# -*- coding: utf-8 -*-
+
from django.conf import settings
-from lucene import SimpleFSDirectory, IndexWriter, File, Field, \
+from lucene import SimpleFSDirectory, IndexWriter, CheckIndex, \
+ File, Field, Integer, \
NumericField, Version, Document, JavaError, IndexSearcher, \
- QueryParser, Term, PerFieldAnalyzerWrapper, \
+ QueryParser, PerFieldAnalyzerWrapper, \
SimpleAnalyzer, PolishAnalyzer, ArrayList, \
- KeywordAnalyzer, NumericRangeQuery, BooleanQuery, \
- BlockJoinQuery, BlockJoinCollector, TermsFilter, \
+ KeywordAnalyzer, NumericRangeQuery, NumericRangeFilter, BooleanQuery, \
+ BlockJoinQuery, BlockJoinCollector, Filter, TermsFilter, ChainedFilter, \
HashSet, BooleanClause, Term, CharTermAttribute, \
- PhraseQuery, StringReader
+ PhraseQuery, MultiPhraseQuery, StringReader, TermQuery, \
+ FuzzyQuery, FuzzyTermEnum, PrefixTermEnum, Sort, Integer, \
+ SimpleHTMLFormatter, Highlighter, QueryScorer, TokenSources, TextFragment, \
+ BooleanFilter, TermsFilter, FilterClause, QueryWrapperFilter, \
+ initVM, CLASSPATH, JArray, JavaError
# KeywordAnalyzer
+
+# Initialize jvm
+JVM = initVM(CLASSPATH)
+
+import sys
import os
+import re
import errno
from librarian import dcparser
from librarian.parser import WLDocument
import catalogue.models
from multiprocessing.pool import ThreadPool
+from threading import current_thread
import atexit
+import traceback
class WLAnalyzer(PerFieldAnalyzerWrapper):
def __init__(self):
polish = PolishAnalyzer(Version.LUCENE_34)
+ # polish_gap.setPositionIncrementGap(999)
+
simple = SimpleAnalyzer(Version.LUCENE_34)
+ # simple_gap.setPositionIncrementGap(999)
+
keyword = KeywordAnalyzer(Version.LUCENE_34)
+
# not sure if needed: there's NOT_ANALYZED meaning basically the same
PerFieldAnalyzerWrapper.__init__(self, polish)
self.addAnalyzer("source_url", keyword)
self.addAnalyzer("source_name", simple)
self.addAnalyzer("publisher", simple)
- self.addAnalyzer("author", simple)
+ self.addAnalyzer("authors", simple)
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("tag_name", simple)
+ self.addAnalyzer("tag_name_pl", polish)
- #self.addanalyzer("fragment_anchor", keyword)
+ self.addAnalyzer("translators", simple)
+
+ self.addAnalyzer("KEYWORD", keyword)
+ self.addAnalyzer("SIMPLE", simple)
+ self.addAnalyzer("POLISH", polish)
class IndexStore(object):
else: raise
+class IndexChecker(IndexStore):
+ def __init__(self):
+ IndexStore.__init__(self)
+
+ def check(self):
+ checker = CheckIndex(self.store)
+ status = checker.checkIndex()
+ return status
+
+
+class Snippets(object):
+ SNIPPET_DIR = "snippets"
+
+ def __init__(self, book_id):
+ try:
+ os.makedirs(os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR))
+ except OSError as exc:
+ if exc.errno == errno.EEXIST:
+ pass
+ else: raise
+ self.book_id = book_id
+ self.file = None
+
+ def open(self, mode='r'):
+ if not 'b' in mode:
+ mode += 'b'
+ self.file = open(os.path.join(settings.SEARCH_INDEX, self.SNIPPET_DIR, str(self.book_id)), mode)
+ self.position = 0
+ return self
+
+ def add(self, snippet):
+ 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):
+ self.file.seek(pos[0], 0)
+ txt = self.file.read(pos[1]).decode('utf-8')
+ return txt
+
+ def close(self):
+ self.file.close()
+
+
class Index(IndexStore):
def __init__(self, analyzer=None):
IndexStore.__init__(self)
IndexWriter.MaxFieldLength.LIMITED)
return self.index
- def close(self):
+ def optimize(self):
self.index.optimize()
+
+ def close(self):
+ try:
