Source code for lupyne.engine.indexers

Wrappers for lucene Index{Read,Search,Writ}ers.

The final `Indexer`_ classes exposes a high-level Searcher and Writer.

from future_builtins import filter, map, zip
import os
import itertools
import operator
import contextlib
import collections
import lucene
from import File, StringReader
from java.lang import Float
from java.util import Arrays, HashMap, HashSet
from org.apache.lucene import analysis, document, index, queries, queryparser, search, store, util
from org.apache.pylucene.analysis import PythonAnalyzer, PythonTokenFilter
from org.apache.pylucene.queryparser.classic import PythonQueryParser
from .queries import suppress, Query, BooleanFilter, TermsFilter, SortField, Highlighter, FastVectorHighlighter, SpellChecker, SpellParser
from .documents import Field, Document, Hits, GroupingSearch
from .spatial import DistanceComparator
from ..utils import Atomic, method

for cls in (analysis.TokenStream, lucene.JArray_byte):

class closing(set):
    "Manage lifespan of registered objects, similar to contextlib.closing."
    def __del__(self):
        for obj in self:

    def analyzer(self, analyzer, version=None):
        if analyzer is None:
            analyzer = analysis.standard.StandardAnalyzer(version or util.Version.LATEST)
        return analyzer

    def directory(self, directory):
        if directory is None:
            directory = store.RAMDirectory()
        elif isinstance(directory, basestring):
            directory =
        return directory

    def reader(self, reader):
        if isinstance(reader, index.IndexReader):
        elif isinstance(reader, index.IndexWriter):
            reader =, True)
        elif isinstance(reader, Atomic):
            reader =
            reader = index.MultiReader(list(map(self.reader, reader)))
        return reader

    def store(cls, directory):
        self = cls()

def copy(commit, dest):
    """Copy the index commit to the destination directory.
    Optimized to use hard links if the destination is a file system path.
    if isinstance(dest, store.Directory):
        for filename in commit.fileNames:
  , filename, filename, store.IOContext.DEFAULT)
        src = IndexSearcher.path.fget(commit)
        os.path.isdir(dest) or os.makedirs(dest)
        for filename in commit.fileNames:
            paths = os.path.join(src, filename), os.path.join(dest, filename)
            except OSError:
                if not os.path.samefile(*paths):

[docs]class TokenStream(analysis.TokenStream): "TokenStream mixin with support for iteration and attributes cached as properties." def __iter__(self): self.reset() return self def next(self): if self.incrementToken(): return self raise StopIteration def __getattr__(self, name): cls = getattr(analysis.tokenattributes, name + 'Attribute').class_ attr = self.getAttribute(cls) if self.hasAttribute(cls) else self.addAttribute(cls) setattr(self, name, attr) return attr @property def offset(self): "Start and stop character offset." return self.Offset.startOffset(), self.Offset.endOffset() @offset.setter def offset(self, item): self.Offset.setOffset(*item) @property def payload(self): "Payload bytes." payload = self.Payload.payload return payload and payload.utf8ToString() @payload.setter def payload(self, data): self.Payload.payload = util.BytesRef(data) @property def positionIncrement(self): "Position relative to the previous token." return self.PositionIncrement.positionIncrement @positionIncrement.setter def positionIncrement(self, index): self.PositionIncrement.positionIncrement = index @property def term(self): "Term text." return self.CharTerm.toString() @term.setter def term(self, text): self.CharTerm.setEmpty() self.CharTerm.append(text) @property def type(self): "Lexical type." return self.Type.type() @type.setter def type(self, text): self.Type.setType(text)
[docs]class TokenFilter(PythonTokenFilter, TokenStream): """Create an iterable lucene TokenFilter from a TokenStream. Subclass and override :meth:`incrementToken` or :meth:`setattrs`. """ def __init__(self, input): PythonTokenFilter.__init__(self, input) self.input = input
[docs] def incrementToken(self): "Advance to next token and return whether the stream is not empty." result = self.input.incrementToken() self.setattrs() return result
