def _combine_union(self, values, object):
if not values: return
set= None
for v in values:
sv= self._standardizeValue_(v, object)
if not sv: continue
if set is None: set = IITreeSet(sv)
else: set.update(sv)
return set
def clear( self ):
"""
Start over fresh.
"""
self._always = IITreeSet()
self._since_only = IOBTree()
self._until_only = IOBTree()
self._since = IOBTree()
self._until = IOBTree()
self._unindex = IOBTree() # 'datum' will be a tuple of date ints
self._length = Length()
def _insert_migrate(self, tree, key, value):
treeset = tree.get(key, None)
if treeset is None:
tree[key] = value
else:
if isinstance(treeset, int):
tree[key] = IITreeSet((treeset, value))
elif isinstance(treeset, IISet):
tree[key] = IITreeSet(treeset)
tree[key].insert(value)
else:
treeset.insert(value)
def getPositions(self, docid, wordid):
""" return a sequence of positions of occurrences of wordid within
a document given by its docid.
"""
encoded_wid = encode((wordid, ))
encoded_document = self._doc2wid[docid].get()
positions = IITreeSet()
for pos, wid in enumerate(decode(encoded_document)):
if wid == wordid:
positions.insert(pos)
return positions
def test_empty(self):
bigsize = BIGSETSIZE
smallsize = 0
small = IISet(xrange(smallsize))
large = IITreeSet(xrange(bigsize))
self.timing(small, large, 'Intersection empty set + large treeset')
self.timing(large, small, 'Intersection large treeset + empty set')
small = IITreeSet(xrange(smallsize))
large = IISet(xrange(bigsize))
self.timing(small, large, 'Intersection empty tree set + large set')
self.timing(large, small, 'Intersection large set + empty tree set')
def clear(self):
"""Start over fresh."""
self._always = IITreeSet()
self._since_only = IOBTree()
self._until_only = IOBTree()
self._since = IOBTree()
self._until = IOBTree()
self._unindex = IOBTree() # 'datum' will be a tuple of date ints
self._length = Length()
if self._counter is None:
self._counter = Length()
else:
self._increment_counter()
def test_empty(self):
bigsize = BIGSETSIZE
smallsize = 0
small = IISet(xrange(smallsize))
large = IITreeSet(xrange(bigsize))
print '\nIntersection empty set + large treeset'
self.timing(small, large)
small = IITreeSet(xrange(smallsize))
large = IISet(xrange(bigsize))
print '\nIntersection empty tree set + large set'
self.timing(small, large)
def getPositions(self, docid, wordid):
""" return a sequence of positions of occurrences of wordid within
a document given by its docid.
"""
encoded_wid = encode((wordid,))
encoded_document = self._doc2wid[docid].get()
positions = IITreeSet()
for pos, wid in enumerate(decode(encoded_document)):
if wid == wordid:
positions.insert(pos)
return positions
def _insertForwardIndexEntry( self, since, until, documentId ):
"""
Insert 'documentId' into the appropriate set based on
'datum'.
"""
if since is None and until is None:
self._always.insert( documentId )
elif since is None:
set = self._until_only.get( until, None )
if set is None:
self._until_only[ until ] = documentId
else:
if isinstance(set, (int, IISet)):
set = self._until_only[until] = IITreeSet((set, documentId))
else:
set.insert( documentId )
elif until is None:
set = self._since_only.get( since, None )
if set is None:
self._since_only[ since ] = documentId
else:
if isinstance(set, (int, IISet)):
set = self._since_only[since] = IITreeSet((set, documentId))
else:
set.insert( documentId )
else:
set = self._since.get( since, None )
if set is None:
self._since[ since ] = documentId
else:
if isinstance(set, (int, IISet)):
set = self._since[since] = IITreeSet((set, documentId))
else:
set.insert( documentId )
set = self._until.get( until, None )
if set is None:
self._until[ until ] = documentId
else:
if isinstance(set, (int, IISet)):
set = self._until[until] = IITreeSet((set, documentId))
else:
set.insert( documentId )
def _finalize_index(self, result, start, end, used_fields):
filtered_result = IITreeSet()
# used_recurrence = False
for documentId in result:
recurrence = self._uid2recurrence.get(documentId)
if recurrence is None:
# This event isn't recurring, so it's a match:
filtered_result.add(documentId)
continue
# used_recurrence = True
match = False
# This is a possible place where optimizations can be done if
# necessary. For example, for periods where the start and end
# date is the same, we can first check if the start time and
# and time of the date falls inbetween the start and end times
# of the period, so to avoid expansion. But most likely this
# will have a very small impact on speed, so I skip this until
# it actually becomes a problem.
if start is not None:
event_start = datetime(*self._uid2start[documentId][:6])
else:
event_start = None
if end is not None:
event_duration = self._uid2duration[documentId]
event_end = event_start + event_duration
else:
event_end = None
for occurrence in recurrence._iter():
utc_occurrence = datetime(*occurrence.utctimetuple()[:6])
if event_start is not None and utc_occurrence < event_start:
# XXX we should add a counter and break after 10000 occurrences.
continue
if event_end is not None and utc_occurrence > event_end:
break
# The start of this occurrence starts between the start and end date of
# the query:
match = True
break
if match:
filtered_result.add(documentId)
# if used_recurrence:
used_fields += (self.recurrence_attr,)
return filtered_result, used_fields
def test_large(self):
bigsize = BIGSETSIZE / 10
small = IITreeSet(xrange(bigsize))
large = IITreeSet(xrange(bigsize))
print '\nIntersection Large tree sets'
self.timing(small, large)
small = IISet(xrange(bigsize))
large = IISet(xrange(bigsize))
print '\nIntersection Large sets'
self.timing(small, large)
small = set(xrange(bigsize))
large = set(xrange(bigsize))
self.pytiming(small, large)
def insertForwardIndexEntry(self, entry, documentId):
"""Take the entry provided and put it in the correct place
in the forward index.
This will also deal with creating the entire row if necessary.
"""
indexRow = self._index.get(entry, _marker)
# Make sure there's actually a row there already. If not, create
# an IntSet and stuff it in first.
if indexRow is _marker:
self._index[entry] = documentId
# XXX _length needs to be migrated to Length object
try:
self._length.change(1)
except AttributeError:
if isinstance(self.__len__, BTrees.Length.Length):
self._length = self.__len__
del self.__len__
self._length.change(1)
else:
try: indexRow.insert(documentId)
except AttributeError:
# index row is an int
indexRow=IITreeSet((indexRow, documentId))
self._index[entry] = indexRow
def test_None(self):
bigsize = BIGSETSIZE
large = IITreeSet(xrange(bigsize))
print '\nIntersection large, None'
self.timing(large, None)
print '\nIntersection None, large'
self.timing(None, large)
def _apply_index(self, request, cid=''):
'''see 'PluggableIndex'.
What is *cid* for???
'''
__traceback_info__ = self.id
record = parseIndexRequest(request, self.id, self.query_options)
terms = record.keys
if not terms: return
__traceback_info__ = self.id, terms
if len(terms) == 1:
if isinstance(terms[0], StringTypes):
terms = self._getLexicon().termToWordIds(terms[0])
if not terms: return None, self.id
r = self._search(IITreeSet(terms), intersection, record)
if record.get('phrase'):
phrase = self._val2UnindexVal(terms)
filter = lambda did, idx=self._unindex: phrase in idx[did]
if record.get('isearch'):
# maybe, we want to do something different when 'dm.incrementalsearch'
# is not available.
# On the other hand, 'isearch' should not be called for then.
from dm.incrementalsearch import IFilter_int, IAnd_int
r = IAnd_int(r, IFilter_int(filter))
r.complete()
else:
r = IISet((did for did in r.keys() if filter(did)))
return r, self.id
def test_small(self):
bigsize = BIGSETSIZE
smallsize = SMALLSETSIZE
small = IITreeSet(xrange(smallsize))
large = IITreeSet(xrange(smallsize))
print '\nIntersection small tree sets'
self.timing(small, large)
small = IISet(xrange(smallsize))
large = IISet(xrange(smallsize))
print '\nIntersection small sets'
self.timing(small, large)
small = set(xrange(bigsize))
large = set(xrange(bigsize))
self.pytiming(small, large)
def __init__(self, set):
'''query returning *set*.