+ self.index.optimize()
+ except JavaError, je:
+ print "Error during optimize phase, check index: %s" % je
+
self.index.close()
self.index = None
+ def index_tags(self):
+ q = NumericRangeQuery.newIntRange("tag_id", 0, Integer.MAX_VALUE, True, True)
+ self.index.deleteDocuments(q)
+
+ 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)
+
def remove_book(self, book):
- q = NumericRangeQuery.newIntRange("book_id", book.id, book.id, True,True)
+ 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):
if overwrite:
self.remove_book(book)
- doc = self.extract_metadata(book)
- parts = self.extract_content(book)
- block = ArrayList().of_(Document)
+ book_doc = self.create_book_doc(book)
+ meta_fields = self.extract_metadata(book, book_info)
+ 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)
- for p in parts:
- block.add(p)
- block.add(doc)
- self.index.addDocuments(block)
+ self.index.addDocument(book_doc)
+ del book_doc
+
+ self.index_content(book, book_fields=[meta_fields['title'], meta_fields['authors']])
master_tags = [
'opowiadanie',
'wywiad'
]
- skip_header_tags = ['autor_utworu', 'nazwa_utworu']
+ skip_header_tags = ['autor_utworu', 'nazwa_utworu', 'dzielo_nadrzedne']
def create_book_doc(self, book):
"""
doc.add(NumericField("parent_id", Field.Store.YES, True).setIntValue(book.parent.id))
return doc
- def extract_metadata(self, book):
- book_info = dcparser.parse(book.xml_file)
+ def extract_metadata(self, book, book_info=None):
+ fields = {}
+
+ if book_info is None:
+ book_info = dcparser.parse(open(book.xml_file.path))
- doc = self.create_book_doc(book)
- doc.add(Field("slug", book.slug, Field.Store.NO, Field.Index.ANALYZED_NO_NORMS))
- doc.add(Field("tags", ','.join([t.name for t in book.tags]), Field.Store.NO, Field.Index.ANALYZED))
- doc.add(Field("is_book", 'true', Field.Store.NO, Field.Index.NOT_ANALYZED))
+ fields['slug'] = Field("slug", book.slug, Field.Store.NO, Field.Index.ANALYZED_NO_NORMS)
+ 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
for field in dcparser.BookInfo.FIELDS:
if field.multiple:
s = ', '.join(s)
try:
- doc.add(Field(field.name, s, Field.Store.NO, Field.Index.ANALYZED))
+ fields[field.name] = Field(field.name, s, Field.Store.NO, Field.Index.ANALYZED)
except JavaError as je:
raise Exception("failed to add field: %s = '%s', %s(%s)" % (field.name, s, je.message, je.args))
elif type_indicator == dcparser.as_person:
persons = unicode(p)
else:
persons = ', '.join(map(unicode, p))
- doc.add(Field(field.name, persons, Field.Store.NO, Field.Index.ANALYZED))
+ fields[field.name] = Field(field.name, persons, Field.Store.NO, Field.Index.ANALYZED)
elif type_indicator == dcparser.as_date:
dt = getattr(book_info, field.name)
- doc.add(Field(field.name, "%04d%02d%02d" % (dt.year, dt.month, dt.day), Field.Store.NO, Field.Index.NOT_ANALYZED))
- return doc
+ fields[field.name] = Field(field.name, "%04d%02d%02d" %\
+ (dt.year, dt.month, dt.day), Field.Store.NO, Field.Index.NOT_ANALYZED)
+
+ return fields
def get_master(self, root):
for master in root.iter():
if master.tag in self.master_tags:
return master
-
- def extract_content(self, book):
- wld = WLDocument.from_file(book.xml_file.path)
+ def add_gaps(self, fields, fieldname):
+ 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 index_content(self, book, book_fields=[]):
+ wld = WLDocument.from_file(book.xml_file.path, parse_dublincore=False)
root = wld.edoc.getroot()
- # first we build a sequence of top-level items.