[docs]class Analyzer(PythonAnalyzer): """Return a lucene Analyzer which chains together a tokenizer and filters. :param tokenizer: lucene Analyzer or Tokenizer factory :param filters: lucene TokenFilters """ def __init__(self, tokenizer, *filters): PythonAnalyzer.__init__(self) self.tokenizer, self.filters = tokenizer, filters def components(self, field, reader): source = tokens = self.tokenizer.tokenStream(field, reader) if isinstance(self.tokenizer, analysis.Analyzer) else self.tokenizer(reader) for filter in self.filters: tokens = filter(tokens) return source, tokens def createComponents(self, field, reader): return analysis.Analyzer.TokenStreamComponents(*self.components(field, reader))
[docs] def tokens(self, text, field=None): "Return lucene TokenStream from text." return self.components(field, StringReader(text))[1]
[docs] def parse(self, query, field='', op='', version=None, parser=None, **attrs): """Return parsed lucene Query. :param query: query string :param field: default query field name, sequence of names, or boost mapping :param op: default query operator ('or', 'and') :param version: lucene Version :param parser: custom PythonQueryParser class :param attrs: additional attributes to set on the parser """ # parsers aren't thread-safe (nor slow), so create one each time cls = queryparser.classic.QueryParser if isinstance(field, basestring) else queryparser.classic.MultiFieldQueryParser args = field, self if isinstance(field, collections.Mapping): boosts = HashMap() for key in field: boosts.put(key, Float(field[key])) args = list(field), self, boosts parser = (parser or cls)(version or util.Version.LATEST, *args) if op: parser.defaultOperator = getattr(queryparser.classic.QueryParser.Operator, op.upper()) for name, value in attrs.items(): setattr(parser, name, value) if isinstance(parser, queryparser.classic.MultiFieldQueryParser): return parser.parse(parser, query) try: return parser.parse(query) finally: if isinstance(parser, PythonQueryParser): parser.finalize()
[docs]class IndexReader(object): """Delegated lucene IndexReader, with a mapping interface of ids to document objects. :param reader: lucene IndexReader """ def __init__(self, reader): self.indexReader = reader def __getattr__(self, name): if name == 'indexReader': raise AttributeError(name) return getattr(index.DirectoryReader.cast_(self.indexReader), name)
[docs] def __len__(self): return self.numDocs()
[docs] def __contains__(self, id): bits = self.bits return (0 <= id < self.maxDoc()) and (not bits or bits.get(id))
[docs] def __iter__(self): ids = xrange(self.maxDoc()) bits = self.bits return filter(bits.get, ids) if bits else iter(ids)
@property def bits(self): return index.MultiFields.getLiveDocs(self.indexReader) @property def directory(self): "reader's lucene Directory" return self.__getattr__('directory')() @property def path(self): "FSDirectory path" return store.FSDirectory.cast_( @property def timestamp(self): "timestamp of reader's last commit" directory = store.FSDirectory.cast_( return File(directory, self.indexCommit.segmentsFileName).lastModified() * 0.001 @property def readers(self): "segment readers" return (index.SegmentReader.cast_(context.reader()) for context in self.leaves()) @property def segments(self): "segment filenames with document counts" return {reader.segmentName: reader.numDocs() for reader in self.readers}
[docs] def copy(self, dest, query=None, exclude=None, merge=0): """Copy the index to the destination directory. Optimized to use hard links if the destination is a file system path. :param dest: destination directory path or lucene Directory :param query: optional lucene Query to select documents :param exclude: optional lucene Query to exclude documents :param merge: optionally merge into maximum number of segments """ copy(self.indexCommit, dest) with IndexWriter(dest) as writer: if query: writer.delete(Query.alldocs() - query) if exclude: writer.delete(exclude) writer.commit() writer.forceMergeDeletes() if merge: writer.forceMerge(merge) return len(writer)
[docs] def names(self, **attrs): """Return field names, given option description. .. versionchanged:: 1.2 lucene requires FieldInfo filter attributes instead of option """ fieldinfos = index.MultiFields.getMergedFieldInfos(self.indexReader).iterator() return [ for fieldinfo in fieldinfos if all(getattr(fieldinfo, name) == attrs[name] for name in attrs)]
