-
+# -*- coding: utf-8 -*-
from django.conf import settings
-from lucene import SimpleFSDirectory, IndexWriter
+from lucene import SimpleFSDirectory, IndexWriter, File, Field, \
+ NumericField, Version, Document, JavaError, IndexSearcher, \
+ QueryParser, Term, PerFieldAnalyzerWrapper, \
+ SimpleAnalyzer, PolishAnalyzer, ArrayList, \
+ KeywordAnalyzer, NumericRangeQuery, BooleanQuery, \
+ BlockJoinQuery, BlockJoinCollector, TermsFilter, \
+ HashSet, BooleanClause, Term
+ # KeywordAnalyzer
import os
+import errno
+from librarian import dcparser
+from librarian.parser import WLDocument
+from catalogue.models import Book
-class BookSearch(object):
+class WLAnalyzer(PerFieldAnalyzerWrapper):
def __init__(self):
- if not os.exists(settings.SEARCH_INDEX):
- os.mkdir(settings.SEARCH_INDEX)
- self.store = IndexWriter(store, )
-
+ polish = PolishAnalyzer(Version.LUCENE_34)
+ simple = SimpleAnalyzer(Version.LUCENE_34)
+ keyword = KeywordAnalyzer(Version.LUCENE_34)
+ # not sure if needed: there's NOT_ANALYZED meaning basically the same
+
+ PerFieldAnalyzerWrapper.__init__(self, polish)
+
+ 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("author", simple)
+ self.addAnalyzer("is_book", keyword)
+
+ #self.addanalyzer("fragment_anchor", keyword)
+
+
+class IndexStore(object):
+ def __init__(self):
+ self.make_index_dir()
+ self.store = SimpleFSDirectory(File(settings.SEARCH_INDEX))
+
+ def make_index_dir(self):
+ try:
+ os.makedirs(settings.SEARCH_INDEX)
+ except OSError as exc:
+ if exc.errno == errno.EEXIST:
+ pass
+ else: raise
+
+
+class Index(IndexStore):
+ def __init__(self, analyzer=None):
+ IndexStore.__init__(self)
+ self.index = None
+ if not analyzer:
+ analyzer = WLAnalyzer()
+ self.analyzer = analyzer
+
+ def open(self, analyzer=None):
+ if self.index:
+ raise Exception("Index is already opened")
+ self.index = IndexWriter(self.store, self.analyzer,\
+ IndexWriter.MaxFieldLength.LIMITED)
+ return self.index
+
+ def close(self):
+ self.index.optimize()
+ self.index.close()
+ self.index = None
+
+ def remove_book(self, book):
+ q = NumericRangeQuery.newIntRange("book_id", book.id, book.id, True,True)
+ self.index.deleteDocuments(q)
+
+ def index_book(self, book, overwrite=True):
+ if overwrite:
+ self.remove_book(book)
+
+ doc = self.extract_metadata(book)
+ parts = self.extract_content(book)
+ block = ArrayList().of_(Document)
+
+ for p in parts:
+ block.add(p)
+ block.add(doc)
+ self.index.addDocuments(block)
+
+ master_tags = [
+ 'opowiadanie',
+ 'powiesc',
+ 'dramat_wierszowany_l',
+ 'dramat_wierszowany_lp',
+ 'dramat_wspolczesny', 'liryka_l', 'liryka_lp',
+ 'wywiad'
+ ]
+
+ def create_book_doc(self, book):
+ """
+ Create a lucene document connected to the book
+ """
+ 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):
+ book_info = dcparser.parse(book.xml_file)
+
+ 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))
+
+ # validator, name
+ for field in dcparser.BookInfo.FIELDS:
+ if hasattr(book_info, field.name):
+ if not getattr(book_info, field.name):
+ continue
+ # since no type information is available, we use validator
+ type_indicator = field.validator
+ if type_indicator == dcparser.as_unicode:
+ s = getattr(book_info, field.name)
+ if field.multiple:
+ s = ', '.join(s)
+ try:
+ doc.add(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:
+ p = getattr(book_info, field.name)
+ if isinstance(p, dcparser.Person):
+ persons = unicode(p)
+ else:
+ persons = ', '.join(map(unicode, p))
+ doc.add(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
+
+ 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)
+ 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)
+ header_docs = []
+ for header, position in zip(list(master), range(len(master))):
+ print("header %s @%d" % (header, position))
+ 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
+ for child in list(node):
+ for b, e in walker(child):
+ yield b, e
+ 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):
+ print("%s %s" % (start, end))
+ 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:]
+ frag = fragments[fid]
+ del fragments[fid]
+ print("Fragment %s complete, themes: %s contents: %s" % (fid, frag['themes'], frag['content']))
+
+ doc = self.create_book_doc(book)
+ doc.add(Field("fragment_anchor", fid, 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(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
+
+ def __enter__(self):
+ self.open()
+ return self
+
+ def __exit__(self, type, value, tb):
+ self.close()
+
+
+class Search(IndexStore):
+ def __init__(self, default_field="content"):
+ IndexStore.__init__(self)
+ self.analyzer = 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)
+
+ def wrapjoins(self, query, fields=[]):
+ """
+ This functions modifies the query in a recursive way,
+ so Term and Phrase Queries contained, which match
+ provided fields are wrapped in a BlockJoinQuery,
+ and so delegated to children documents.
+ """
+ if BooleanQuery.instance_(query):
+ qs = BooleanQuery.cast_(query)
+ for clause in qs:
+ clause = BooleanClause.cast_(clause)
+ clause.setQuery(self.wrapjoins(clause.getQuery(), fields))
+ return qs
+ else:
+ termset = HashSet()
+ query.extractTerms(termset)
+ for t in termset:
+ t = Term.cast_(t)
+ if t.field() not in fields:
+ return query
+ 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(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(Book.objects.get(id=doc.get("book_id")))
+ return (bks, tops.totalHits)
+
+ def bsearch(self, query, max_results=50):
+ q = self.query(query)
+ f = TermsFilter()
+ f.addTerm(Term("is_book", "true"))
+ bjq = BlockJoinQuery(q, f, BlockJoinQuery.ScoreMode.Avg)
+
+ tops = self.searcher.search(bjq, max_results)
+ bks = []
+ for found in tops.scoreDocs:
+ doc = self.searcher.doc(found.doc)
+ bks.append(Book.objects.get(id=doc.get("book_id")))
+ return (bks, tops.totalHits)
fnp / wolnelektury.git / blobdiff