*set* must be an 'IISet' or 'IITreeSet' of catalog record ids.
'''
if not isinstance(set, (IISet, IITreeSet)): set = IITreeSet(set)
self._set = set
def group(self, seq):
sortIndex = self._sortIndex; sortReverse = self._sortReverse
ns = len(seq); ni = len(sortIndex)
if ns >= 0.1 * ni:
# result large compared to index -- sort via index
handled = IISet(); hn = 0
_load = getattr(sortIndex, '_load', None)
if _load is None:
# not an optimized index
items = sortIndex.items()
_load = lambda (x1, x2): x2
if sortReverse: items.reverse()
elif sortReverse:
gRO = getattr(sortIndex, 'getReverseOrder', None)
items = gRO and gRO()
if items is None:
items = list(sortIndex._index.keys()); items.reverse()
else: items = sortIndex._index.keys()
for i in items:
ids = intersection(seq, _load(i))
if ids:
handled.update(ids); hn += len(ids)
yield i, ids
if hn != len(seq): yield None, difference(seq, handled)
else:
# result relatively small -- sort via result
m = OOBTree()
keyFor = getattr(sortIndex, 'keyForDocument', None)
# work around "nogopip" bug: it defines "keyForDocument" as an integer
if not callable(keyFor):
# this will fail, when the index neither defines a reasonable
# "keyForDocument" nor "documentToKeyMap". In this case,
# the index cannot be used for sorting.
keyFor = lambda doc, map=sortIndex.documentToKeyMap(): map[doc]
noValue = IITreeSet()
for doc in seq.keys():
try: k = keyFor(doc)
except KeyError: noValue.insert(doc); continue
l = m.get(k)
if l is None: l = m[k] = IITreeSet()
l.insert(doc)
items = m.items()
if sortReverse: items = list(items); items.reverse()
for i in items: yield i
if noValue: yield None, noValue
def __init__(self, principalId):
self.index = OIBTree()
self.messages = IOBTree()
self.services = OOBTree()
self.readstatus = IITreeSet()
self.principalId = principalId
self._next = Length(1)
def _insertAux(self, index, term, docId):
'''index *docId* under *term*.'''
dl = index.get(term)
if dl is None:
index[term] = docId
return
if isinstance(dl, int): dl = index[term] = IITreeSet((dl, ))
dl.insert(docId)
class FilteredSetBase(Persistent):
# A pre-calculated result list based on an expression.
def __init__(self, id, expr):
self.id = id
self.expr = expr
self.clear()
def clear(self):
self.ids = IITreeSet()
def index_object(self, documentId, obj):
raise NotImplementedError('index_object not defined')
def unindex_object(self, documentId):
try:
self.ids.remove(documentId)
except KeyError:
pass
def getId(self):
return self.id
def getExpression(self):
# Get the expression.
return self.expr
def getIds(self):
# Get the IDs of all objects for which the expression is True.
return self.ids
def getType(self):
return self.meta_type
def setExpression(self, expr):
# Set the expression.
self.expr = expr
def __repr__(self):
return '{0}: ({1}) {2}'.format(
self.id, self.expr,
list(map(None, self.ids))
)
__str__ = __repr__
def clear(self):
"""Start over fresh."""
self._always = IITreeSet()
self._since_only = IOBTree()
self._until_only = IOBTree()
self._since = IOBTree()
self._until = IOBTree()
self._unindex = IOBTree() # 'datum' will be a tuple of date ints
self._length = Length()
class FilteredSetBase(Persistent):
# A pre-calculated result list based on an expression.
implements(IFilteredSet)
def __init__(self, id, expr):
self.id = id
self.expr = expr
self.clear()
def clear(self):
self.ids = IITreeSet()
def index_object(self, documentId, obj):
raise RuntimeError, 'index_object not defined'
def unindex_object(self, documentId):
try:
self.ids.remove(documentId)
except KeyError:
pass
def getId(self):
return self.id
def getExpression(self):
# Get the expression.
return self.expr
def getIds(self):
# Get the IDs of all objects for which the expression is True.
return self.ids
def getType(self):
return self.meta_type
def setExpression(self, expr):
# Set the expression.
self.expr = expr
def __repr__(self):
return '%s: (%s) %s' % (self.id, self.expr, map(None, self.ids))
__str__ = __repr__
def index_object(self, docid, obj, threshold=100):
""" hook for (Z)Catalog """
# PathIndex first checks for an attribute matching its id and
# falls back to getPhysicalPath only when failing to get one.
# If self.indexed_attrs is not None, it's value overrides this behavior
attrs = self.indexed_attrs
index = attrs is None and self.id or attrs[0]
path = getattr(obj, index, None)
if path is not None:
if safe_callable(path):
path = path()
if not isinstance(path, (str, tuple)):
raise TypeError('path value must be string or tuple '
'of strings: (%r, %s)' % (index, repr(path)))
else:
try:
path = obj.getPhysicalPath()
except AttributeError:
return 0
if isinstance(path, (list, tuple)):
path = '/' + '/'.join(path[1:])
comps = [p for p in path.split('/') if p]
# Make sure we reindex properly when path change
old_path = self._unindex.get(docid, _marker)
if old_path is not _marker:
if old_path != path:
self.unindex_object(docid, _old=old_path)
# unindex reduces length, we need to counter that
self._length.change(1)
else:
# We only get a new entry if the value wasn't there before.
# If it already existed the length is unchanged
self._length.change(1)
for i, comp in enumerate(comps):
self.insertEntry(comp, docid, i)
# Add terminator
self.insertEntry(None, docid, len(comps) - 1)
# Add full-path indexes, to optimize certain edge cases
parent_path = '/' + '/'.join(comps[:-1])
parents = self._index_parents.get(parent_path, _marker)
if parents is _marker:
self._index_parents[parent_path] = parents = IITreeSet()
parents.insert(docid)
self._index_items[path] = docid
self._unindex[docid] = path
return 1
def _insert(self, term, docId, _isInstance=isinstance, _IntType=int):
'''index *docId* under *term*.'''
i, k = self._findDocList(term, 1)[-1]
dl = i.get(k)
if dl is None:
i[k] = docId
self.__len__.change(1)
return
if _isInstance(dl, _IntType): dl = i[k] = IITreeSet((dl, ))
dl.insert(docId)
def clear(self):
self._index = IITreeSet()
self._index_length = BTrees.Length.Length()
self._index_value = 1
self._unindex = IIBTree()
self._length = BTrees.Length.Length()
if self._counter is None:
self._counter = BTrees.Length.Length()
else:
self._increment_counter()
def _insert(self, term, docId, _isInstance=isinstance, _IntType=IntType):
'''index *docId* under *term*.'''
index = self._index
dl = index.get(term)
if dl is None:
index[term] = docId
self.__len__.change(1)
if self.ReverseOrder: self._reverseOrder.insert(reverseOrder(term))
return
if _isInstance(dl, _IntType): dl = index[term] = IITreeSet((dl, ))
dl.insert(docId)
def test_even_dist(self):
bigsize = BIGSETSIZE
smallsize = SMALLSETSIZE
small = IISet(xrange(0, bigsize, bigsize / smallsize))
large = IITreeSet(xrange(bigsize))
print '\nDifference Small set even distribution + large treeset'
self.timing(small, large)
small = IISet(xrange(0, bigsize, bigsize / smallsize))
large = IISet(xrange(bigsize))
print '\nDifference Small set even distribution + large set'
self.timing(small, large)
def optimize_rangeindex_int_iiset(index):
# migrate internal int and IISet to IITreeSet
logger.info('Converting to IITreeSet for index `%s`.' % index.getId())
for name in ('_since', '_since_only', '_until', '_until_only'):
tree = getattr(index, name, None)
if tree is not None:
logger.info('Converting tree `%s`.' % name)
i = 0
for k, v in tree.items():
if isinstance(v, IISet):
tree[k] = IITreeSet(v)
i += 1
elif isinstance(v, int):
tree[k] = IITreeSet((v, ))
i += 1
if i and i % 10000 == 0:
transaction.savepoint(optimistic=True)
logger.info('Processed %s items.' % i)
transaction.savepoint(optimistic=True)
logger.info('Finished conversion.')
