def addIndex(self, prop, syntype, datapaths):
'''
Add an index to the cryotank
Args:
prop (str): the name of the property this will be stored as in the normalized record
syntype (str): the synapse type this will be interpreted as
datapaths (Iterable[str]): datapaths that will be tried in order.
Returns:
None
Note:
Additional datapaths will only be tried if prior datapaths are not present, and *not* if
the normalization fails.
'''
if self.iidFromProp(prop) is not None:
raise s_exc.DupIndx(mesg='Index already exists', index=prop)
if not len(datapaths):
raise s_exc.BadOperArg(
mesg='datapaths must have at least one entry')
if self.model.type(syntype) is None:
raise s_exc.BadOperArg(mesg=f'unknown synapse type {syntype}')
iid = int.from_bytes(os.urandom(8), 'little')
self.indices[iid] = _MetaEntry(self.model,
propname=prop,
syntype=syntype,
datapaths=datapaths)
self.progresses[iid] = {'nextoffset': 0, 'ngood': 0, 'nnormfail': 0}
self.persist()
async def execStormCmd(self, runt, genr):
self.snap = runt.snap
self.omit_traversal_forms = set(self.opts.omit_traversal_form)
self.omit_traversal_tags = set(self.opts.omit_traversal_tag)
self.omit_forms = set(self.opts.omit_form)
self.omit_tags = set(self.opts.omit_tag)
self.ndef_props = [
prop for prop in self.snap.model.props.values()
if isinstance(prop.type, s_types.Ndef)
]
if self.opts.degrees < 1:
raise s_exc.BadOperArg(
mesg='degrees must be greater than or equal to 1',
arg='degrees')
visited = set()
async for node, path in genr:
if self.opts.join:
yield node, path
if self.opts.unique is False:
visited = set()
# Don't revisit the inbound node from genr
visited.add(node.buid)
async for nnode, npath in self.doRefs(node, path, visited):
yield nnode, npath
def queryNormValu(self,
prop: str,
valu: Optional[Union[int, str]] = None,
exact=False):
'''
Query for normalized individual property values
Args:
prop: The name of the indexed property
valu: The normalized value. If not present, all records with prop present, sorted by prop will be
returned. It will be considered a prefix if exact is False.
exact (bool): Indicates that the result must match exactly. Conversely, if False, indicates a prefix match.
Returns:
A generator of offset, normalized value tuples
'''
if not exact and valu is not None and isinstance(
valu, str) and len(valu) >= s_lmdb.LARGE_STRING_SIZE:
raise s_exc.BadOperArg(
mesg='prefix search valu cannot exceed 128 characters')
for (offset, offset_enc, iidenc,
txn) in self._iterrows(prop, valu, exact):
rv = txn.get(bytes(offset_enc) + iidenc, None, db=self._normtbl)
if rv is None:
raise s_exc.CorruptDatabase(
'Missing normalized record') # pragma: no cover
yield offset, s_msgpack.un(rv)
def _iterrows(self, prop, valu, exact=False):
'''
Query against an index.
Args:
prop (str): The name of the indexed property
valu (Optional[Union[int, str]]): The normalized value. If not present, all records with prop present,
sorted by prop will be returned. It will be considered prefix if exact is False.
exact (bool): Indicates that the result must match exactly. Conversly, if False, indicates a prefix match.
Returns:
Iterable[Tuple[int, bytes, bytes, lmdb.Transaction]: a generator of a Tuple of the offset, the encoded
offset, the encoded index ID, and the LMDB read transaction.
Note:
Ordering of Tuples disregard everything after the first 128 bytes of a property.
'''
iid = self._meta.iidFromProp(prop)
if iid is None:
raise s_exc.NoSuchIndx(mesg='No such index', index=prop)
iidenc = _iid_en(iid)
islarge = valu is not None and isinstance(
valu, str) and len(valu) >= s_lmdb.LARGE_STRING_SIZE
if islarge and not exact:
raise s_exc.BadOperArg(
mesg='prefix search valu cannot exceed 128 characters')
if islarge and exact:
key = iidenc + s_lmdb.encodeValAsKey(valu)
elif valu is None:
key = iidenc
else:
key = iidenc + s_lmdb.encodeValAsKey(valu, isprefix=not exact)
with self._dbenv.begin(db=self._idxtbl,
buffers=True) as txn, txn.cursor() as curs:
if exact:
rv = curs.set_key(key)
else:
rv = curs.set_range(key)
if not rv:
return
while True:
rv = []
curkey, offset_enc = curs.item()
if (not exact and not curkey[:len(key)] == key) or (
exact and curkey != key):
return
offset = _Int64be.unpack(offset_enc)[0]
yield (offset, offset_enc, iidenc, txn)
if not curs.next():
return
async def aget(self, key):
if not self.iscorocall:
raise s_exc.BadOperArg(
'cache was initialized with non coroutine. Must use get')
valu = self.cache.get(key, s_common.novalu)
if valu is not s_common.novalu:
return valu
valu = await self.callback(key)
if valu is s_common.novalu:
return valu
self.put(key, valu)
return valu
async def aget(self, key):
if not self.iscorocall:
raise s_exc.BadOperArg(
'cache was initialized with non coroutine. Must use get')
valu = self.cache.get(key, s_common.novalu)
if valu is not s_common.novalu:
return valu
valu = await self.callback(key)
if valu is s_common.novalu:
return valu
self.cache[key] = valu
self.fifo.append(key)
while len(self.fifo) > self.size:
key = self.fifo.popleft()
self.cache.pop(key, None)
return valu
def queryRows(self,
prop: str,
valu: Optional[Union[int, str]] = None,
exact=False) -> Iterable[Tuple[int, bytes]]:
'''
Query for raw (i.e. from the cryotank itself) records
Args:
prop: The name of the indexed property
valu: The normalized value. If not present, all records with prop present,
sorted by prop will be returned. It will be considered a prefix if exact is False.
