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view service/reasoning/inference.py @ 1093:e3ae71fbd3bd
logging and cleanups. Upgrade fuxi to have the cPickle optimization.
Ignore-this: aa11ce504d20e6b3c9351d7ba2def092
darcs-hash:24384c0b4ebcfed9e8f2aa8563d3db0c117d748b
author | drewp <drewp@bigasterisk.com> |
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date | Mon, 09 May 2016 01:05:24 -0700 |
parents | 54de5144900d |
children | f3f667769aef |
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""" see ./reasoning for usage """ import os, contextlib try: from rdflib.Graph import Graph except ImportError: from rdflib import Graph from rdflib import Namespace from rdflib.parser import StringInputSource from FuXi.Rete.Util import generateTokenSet from FuXi.Rete import ReteNetwork from FuXi.Rete.RuleStore import N3RuleStore from greplin import scales STATS = scales.collection('/web', scales.PmfStat('readRules')) from escapeoutputstatements import escapeOutputStatements ROOM = Namespace("http://projects.bigasterisk.com/room/") def _loadAndEscape(ruleStore, n3, outputPatterns): ruleGraph = Graph(ruleStore) # Can't escapeOutputStatements in the ruleStore since it # doesn't support removals. Can't copy plainGraph into # ruleGraph since something went wrong with traversing the # triples inside quoted graphs, and I lose all the bodies # of my rules. This serialize/parse version is very slow (400ms), # but it only runs when the file changes. plainGraph = Graph() plainGraph.parse(StringInputSource(n3), format='n3') # for inference escapeOutputStatements(plainGraph, outputPatterns=outputPatterns) expandedN3 = plainGraph.serialize(format='n3') ruleGraph.parse(StringInputSource(expandedN3), format='n3') _rulesCache = (None, None, None, None) def readRules(rulesPath, outputPatterns): """ returns (rulesN3, ruleStore) This includes escaping certain statements in the output (implied) subgraaphs so they're not confused with input statements. """ global _rulesCache with STATS.readRules.time(): mtime = os.path.getmtime(rulesPath) key = (rulesPath, mtime) if _rulesCache[:2] == key: _, _, rulesN3, ruleStore = _rulesCache else: rulesN3 = open(rulesPath).read() # for web display ruleStore = N3RuleStore() _loadAndEscape(ruleStore, rulesN3, outputPatterns) log.debug('%s rules' % len(ruleStore.rules)) _rulesCache = key + (rulesN3, ruleStore) return rulesN3, ruleStore def infer(graph, rules): """ returns new graph of inferred statements. Plain rete api seems to alter rules.formulae and rules.rules, but this function does not alter the incoming rules object, so you can cache it. """ # based on fuxi/tools/rdfpipe.py target = Graph() tokenSet = generateTokenSet(graph) with _dontChangeRulesStore(rules): network = ReteNetwork(rules, inferredTarget=target) network.feedFactsToAdd(tokenSet) return target @contextlib.contextmanager def _dontChangeRulesStore(rules): if not hasattr(rules, '_stashOriginalRules'): rules._stashOriginalRules = rules.rules[:] yield for k in rules.formulae.keys(): if not k.startswith('_:Formula'): del rules.formulae[k] rules.rules = rules._stashOriginalRules[:] import time, logging log = logging.getLogger() def logTime(func): def inner(*args, **kw): t1 = time.time() try: ret = func(*args, **kw) finally: log.info("Call to %s took %.1f ms" % ( func.__name__, 1000 * (time.time() - t1))) return ret return inner