- # book_id
- # header_index - the 0-indexed position of header element.
- # content
master = self.get_master(root)
if master is None:
return []
-
- header_docs = []
- for header, position in zip(list(master), range(len(master))):
- if header.tag in self.skip_header_tags:
- continue
- doc = self.create_book_doc(book)
- doc.add(NumericField("header_index", Field.Store.YES, True).setIntValue(position))
- doc.add(Field("header_type", header.tag, Field.Store.YES, Field.Index.NOT_ANALYZED))
- content = u' '.join([t for t in header.itertext()])
- doc.add(Field("content", content, Field.Store.NO, Field.Index.ANALYZED))
- header_docs.append(doc)
def walker(node):
yield node, None
yield None, node
return
- # Then we create a document for each fragments
- # fragment_anchor - the anchor
- # themes - list of themes [not indexed]
- fragment_docs = []
- # will contain (framgent id -> { content: [], themes: [] }
- fragments = {}
- for start, end in walker(master):
- if start is not None and start.tag == 'begin':
- fid = start.attrib['id'][1:]
- fragments[fid] = {'content': [], 'themes': []}
- fragments[fid]['content'].append(start.tail)
- 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)
- elif start is not None and start.tag == 'end':
- fid = start.attrib['id'][1:]
- if fid not in fragments:
- continue # a broken <end> node, skip it
- frag = fragments[fid]
- del fragments[fid]
-
- def jstr(l):
- return u' '.join(map(
- lambda x: x == None and u'(none)' or unicode(x),
- l))
-
- doc = self.create_book_doc(book)
- doc.add(Field("fragment_anchor", fid,
+ def fix_format(text):
+ return re.sub("/$", "", text, flags=re.M)
+
+ def add_part(snippets, **fields):
+ doc = self.create_book_doc(book)
+ for f in book_fields:
+ doc.add(f)
+
+ doc.add(NumericField('header_index', Field.Store.YES, True).setIntValue(fields["header_index"]))
+ doc.add(NumericField("header_span", Field.Store.YES, True)\
+ .setIntValue('header_span' in fields and fields['header_span'] or 1))
+ doc.add(Field('header_type', fields["header_type"], Field.Store.YES, Field.Index.NOT_ANALYZED))
+
+ doc.add(Field('content', fields["content"], Field.Store.NO, Field.Index.ANALYZED, \
+ Field.TermVector.WITH_POSITIONS_OFFSETS))
+
+ 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(Field("content",
- u' '.join(filter(lambda s: s is not None, frag['content'])),
- Field.Store.NO, Field.Index.ANALYZED))
- doc.add(Field("themes",
- u' '.join(filter(lambda s: s is not None, frag['themes'])),
- Field.Store.NO, Field.Index.ANALYZED))
-
- fragment_docs.append(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)
-
- return header_docs + fragment_docs
+
+ if 'themes' in fields:
+ 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
+
+ def give_me_utf8(s):
+ if isinstance(s, unicode):
+ return s.encode('utf-8')
+ else:
+ return s
+
+
+ fragments = {}
+ snippets = Snippets(book.id).open('w')
+ try:
+ for header, position in zip(list(master), range(len(master))):
+
+ if header.tag in self.skip_header_tags:
+ continue
+
+ 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):
+ 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:]
+ 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 start is not None and start.tag == 'end':
+ fid = start.attrib['id'][1:]
+ if fid not in fragments:
+ continue # a broken <end> node, skip it
+ frag = fragments[fid]
+ if frag['themes'] == []:
+ continue # empty themes list.
