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documents.py
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documents.py
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import calendar
import collections
import datetime
import operator
from typing import Callable, Iterator, Sequence
import lucene # noqa
from java.lang import Long
from java.util import Arrays, HashSet
from org.apache.lucene import document, index, search, util
from org.apache.lucene.search import grouping
from .queries import Query
from .utils import convert
FieldType = document.FieldType
class Field(FieldType): # type: ignore
"""Saved parameters which can generate lucene Fields given values.
:param name: name of field
:param boost: boost factor
:param stored, indexed, settings: lucene FieldType attributes
"""
docValuesType = property(FieldType.docValuesType, FieldType.setDocValuesType)
indexOptions = property(FieldType.indexOptions, FieldType.setIndexOptions)
omitNorms = property(FieldType.omitNorms, FieldType.setOmitNorms)
stored = property(FieldType.stored, FieldType.setStored)
storeTermVectorOffsets = property(FieldType.storeTermVectorOffsets, FieldType.setStoreTermVectorOffsets)
storeTermVectorPayloads = property(FieldType.storeTermVectorPayloads, FieldType.setStoreTermVectorPayloads)
storeTermVectorPositions = property(FieldType.storeTermVectorPositions, FieldType.setStoreTermVectorPositions)
storeTermVectors = property(FieldType.storeTermVectors, FieldType.setStoreTermVectors)
tokenized = property(FieldType.tokenized, FieldType.setTokenized)
properties = {name for name in locals() if not name.startswith('__')}
types = {int: 'long', float: 'double'}
types.update(NUMERIC='long', BINARY='string', SORTED='string', SORTED_NUMERIC='long', SORTED_SET='string')
dimensions = property(
getattr(FieldType, 'pointDataDimensionCount', getattr(FieldType, 'pointDimensionCount', None)),
lambda self, count: self.setDimensions(count, Long.BYTES),
)
def __init__(self, name: str, docValuesType='', indexOptions='', dimensions=0, **settings):
super().__init__()
self.name = name
for name in self.properties.intersection(settings):
setattr(self, name, settings.pop(name))
for name in settings:
raise AttributeError("'Field' object has not property '{}".format(name))
if dimensions:
self.dimensions = dimensions
if indexOptions:
self.indexOptions = getattr(index.IndexOptions, indexOptions.upper())
if docValuesType:
self.docValuesType = getattr(index.DocValuesType, docValuesType.upper())
self.docValueClass = getattr(document, docValuesType.title().replace('_', '') + 'DocValuesField')
if self.stored or self.indexed or self.dimensions:
settings = self.settings
del settings['docValuesType']
self.docValueLess = Field(self.name, **settings)
assert self.stored or self.indexed or self.docvalues or self.dimensions
@classmethod
def String(cls, name: str, tokenized=False, omitNorms=True, indexOptions='DOCS', **settings) -> 'Field':
"""Return Field with default settings for strings."""
return cls(name, tokenized=tokenized, omitNorms=omitNorms, indexOptions=indexOptions, **settings)
@classmethod
def Text(cls, name: str, indexOptions='DOCS_AND_FREQS_AND_POSITIONS', **settings) -> 'Field':
"""Return Field with default settings for text."""
return cls(name, indexOptions=indexOptions, **settings)
@property
def indexed(self):
return self.indexOptions != index.IndexOptions.NONE
@property
def docvalues(self):
return self.docValuesType != index.DocValuesType.NONE
@property
def settings(self) -> dict:
"""dict representation of settings"""
defaults = FieldType()
result = {'dimensions': self.dimensions} if self.dimensions else {}
for name in Field.properties:
value = getattr(self, name)
if value != getattr(defaults, name)():
result[name] = value if isinstance(value, int) else str(value)
return result
def items(self, *values) -> Iterator[document.Field]:
"""Generate lucene Fields suitable for adding to a document."""
if self.docvalues:
types = {int: int, float: util.NumericUtils.doubleToSortableLong}
for value in values:
yield self.docValueClass(self.name, types.get(type(value), util.BytesRef)(value))
self = getattr(self, 'docValueLess', self)
if self.dimensions:
for value in values:
if isinstance(value, int):
yield document.LongPoint(self.name, int(value))
else:
yield document.DoublePoint(self.name, value)
if self.indexed:
for value in values:
yield document.Field(self.name, value, self)
elif self.stored:
for value in values:
yield document.StoredField(self.name, value)
class NestedField(Field):
"""Field which indexes every component into its own field.