[docs] def terms(self, name, value='', stop=None, counts=False, distance=0): """Generate a slice of term values, optionally with frequency counts. Supports a range of terms, wildcard terms, or fuzzy terms. :param name: field name :param value: term prefix or lower bound for range terms :param stop: optional upper bound for range terms :param counts: include frequency counts :param distance: maximum edit distance for fuzzy terms """ terms = index.MultiFields.getTerms(self.indexReader, name) termsenum = terms.iterator(None) if terms else index.TermsEnum.EMPTY if terms and distance: termsenum = search.FuzzyTermsEnum(terms, util.AttributeSource(), index.Term(name, value), float(distance), 0, False) elif stop is not None: termsenum = search.TermRangeTermsEnum(termsenum, util.BytesRef(value), util.BytesRef(stop), True, False) else: termsenum = search.PrefixTermsEnum(termsenum, util.BytesRef(value)) terms = map(operator.methodcaller('utf8ToString'), termsenum) return ((term, termsenum.docFreq()) for term in terms) if counts else terms
[docs] def numbers(self, name, step=0, type=int, counts=False): """Generate decoded numeric term values, optionally with frequency counts. :param name: field name :param step: precision step to select terms :param type: int or float :param counts: include frequency counts """ convert = util.NumericUtils.sortableLongToDouble if issubclass(type, float) else int termsenum = index.MultiFields.getTerms(self.indexReader, name).iterator(None) termsenum = search.PrefixTermsEnum(termsenum, util.BytesRef(chr(ord(' ') + step))) values = map(convert, map(util.NumericUtils.prefixCodedToLong, termsenum)) return ((value, termsenum.docFreq()) for value in values) if counts else values
[docs] def docs(self, name, value, counts=False): "Generate doc ids which contain given term, optionally with frequency counts." docsenum = index.MultiFields.getTermDocsEnum(self.indexReader, self.bits, name, util.BytesRef(value)) docs = iter(docsenum.nextDoc, index.DocsEnum.NO_MORE_DOCS) if docsenum else () return ((doc, docsenum.freq()) for doc in docs) if counts else iter(docs)
[docs] def positions(self, name, value, payloads=False, offsets=False): "Generate doc ids and positions which contain given term, optionally with offsets, or only ones with payloads." docsenum = index.MultiFields.getTermPositionsEnum(self.indexReader, self.bits, name, util.BytesRef(value)) for doc in (iter(docsenum.nextDoc, index.DocsEnum.NO_MORE_DOCS) if docsenum else ()): positions = (docsenum.nextPosition() for n in xrange(docsenum.freq())) if payloads: positions = ((position, docsenum.payload.utf8ToString()) for position in positions if docsenum.payload) elif offsets: positions = ((docsenum.startOffset(), docsenum.endOffset()) for position in positions) yield doc, list(positions)
[docs] def spans(self, query, positions=False, payloads=False): """Generate docs with occurrence counts for a span query. :param query: lucene SpanQuery :param positions: optionally include slice positions instead of counts :param payloads: optionally only include slice positions with payloads """ offset = 0 for reader in self.readers: spans = itertools.repeat(query.getSpans(reader.context, reader.liveDocs, HashMap())) for doc, spans in itertools.groupby(itertools.takewhile(, spans), key=search.spans.Spans.doc): if payloads: values = [(span.start(), span.end(), [lucene.JArray_byte.cast_(data).string_ for data in span.payload]) for span in spans if span.payloadAvailable] elif positions: values = [(span.start(), span.end()) for span in spans] else: values = sum(1 for span in spans) yield (doc + offset), values offset += reader.maxDoc()
def vector(self, id, field): terms = self.getTermVector(id, field) termsenum = terms.iterator(None) if terms else index.TermsEnum.EMPTY return termsenum, map(operator.methodcaller('utf8ToString'), util.BytesRefIterator.cast_(termsenum))
[docs] def termvector(self, id, field, counts=False): "Generate terms for given doc id and field, optionally with frequency counts." termsenum, terms = self.vector(id, field) return ((term, int(termsenum.totalTermFreq())) for term in terms) if counts else terms
[docs] def positionvector(self, id, field, offsets=False): "Generate terms and positions for given doc id and field, optionally with character offsets." termsenum, terms = self.vector(id, field) for term in terms: docsenum = termsenum.docsAndPositions(None, None) assert 0 <= docsenum.nextDoc() < docsenum.NO_MORE_DOCS positions = (docsenum.nextPosition() for n in xrange(docsenum.freq())) if offsets: positions = ((docsenum.startOffset(), docsenum.endOffset()) for position in positions) yield term, list(positions)