def insertEntry(self, comp, id, level):
""" See IPathIndex
"""
if not self._index.has_key(comp):
self._index[comp] = IOBTree()
if not self._index[comp].has_key(level):
self._index[comp][level] = IITreeSet()
self._index[comp][level].insert(id)
if level > self._depth:
self._depth = level
def test_heavy_end(self):
bigsize = BIGSETSIZE
smallsize = SMALLSETSIZE
small = IISet(xrange(bigsize - smallsize, bigsize))
large = IITreeSet(xrange(bigsize))
print '\nDifference Small set high values + large treeset'
self.timing(small, large)
small = IISet(xrange(bigsize - smallsize, bigsize))
large = IISet(xrange(bigsize))
print '\nDifference Small set high values + large set'
self.timing(small, large)
def insert(self, params):
record = self.tuplify(params)
# Determine the primary key.
primary_key = []
for position, column in self.col_info:
if column.primary:
if record[position] is None:
raise ValueError, (
"No value provided for primary key column %s" %
repr(column.name))
primary_key.append(record[position])
if primary_key:
primary_key = tuple(primary_key)
if self.primary_index.has_key(primary_key):
raise DuplicateError("Primary key %s in use" %
repr(primary_key))
# Add a record.
rid = self.next_rid
self.next_rid += 1 # XXX Hotspot!
record = (rid, ) + record[1:]
self.data[rid] = record
if primary_key:
self.primary_index[primary_key] = rid
# Add to indexes.
for position, column in self.col_info:
name = column.name
value = record[position]
if value is not None:
if self.indexes.has_key(name):
set = self.indexes[name].get(value)
if set is None:
set = IITreeSet()
self.indexes[name][value] = set
set.insert(rid)
# Return the number of rows inserted.
return 1
def group(self, seq):
sortIndex = self._sortIndex; sortReverse = self._sortReverse
ns = len(seq); ni = len(sortIndex)
if ns >= 0.1 * ni:
# result large compared to index -- sort via index
handled = IISet(); hn = 0
_load = getattr(sortIndex, '_load', None)
if _load is None:
# not an optimized index
items = sortIndex.items()
_load = lambda (x1, x2): x2
if sortReverse: items.reverse()
elif sortReverse:
gRO = getattr(sortIndex, 'getReverseOrder', None)
items = gRO and gRO()
if items is None:
items = list(sortIndex._index.keys()); items.reverse()
else: items = sortIndex._index.keys()
for i in items:
ids = intersection(seq, _load(i))
if ids:
handled.update(ids); hn += len(ids)
yield i, ids
if hn != len(seq): yield None, difference(seq, handled)
else:
# result relatively small -- sort via result
keyFor = sortIndex.keyForDocument; m = OOBTree()
noValue = IITreeSet()
for doc in seq.keys():
try: k = keyFor(doc)
except KeyError: noValue.insert(doc); continue
l = m.get(k)
if l is None: l = m[k] = IITreeSet()
l.insert(doc)
items = m.items()
if sortReverse: items = list(items); items.reverse()
for i in items: yield i
if noValue: yield None, noValue
def clear(self):
"""Start over fresh."""
self._always = IITreeSet()
self._since_only = IOBTree()
self._until_only = IOBTree()
self._since = IOBTree()
self._until = IOBTree()
self._unindex = IOBTree() # 'datum' will be a tuple of date ints
self._length = Length()
if self._counter is None:
self._counter = Length()
else:
self._increment_counter()
def test_even_dist(self):
bigsize = BIGSETSIZE
smallsize = SMALLSETSIZE
small = IISet(xrange(0, bigsize, bigsize / smallsize))
large = IITreeSet(xrange(smallsize))
print '\nIntersection small set even distribution + small treeset'
self.timing(small, large)
small = IISet(xrange(0, bigsize, bigsize / smallsize))
large = IITreeSet(xrange(bigsize))
print '\nIntersection small set even distribution + large treeset'
self.timing(small, large)
small = IISet(xrange(0, bigsize, bigsize / smallsize))
large = IISet(xrange(bigsize))
print '\nIntersection small set even distribution + large set'
self.timing(small, large)
small = set(xrange(0, bigsize, bigsize / smallsize))
large = set(xrange(bigsize))
self.pytiming(small, large)
def test_heavy_start(self):
bigsize = BIGSETSIZE
smallsize = SMALLSETSIZE
small = IISet(xrange(smallsize))
large = IITreeSet(xrange(smallsize))
print '\nIntersection small set low values + small treeset'
self.timing(small, large)
small = IISet(xrange(smallsize))
large = IITreeSet(xrange(bigsize))
print '\nIntersection small set low values + large treeset'
self.timing(small, large)
small = IISet(xrange(smallsize))
large = IISet(xrange(bigsize))
print '\nIntersection small set low values + large set'
self.timing(small, large)
small = set(xrange(smallsize))
large = set(xrange(bigsize))
self.pytiming(small, large)
def insertEntry(self, comp, id, level):
""" See IPathIndex
"""
tree = self._index.get(comp, None)
if tree is None:
self._index[comp] = tree = IOBTree()
tree2 = tree.get(level, None)
if tree2 is None:
tree[level] = tree2 = IITreeSet()
tree2.insert(id)
if level > self._depth:
self._depth = level
def insertForwardIndexEntry(self, entry, documentId):
"""Take the entry provided and put it in the correct place
in the forward index.
This will also deal with creating the entire row if necessary.
"""
indexRow = self._index.get(entry, _marker)
# Make sure there's actually a row there already. If not, create
# a set and stuff it in first.
if indexRow is _marker:
# We always use a set to avoid getting conflict errors on
# multiple threads adding a new row at the same time
self._index[entry] = IITreeSet((documentId, ))
self._length.change(1)
else:
try:
indexRow.insert(documentId)
except AttributeError:
# Inline migration: index row with one element was an int at
# first (before Zope 2.13).
indexRow = IITreeSet((indexRow, documentId))
self._index[entry] = indexRow
def _reindex_doc(self, docid, text):
# Touch as few docid->w(docid, score) maps in ._wordinfo as possible.
old_wids = self.get_words(docid)
new_wids = self._lexicon.sourceToWordIds(text)
if old_wids == new_wids:
return len(new_wids)
old_wid2w, old_docw = self._get_frequencies(old_wids)
new_wid2w, new_docw = self._get_frequencies(new_wids)
old_widset = IITreeSet(old_wid2w.keys())
new_widset = IITreeSet(new_wid2w.keys())
in_both_widset = intersection(old_widset, new_widset)
only_old_widset = difference(old_widset, in_both_widset)
only_new_widset = difference(new_widset, in_both_widset)
del old_widset, new_widset
for wid in only_old_widset.keys():
self._del_wordinfo(wid, docid)
for wid in only_new_widset.keys():
self._add_wordinfo(wid, new_wid2w[wid], docid)
for wid in in_both_widset.keys():
