \
-            + [{"fragment": book.fragments.get(anchor=f), '_score_key':f} for f in self.fragments]
+    def process_hits(self):
+        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[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 = {}
 
 
-        parts.sort(lambda a, b: cmp(self.scores[a['_score_key']], self.scores[b['_score_key']]))
-        print("bookid: %d parts: %s" % (self.book_id, parts))
-        return parts
+        for s in sect:
+            si = s[POSITION][POSITION_INDEX]
+            # skip existing
+            if si in sections:
+                if sections[si]['score'] >= s[SCORE]:
+                    continue
 
 
-    parts = property(get_parts)
+            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])
+            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.searcher.get_tokens(self.searched, 'POLISH', tokens_cache=self.tokens_cache)
+                for theme in themes:
+                    name_tokens = self.searcher.get_tokens(theme.name, 'POLISH')
+                    for t in tokens:
+                        if name_tokens.index(t):
+                            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.hits = hits
 
 
+        return self
 
     def __unicode__(self):
         return u'SearchResult(book_id=%d, score=%d)' % (self.book_id, self.score)
 
     def __unicode__(self):
         return u'SearchResult(book_id=%d, score=%d)' % (self.book_id, self.score)
@@ -586,13 +706,141 @@ class SearchResult(object):
         return cmp(self.score, other.score)
 
 
         return cmp(self.score, other.score)
 
 
-class MultiSearch(Search):
-    """Class capable of IMDb-like searching"""
-    def get_tokens(self, searched, field='content'):
+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(IndexStore):
+    """
+    Search facilities.
+    """
+    def __init__(self, default_field="content"):
+        IndexStore.__init__(self)
+        self.analyzer = WLAnalyzer()  # PolishAnalyzer(Version.LUCENE_34)
+        # self.analyzer = WLAnalyzer()
+        self.searcher = IndexSearcher(self.store, True)
+        self.parser = QueryParser(Version.LUCENE_34, default_field,
+                                  self.analyzer)
+
+        self.parent_filter = TermsFilter()
+        self.parent_filter.addTerm(Term("is_book", "true"))
+
+    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='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)
         """
         """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):
         if isinstance(searched, str) or isinstance(searched, unicode):
             searched = StringReader(searched)
         elif isinstance(searched, list):
@@ -604,9 +852,14 @@ class MultiSearch(Search):
         while tokens.incrementToken():
             cta = tokens.getAttribute(CharTermAttribute.class_)
             toks.append(cta.toString())
         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):
         return toks
 
     def fuzziness(self, fuzzy):
+        """Helper method to sanitize fuzziness"""
         if not fuzzy:
             return None
         if isinstance(fuzzy, float) and fuzzy > 0.0 and fuzzy <= 1.0:
         if not fuzzy:
             return None
         if isinstance(fuzzy, float) and fuzzy > 0.0 and fuzzy <= 1.0:
@@ -615,6 +868,9 @@ class MultiSearch(Search):
             return 0.5
 
     def make_phrase(self, tokens, field='content', slop=2, fuzzy=False):
             return 0.5
 
     def make_phrase(self, tokens, field='content', slop=2, fuzzy=False):
+        """
+        Return a PhraseQuery with a series of tokens.
+        """
         if fuzzy:
             phrase = MultiPhraseQuery()
             for t in tokens:
         if fuzzy:
             phrase = MultiPhraseQuery()
             for t in tokens:
@@ -641,6 +897,11 @@ class MultiSearch(Search):
         return phrase
 
     def make_term_query(self, tokens, field='content', modal=BooleanClause.Occur.SHOULD, fuzzy=False):
         return phrase
 
     def make_term_query(self, tokens, field='content', modal=BooleanClause.Occur.SHOULD, 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)
         q = BooleanQuery()
         for t in tokens:
             term = Term(field, t)
@@ -651,85 +912,177 @@ class MultiSearch(Search):
             q.add(BooleanClause(term, modal))
         return q
 
             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):
+        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)
+        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.searcher, found) 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):
+        if filters is None: filters = []
+        if tokens_cache is None: tokens_cache = {}
 