[docs] def morelikethis(self, doc, *fields, **attrs): """Return MoreLikeThis query for document. :param doc: document id or text :param fields: document fields to use, optional for termvectors :param attrs: additional attributes to set on the morelikethis object """ mlt = queries.mlt.MoreLikeThis(self.indexReader) mlt.fieldNames = fields or None for name, value in attrs.items(): setattr(mlt, name, value) return, '') if isinstance(doc, basestring) else
[docs]class IndexSearcher(search.IndexSearcher, IndexReader): """Inherited lucene IndexSearcher, with a mixed-in IndexReader. :param directory: directory path, lucene Directory, or lucene IndexReader :param analyzer: lucene Analyzer, default StandardAnalyzer """ def __init__(self, directory, analyzer=None): self.shared = closing() search.IndexSearcher.__init__(self, self.shared.reader(directory)) self.analyzer = self.shared.analyzer(analyzer) self.filters, self.sorters, self.spellcheckers = {}, {}, {} self.termsfilters = set() @classmethod
[docs] def load(cls, directory, analyzer=None): "Open `IndexSearcher`_ with a lucene RAMDirectory, loading index into memory." with as directory: directory = store.RAMDirectory(directory, store.IOContext.DEFAULT) self = cls(directory, analyzer) self.shared.add( return self
[docs] def __del__(self): if hash(self): self.decRef()
def openIfChanged(self): return index.DirectoryReader.openIfChanged(index.DirectoryReader.cast_(self.indexReader))
[docs] def reopen(self, filters=False, sorters=False, spellcheckers=False): """Return current `IndexSearcher`_, only creating a new one if necessary. Any registered :attr:`termsfilters` are also refreshed. :param filters: refresh cached facet :attr:`filters` :param sorters: refresh cached :attr:`sorters` with associated parsers :param spellcheckers: refresh cached :attr:`spellcheckers` """ reader = self.openIfChanged() if reader is None: return self other = type(self)(reader, self.analyzer) other.decRef() other.shared = self.shared other.filters.update((key, value if isinstance(value, search.Filter) else dict(value)) for key, value in self.filters.items()) other.termsfilters.update(self.termsfilters) for termsfilter in self.termsfilters: termsfilter.refresh(other) if filters: other.facets(Query.any(), *other.filters) other.sorters = {name: SortField(sorter.field, sorter.typename, sorter.parser) for name, sorter in self.sorters.items()} if sorters: for field in self.sorters: other.comparator(field) if spellcheckers: for field in self.spellcheckers: other.spellchecker(field) else: other.spellcheckers = dict(self.spellcheckers) return other
[docs] def __getitem__(self, id): return Document(self.doc(id))
[docs] def get(self, id, *fields): "Return `Document`_ with only selected fields loaded." return Document(self.document(id, HashSet(Arrays.asList(fields))))
def parse(self, query, spellcheck=False, **kwargs): if isinstance(query, search.Query): return query if spellcheck: kwargs['parser'], kwargs['searcher'] = SpellParser, self return Analyzer.parse(self.analyzer, query, **kwargs)
[docs] def highlighter(self, query, field, **kwargs): "Return `Highlighter`_ or if applicable `FastVectorHighlighter`_ specific to searcher and query." query = self.parse(query, field=field) fieldinfo = index.MultiFields.getMergedFieldInfos(self.indexReader).fieldInfo(field) vector = fieldinfo and fieldinfo.hasVectors() return (FastVectorHighlighter if vector else Highlighter)(self, query, field, **kwargs)
[docs] def count(self, *query, **options): """Return number of hits for given query or term. :param query: :meth:`search` compatible query, or optimally a name and value :param options: additional :meth:`search` options """ if len(query) > 1: return self.docFreq(index.Term(*query)) query = self.parse(*query, **options) if query else Query.alldocs() collector = search.TotalHitCountCollector(), query, options.get('filter'), collector) return collector.totalHits
def collector(self, query, count=None, sort=None, reverse=False, scores=False, maxscore=False): inorder = not self.createNormalizedWeight(query).scoresDocsOutOfOrder() if count is None: return search.CachingCollector.create(not inorder, True, float('inf')) count = min(count, self.maxDoc() or 1) if sort is None: return search.TopScoreDocCollector.create(count, inorder) if isinstance(sort, basestring): sort = self.sorter(sort, reverse=reverse) if not isinstance(sort, search.Sort): sort = search.Sort(sort) return search.TopFieldCollector.create(sort, count, True, scores, maxscore, inorder)