# For the Okapi indexer, the "if" will trigger only for words
# whose counts have changed. For the cosine indexer, the "if"
# may trigger for every wid, since W(d) probably changed and
# W(d) is divided into every score.
newscore = new_wid2w[wid]
if old_wid2w[wid] != newscore:
self._add_wordinfo(wid, newscore, docid)
self._docweight[docid] = new_docw
self._docwords[docid] = WidCode.encode(new_wids)
return len(new_wids)
def test_heavy_end(self):
bigsize = BIGSETSIZE
smallsize = SMALLSETSIZE
small = IISet(xrange(bigsize - smallsize, bigsize))
large = IITreeSet(xrange(smallsize))
self.timing(small, large,
'Intersection small set high values + small treeset')
self.timing(large, small,
'Intersection small treeset + small set high values')
small = IISet(xrange(bigsize - smallsize, bigsize))
large = IITreeSet(xrange(bigsize))
self.timing(small, large,
'Intersection small set high values + large treeset')
self.timing(large, small,
'Intersection large treeset + small set high values')
small = IISet(xrange(bigsize - smallsize, bigsize))
large = IISet(xrange(bigsize))
self.timing(small, large,
'Intersection small set high values + large set')
self.timing(large, small,
'\nIntersection large set + small set high values')
def convert_to_booleanindex(catalog, index):
if isinstance(index, BooleanIndex):
return
logger.info('Converting index `%s` to BooleanIndex.' % index.getId())
index.__class__ = BooleanIndex
index._p_changed = True
catalog._catalog._p_changed = True
# convert _unindex from IOBTree to IIBTree
sets = {0: IITreeSet(), 1: IITreeSet()}
old_unindex = index._unindex
index._unindex = _unindex = IIBTree()
for k, v in old_unindex.items():
# docid to value (True, False)
value = int(bool(v))
_unindex[k] = value
sets[value].add(k)
del old_unindex
# convert _index from OOBTree to IITreeSet and set lengths
false_length = len(sets[0])
true_length = len(sets[1])
index._length = Length(false_length + true_length)
# we put the smaller set into the index
if false_length < true_length:
index._index_value = 0
index._index_length = Length(false_length)
index._index = sets[0]
del sets[1]
else:
index._index_value = 1
index._index_length = Length(true_length)
index._index = sets[1]
del sets[0]
transaction.savepoint(optimistic=True)
logger.info('Finished conversion.')
def index_object(self, documentId, obj, threshold=None):
"""Index an object.
- ``documentId`` is the integer ID of the document.
- ``obj`` is the object to be indexed.
- ``threshold`` is the number of words to process between committing
subtransactions. If None, subtransactions are disabled.
For each name in ``getIndexSourceNames``, try to get the named
attribute from ``obj``.
- If the object does not have the attribute, do not add it to the
index for that name.
- If the attribute is a callable, call it to get the value. If
calling it raises an AttributeError, do not add it to the index.
for that name.
"""
# Clear the data structures before indexing the object. This will ensure
# we don't leave any stale data behind when an object gets reindexed.
self.unindex_object(documentId)
### 1. Get the values.
start = self._getattr(self.start_attr, obj)
end = self._getattr(self.end_attr, obj)
if start is None:
# Ignore calls if the obj does not have the start field.
return False
if end is None:
# Singular event
end = start
recurrence = self._getattr(self.recurrence_attr, obj)
if not recurrence:
rule = None
elif isinstance(recurrence, basestring):
# XXX trap and log errors
rule = rrule.rrulestr(recurrence, dtstart=start)
elif isinstance(recurrence, rrule.rrulebase):
rule = recurrence
else:
#XXX Log error
rule = None
# Strip out times from the recurrence:
if rule is not None:
sync_timezone(rule, start.tzinfo)
### 2. Make them into what should be indexed.
# XXX Naive events are not comparable to timezoned events, so we convert
# everything to utctimetuple(). This means naive events are assumed to
# be GMT, but we can live with that at the moment.
start_value = start.utctimetuple()
end_value = end.utctimetuple()
# The end value should be the end of the recurrence, if any:
if rule is not None:
if is_open_ended(rule):
# This recurrence is open ended
end_value = None
else:
duration = end - start
allrecs = [x for x in rule._iter()]
if allrecs:
last = allrecs[-1] + duration
else:
# Real data may have invalud recurrence rules,
# which end before the start for example.
# Then we end up here.
last = end
end_value = last.utctimetuple()
### 3. Store everything in the indexes:
row = self._start2uid.get(start_value, None)
if row is None:
row = IITreeSet((documentId,))
self._start2uid[start_value] = row
else:
row.insert(documentId)
row = self._end2uid.get(end_value, None)
if row is None:
row = IITreeSet((documentId,))
self._end2uid[end_value] = row
else:
row.insert(documentId)
self._uid2start[documentId] = start_value
self._uid2recurrence[documentId] = rule
self._uid2end[documentId] = end_value
self._uid2duration[documentId] = end - start
return True
def remove(self, obj):
return IITreeSet.remove(self, self._get_id(obj))
class DateRangeIndex(UnIndex):
"""Index for date ranges, such as the "effective-expiration" range in CMF.
Any object may return None for either the start or the end date: for the
start date, this should be the logical equivalent of "since the beginning
of time"; for the end date, "until the end of time".
Therefore, divide the space of indexed objects into four containers:
- Objects which always match (i.e., they returned None for both);
- Objects which match after a given time (i.e., they returned None for the
end date);
- Objects which match until a given time (i.e., they returned None for the
start date);
- Objects which match only during a specific interval.
"""
security = ClassSecurityInfo()
meta_type = "DateRangeIndex"
query_options = ('query', )
manage_options = ({'label': 'Properties',
'action': 'manage_indexProperties'},
)
since_field = until_field = None
# int(DateTime('1000/1/1 0:00 GMT-12').millis() / 1000 / 60)
floor_value = -510162480
# int(DateTime('2499/12/31 0:00 GMT+12').millis() / 1000 / 60)
ceiling_value = 278751600
def __init__(self, id, since_field=None, until_field=None,
caller=None, extra=None,
floor_value=None, ceiling_value=None):
if extra:
since_field = extra.since_field
until_field = extra.until_field
floor_value = getattr(extra, 'floor_value', None)
ceiling_value = getattr(extra, 'ceiling_value', None)
self._setId(id)
self._edit(since_field, until_field, floor_value, ceiling_value)
self.clear()
security.declareProtected(view, 'getSinceField')
def getSinceField(self):
"""Get the name of the attribute indexed as start date.
"""
return self._since_field
security.declareProtected(view, 'getUntilField')
def getUntilField(self):
"""Get the name of the attribute indexed as end date.
"""
return self._until_field
security.declareProtected(view, 'getFloorValue')
def getFloorValue(self):
""" """
return self.floor_value
security.declareProtected(view, 'getCeilingValue')
def getCeilingValue(self):
""" """
return self.ceiling_value
manage_indexProperties = DTMLFile('manageDateRangeIndex', _dtmldir)
security.declareProtected(manage_zcatalog_indexes, 'manage_edit')
def manage_edit(self, since_field, until_field, floor_value,
ceiling_value, REQUEST):
""" """
self._edit(since_field, until_field, floor_value, ceiling_value)
REQUEST['RESPONSE'].redirect('%s/manage_main'
'?manage_tabs_message=Updated'
% REQUEST.get('URL2'))
security.declarePrivate('_edit')
def _edit(self, since_field, until_field, floor_value=None,
ceiling_value=None):
"""Update the fields used to compute the range.
"""
self._since_field = since_field
self._until_field = until_field
if floor_value is not None:
self.floor_value = int(floor_value)
if ceiling_value is not None:
self.ceiling_value = int(ceiling_value)
security.declareProtected(manage_zcatalog_indexes, 'clear')
def clear(self):
"""Start over fresh."""
self._always = IITreeSet()
self._since_only = IOBTree()
self._until_only = IOBTree()
self._since = IOBTree()
self._until = IOBTree()
self._unindex = IOBTree() # 'datum' will be a tuple of date ints
self._length = Length()
if self._counter is None:
self._counter = Length()
else:
self._increment_counter()
def getEntryForObject(self, documentId, default=None):
"""Get all information contained for the specific object
identified by 'documentId'. Return 'default' if not found.