Original value may be stored for convenience.
:param sep: field separator used on name and values
"""
def __init__(self, name: str, sep: str = '.', **settings):
super().__init__(name, **Field.String(name, **settings).settings)
self.sep = sep
self.names = tuple(self.values(name))
def values(self, value: str) -> Iterator[str]:
"""Generate component field values in order."""
value = value.split(self.sep) # type: ignore
for index in range(1, len(value) + 1):
yield self.sep.join(value[:index])
def items(self, *values: str) -> Iterator[document.Field]:
"""Generate indexed component fields."""
field = getattr(self, 'docValueLess', self)
for value in values:
for name, text in zip(self.names, self.values(value)):
yield document.Field(name, text, field)
if self.docvalues:
yield self.docValueClass(name, util.BytesRef(text))
def prefix(self, value: str) -> Query:
"""Return prefix query of the closest possible prefixed field."""
index = value.count(self.sep)
return Query.prefix(self.names[index], value)
def range(self, start, stop, lower=True, upper=False) -> Query:
"""Return range query of the closest possible prefixed field."""
index = max(value.count(self.sep) for value in (start, stop) if value is not None)
return Query.range(self.names[index], start, stop, lower, upper)
class DateTimeField(Field):
"""Field which indexes datetimes as Point fields of timestamps.
Supports datetimes, dates, and any prefix of time tuples.
"""
def __init__(self, name: str, dimensions: int = 1, **settings):
super().__init__(name, dimensions=dimensions, **settings)
@classmethod
def timestamp(cls, date) -> float:
"""Return utc timestamp from date or time tuple."""
if isinstance(date, datetime.date):
return calendar.timegm(date.timetuple()) + getattr(date, 'microsecond', 0) * 1e-6
return float(calendar.timegm(tuple(date) + (None, 1, 1, 0, 0, 0)[len(date) :]))
def items(self, *dates) -> Iterator[document.Field]:
"""Generate lucene NumericFields of timestamps."""
return super().items(*map(self.timestamp, dates))
def range(self, start, stop, **inclusive) -> Query:
"""Return NumericRangeQuery of timestamps."""
interval = (date and self.timestamp(date) for date in (start, stop))
return Query.ranges(self.name, interval, **inclusive)
def prefix(self, date) -> Query:
"""Return range query which matches the date prefix."""
if isinstance(date, datetime.date):
date = date.timetuple()[: 6 if isinstance(date, datetime.datetime) else 3]
if len(date) == 2 and date[1] == 12: # month must be valid
return self.range(date, (date[0] + 1, 1))
return self.range(date, tuple(date[:-1]) + (date[-1] + 1,))
def duration(self, date, days=0, **delta) -> Query:
"""Return date range query within time span of date.
:param date: origin date or tuple
:param days,delta: timedelta parameters
"""
if not isinstance(date, datetime.date):
date = datetime.datetime(*(tuple(date) + (None, 1, 1)[len(date) :]))
delta = datetime.timedelta(days, **delta) # type: ignore
return self.range(*sorted([date, date + delta]), upper=True)
def within(self, days=0, weeks=0, utc=True, **delta) -> Query:
"""Return date range query within current time and delta.
If the delta is an exact number of days, then dates will be used.
:param days,weeks: number of days to offset from today
:param utc: optionally use utc instead of local time
:param delta: additional timedelta parameters
"""
date = datetime.datetime.utcnow() if utc else datetime.datetime.now()
if not (isinstance(days + weeks, float) or delta):
date = date.date() # type: ignore
return self.duration(date, days, weeks=weeks, **delta)
class SpatialField(Field):
"""Geospatial points, indexed with optional docvalues."""
def __init__(self, name: str, dimensions: int = 1, **settings):
super().__init__(name, dimensions=dimensions, **settings)
def items(self, *points: tuple) -> Iterator[document.Field]:
"""Generate lucene LatLon fields from points (lng, lat)."""
for lng, lat in points:
yield document.LatLonPoint(self.name, lat, lng)
if self.docvalues:
for lng, lat in points:
yield document.LatLonDocValuesField(self.name, lat, lng)
def within(self, lng: float, lat: float, distance: float) -> search.Query:
"""Return range queries for any tiles which could be within distance of given point.