exact: Indicates that the result must match exactly. Conversely, if False, indicates a prefix match.
Returns:
Iterable[Tuple[int, bytes]]: A generator of tuple (offset, messagepack encoded) raw records
'''
if not exact and valu is not None and isinstance(
valu, str) and len(valu) >= s_lmdb.LARGE_STRING_SIZE:
raise s_exc.BadOperArg(
mesg='prefix search valu cannot exceed 128 characters')
for offset, _, _, txn in self._iterrows(prop, valu, exact):
yield next(self.cryotank.rows(offset, 1))
def queryNormRecords(self, prop: str, valu: Optional[Union[int, str]] = None, exact=False) -> \
Iterable[Tuple[int, Dict[str, Union[str, int]]]]:
'''
Query for normalized property values grouped together in dicts
Args:
prop: The name of the indexed property
valu: The normalized value. If not present, all records with prop present, sorted by prop will be
returned. It will be considered a prefix if exact is False.
exact: Indicates that the result must match exactly. Conversely, if False, indicates a prefix match.
Returns:
A generator of offset, dictionary tuples
'''
if not exact and valu is not None and isinstance(
valu, str) and len(valu) >= s_lmdb.LARGE_STRING_SIZE:
raise s_exc.BadOperArg(
mesg='prefix search valu cannot exceed 128 characters')
for offset, offset_enc, _, txn in self._iterrows(prop, valu, exact):
norm = {}
olen = len(offset_enc)
with txn.cursor(db=self._normtbl) as curs:
if not curs.set_range(offset_enc):
raise s_exc.CorruptDatabase(
'Missing normalized record') # pragma: no cover
while True:
curkey, norm_enc = curs.item()
if curkey[:olen] != offset_enc:
break
iid = _iid_un(curkey[olen:])
# this is racy with the worker, but it is still safe
idx = self._meta.indices.get(iid)
if idx is not None:
norm[idx.propname] = s_msgpack.un(norm_enc)
if not curs.next():
break
yield offset, norm
async def execStormCmd(self, runt, genr):
snap = runt.snap
nodes = [
node async for node in snap.getNodesBy('syn:tag', self.opts.oldtag)
]
if not nodes:
raise s_exc.BadOperArg(
mesg='Cannot move a tag which does not exist.',
oldtag=self.opts.oldtag)
oldt = nodes[0]
oldstr = oldt.ndef[1]
oldsize = len(oldstr)
oldparts = oldstr.split('.')
noldparts = len(oldparts)
newt = await snap.addNode('syn:tag', self.opts.newtag)
newstr = newt.ndef[1]
if oldstr == newstr:
raise s_exc.BadOperArg(mesg='Cannot retag a tag to the same valu.',
newtag=newstr,
oldtag=oldstr)
retag = {oldstr: newstr}
# first we set all the syn:tag:isnow props
async for node in snap.getNodesBy('syn:tag',
self.opts.oldtag,
cmpr='^='):
tagstr = node.ndef[1]
tagparts = tagstr.split('.')
# Are we in the same tree?
if tagparts[:noldparts] != oldparts:
continue
newtag = newstr + tagstr[oldsize:]
newnode = await snap.addNode('syn:tag', newtag)
olddoc = node.get('doc')
if olddoc is not None:
await newnode.set('doc', olddoc)
oldtitle = node.get('title')
if oldtitle is not None:
await newnode.set('title', oldtitle)
# Copy any tags over to the newnode if any are present.
for k, v in node.tags.items():
await newnode.addTag(k, v)
retag[tagstr] = newtag
await node.set('isnow', newtag)
# now we re-tag all the nodes...
count = 0
async for node in snap.getNodesBy(f'#{oldstr}'):
count += 1
tags = list(node.tags.items())
tags.sort(reverse=True)
for name, valu in tags:
newt = retag.get(name)
if newt is None:
continue
await node.delTag(name)
await node.addTag(newt, valu=valu)
await snap.printf(f'moved tags on {count} nodes.')
async for node, path in genr:
yield node, path
