|
|
"""A Task logger that presents our DB interface,
|
|
|
but exists entirely in memory and implemented with dicts.
|
|
|
|
|
|
Authors:
|
|
|
|
|
|
* Min RK
|
|
|
|
|
|
|
|
|
TaskRecords are dicts of the form:
|
|
|
{
|
|
|
'msg_id' : str(uuid),
|
|
|
'client_uuid' : str(uuid),
|
|
|
'engine_uuid' : str(uuid) or None,
|
|
|
'header' : dict(header),
|
|
|
'content': dict(content),
|
|
|
'buffers': list(buffers),
|
|
|
'submitted': datetime,
|
|
|
'started': datetime or None,
|
|
|
'completed': datetime or None,
|
|
|
'resubmitted': datetime or None,
|
|
|
'result_header' : dict(header) or None,
|
|
|
'result_content' : dict(content) or None,
|
|
|
'result_buffers' : list(buffers) or None,
|
|
|
}
|
|
|
With this info, many of the special categories of tasks can be defined by query:
|
|
|
|
|
|
pending: completed is None
|
|
|
client's outstanding: client_uuid = uuid && completed is None
|
|
|
MIA: arrived is None (and completed is None)
|
|
|
etc.
|
|
|
|
|
|
EngineRecords are dicts of the form:
|
|
|
{
|
|
|
'eid' : int(id),
|
|
|
'uuid': str(uuid)
|
|
|
}
|
|
|
This may be extended, but is currently.
|
|
|
|
|
|
We support a subset of mongodb operators:
|
|
|
$lt,$gt,$lte,$gte,$ne,$in,$nin,$all,$mod,$exists
|
|
|
"""
|
|
|
#-----------------------------------------------------------------------------
|
|
|
# Copyright (C) 2010-2011 The IPython Development Team
|
|
|
#
|
|
|
# Distributed under the terms of the BSD License. The full license is in
|
|
|
# the file COPYING, distributed as part of this software.
|
|
|
#-----------------------------------------------------------------------------
|
|
|
|
|
|
from copy import deepcopy as copy
|
|
|
from datetime import datetime
|
|
|
|
|
|
from IPython.config.configurable import LoggingConfigurable
|
|
|
|
|
|
from IPython.utils.traitlets import Dict, Unicode, Integer, Float
|
|
|
|
|
|
filters = {
|
|
|
'$lt' : lambda a,b: a < b,
|
|
|
'$gt' : lambda a,b: b > a,
|
|
|
'$eq' : lambda a,b: a == b,
|
|
|
'$ne' : lambda a,b: a != b,
|
|
|
'$lte': lambda a,b: a <= b,
|
|
|
'$gte': lambda a,b: a >= b,
|
|
|
'$in' : lambda a,b: a in b,
|
|
|
'$nin': lambda a,b: a not in b,
|
|
|
'$all': lambda a,b: all([ a in bb for bb in b ]),
|
|
|
'$mod': lambda a,b: a%b[0] == b[1],
|
|
|
'$exists' : lambda a,b: (b and a is not None) or (a is None and not b)
|
|
|
}
|
|
|
|
|
|
|
|
|
class CompositeFilter(object):
|
|
|
"""Composite filter for matching multiple properties."""
|
|
|
|
|
|
def __init__(self, dikt):
|
|
|
self.tests = []
|
|
|
self.values = []
|
|
|
for key, value in dikt.iteritems():
|
|
|
self.tests.append(filters[key])
|
|
|
self.values.append(value)
|
|
|
|
|
|
def __call__(self, value):
|
|
|
for test,check in zip(self.tests, self.values):
|
|
|
if not test(value, check):
|
|
|
return False
|
|
|
return True
|
|
|
|
|
|
class BaseDB(LoggingConfigurable):
|
|
|
"""Empty Parent class so traitlets work on DB."""
|
|
|
# base configurable traits:
|
|
|
session = Unicode("")
|
|
|
|
|
|
class DictDB(BaseDB):
|
|
|
"""Basic in-memory dict-based object for saving Task Records.
|
|
|
|
|
|
This is the first object to present the DB interface
|
|
|
for logging tasks out of memory.
|
|
|
|
|
|
The interface is based on MongoDB, so adding a MongoDB
|
|
|
backend should be straightforward.