"""
return self._unindex.get(documentId, default)
def index_object(self, documentId, obj, threshold=None):
"""Index an object:
- 'documentId' is the integer ID of the document
- 'obj' is the object to be indexed
- ignore threshold
"""
if self._since_field is None:
return 0
since = getattr(obj, self._since_field, None)
if safe_callable(since):
since = since()
since = self._convertDateTime(since)
until = getattr(obj, self._until_field, None)
if safe_callable(until):
until = until()
until = self._convertDateTime(until)
datum = (since, until)
old_datum = self._unindex.get(documentId, None)
if datum == old_datum: # No change? bail out!
return 0
self._increment_counter()
if old_datum is not None:
old_since, old_until = old_datum
self._removeForwardIndexEntry(old_since, old_until, documentId)
self._insertForwardIndexEntry(since, until, documentId)
self._unindex[documentId] = datum
return 1
def unindex_object(self, documentId):
"""Remove the object corresponding to 'documentId' from the index.
"""
datum = self._unindex.get(documentId, None)
if datum is None:
return
self._increment_counter()
since, until = datum
self._removeForwardIndexEntry(since, until, documentId)
del self._unindex[documentId]
def uniqueValues(self, name=None, withLengths=0):
"""Return a sequence of unique values for 'name'.
If 'withLengths' is true, return a sequence of tuples, in
the form '(value, length)'.
"""
if name not in (self._since_field, self._until_field):
raise StopIteration
if name == self._since_field:
sets = (self._since, self._since_only)
else:
sets = (self._until, self._until_only)
if not withLengths:
for s in sets:
for key in s.keys():
yield key
else:
for s in sets:
for key, value in s.items():
if isinstance(value, int):
yield (key, 1)
else:
yield (key, len(value))
def getRequestCacheKey(self, record, resultset=None):
term = self._convertDateTime(record.keys[0])
tid = str(term)
# unique index identifier
iid = '_%s_%s_%s' % (self.__class__.__name__,
self.id, self.getCounter())
# record identifier
if resultset is None:
rid = '_%s' % (tid, )
else:
rid = '_inverse_%s' % (tid, )
return (iid, rid)
def _apply_index(self, request, resultset=None):
record = IndexQuery(request, self.id, self.query_options,
self.operators, self.useOperator)
if record.keys is None:
return None
return (self.query_index(record, resultset=resultset),
(self._since_field, self._until_field))
def query_index(self, record, resultset=None):
cache = self.getRequestCache()
if cache is not None:
cachekey = self.getRequestCacheKey(record, resultset)
cached = cache.get(cachekey, None)
if cached is not None:
if resultset is None:
return cached
else:
return difference(resultset, cached)
term = self._convertDateTime(record.keys[0])
if resultset is None:
# Aggregate sets for each bucket separately, to avoid
# large-small union penalties.
until_only = multiunion(self._until_only.values(term))
since_only = multiunion(self._since_only.values(None, term))
until = multiunion(self._until.values(term))
since = multiunion(self._since.values(None, term))
bounded = intersection(until, since)
# Merge from smallest to largest.
result = multiunion([bounded, until_only, since_only,
self._always])
if cache is not None:
cache[cachekey] = result
return result
else:
# Compute the inverse and subtract from res
until_only = multiunion(self._until_only.values(None, term - 1))
since_only = multiunion(self._since_only.values(term + 1))
until = multiunion(self._until.values(None, term - 1))
since = multiunion(self._since.values(term + 1))
result = multiunion([since, since_only, until_only, until])
if cache is not None:
cache[cachekey] = result
return difference(resultset, result)
def _insert_migrate(self, tree, key, value):
treeset = tree.get(key, None)
if treeset is None:
tree[key] = IITreeSet((value, ))
else:
if isinstance(treeset, IITreeSet):
treeset.insert(value)
elif isinstance(treeset, int):
tree[key] = IITreeSet((treeset, value))
else:
tree[key] = IITreeSet(treeset)
tree[key].insert(value)
def _insertForwardIndexEntry(self, since, until, documentId):
"""Insert 'documentId' into the appropriate set based on 'datum'.
"""
if since is None and until is None:
self._always.insert(documentId)
elif since is None:
self._insert_migrate(self._until_only, until, documentId)
elif until is None:
self._insert_migrate(self._since_only, since, documentId)
else:
self._insert_migrate(self._since, since, documentId)
self._insert_migrate(self._until, until, documentId)
def _remove_delete(self, tree, key, value):
treeset = tree.get(key, None)
if treeset is not None:
if isinstance(treeset, int):
del tree[key]
else:
treeset.remove(value)
if not treeset:
del tree[key]
def _removeForwardIndexEntry(self, since, until, documentId):
"""Remove 'documentId' from the appropriate set based on 'datum'.
"""
if since is None and until is None:
self._always.remove(documentId)
elif since is None:
self._remove_delete(self._until_only, until, documentId)
elif until is None:
self._remove_delete(self._since_only, since, documentId)
else:
self._remove_delete(self._since, since, documentId)
self._remove_delete(self._until, until, documentId)
def _convertDateTime(self, value):
if value is None:
return value
if isinstance(value, (str, datetime)):
dt_obj = DateTime(value)
value = dt_obj.millis() / 1000 / 60 # flatten to minutes
elif isinstance(value, DateTime):
value = value.millis() / 1000 / 60 # flatten to minutes
if value > MAX32 or value < -MAX32:
# t_val must be integer fitting in the 32bit range
raise OverflowError('%s is not within the range of dates allowed'
'by a DateRangeIndex' % value)
value = int(value)
# handle values outside our specified range
if value > self.ceiling_value:
return None
elif value < self.floor_value:
return None
return value
def _wrapLookup(r):
if not isinstance(r, (IISet, IITreeSet)):
r = IITreeSet(r.keys())
return r
def clear(self):
self.ids = IITreeSet()
def readstatus(self):
self.readstatus = IITreeSet()
return self.readstatus
class DateRangeIndex(UnIndex):
"""Index for date ranges, such as the "effective-expiration" range in CMF.
Any object may return None for either the start or the end date: for the
start date, this should be the logical equivalent of "since the beginning
of time"; for the end date, "until the end of time".
Therefore, divide the space of indexed objects into four containers:
- Objects which always match (i.e., they returned None for both);
- Objects which match after a given time (i.e., they returned None for the
end date);
- Objects which match until a given time (i.e., they returned None for the
start date);
- Objects which match only during a specific interval.
"""
implements(IDateRangeIndex)
security = ClassSecurityInfo()
meta_type = "DateRangeIndex"
query_options = ("query",)
manage_options = ({"label": "Properties", "action": "manage_indexProperties"},)
since_field = until_field = None
# int(DateTime('1000/1/1 0:00 GMT-12').millis() / 1000 / 60)
floor_value = -510162480
# int(DateTime('2499/12/31 0:00 GMT+12').millis() / 1000 / 60)
ceiling_value = 278751600
def __init__(
self, id, since_field=None, until_field=None, caller=None, extra=None, floor_value=None, ceiling_value=None
):
if extra:
since_field = extra.since_field
until_field = extra.until_field
floor_value = getattr(extra, "floor_value", None)
ceiling_value = getattr(extra, "ceiling_value", None)
self._setId(id)
self._edit(since_field, until_field, floor_value, ceiling_value)
self.clear()
security.declareProtected(view, "getSinceField")
def getSinceField(self):
"""Get the name of the attribute indexed as start date.
"""
return self._since_field
security.declareProtected(view, "getUntilField")
def getUntilField(self):
"""Get the name of the attribute indexed as end date.