+ del fragments[fid]
+
+ 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'])),
+ themes=frag['themes'])
+
+ 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)
+ finally:
+ snippets.close()
+
def __enter__(self):
self.open()
self.close()
+def log_exception_wrapper(f):
+ def _wrap(*a):
+ try:
+ f(*a)
+ except Exception, e:
+ print("Error in indexing thread: %s" % e)
+ traceback.print_exc()
+ raise e
+ return _wrap
+
+
class ReusableIndex(Index):
"""
Works like index, but does not close/optimize Lucene index
if ReusableIndex.index is not None:
self.index = ReusableIndex.index
else:
- ReusableIndex.pool = ThreadPool(threads)
+ 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)
def index_book(self, *args, **kw):
- job = ReusableIndex.pool.apply_async(Index.index_book, 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:
+ print("wait for indexing to finish")
for job in ReusableIndex.pool_jobs:
- job.wait()
+ job.get()
+ sys.stdout.write('.')
+ sys.stdout.flush()
+ print("done.")
ReusableIndex.pool.close()
ReusableIndex.index.optimize()
class Search(IndexStore):
def __init__(self, default_field="content"):
IndexStore.__init__(self)
- self.analyzer = PolishAnalyzer(Version.LUCENE_34)
+ self.analyzer = WLAnalyzer() #PolishAnalyzer(Version.LUCENE_34)
## self.analyzer = WLAnalyzer()
self.searcher = IndexSearcher(self.store, True)
self.parser = QueryParser(Version.LUCENE_34, default_field,
bks.append(catalogue.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"])
# }
+class SearchResult(object):
+ def __init__(self, searcher, scoreDocs, score=None, how_found=None, snippets=None):
+ self.snippets = []
+
+ if score:
+ self.score = score
+ else:
+ self.score = scoreDocs.score
+
+ self.hits = []
+
+ 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
+
+ fragment = stored.get("fragment_anchor")
+
+ hit = (sec + (header_span,), fragment, scoreDocs.score, {'how_found': how_found, 'snippets': snippets})
+
+ self.hits.append(hit)
+
+ def merge(self, other):
+ if self.book_id != other.book_id:
+ raise ValueError("this search result is or book %d; tried to merge with %d" % (self.book_id, other.book_id))
+ self.hits += other.hits
+ if other.score > self.score:
+ self.score = other.score
+ return self
+
+ def get_book(self):
+ return catalogue.models.Book.objects.get(id=self.book_id)
+
+ book = property(get_book)
+
+ def process_hits(self):
+ frags = filter(lambda r: r[1] is not None, self.hits)
+ sect = filter(lambda r: r[1] is None, self.hits)
+ 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)
+
+ hits = []
+
+ for s in sect:
+ m = {'score': s[2],
+ 'header_index': s[0][1]
+ }
+ m.update(s[3])
+ hits.append(m)
+
+ for f in frags:
+ frag = catalogue.models.Fragment.objects.get(anchor=f[1])
+ m = {'score': f[2],
+ 'fragment': frag,
+ 'themes': frag.tags.filter(category='theme')
+ }
+ m.update(f[3])
+ hits.append(m)
+
+ hits.sort(lambda a, b: cmp(a['score'], b['score']), reverse=True)
+
+ print("--- %s" % hits)
+
+ return hits
+
+ def __unicode__(self):
+ return u'SearchResult(book_id=%d, score=%d)' % (self.book_id, self.score)
+
+ @staticmethod
+ def aggregate(*result_lists):
+ books = {}
+ for rl in result_lists:
+ for r in rl:
+ if r.book_id in books:
+ books[r.book_id].merge(r)
+ #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)
+
+
+class Hint(object):
+ def __init__(self, search):