|
|
|
"""
|
|
|
|
|
|
_records = Dict()
|
|
|
_culled_ids = set() # set of ids which have been culled
|
|
|
_buffer_bytes = Integer(0) # running total of the bytes in the DB
|
|
|
|
|
|
size_limit = Integer(1024*1024, config=True,
|
|
|
help="""The maximum total size (in bytes) of the buffers stored in the db
|
|
|
|
|
|
When the db exceeds this size, the oldest records will be culled until
|
|
|
the total size is under size_limit * (1-cull_fraction).
|
|
|
"""
|
|
|
)
|
|
|
record_limit = Integer(1024, config=True,
|
|
|
help="""The maximum number of records in the db
|
|
|
|
|
|
When the history exceeds this size, the first record_limit * cull_fraction
|
|
|
records will be culled.
|
|
|
"""
|
|
|
)
|
|
|
cull_fraction = Float(0.1, config=True,
|
|
|
help="""The fraction by which the db should culled when one of the limits is exceeded
|
|
|
|
|
|
In general, the db size will spend most of its time with a size in the range:
|
|
|
|
|
|
[limit * (1-cull_fraction), limit]
|
|
|
|
|
|
for each of size_limit and record_limit.
|
|
|
"""
|
|
|
)
|
|
|
|
|
|
def _match_one(self, rec, tests):
|
|
|
"""Check if a specific record matches tests."""
|
|
|
for key,test in tests.iteritems():
|
|
|
if not test(rec.get(key, None)):
|
|
|
return False
|
|
|
return True
|
|
|
|
|
|
def _match(self, check):
|
|
|
"""Find all the matches for a check dict."""
|
|
|
matches = []
|
|
|
tests = {}
|
|
|
for k,v in check.iteritems():
|
|
|
if isinstance(v, dict):
|
|
|
tests[k] = CompositeFilter(v)
|
|
|
else:
|
|
|
tests[k] = lambda o: o==v
|
|
|
|
|
|
for rec in self._records.itervalues():
|
|
|
if self._match_one(rec, tests):
|
|
|
matches.append(copy(rec))
|
|
|
return matches
|
|
|
|
|
|
def _extract_subdict(self, rec, keys):
|
|
|
"""extract subdict of keys"""
|
|
|
d = {}
|
|
|
d['msg_id'] = rec['msg_id']
|
|
|
for key in keys:
|
|
|
d[key] = rec[key]
|
|
|
return copy(d)
|
|
|
|
|
|
# methods for monitoring size / culling history
|
|
|
|
|
|
def _add_bytes(self, rec):
|
|
|
for key in ('buffers', 'result_buffers'):
|
|
|
for buf in rec.get(key) or []:
|
|
|
self._buffer_bytes += len(buf)
|
|
|
|
|
|
self._maybe_cull()
|
|
|
|
|
|
def _drop_bytes(self, rec):
|
|
|
for key in ('buffers', 'result_buffers'):
|
|
|
for buf in rec.get(key) or []:
|
|
|
self._buffer_bytes -= len(buf)
|
|
|
|
|
|
def _cull_oldest(self, n=1):
|
|
|
"""cull the oldest N records"""
|
|
|
for msg_id in self.get_history()[:n]:
|
|
|
self.log.debug("Culling record: %r", msg_id)
|
|
|
self._culled_ids.add(msg_id)
|
|
|
self.drop_record(msg_id)
|
|
|
|
|
|
def _maybe_cull(self):
|
|
|
# cull by count:
|
|
|
if len(self._records) > self.record_limit:
|
|
|
to_cull = int(self.cull_fraction * self.record_limit)
|
|
|
self.log.info("%i records exceeds limit of %i, culling oldest %i",
|
|
|
len(self._records), self.record_limit, to_cull
|
|
|
)
|
|
|
self._cull_oldest(to_cull)
|
|
|
|
|
|
# cull by size:
|
|
|
if self._buffer_bytes > self.size_limit:
|
|
|
limit = self.size_limit * (1 - self.cull_fraction)
|
|
|
|
|
|
before = self._buffer_bytes
|
|
|
before_count = len(self._records)
|
|
|
culled = 0
|
|
|
while self._buffer_bytes > limit:
|
|
|
self._cull_oldest(1)
|
|
|
culled += 1
|
|
|
|
|
|
self.log.info("%i records with total buffer size %i exceeds limit: %i. Culled oldest %i records.",
|
|
|
before_count, before, self.size_limit, culled
|
|
|
)
|
|
|
|
|
|
# public API methods:
|
|
|
|
|
|
def add_record(self, msg_id, rec):
|
|
|
"""Add a new Task Record, by msg_id."""