"""
return self._until_field
security.declareProtected(view, "getFloorValue")
def getFloorValue(self):
""""""
return self.floor_value
security.declareProtected(view, "getCeilingValue")
def getCeilingValue(self):
""""""
return self.ceiling_value
manage_indexProperties = DTMLFile("manageDateRangeIndex", _dtmldir)
security.declareProtected(manage_zcatalog_indexes, "manage_edit")
def manage_edit(self, since_field, until_field, floor_value, ceiling_value, REQUEST):
""""""
self._edit(since_field, until_field, floor_value, ceiling_value)
REQUEST["RESPONSE"].redirect("%s/manage_main" "?manage_tabs_message=Updated" % REQUEST.get("URL2"))
security.declarePrivate("_edit")
def _edit(self, since_field, until_field, floor_value=None, ceiling_value=None):
"""Update the fields used to compute the range.
"""
self._since_field = since_field
self._until_field = until_field
if floor_value is not None:
self.floor_value = int(floor_value)
if ceiling_value is not None:
self.ceiling_value = int(ceiling_value)
security.declareProtected(manage_zcatalog_indexes, "clear")
def clear(self):
"""Start over fresh."""
self._always = IITreeSet()
self._since_only = IOBTree()
self._until_only = IOBTree()
self._since = IOBTree()
self._until = IOBTree()
self._unindex = IOBTree() # 'datum' will be a tuple of date ints
self._length = Length()
def getEntryForObject(self, documentId, default=None):
"""Get all information contained for the specific object
identified by 'documentId'. Return 'default' if not found.
"""
return self._unindex.get(documentId, default)
def index_object(self, documentId, obj, threshold=None):
"""Index an object:
- 'documentId' is the integer ID of the document
- 'obj' is the object to be indexed
- ignore threshold
"""
if self._since_field is None:
return 0
since = getattr(obj, self._since_field, None)
if safe_callable(since):
since = since()
since = self._convertDateTime(since)
until = getattr(obj, self._until_field, None)
if safe_callable(until):
until = until()
until = self._convertDateTime(until)
datum = (since, until)
old_datum = self._unindex.get(documentId, None)
if datum == old_datum: # No change? bail out!
return 0
if old_datum is not None:
old_since, old_until = old_datum
self._removeForwardIndexEntry(old_since, old_until, documentId)
self._insertForwardIndexEntry(since, until, documentId)
self._unindex[documentId] = datum
return 1
def unindex_object(self, documentId):
"""Remove the object corresponding to 'documentId' from the index.
"""
datum = self._unindex.get(documentId, None)
if datum is None:
return
since, until = datum
self._removeForwardIndexEntry(since, until, documentId)
del self._unindex[documentId]
def uniqueValues(self, name=None, withLengths=0):
"""Return a list of unique values for 'name'.
If 'withLengths' is true, return a sequence of tuples, in
the form '(value, length)'.
"""
if not name in (self._since_field, self._until_field):
return []
if name == self._since_field:
t1 = self._since
t2 = self._since_only
else:
t1 = self._until
t2 = self._until_only
result = []
if not withLengths:
result.extend(t1.keys())
result.extend(t2.keys())
else:
for key in t1.keys():
set = t1[key]
if isinstance(set, int):
length = 1
else:
length = len(set)
result.append((key, length))
for key in t2.keys():
set = t2[key]
if isinstance(set, int):
length = 1
else:
length = len(set)
result.append((key, length))
return tuple(result)
def _cache_key(self, catalog):
cid = catalog.getId()
counter = getattr(aq_base(catalog), "getCounter", None)
if counter is not None:
return "%s_%s" % (cid, counter())
return cid
def _apply_index(self, request, resultset=None):
"""Apply the index to query parameters given in 'request', which
should be a mapping object.
If the request does not contain the needed parameters, then
return None.
Otherwise return two objects. The first object is a ResultSet
containing the record numbers of the matching records. The
second object is a tuple containing the names of all data fields
used.
"""
iid = self.id
record = parseIndexRequest(request, iid, self.query_options)
if record.keys is None:
return None
term = self._convertDateTime(record.keys[0])
REQUEST = aq_get(self, "REQUEST", None)
if REQUEST is not None:
catalog = aq_parent(aq_parent(aq_inner(self)))
if catalog is not None:
key = self._cache_key(catalog)
cache = REQUEST.get(key, None)
tid = isinstance(term, int) and term / 10 or "None"
if resultset is None:
cachekey = "_daterangeindex_%s_%s" % (iid, tid)
else:
cachekey = "_daterangeindex_inverse_%s_%s" % (iid, tid)
if cache is None:
cache = REQUEST[key] = RequestCache()
else:
cached = cache.get(cachekey, None)
if cached is not None:
if resultset is None:
return (cached, (self._since_field, self._until_field))
else:
return (difference(resultset, cached), (self._since_field, self._until_field))
if resultset is None:
# Aggregate sets for each bucket separately, to avoid
# large-small union penalties.
until_only = multiunion(self._until_only.values(term))
since_only = multiunion(self._since_only.values(None, term))
until = multiunion(self._until.values(term))
# Total result is bound by resultset
if REQUEST is None:
until = intersection(resultset, until)
since = multiunion(self._since.values(None, term))
bounded = intersection(until, since)
# Merge from smallest to largest.
result = multiunion([bounded, until_only, since_only, self._always])
if REQUEST is not None and catalog is not None:
cache[cachekey] = result
return (result, (self._since_field, self._until_field))
else:
# Compute the inverse and subtract from res
until_only = multiunion(self._until_only.values(None, term - 1))
since_only = multiunion(self._since_only.values(term + 1))
until = multiunion(self._until.values(None, term - 1))
since = multiunion(self._since.values(term + 1))
result = multiunion([since, since_only, until_only, until])
if REQUEST is not None and catalog is not None:
cache[cachekey] = result
return (difference(resultset, result), (self._since_field, self._until_field))
def _insert_migrate(self, tree, key, value):
treeset = tree.get(key, None)
if treeset is None:
tree[key] = IITreeSet((value,))
else:
if isinstance(treeset, IITreeSet):
treeset.insert(value)
elif isinstance(treeset, int):
tree[key] = IITreeSet((treeset, value))
else:
tree[key] = IITreeSet(treeset)
tree[key].insert(value)
def _insertForwardIndexEntry(self, since, until, documentId):
"""Insert 'documentId' into the appropriate set based on 'datum'.
"""
if since is None and until is None:
self._always.insert(documentId)
elif since is None:
self._insert_migrate(self._until_only, until, documentId)
elif until is None:
self._insert_migrate(self._since_only, since, documentId)
else:
self._insert_migrate(self._since, since, documentId)
self._insert_migrate(self._until, until, documentId)
def _remove_delete(self, tree, key, value):
treeset = tree.get(key, None)
if treeset is not None:
if isinstance(treeset, int):
del tree[key]
else:
treeset.remove(value)
if not treeset:
del tree[key]
def _removeForwardIndexEntry(self, since, until, documentId):
"""Remove 'documentId' from the appropriate set based on 'datum'.