 
-    def search_perfect_book(self, searched, max_results=20, fuzzy=False):
-        qrys = [self.make_phrase(self.get_tokens(searched, field=fld), field=fld, fuzzy=fuzzy) for fld in ['author', 'title']]
+        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.searcher, found, searched=searched, tokens_cache=tokens_cache) 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:
 
         books = []
         for q in qrys:
-            top = self.searcher.search(q, max_results)
+            top = self.searcher.search(q,
+                self.chain_filters([only_in, self.term_filter(Term('is_book', 'true'))]),
+                max_results)
             for found in top.scoreDocs:
             for found in top.scoreDocs:
-                books.append(SearchResult(self.searcher, found))
+                books.append(SearchResult(self.searcher, found, how_found="search_perfect_book"))
         return books
 
         return books
 
-    def search_perfect_parts(self, searched, max_results=20, fuzzy=False):
+    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.searcher, 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 ['content']]
 
         qrys = [self.make_phrase(self.get_tokens(searched), field=fld, fuzzy=fuzzy) for fld in ['content']]
 
+        flt = None
+        if hint:
+            flt = hint.part_filter()
+
         books = []
         for q in qrys:
         books = []
         for q in qrys:
-            top = self.searcher.search(q, max_results)
+            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:
             for found in top.scoreDocs:
-                books.append(SearchResult(self.searcher, found).add_snippets(self.get_snippets(found, q)))
+                books.append(SearchResult(self.searcher, found, snippets=self.get_snippets(found, q), how_found='search_perfect_parts'))
 
         return books
 
 
         return books
 
-    def search_everywhere(self, searched, max_results=20, fuzzy=False):
+    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 = []
         books = []
+        only_in = None
+
+        if hint:
+            only_in = hint.part_filter()
 
         # content only query : themes x content
         q = BooleanQuery()
 
 
         # content only query : themes x content
         q = BooleanQuery()
 
-        tokens = self.get_tokens(searched)
-        q.add(BooleanClause(self.make_term_query(tokens, field='themes', fuzzy=fuzzy), BooleanClause.Occur.MUST))
-        q.add(BooleanClause(self.make_term_query(tokens, field='content', fuzzy=fuzzy), BooleanClause.Occur.SHOULD))
+        tokens_pl = self.get_tokens(searched, field='content', cached=tokens_cache)
+        tokens = self.get_tokens(searched, field='SIMPLE', cached=tokens_cache)
 
 
-        topDocs = self.searcher.search(q, max_results)
-        for found in topDocs.scoreDocs:
-            books.append(SearchResult(self.searcher, found))
+        # 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='content',
+                                                 fuzzy=fuzzy), BooleanClause.Occur.SHOULD))
 
 
-        # joined query themes/content x author/title/epochs/genres/kinds
-        # q = BooleanQuery()
-        # in_meta = BooleanQuery()
-        # in_content = BooleanQuery()
+        topDocs = self.searcher.search(q, only_in, max_results)
+        for found in topDocs.scoreDocs:
+            books.append(SearchResult(self.searcher, found, how_found='search_everywhere_themesXcontent'))
+            print "* %s theme x content: %s" % (searched, books[-1]._hits)
 
 
-        # for fld in ['themes', 'content']:
-        #     in_content.add(BooleanClause(self.make_term_query(tokens, field=fld, fuzzy=False), BooleanClause.Occur.SHOULD))
+        # query themes/content x author/title/tags
+        q = BooleanQuery()
+        in_content = BooleanQuery()
+        in_meta = BooleanQuery()
 
 
-        # in_meta.add(BooleanClause(self.make_term_query(
-        #     self.get_tokens(searched, field='author'), field='author', fuzzy=fuzzy), BooleanClause.Occur.SHOULD))
+        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 ['title', 'epochs', 'genres', 'kinds']:
-        #     in_meta.add(BooleanClause(self.make_term_query(tokens, field=fld, fuzzy=fuzzy), 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_meta, BooleanClause.Occur.MUST))
-        # in_content_join = self.content_query(in_content)
-        # q.add(BooleanClause(in_content_join, BooleanClause.Occur.MUST))
-        # #        import pdb; pdb.set_trace()
-        # collector = BlockJoinCollector(Sort.RELEVANCE, 100, True, True)
+        q.add(BooleanClause(in_content, BooleanClause.Occur.MUST))
+        q.add(BooleanClause(in_meta, BooleanClause.Occur.SHOULD))
 