|
|
|
if msg_id in self._records:
|
|
|
raise KeyError("Already have msg_id %r"%(msg_id))
|
|
|
self._records[msg_id] = rec
|
|
|
self._add_bytes(rec)
|
|
|
self._maybe_cull()
|
|
|
|
|
|
def get_record(self, msg_id):
|
|
|
"""Get a specific Task Record, by msg_id."""
|
|
|
if msg_id in self._culled_ids:
|
|
|
raise KeyError("Record %r has been culled for size" % msg_id)
|
|
|
if not msg_id in self._records:
|
|
|
raise KeyError("No such msg_id %r"%(msg_id))
|
|
|
return copy(self._records[msg_id])
|
|
|
|
|
|
def update_record(self, msg_id, rec):
|
|
|
"""Update the data in an existing record."""
|
|
|
if msg_id in self._culled_ids:
|
|
|
raise KeyError("Record %r has been culled for size" % msg_id)
|
|
|
_rec = self._records[msg_id]
|
|
|
self._drop_bytes(_rec)
|
|
|
_rec.update(rec)
|
|
|
self._add_bytes(_rec)
|
|
|
|
|
|
def drop_matching_records(self, check):
|
|
|
"""Remove a record from the DB."""
|
|
|
matches = self._match(check)
|
|
|
for rec in matches:
|
|
|
self._drop_bytes(rec)
|
|
|
del self._records[rec['msg_id']]
|
|
|
|
|
|
def drop_record(self, msg_id):
|
|
|
"""Remove a record from the DB."""
|
|
|
rec = self._records[msg_id]
|
|
|
self._drop_bytes(rec)
|
|
|
del self._records[msg_id]
|
|
|
|
|
|
def find_records(self, check, keys=None):
|
|
|
"""Find records matching a query dict, optionally extracting subset of keys.
|
|
|
|
|
|
Returns dict keyed by msg_id of matching records.
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
|
|
|
check: dict
|
|
|
mongodb-style query argument
|
|
|
keys: list of strs [optional]
|
|
|
if specified, the subset of keys to extract. msg_id will *always* be
|
|
|
included.
|
|
|
"""
|
|
|
matches = self._match(check)
|
|
|
if keys:
|
|
|
return [ self._extract_subdict(rec, keys) for rec in matches ]
|
|
|
else:
|
|
|
return matches
|
|
|
|
|
|
def get_history(self):
|
|
|
"""get all msg_ids, ordered by time submitted."""
|
|
|
msg_ids = self._records.keys()
|
|
|
# Remove any that do not have a submitted timestamp.
|
|
|
# This is extremely unlikely to happen,
|
|
|
# but it seems to come up in some tests on VMs.
|
|
|
msg_ids = [ m for m in msg_ids if self._records[m]['submitted'] is not None ]
|
|
|
return sorted(msg_ids, key=lambda m: self._records[m]['submitted'])
|
|
|
|
|
|
|
|
|
NODATA = KeyError("NoDB backend doesn't store any data. "
|
|
|
"Start the Controller with a DB backend to enable resubmission / result persistence."
|
|
|
)
|
|
|
|
|
|
|
|
|
class NoDB(BaseDB):
|
|
|
"""A blackhole db backend that actually stores no information.
|
|
|
|
|
|
Provides the full DB interface, but raises KeyErrors on any
|
|
|
method that tries to access the records. This can be used to
|
|
|
minimize the memory footprint of the Hub when its record-keeping
|
|
|
functionality is not required.
|
|
|
"""
|
|
|
|
|
|
def add_record(self, msg_id, record):
|
|
|
pass
|
|
|
|
|
|
def get_record(self, msg_id):
|
|
|
raise NODATA
|
|
|
|
|
|
def update_record(self, msg_id, record):
|
|
|
pass
|
|
|
|
|
|
def drop_matching_records(self, check):
|
|
|
pass
|
|
|
|
|
|
def drop_record(self, msg_id):
|
|
|
pass
|
|
|
|
|
|
def find_records(self, check, keys=None):
|
|
|
raise NODATA
|
|
|
|
|
|
def get_history(self):
|
|
|
raise NODATA
|
|
|
|
|
|
|