"""
if since is None and until is None:
self._always.remove(documentId)
elif since is None:
self._remove_delete(self._until_only, until, documentId)
elif until is None:
self._remove_delete(self._since_only, since, documentId)
else:
self._remove_delete(self._since, since, documentId)
self._remove_delete(self._until, until, documentId)
def _convertDateTime(self, value):
if value is None:
return value
if isinstance(value, (str, datetime)):
dt_obj = DateTime(value)
value = dt_obj.millis() / 1000 / 60 # flatten to minutes
elif isinstance(value, DateTime):
value = value.millis() / 1000 / 60 # flatten to minutes
if value > MAX32 or value < -MAX32:
# t_val must be integer fitting in the 32bit range
raise OverflowError("%s is not within the range of dates allowed" "by a DateRangeIndex" % value)
value = int(value)
# handle values outside our specified range
if value > self.ceiling_value:
return None
elif value < self.floor_value:
return None
return value
class MessageStorage(Persistent, Location):
interface.implements(IMessageStorage)
notify = True
principalId = None
def __init__(self, principalId):
self.index = OIBTree()
self.messages = IOBTree()
self.services = OOBTree()
self.readstatus = IITreeSet()
self.principalId = principalId
self._next = Length(1)
@Lazy
def readstatus(self):
self.readstatus = IITreeSet()
return self.readstatus
@property
def principal(self):
try:
return getUtility(IAuthentication).getPrincipal(self.principalId)
except:
return None
@property
def unread(self):
unread = 0
for serviceId in self.services.keys():
service = self.getService(serviceId)
unread = unread + service.unread()
return unread
def getMessage(self, messageId):
return self.messages.get(messageId)
def getServiceIds(self):
return list(self.services.keys())
def getService(self, serviceId):
service = self.services.get(serviceId)
if not IMessageService.providedBy(service):
factory = getUtility(IMessageServiceFactory, serviceId)
service = factory(self)
self.services[serviceId] = service
return service
def create(self, serviceId, **data):
""" create and append message to storage """
id = self._next()
self._next.change(1)
service = self.getService(serviceId)
msg = service.create(**data)
date = datetime.now(ITZInfo(self.principal, pytz.utc))
while date in self.index:
date = date + timedelta
msg.__id__ = id
msg.__date__ = date
self.index[date] = id
self.messages[id] = msg
self.readstatus.insert(id)
service.append(msg)
event.notify(MessageCreatedEvent(msg, self))
return id
def remove(self, messageId):
message = self.messages.get(messageId)
if message is None:
return
else:
self.clearReadStatus(message)
del self.index[message.__date__]
del self.messages[message.__id__]
for serviceId in self.services.keys():
service = self.getService(serviceId)
service.remove(message)
event.notify(MessageRemovedEvent(message, self))
def readStatus(self, message):
return message.__id__ in self.readstatus
def clearReadStatus(self, message):
if message.__id__ not in self.readstatus:
return
idx = message.__date__
for serviceId in self.services.keys():
service = self.getService(serviceId)
if idx in service.index and service.unread() > 0:
service.unread.change(-1)
self.readstatus.remove(message.__id__)
class BooleanIndex(UnIndex):
"""Index for booleans
self._index = set([documentId1, documentId2])
self._unindex = {documentId:[True/False]}
self._length is the length of the unindex
self._index_length is the length of the index
False doesn't have actual entries in _index.
"""
meta_type = "BooleanIndex"
manage_options = (
{'label': 'Settings',
'action': 'manage_main'},
{'label': 'Browse',
'action': 'manage_browse'},
)
query_options = ["query"]
manage = manage_main = DTMLFile('dtml/manageBooleanIndex', globals())
manage_main._setName('manage_main')
manage_browse = DTMLFile('../dtml/browseIndex', globals())
_index_value = 1
_index_length = None
def clear(self):
self._index = IITreeSet()
self._index_length = BTrees.Length.Length()
self._index_value = 1
self._unindex = IIBTree()
self._length = BTrees.Length.Length()
if self._counter is None:
self._counter = BTrees.Length.Length()
else:
self._increment_counter()
def histogram(self):
"""Return a mapping which provides a histogram of the number of
elements found at each point in the index.
"""
histogram = {}
indexed = bool(self._index_value)
histogram[indexed] = self._index_length.value
histogram[not indexed] = self._length.value - self._index_length.value
return histogram
def _invert_index(self, documentId=None):
self._index_value = indexed = int(not self._index_value)
self._index.clear()
length = 0
for rid, value in self._unindex.iteritems():
if value == indexed:
self._index.add(rid)
length += 1
# documentId is the rid of the currently processed object that
# triggered the invert. in the case of unindexing, the rid hasn't
# been removed from the unindex yet. While indexing, the rid will
# be added to the index and unindex after this method is done
if documentId is not None:
self._index.remove(documentId)
length -= 1
self._index_length = BTrees.Length.Length(length)
def insertForwardIndexEntry(self, entry, documentId):
"""If the value matches the indexed one, insert into treeset
"""
# When we get the first entry, decide to index the opposite of what
# we got, as indexing zero items is fewer than one.
if self._length.value == 0:
self._index_value = int(not bool(entry))
# if the added entry value is index value, insert it into index
if bool(entry) is bool(self._index_value):
self._index_length.change(1)
self._index.insert(documentId)
# insert value into global unindex (before computing index invert)
self._unindex[documentId] = entry
self._length.change(1)
# is the index (after adding the current entry) larger than 60%
# of the total length? than switch the indexed value
if bool(entry) is bool(self._index_value):
if (self._index_length.value) >= ((self._length.value) * 0.6):
self._invert_index()
def removeForwardIndexEntry(self, entry, documentId, check=True):
"""Take the entry provided and remove any reference to documentId
in its entry in the index.
"""
if bool(entry) is bool(self._index_value):
try:
self._index.remove(documentId)
self._index_length.change(-1)
except ConflictError:
raise
except Exception:
LOG.exception(
'%s: unindex_object could not remove documentId %s '
'from index %s. This should not happen.' % (
self.__class__.__name__,
str(documentId),
str(self.id)))
elif check:
# is the index (after removing the current entry) larger than
# 60% of the total length? than switch the indexed value
if (self._index_length.value) <= ((self._length.value - 1) * 0.6):
self._invert_index(documentId)
return
def _index_object(self, documentId, obj, threshold=None, attr=''):
""" index and object 'obj' with integer id 'documentId'"""
returnStatus = 0
# First we need to see if there's anything interesting to look at
datum = self._get_object_datum(obj, attr)
# Make it boolean, int as an optimization
if datum is not _marker:
datum = int(bool(datum))
# We don't want to do anything that we don't have to here, so we'll
# check to see if the new and existing information is the same.
oldDatum = self._unindex.get(documentId, _marker)
if datum != oldDatum:
if oldDatum is not _marker:
self.removeForwardIndexEntry(oldDatum, documentId, check=False)
if datum is _marker:
try:
del self._unindex[documentId]
self._length.change(-1)
except ConflictError:
raise
except Exception:
LOG.error('Should not happen: oldDatum was there, now '
'its not, for document with id %s' %
documentId)
if datum is not _marker:
self.insertForwardIndexEntry(datum, documentId)
returnStatus = 1
return returnStatus
def unindex_object(self, documentId):
""" Unindex the object with integer id 'documentId' and don't
raise an exception if we fail
"""
unindexRecord = self._unindex.get(documentId, _marker)
if unindexRecord is _marker:
return None
self._increment_counter()
self.removeForwardIndexEntry(unindexRecord, documentId)
try:
del self._unindex[documentId]
self._length.change(-1)
except ConflictError:
raise
except Exception:
LOG.debug('Attempt to unindex nonexistent document'
' with id %s' % documentId, exc_info=True)
def query_index(self, record, resultset=None):
index = self._index
indexed = self._index_value
for key in record.keys:
if bool(key) is bool(indexed):
# If we match the indexed value, check index
return intersection(index, resultset)
else:
# Otherwise, remove from resultset or _unindex
if resultset is None:
return union(difference(self._unindex, index), IISet([]))
else:
return difference(resultset, index)
return IISet()
def indexSize(self):
"""Return distinct values, as an optimization we always claim 2."""
return 2
def items(self):
# return a list of value to int set of rid tuples
indexed = self._index_value
items = [(bool(indexed), self._index)]
false = IISet()
for rid, value in self._unindex.iteritems():
if value != indexed:
false.add(rid)
items.append((not bool(indexed), false))
return items
def clear(self):
self._index = IITreeSet()
self._index_length = BTrees.Length.Length()
self._index_value = 1
self._unindex = IIBTree()
self._length = BTrees.Length.Length()
class DateRangeIndex(UnIndex):
"""
Index a date range, such as the canonical "effective-expiration"
range in the CMF. Any object may return None for either the
start or the end date: for the start date, this should be
the logical equivalent of "since the beginning of time"; for the
end date, "until the end of time".