+ self.search = search
+ self.book_tags = {}
+ self.part_tags = []
+ self._books = []
+
+ def books(self, *books):
+ self._books = books
+
+ def tags(self, tags):
+ 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']:
+ self.part_tags.append(t)
+
+ def tag_filter(self, tags, field='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):
+ 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):
+ 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 MultiSearch.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 MultiSearch(Search):
"""Class capable of IMDb-like searching"""
- def get_tokens(self, queryreader):
- if isinstance(queryreader, str):
- queryreader = StringReader(queryreader)
- queryreader.reset()
- tokens = self.analyzer.reusableTokenStream('content', queryreader)
+ def get_tokens(self, searched, field='content'):
+ """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 isinstance(searched, str) or isinstance(searched, unicode):
+ searched = StringReader(searched)
+ elif isinstance(searched, list):
+ return searched
+
+ searched.reset()
+ tokens = self.analyzer.reusableTokenStream(field, searched)
toks = []
while tokens.incrementToken():
cta = tokens.getAttribute(CharTermAttribute.class_)
- toks.append(cta)
+ toks.append(cta.toString())
return toks
- def make_phrase(self, tokens, field='content', joined=False):
- phrase = PhraseQuery()
- for t in tokens:
- term = Term(field, t)
- phrase.add(term)
- if joined:
- phrase = self.content_query(phrase)
+ def fuzziness(self, fuzzy):
+ if not fuzzy:
+ return None
+ if isinstance(fuzzy, float) and fuzzy > 0.0 and fuzzy <= 1.0:
+ return fuzzy
+ else:
+ return 0.5
+
+ def make_phrase(self, tokens, field='content', slop=2, fuzzy=False):
+ if fuzzy:
+ phrase = MultiPhraseQuery()
+ for t in tokens:
+ term = Term(field, t)
+ fuzzterm = FuzzyTermEnum(self.searcher.getIndexReader(), term, self.fuzziness(fuzzy))
+ fuzzterms = []
+
+ while True:
+ # print("fuzz %s" % unicode(fuzzterm.term()).encode('utf-8'))
+ ft = fuzzterm.term()
+ if ft:
+ fuzzterms.append(ft)
+ if not fuzzterm.next(): break
+ if fuzzterms:
+ phrase.add(JArray('object')(fuzzterms, Term))
+ else:
+ phrase.add(term)
+ else:
+ phrase = PhraseQuery()
+ phrase.setSlop(slop)
+ for t in tokens:
+ term = Term(field, t)
+ phrase.add(term)
return phrase
- def make_term_query(self, tokens, field='content', modal=BooleanClause.Occur.SHOULD, joined=False):
+ def make_term_query(self, tokens, field='content', modal=BooleanClause.Occur.SHOULD, fuzzy=False):
q = BooleanQuery()
for t in tokens:
term = Term(field, t)
+ if fuzzy:
+ term = FuzzyQuery(term, self.fuzziness(fuzzy))
+ else:
+ term = TermQuery(term)
q.add(BooleanClause(term, modal))
- if joined:
- self.content_query(q)
return q
- def content_query(self, query):
- return BlockJoinQuery(query, self.parent_filter,
- BlockJoinQuery.ScoreMode.Total)
+ # def content_query(self, query):
+ # return BlockJoinQuery(query, self.parent_filter,
+ # BlockJoinQuery.ScoreMode.Total)
+
+ def search_perfect_book(self, searched, max_results=20, fuzzy=False, hint=None):
+ fields_to_search = ['authors', 'title']
+ only_in = None
+ if hint:
+ if not hint.should_search_for_book():
+ return []
+ fields_to_search = hint.just_search_in(fields_to_search)
+ only_in = hint.book_filter()
+
+ qrys = [self.make_phrase(self.get_tokens(searched, field=fld), field=fld, fuzzy=fuzzy) for fld in fields_to_search]