[docs] def search(self, query=None, filter=None, count=None, sort=None, reverse=False, scores=False, maxscore=False, timeout=None, **parser): """Run query and return `Hits`_. .. versionchanged:: 1.4 sort param for lucene only; use Hits.sorted with a callable :param query: query string or lucene Query :param filter: lucene Filter :param count: maximum number of hits to retrieve :param sort: lucene Sort parameters :param reverse: reverse flag used with sort :param scores: compute scores for candidate results when sorting :param maxscore: compute maximum score of all results when sorting :param timeout: stop search after elapsed number of seconds :param parser: :meth:`Analyzer.parse` options """ query = Query.alldocs() if query is None else self.parse(query, **parser) cache = collector = self.collector(query, count, sort, reverse, scores, maxscore) counter = search.TimeLimitingCollector.getGlobalCounter() results = collector if timeout is None else search.TimeLimitingCollector(collector, counter, long(timeout * 1000)) with suppress(search.TimeLimitingCollector.TimeExceededException):, query, filter, results) timeout = None if isinstance(cache, search.CachingCollector): collector = search.TotalHitCountCollector() cache.replay(collector) collector = self.collector(query, collector.totalHits or 1, sort, reverse, scores, maxscore) cache.replay(collector) topdocs = collector.topDocs() stats = (topdocs.totalHits, topdocs.maxScore) * (timeout is None) return Hits(self, topdocs.scoreDocs, *stats)
[docs] def facets(self, query, *keys): """Return mapping of document counts for the intersection with each facet. .. versionchanged:: 1.6 filters are no longer implicitly cached, a `GroupingSearch`_ is used instead :param query: query string, lucene Query, or lucene Filter :param keys: field names, term tuples, or any keys to previously cached filters """ counts = collections.defaultdict(dict) if isinstance(query, basestring): query = self.parse(query) if isinstance(query, search.Query): query = search.QueryWrapperFilter(query) if not isinstance(query, search.CachingWrapperFilter): query = search.CachingWrapperFilter(query) for key in keys: filters = self.filters.get(key) if isinstance(filters, search.Filter): counts[key] = self.count(filter=BooleanFilter.all(query, filters)) elif isinstance(filters, collections.Mapping): for value in filters: counts[key][value] = self.count(filter=BooleanFilter.all(query, filters[value])) elif isinstance(key, basestring): counts[key] = self.groupby(key, Query.alldocs(), filter=query).facets else: name, value = key counts[name][value] = self.count(filter=BooleanFilter.all(query, self.filters[name][value])) return dict(counts)
[docs] def groupby(self, field, query, filter=None, count=None, start=0, **attrs): "Return `Hits`_ grouped by field using a `GroupingSearch`_." return GroupingSearch(field, **attrs).search(self, self.parse(query), filter, count, start)
[docs] def sorter(self, field, type='string', parser=None, reverse=False): "Return `SortField`_ with cached attributes if available." sorter = self.sorters.get(field, SortField(field, type, parser, reverse)) return sorter if sorter.reverse == reverse else SortField(sorter.field, sorter.typename, sorter.parser, reverse)
[docs] def comparator(self, field, type='string', parser=None, multi=False): """Return cache of field values suitable for sorting, using a cached `SortField`_ if available. Parsing values into an array is memory optimized. Map values into a list for speed optimization. Comparators are not thread-safe. :param name: field name :param type: type object or name compatible with FieldCache :param parser: lucene FieldCache.Parser or callable applied to field values :param multi: retrieve multi-valued string terms as a tuple """ return self.sorter(field, type, parser).comparator(self, multi)
[docs] def distances(self, lng, lat, lngfield, latfield): "Return distance comparator computed from cached lat/lng fields." arrays = (self.comparator(field, 'double') for field in (lngfield, latfield)) return DistanceComparator(lng, lat, *arrays)
[docs] def spellchecker(self, field): "Return and cache spellchecker for given field." try: return self.spellcheckers[field] except KeyError: return self.spellcheckers.setdefault(field, SpellChecker(self.terms(field, counts=True)))