:param lng,lat: point
:param distance: search radius in meters
"""
return document.LatLonPoint.newDistanceQuery(self.name, lat, lng, distance)
def distances(self, lng: str, lat: str) -> search.Query:
"""Return distance SortField."""
return document.LatLonDocValuesField.newDistanceSort(self.name, lat, lng)
class Document(dict):
"""Multimapping of field names to values, but default getters return the first value."""
def __init__(self, doc: document.Document):
for field in doc.iterator():
value = convert(field.numericValue() or field.stringValue() or field.binaryValue())
self.setdefault(field.name(), []).append(value)
def __getitem__(self, name):
return super().__getitem__(name)[0]
def get(self, name: str, default=None):
return super().get(name, [default])[0]
def getlist(self, name: str) -> list:
"""Return list of all values for given field."""
return super().get(name, [])
def dict(self, *names: str, **defaults) -> dict:
"""Return dict representation of document.
:param names: names of multi-valued fields to return as a list
:param defaults: include only given fields, using default values as necessary
"""
defaults.update((name, self[name]) for name in (defaults or self) if name in self)
defaults.update((name, self.getlist(name)) for name in names)
return defaults
class Hit(Document):
"""A Document from a search result, with :attr:`id`, :attr:`score`, and optional :attr:`sortkeys`.
.. versionchanged:: 2.4 keys renamed to :attr:`sortkeys`
"""
def __init__(self, doc: document.Document, id: int, score: float, sortkeys=()):
super().__init__(doc)
self.id, self.score = id, score
self.sortkeys = tuple(map(convert, sortkeys))
def dict(self, *names: str, **defaults) -> dict:
"""Return dict representation of document with __id__, __score__, and any sort __keys__."""
result = super().dict(*names, **defaults)
result.update(__id__=self.id, __score__=self.score)
if self.sortkeys:
result['__sortkeys__'] = self.sortkeys
return result
class Hits:
"""Search results: lazily evaluated and memory efficient.
Provides a read-only sequence interface to hit objects.
.. versionchanged:: 2.3 maxscore option removed; computed property instead
:param searcher: `IndexSearcher`_ which can retrieve documents
:param scoredocs: lucene ScoreDocs
:param count: total number of hits; float indicates estimate
:param fields: optional field selectors
"""
def __init__(self, searcher, scoredocs: Sequence, count=0, fields=None):
self.searcher, self.scoredocs = searcher, scoredocs
if hasattr(count, 'relation'):
cls = int if count.relation == search.TotalHits.Relation.EQUAL_TO else float
count = cls(count.value)
self.count, self.fields = count, fields
def select(self, *fields: str):
"""Only load selected fields."""
self.fields = HashSet(Arrays.asList(fields))
def __len__(self):
return len(self.scoredocs)
def __getitem__(self, index):
if isinstance(index, slice):
scoredocs = list(map(self.scoredocs.__getitem__, range(*index.indices(len(self)))))
return type(self)(self.searcher, scoredocs, self.count, self.fields)
scoredoc = self.scoredocs[index]
keys = search.FieldDoc.cast_(scoredoc).fields if search.FieldDoc.instance_(scoredoc) else ()
doc = self.searcher.doc(scoredoc.doc, *([self.fields] * bool(self.fields)))
return Hit(doc, scoredoc.doc, scoredoc.score, keys)
@property
def ids(self) -> Iterator[int]:
return map(operator.attrgetter('doc'), self.scoredocs)
@property
def scores(self) -> Iterator[float]:
return map(operator.attrgetter('score'), self.scoredocs)
@property
def maxscore(self) -> float:
"""max score of present hits; not necessarily of all matches"""
return max(self.scores, default=float('nan'))
def items(self) -> Iterator[tuple]:
"""Generate zipped ids and scores."""
return map(operator.attrgetter('doc', 'score'), self.scoredocs)
def highlights(self, query: search.Query, **fields: int) -> Iterator[dict]:
"""Generate highlighted fields for each hit.