+
+ books = []
+ for q in qrys:
+ top = self.searcher.search(q,
+ self.chain_filters([only_in, self.term_filter(Term('is_book', 'true'))]),
+ max_results)
+ for found in top.scoreDocs:
+ books.append(SearchResult(self.searcher, found))
+ return books
+
+ def search_perfect_parts(self, searched, max_results=20, fuzzy=False, hint=None):
+ 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:
+ top = self.searcher.search(q,
+ self.chain_filters([self.term_filter(Term('is_book', 'true'), inverse=True),
+ flt
+ ]),
+ max_results)
+ for found in top.scoreDocs:
+ books.append(SearchResult(self.searcher, found, snippets=self.get_snippets(found, q)))
+
+ return books
+
+ def search_everywhere(self, searched, max_results=20, fuzzy=False, hint=None):
+ books = []
+ only_in = None
+
+ if hint:
+ only_in = hint.part_filter()
+
+ # content only query : themes x content
+ q = BooleanQuery()
+
+ tokens = self.get_tokens(searched)
+ if hint is None or hint.just_search_in(['themes_pl']) != []:
+ q.add(BooleanClause(self.make_term_query(tokens, field='themes_pl',
+ fuzzy=fuzzy), BooleanClause.Occur.MUST))
+
+ q.add(BooleanClause(self.make_term_query(tokens, field='content',
+ fuzzy=fuzzy), BooleanClause.Occur.SHOULD))
+
+ topDocs = self.searcher.search(q, only_in, max_results)
+ for found in topDocs.scoreDocs:
+ books.append(SearchResult(self.searcher, found))
+
+ # query themes/content x author/title/tags
+ q = BooleanQuery()
+ # in_meta = BooleanQuery()
+ in_content = BooleanQuery()
+
+ for fld in ['themes', 'content', 'tags', 'authors', 'title']:
+ in_content.add(BooleanClause(self.make_term_query(tokens, field=fld, fuzzy=False), BooleanClause.Occur.SHOULD))
+
+ topDocs = self.searcher.search(q, only_in, max_results)
+ for found in topDocs.scoreDocs:
+ books.append(SearchResult(self.searcher, found))
+
+ return books
- def multiseach(self, query, max_results=50):
+ def multisearch(self, query, max_results=50):
"""
Search strategy:
- (phrase) OR -> content
-> title
- -> author
- - (keywords) -> author
+ -> authors
+ - (keywords) -> authors
-> motyw
-> tags
-> content
"""
- queryreader = StringReader(query)
- tokens = self.get_tokens(queryreader)
+ # queryreader = StringReader(query)
+ # tokens = self.get_tokens(queryreader)
- top_level = BooleanQuery()
- Should = BooleanClause.Occur.SHOULD
+ # top_level = BooleanQuery()
+ # Should = BooleanClause.Occur.SHOULD
- phrase_level = BooleanQuery()
+ # phrase_level = BooleanQuery()
+ # phrase_level.setBoost(1.3)
- p_content = self.make_phrase(tokens, joined=True)
- p_title = self.make_phrase(tokens, 'title')
- p_author = self.make_phrase(tokens, 'author')
+ # p_content = self.make_phrase(tokens, joined=True)
+ # p_title = self.make_phrase(tokens, 'title')
+ # p_author = self.make_phrase(tokens, 'author')
- phrase_level.add(BooleanClause(p_content, Should))
- phrase_level.add(BooleanClause(p_title, Should))
- phrase_level.add(BooleanClause(p_author, Should))
+ # phrase_level.add(BooleanClause(p_content, Should))
+ # phrase_level.add(BooleanClause(p_title, Should))
+ # phrase_level.add(BooleanClause(p_author, Should))
- kw_level = BooleanQuery()
+ # kw_level = BooleanQuery()
- kw_level.add(self.make_term_query(tokens, 'author'), Should)
- kw_level.add(self.make_term_query(tokens, 'themes', joined=True), Should)