 
-        # self.searcher.search(q, collector)
+        topDocs = self.searcher.search(q, only_in, max_results)
+        for found in topDocs.scoreDocs:
+            books.append(SearchResult(self.searcher, found, how_found='search_everywhere'))
+            print "* %s scatter search: %s" % (searched, books[-1]._hits)
 
 
-        # top_groups = collector.getTopGroups(in_content_join, Sort.RELEVANCE, 0, max_results, 0, True)
-        # if top_groups:
-        #     for grp in top_groups.groups:
-        #         for part in grp.scoreDocs:
-        #             books.append(SearchResult(self.searcher, part, score=grp.maxScore))
         return books
 
         return books
 
-    def multisearch(self, query, max_results=50):
-        """
-        Search strategy:
-        - (phrase) OR -> content
-                      -> title
-                      -> author
-        - (keywords)  -> author
-                      -> motyw
-                      -> tags
-                      -> content
-        """
+    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)
 
         # queryreader = StringReader(query)
         # tokens = self.get_tokens(queryreader)
 
@@ -759,21 +1112,12 @@ class MultiSearch(Search):
         # top_level.add(BooleanClause(phrase_level, Should))
         # top_level.add(BooleanClause(kw_level, Should))
 
         # top_level.add(BooleanClause(phrase_level, Should))
         # top_level.add(BooleanClause(kw_level, Should))
 
-        return None
-
-    def book_search(self, query, filter=None, max_results=50, collector=None):
-        tops = self.searcher.search(query, filter, max_results)
-        #tops = self.searcher.search(p_content, max_results)
-
-        bks = []
-        for found in tops.scoreDocs:
-            doc = self.searcher.doc(found.doc)
-            b = models.Book.objects.get(id=doc.get("book_id"))
-            bks.append(b)
-            print "%s (%d) -> %f" % (b, b.id, found.score)
-        return bks
+        # return None
 
     def get_snippets(self, scoreDoc, query, field='content'):
 
     def get_snippets(self, scoreDoc, query, field='content'):
+        """
+        Returns a snippet for found scoreDoc.
+        """
         htmlFormatter = SimpleHTMLFormatter()
         highlighter = Highlighter(htmlFormatter, QueryScorer(query))
 
         htmlFormatter = SimpleHTMLFormatter()
         highlighter = Highlighter(htmlFormatter, QueryScorer(query))
 
@@ -782,16 +1126,16 @@ class MultiSearch(Search):
         # locate content.
         snippets = Snippets(stored.get('book_id')).open()
         try:
         # locate content.
         snippets = Snippets(stored.get('book_id')).open()
         try:
-            text = snippets.get(stored.get('snippets_position'), stored.get('snippets_length'))
+            text = snippets.get((int(stored.get('snippets_position')),
+                                 int(stored.get('snippets_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, "...")
         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, "...")
-        print('snips: %s' % snip)
 
 
-        return [snip]
+        return snip
 
     @staticmethod
     def enum_to_array(enum):
 
     @staticmethod
     def enum_to_array(enum):
@@ -811,23 +1155,37 @@ class MultiSearch(Search):
             return JArray('object')(terms, Term)
 
     def search_tags(self, query, filter=None, max_results=40):
             return JArray('object')(terms, Term)
 
     def search_tags(self, query, filter=None, max_results=40):
+        """
+        Search for Tag objects using query.
+        """
         tops = self.searcher.search(query, filter, max_results)
 
         tags = []
         for found in tops.scoreDocs:
             doc = self.searcher.doc(found.doc)
         tops = self.searcher.search(query, filter, max_results)
 