:param query: lucene Query
:param field: mapping of fields to maxinum number of passages
"""
mapping = self.searcher.highlighter.highlightFields(list(fields), query, list(self.ids), list(fields.values()))
mapping = {field: lucene.JArray_string.cast_(mapping.get(field)) for field in fields}
return (dict(zip(mapping, values)) for values in zip(*mapping.values()))
def docvalues(self, field: str, type=None) -> dict:
"""Return mapping of docs to docvalues."""
return self.searcher.docvalues(field, type).select(self.ids)
def groupby(self, func: Callable, count: int = None, docs: int = None) -> 'Groups':
"""Return ordered list of `Hits`_ grouped by value of function applied to doc ids.
Optionally limit the number of groups and docs per group.
"""
groups = collections.OrderedDict() # type: dict
for scoredoc in self.scoredocs:
value = func(scoredoc.doc)
try:
group = groups[value]
except KeyError:
group = groups[value] = type(self)(self.searcher, [], fields=self.fields)
group.value = value
group.scoredocs.append(scoredoc)
groups = list(groups.values()) # type: ignore
for group in groups:
group.count = len(group)
group.scoredocs = group.scoredocs[:docs]
return Groups(self.searcher, groups[:count], len(groups), self.fields)
def filter(self, func: Callable) -> 'Hits':
"""Return `Hits`_ filtered by function applied to doc ids."""
scoredocs = [scoredoc for scoredoc in self.scoredocs if func(scoredoc.doc)]
return type(self)(self.searcher, scoredocs, fields=self.fields)
def sorted(self, key: Callable, reverse=False) -> 'Hits':
"""Return `Hits`_ sorted by key function applied to doc ids."""
scoredocs = sorted(self.scoredocs, key=lambda scoredoc: key(scoredoc.doc), reverse=reverse)
return type(self)(self.searcher, scoredocs, self.count, self.fields)
class Groups:
"""Sequence of grouped `Hits`_."""
select = Hits.__dict__['select']
def __init__(self, searcher, groupdocs: Sequence, count: int = 0, fields=None):
self.searcher, self.groupdocs = searcher, groupdocs
self.count, self.fields = count, fields
def __len__(self):
return len(self.groupdocs)
def __getitem__(self, index):
hits = groupdocs = self.groupdocs[index]
if isinstance(groupdocs, grouping.GroupDocs):
hits = Hits(self.searcher, groupdocs.scoreDocs, groupdocs.totalHits)
hits.value = convert(groupdocs.groupValue)
hits.fields = self.fields
return hits
@property
def facets(self):
"""mapping of field values and counts"""
return {hits.value: hits.count for hits in self}
class GroupingSearch(grouping.GroupingSearch):
"""Inherited lucene GroupingSearch with optimized faceting.
:param field: unique field name to group by
:param sort: lucene Sort to order groups and docs
:param cache: use unlimited caching
:param attrs: additional attributes to set
"""
def __init__(self, field: str, sort=None, cache=True, **attrs):
super().__init__(field)
self.field = field
if sort:
self.groupSort = self.sortWithinGroup = sort
self.fillSortFields = True
if cache:
self.setCachingInMB(float('inf'), True)
for name in attrs:
getattr(type(self), name).__set__(self, attrs[name])
def __len__(self):
return self.allMatchingGroups.size()
def __iter__(self):
return map(convert, self.allMatchingGroups)
def search(self, searcher, query: search.Query, count: int = None, start: int = 0) -> Groups:
"""Run query and return `Groups`_."""
if count is None:
count = sum(index.DocValues.getSorted(reader, self.field).valueCount for reader in searcher.readers) or 1
topgroups = super().search(searcher, query, start, count - start)
return Groups(searcher, topgroups.groups, topgroups.totalHitCount)