- kw_level.add(self.make_term_query(tokens, 'tags'), Should)
- kw_level.add(self.make_term_query(tokens, joined=True), Should)
+ # kw_level.add(self.make_term_query(tokens, 'author'), Should)
+ # j_themes = self.make_term_query(tokens, 'themes', joined=True)
+ # kw_level.add(j_themes, Should)
+ # kw_level.add(self.make_term_query(tokens, 'tags'), Should)
+ # j_con = self.make_term_query(tokens, joined=True)
+ # kw_level.add(j_con, Should)
- top_level.add(BooleanClause(phrase_level, Should))
- top_level.add(BooleanClause(kw_level, Should))
+ # top_level.add(BooleanClause(phrase_level, Should))
+ # top_level.add(BooleanClause(kw_level, Should))
- tops = self.searcher.search(top_level, max_results)
+ 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 = catalogue.models.Book.objects.get(id=doc.get("book_id"))
+ bks.append(b)
+ print "%s (%d) -> %f" % (b, b.id, found.score)
+ return bks
+
+ def get_snippets(self, scoreDoc, query, field='content'):
+ htmlFormatter = SimpleHTMLFormatter()
+ highlighter = Highlighter(htmlFormatter, QueryScorer(query))
+
+ stored = self.searcher.doc(scoreDoc.doc)
+
+ # locate content.
+ snippets = Snippets(stored.get('book_id')).open()
+ try:
+ 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)
+ # import pdb; pdb.set_trace()
+ snip = highlighter.getBestFragments(tokenStream, text, 3, "...")
+
+ return [snip]
+
+ @staticmethod
+ def enum_to_array(enum):
+ """
+ Converts a lucene TermEnum to array of Terms, suitable for
+ addition to queries
+ """
+ terms = []
+
+ while True:
+ t = enum.term()
+ if t:
+ terms.append(t)
+ if not enum.next(): break
+
+ if terms:
+ return JArray('object')(terms, Term)
+
+ def search_tags(self, query, filter=None, max_results=40):
+ tops = self.searcher.search(query, filter, 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)
+
+ return tags
+
+ def search_books(self, query, filter=None, max_results=10):
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, tops.totalHits)
+ 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:
+ pterms = MultiSearch.enum_to_array(PrefixTermEnum(self.searcher.getIndexReader(), t))
+ if pterms:
+ q.add(pterms)
+ else:
+ q.add(t)
+ else:
+ q.add(t)
+ return q
+
+ @staticmethod
+ def term_filter(term, inverse=False):
+ only_term = TermsFilter()
+ only_term.addTerm(term)
+
+ if inverse:
+ neg = BooleanFilter()
+ neg.add(FilterClause(only_term, BooleanClause.Occur.MUST_NOT))
+ only_term = neg
+
+ return only_term
+
+ def hint_tags(self, string, max_results=50):
+ toks = self.get_tokens(string, field='SIMPLE')
+ top = BooleanQuery()
+
+ for field in ['tag_name', 'tag_name_pl']:
+ q = self.create_prefix_phrase(toks, field)
+ 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)
+
+ def hint_books(self, string, max_results=50):
+ toks = self.get_tokens(string, field='SIMPLE')
+
+ q = self.create_prefix_phrase(toks, 'title')
+
+ return self.book_search(q, self.term_filter(Term("is_book", "true")), max_results=max_results)
+
+ @staticmethod
+ def chain_filters(filters, op=ChainedFilter.AND):
+ filters = filter(lambda x: x is not None, filters)
+ if not filters:
+ return None
+ chf = ChainedFilter(JArray('object')(filters, Filter), op)
+ return chf
+
+ def filtered_categories(self, tags):
+ cats = {}
+ for t in tags:
+ cats[t.category] = True
+ return cats.keys()
+
+ def hint(self):
+ return Hint(self)
fnp / wolnelektury.git / blobdiff