[docs] def suggest(self, field, prefix, count=None): "Return ordered suggested words for prefix." return self.spellchecker(field).suggest(prefix, count)
[docs] def correct(self, field, text, distance=2): """Generate potential words ordered by increasing edit distance and decreasing frequency. For optimal performance only iterate the required slice size of corrections. :param distance: the maximum edit distance to consider for enumeration """ return itertools.chain.from_iterable(itertools.islice(self.spellchecker(field).correct(text), distance + 1))
[docs] def match(self, document, *queries): "Generate scores for all queries against a given document mapping." searcher = index.memory.MemoryIndex() for name, value in document.items(): if isinstance(value, basestring): value = value, self.analyzer elif isinstance(value, analysis.TokenStream): value = value, searcher.addField(name, *value) return ( for query in queries)
[docs] def termsfilter(self, field, values=()): """Return registered `TermsFilter`_, which will be refreshed whenever the searcher is reopened. .. versionadded:: 1.7 .. note:: This interface is experimental and might change in incompatible ways in the next release. """ termsfilter = TermsFilter(field, values) termsfilter.refresh(self) self.termsfilters.add(termsfilter) return termsfilter
[docs]class MultiSearcher(IndexSearcher): """IndexSearcher with underlying lucene MultiReader. :param reader: directory paths, Directories, IndexReaders, or a single MultiReader :param analyzer: lucene Analyzer, default StandardAnalyzer """ def __init__(self, reader, analyzer=None): IndexSearcher.__init__(self, reader, analyzer) self.indexReaders = [index.DirectoryReader.cast_(context.reader()) for context in self.context.children()] self.version = sum(reader.version for reader in self.indexReaders) def __getattr__(self, name): return getattr(index.MultiReader.cast_(self.indexReader), name) def openIfChanged(self): readers = list(map(index.DirectoryReader.openIfChanged, self.indexReaders)) if any(readers): return index.MultiReader([new or old.incRef() or old for new, old in zip(readers, self.indexReaders)]) @property def timestamp(self): return max(IndexReader(reader).timestamp for reader in self.indexReaders)
[docs]class IndexWriter(index.IndexWriter): """Inherited lucene IndexWriter. Supports setting fields parameters explicitly, so documents can be represented as dictionaries. :param directory: directory path or lucene Directory, default RAMDirectory :param mode: file mode (rwa), except updating (+) is implied :param analyzer: lucene Analyzer, default StandardAnalyzer :param version: lucene Version argument passed to IndexWriterConfig or StandardAnalyzer, default is latest :param attrs: additional attributes to set on IndexWriterConfig """ __len__ = index.IndexWriter.numDocs parse = IndexSearcher.__dict__['parse'] def __init__(self, directory=None, mode='a', analyzer=None, version=None, **attrs): self.shared = closing() if version is None: version = util.Version.LATEST config = index.IndexWriterConfig(version, self.shared.analyzer(analyzer, version)) config.openMode = index.IndexWriterConfig.OpenMode.values()['wra'.index(mode)] for name, value in attrs.items(): setattr(config, name, value) self.policy = config.indexDeletionPolicy = index.SnapshotDeletionPolicy(config.indexDeletionPolicy) index.IndexWriter.__init__(self,, config) self.fields = {}
[docs] def __del__(self): if hash(self): self.close()
[docs] def check(cls, directory, fix=False): "Check and optionally fix unlocked index, returning lucene CheckIndex.Status." with as directory: checkindex = index.CheckIndex(directory) lock = directory.makeLock(cls.WRITE_LOCK_NAME) assert lock.obtain(), "index must not be opened by any writer" with contextlib.closing(lock): status = checkindex.checkIndex() if fix: checkindex.fixIndex(status) return status
[docs] def set(self, name, cls=Field, **settings): """Assign settings to field name and return the field. :param name: registered name of field :param cls: optional `Field`_ constructor :param settings: stored, indexed, etc. options compatible with `Field`_ """ field = self.fields[name] = cls(name, **settings) return field
[docs] def document(self, items=(), **terms): "Return lucene Document from mapping of field names to one or multiple values." doc = document.Document() for name, values in dict(items, **terms).items(): if isinstance(values, Atomic): values = values, for field in self.fields[name].items(*values): doc.add(field) return doc