Therefore, divide the space of indexed objects into four containers:
- Objects which always match ( i.e., they returned None for both );
- Objects which match after a given time ( i.e., they returned None
for the end date );
- Objects which match until a given time ( i.e., they returned None
for the start date );
- Objects which match only during a specific interval.
"""
__implements__ = ( PluggableIndex.PluggableIndexInterface, )
security = ClassSecurityInfo()
meta_type = "DateRangeIndex"
manage_options= ( { 'label' : 'Properties'
, 'action' : 'manage_indexProperties'
}
,
)
query_options = ['query']
since_field = until_field = None
def __init__(self, id, since_field=None, until_field=None,
caller=None, extra=None):
if extra:
since_field = extra.since_field
until_field = extra.until_field
self._setId(id)
self._edit(since_field, until_field)
self.clear()
security.declareProtected( VIEW_PERMISSION
, 'getSinceField'
)
def getSinceField( self ):
"""
"""
return self._since_field
security.declareProtected( VIEW_PERMISSION
, 'getUntilField'
)
def getUntilField( self ):
"""
"""
return self._until_field
manage_indexProperties = DTMLFile( 'manageDateRangeIndex', _dtmldir )
security.declareProtected( INDEX_MGMT_PERMISSION
, 'manage_edit'
)
def manage_edit( self, since_field, until_field, REQUEST ):
"""
"""
self._edit( since_field, until_field )
REQUEST[ 'RESPONSE' ].redirect( '%s/manage_main'
'?manage_tabs_message=Updated'
% REQUEST.get('URL2')
)
security.declarePrivate( '_edit' )
def _edit( self, since_field, until_field ):
"""
Update the fields used to compute the range.
"""
self._since_field = since_field
self._until_field = until_field
security.declareProtected( INDEX_MGMT_PERMISSION
, 'clear'
)
def clear( self ):
"""
Start over fresh.
"""
self._always = IITreeSet()
self._since_only = IOBTree()
self._until_only = IOBTree()
self._since = IOBTree()
self._until = IOBTree()
self._unindex = IOBTree() # 'datum' will be a tuple of date ints
#
# PluggableIndexInterface implementation (XXX inherit assertions?)
#
def getEntryForObject( self, documentId, default=None ):
"""
Get all information contained for the specific object
identified by 'documentId'. Return 'default' if not found.
"""
return self._unindex.get( documentId, default )
def index_object( self, documentId, obj, threshold=None ):
"""
Index an object:
- 'documentId' is the integer ID of the document
- 'obj' is the object to be indexed
- ignore threshold
"""
if self._since_field is None:
return 0
since = getattr( obj, self._since_field, None )
if callable( since ):
since = since()
since = self._convertDateTime( since )
until = getattr( obj, self._until_field, None )
if callable( until ):
until = until()
until = self._convertDateTime( until )
datum = ( since, until )
old_datum = self._unindex.get( documentId, None )
if datum == old_datum: # No change? bail out!
return 0
if old_datum is not None:
old_since, old_until = old_datum
self._removeForwardIndexEntry( old_since, old_until, documentId )
self._insertForwardIndexEntry( since, until, documentId )
self._unindex[ documentId ] = datum
return 1
def unindex_object( self, documentId ):
"""
Remove the object corresponding to 'documentId' from the index.
"""
datum = self._unindex.get( documentId, None )
if datum is None:
return
since, until = datum
self._removeForwardIndexEntry( since, until, documentId )
del self._unindex[ documentId ]
def uniqueValues( self, name=None, withLengths=0 ):
"""
Return a list of unique values for 'name'.
If 'withLengths' is true, return a sequence of tuples, in
the form '( value, length )'.
"""
if not name in ( self._since_field, self._until_field ):
return []
if name == self._since_field:
t1 = self._since
t2 = self._since_only
else:
t1 = self._until
t2 = self._until_only
result = []
IntType = type( 0 )
if not withValues:
result.extend( t1.keys() )
result.extend( t2.keys() )
else:
for key in t1.keys():
set = t1[ key ]
if type( set ) is IntType:
length = 1
else:
length = len( set )
result.append( ( key, length) )
for key in t2.keys():
set = t2[ key ]
if type( set ) is IntType:
length = 1
else:
length = len( set )
result.append( ( key, length) )
return tuple( result )
def _apply_index( self, request, cid='' ):
"""
Apply the index to query parameters given in 'request', which
should be a mapping object.
If the request does not contain the needed parametrs, then
return None.
If the request contains a parameter with the name of the
column + "_usage", snif for information on how to handle
applying the index.
Otherwise return two objects. The first object is a ResultSet
containing the record numbers of the matching records. The
second object is a tuple containing the names of all data fields
used.
"""
record = parseIndexRequest( request, self.getId() )
if record.keys is None:
return None
term = self._convertDateTime( record.keys[0] )
#
# Aggregate sets for each bucket separately, to avoid
# large-small union penalties.
#
#until_only = IISet()
#map( until_only.update, self._until_only.values( term ) )
# XXX use multi-union
until_only = multiunion( self._until_only.values( term ) )
#since_only = IISet()
#map( since_only.update, self._since_only.values( None, term ) )
# XXX use multi-union
since_only = multiunion( self._since_only.values( None, term ) )
#until = IISet()
#map( until.update, self._until.values( term ) )
# XXX use multi-union
until = multiunion( self._until.values( term ) )
#since = IISet()
#map( since.update, self._since.values( None, term ) )
# XXX use multi-union
since = multiunion( self._since.values( None, term ) )
bounded = intersection( until, since )
# Merge from smallest to largest.
#result = union( self._always, until_only )
result = union( bounded, until_only )
result = union( result, since_only )
#result = union( result, bounded )
result = union( result, self._always )
return result, ( self._since_field, self._until_field )
#
# ZCatalog needs this, although it isn't (yet) part of the interface.
#
security.declareProtected( VIEW_PERMISSION , 'numObjects' )
def numObjects( self ):
"""
"""
return len( self._unindex )
#
# Helper functions.
#
def _insertForwardIndexEntry( self, since, until, documentId ):
"""
Insert 'documentId' into the appropriate set based on
'datum'.
"""
if since is None and until is None:
self._always.insert( documentId )
elif since is None:
set = self._until_only.get( until, None )
if set is None:
set = self._until_only[ until ] = IISet() # XXX: Store an int?
set.insert( documentId )
elif until is None:
set = self._since_only.get( since, None )
if set is None:
set = self._since_only[ since ] = IISet() # XXX: Store an int?
set.insert( documentId )
else:
set = self._since.get( since, None )
if set is None:
set = self._since[ since ] = IISet() # XXX: Store an int?
set.insert( documentId )
set = self._until.get( until, None )
if set is None:
set = self._until[ until ] = IISet() # XXX: Store an int?
set.insert( documentId )
def _removeForwardIndexEntry( self, since, until, documentId ):
"""
Remove 'documentId' from the appropriate set based on
'datum'.
"""
if since is None and until is None:
self._always.remove( documentId )
elif since is None:
set = self._until_only.get( until, None )
if set is not None:
set.remove( documentId )
if not set:
del self._until_only[ until ]
elif until is None:
set = self._since_only.get( since, None )
if set is not None:
set.remove( documentId )
if not set:
del self._since_only[ since ]
else:
set = self._since.get( since, None )
if set is not None:
set.remove( documentId )
if not set:
del self._since[ since ]
set = self._until.get( until, None )
if set is not None:
set.remove( documentId )
if not set:
del self._until[ until ]
def _convertDateTime( self, value ):
if value is None:
return value
if type( value ) == type( '' ):
dt_obj = DateTime( value )
value = dt_obj.millis() / 1000 / 60 # flatten to minutes
if isinstance( value, DateTime ):
value = value.millis() / 1000 / 60 # flatten to minutes
return int( value )
def __contains__(self, obj):
return IITreeSet.__contains__(self, self._get_id(obj))
def __iter__(self):
for item in IITreeSet.__iter__(self):
yield self._get_object(item)