         tags = []
         for found in tops.scoreDocs:
             doc = self.searcher.doc(found.doc)
-            tag = models.Tag.objects.get(id=doc.get("tag_id"))
+            tag = catalogue.models.Tag.objects.get(id=doc.get("tag_id"))
             tags.append(tag)
             print "%s (%d) -> %f" % (tag, tag.id, found.score)
 
         return tags
 
             tags.append(tag)
             print "%s (%d) -> %f" % (tag, tag.id, found.score)
 
         return tags
 
+    def search_books(self, query, filter=None, max_results=10):
+        """
+        Searches for Book objects using query
+        """
+        bks = []
+        tops = self.searcher.search(query, filter, 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")))
+        return bks
+
     def create_prefix_phrase(self, toks, field):
         q = MultiPhraseQuery()
         for i in range(len(toks)):
             t = Term(field, toks[i])
             if i == len(toks) - 1:
     def create_prefix_phrase(self, toks, field):
         q = MultiPhraseQuery()
         for i in range(len(toks)):
             t = Term(field, toks[i])
             if i == len(toks) - 1:
-                pterms = MultiSearch.enum_to_array(PrefixTermEnum(self.searcher.getIndexReader(), t))
+                pterms = Search.enum_to_array(PrefixTermEnum(self.searcher.getIndexReader(), t))
                 if pterms:
                     q.add(pterms)
                 else:
                 if pterms:
                     q.add(pterms)
                 else:
@@ -836,7 +1194,23 @@ class MultiSearch(Search):
                 q.add(t)
         return q
 
                 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):
     def hint_tags(self, string, max_results=50):
+        """
+        Return auto-complete hints for tags
+        using prefix search.
+        """
         toks = self.get_tokens(string, field='SIMPLE')
         top = BooleanQuery()
 
         toks = self.get_tokens(string, field='SIMPLE')
         top = BooleanQuery()
 
@@ -844,37 +1218,41 @@ class MultiSearch(Search):
             q = self.create_prefix_phrase(toks, field)
             top.add(BooleanClause(q, BooleanClause.Occur.SHOULD))
 
             q = self.create_prefix_phrase(toks, field)
             top.add(BooleanClause(q, BooleanClause.Occur.SHOULD))
 
-        book_cat = TermsFilter()
-        book_cat.addTerm(Term("tag_category", "book"))
-
-        no_book_cat = BooleanFilter()
-        no_book_cat.add(FilterClause(book_cat, BooleanClause.Occur.MUST_NOT))
+        no_book_cat = self.term_filter(Term("tag_category", "book"), inverse=True)
 
         return self.search_tags(top, no_book_cat, max_results=max_results)
 
     def hint_books(self, string, max_results=50):
 
         return self.search_tags(top, no_book_cat, max_results=max_results)
 
     def hint_books(self, string, max_results=50):
+        """
+        Returns auto-complete hints for book titles
+        Because we do not index 'pseudo' title-tags.
+        Prefix search.
+        """
         toks = self.get_tokens(string, field='SIMPLE')
 
         q = self.create_prefix_phrase(toks, 'title')
         toks = self.get_tokens(string, field='SIMPLE')
 
         q = self.create_prefix_phrase(toks, 'title')
-        only_books = TermsFilter()
-        only_books.addTerm(Term("is_book", "true"))
-
-        return self.book_search(q, only_books, max_results=max_results)
 
 
-    def filter_by_tags(self, tags):
-        q = BooleanQuery()
-        
-        for tag in tags:
-            toks = self.get_tokens(tag.name, field='tags')
-            tag_phrase = PhraseQuery()
-            for tok in toks:
-                tag_phrase.add(tok)
-            q.add(BooleanClause(tok, BooleanClause.Occur.MUST))
+        return self.search_books(q, self.term_filter(Term("is_book", "true")), max_results=max_results)
 
 
-        return QueryWrapperFilter(q)
+    @staticmethod
+    def chain_filters(filters, op=ChainedFilter.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):
 
     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()
         cats = {}
         for t in tags:
             cats[t.category] = True
         return cats.keys()
+
+    def hint(self):
+        return Hint(self)