[docs] def add(self, document=(), **terms): "Add :meth:`document` to index with optional boost." self.addDocument(self.document(document, **terms))
[docs] def update(self, name, value='', document=(), **terms): """Atomically delete documents which match given term and add the new :meth:`document`. .. versionchanged:: 1.7 update in-place if only DocValues are given """ doc = self.document(document, **terms) term = index.Term(name, *[value] if value else doc.getValues(name)) fields = list(doc.iterator()) if not all(field.fieldType().docValueType() for field in fields): self.updateDocument(term, doc) elif fields: self.updateDocValues(term, *fields)
[docs] def delete(self, *query, **options): """Remove documents which match given query or term. :param query: :meth:`` compatible query, or optimally a name and value :param options: additional :meth:`Analyzer.parse` options """ parse = self.parse if len(query) == 1 else index.Term self.deleteDocuments(parse(*query, **options))
[docs] def __iadd__(self, directory): "Add directory (or reader, searcher, writer) to index." with, 'directory', directory)) as directory: self.addIndexes([directory]) return self
[docs] def snapshot(self): """Return context manager of an index commit snapshot. .. versionchanged:: 1.4 lucene identifies snapshots by commit generation """ commit = self.policy.snapshot() try: yield commit finally: self.policy.release(commit)
def __enter__(self): return self def __exit__(self, *args): if any(args): self.rollback() else: self.commit() self.close()
[docs]class Indexer(IndexWriter): """An all-purpose interface to an index. Creates an `IndexWriter`_ with a delegated `IndexSearcher`_. :param nrt: optionally use a near real-time searcher """ def __init__(self, directory=None, mode='a', analyzer=None, version=None, nrt=False, **attrs): IndexWriter.__init__(self, directory, mode, analyzer, version, **attrs) IndexWriter.commit(self) self.nrt = nrt self.indexSearcher = IndexSearcher(self if nrt else, self.analyzer) def __getattr__(self, name): if name == 'indexSearcher': raise AttributeError(name) return getattr(self.indexSearcher, name) def __contains__(self, id): return id in self.indexSearcher def __iter__(self): return iter(self.indexSearcher) def __getitem__(self, id): return self.indexSearcher[id]
[docs] def refresh(self, **caches): "Store refreshed searcher with :meth:`IndexSearcher.reopen` caches." self.indexSearcher = self.indexSearcher.reopen(**caches)
[docs] def commit(self, merge=False, **caches): """Commit writes and :meth:`refresh` searcher. :param merge: merge segments with deletes, or optionally specify maximum number of segments """ IndexWriter.commit(self) if merge: if isinstance(merge, bool): self.forceMergeDeletes() else: self.forceMerge(merge) IndexWriter.commit(self) self.refresh(**caches)
[docs]class ParallelIndexer(Indexer): """Indexer which tracks a unique identifying field. Handles atomic updates of rapidly changing fields, managing :attr:`termsfilters`. Assign custom settings or cache custom sorter for primary field if necessary. """ def __init__(self, field, *args, **kwargs): Indexer.__init__(self, *args, **kwargs) self.field = field self.set(field, tokenized=False, omitNorms=True, indexOptions='docs_only') self.termsfilters = {}
[docs] def termsfilter(self, filter, *others): "Return `TermsFilter`_ synced to given filter and optionally associated with other indexers." terms = self.sorter(self.field).terms(filter, *self.readers) termsfilter = self.termsfilters[filter] = TermsFilter(self.field, terms) for other in others: termsfilter.refresh(other) other.termsfilters.add(termsfilter) return termsfilter
[docs] def update(self, value, document=(), **terms): "Atomically update document based on unique field." terms[self.field] = value self.updateDocument(index.Term(self.field, value), self.document(document, **terms))
[docs] def refresh(self, **caches): "Store refreshed searcher and synchronize :attr:`termsfilters`." sorter, segments = self.sorter(self.field), self.segments searcher = self.indexSearcher.reopen(**caches) readers = [reader for reader in searcher.readers if reader.segmentName not in segments] terms = set(sorter.terms(Query.alldocs().filter(cache=False), *readers)) for filter, termsfilter in self.termsfilters.items(): if terms: termsfilter.update(terms, op='andNot', cache=not self.nrt) if readers: termsfilter.update(sorter.terms(filter, *readers), cache=not self.nrt) self.indexSearcher = searcher