class MainLoop(object):
"""Read the configuration file, set up an Augustus job, and run it.
Arguments:
configuration (string or XML object):
Literal configuration string, path to a configuration
file, or configuration XML tree structure (must be
validated). Must be provided.
model (optional string or XML object):
Literal PMML string, path to a PMML file, or a validated
XML tree structure. If provided, this overrides what is
in the configuration.
dataStream (optional class with 'initialize', 'next', and 'get'):
Explicit data stream, overriding that which is in the
configuration file.
rethrowExceptions (optional bool, default is False):
If an exception is caught by MainLoop, re-throw it to the
containing loop. Use this if you're running Augustus in
a larger program and want to handle exceptions on your
own.
Notes:
If the configuration contains a "randomSeed" directive,
MainLoop's __init__ will globally change the random seed of
Python's random library and numpy.random.
MainLoop's __init__ will globally change the numpy error
handling.
Unless the configuration has a <CustomProcessing> block (which
is always the case within an AugustusInterface), MainLoop's
__init__ will globally disable circular garbage collection.
"""
_modelExceptionIdentifier = "EXCEPTION"
def __init__(self,
configuration,
model=None,
dataStream=None,
rethrowExceptions=None):
self.model = model
self.dataStream = dataStream
self.rethrowExceptions = rethrowExceptions
self.fileNameOnException = None
# get the configuration, in whatever form you find it
if isinstance(configuration, config.AugustusConfiguration):
pass
elif isinstance(configuration, basestring):
try:
configuration = xmlbase.loadfile(configuration,
config.Config,
lineNumbers=True)
except IOError:
configuration = xmlbase.load(configuration,
config.Config,
lineNumbers=True)
else:
raise ConfigurationError(
"Configuration must be a pre-validated XML object, a fileName, or a literal configuration string."
)
# set up logging
setupLogging(
configuration.matches(
lambda x: isinstance(x, (config.Logging, config.Metadata))))
self.logger = logging.getLogger()
self.metadata = logging.getLogger("metadata")
# begin "initialization" phase
for l in self.logger, self.metadata:
if "initialization" in l.differentLevel:
l.setLevel(l.differentLevel["initialization"])
else:
l.setLevel(l.naturalLevel)
# get the model, in whatever form you find it
self.logger.info("Loading PMML model.")
self.metadata.startTiming("Time to load PMML model")
modelFileName = "(none)"
maturityThreshold = 0
if self.model is None:
modelInput = configuration.child(config.ModelInput, exception=None)
if modelInput is None:
raise ConfigurationError(
"If a model is not provided to MainLoop explicitly, it must be present in the configuration file."
)
fileLocation = modelInput["fileLocation"]
if not fileLocation.startswith(
"http://") and not fileLocation.startswith("https://"):
fileList = glob.glob(fileLocation)
if len(fileList) > 1:
fileList = [
f for f in fileList
if self._modelExceptionIdentifier not in f
]
if len(fileList) == 0:
raise IOError(
"No files matched the ModelInput fileLocation \"%s\"."
% fileLocation)
selectmode = modelInput.attrib.get("selectmode",
"lastAlphabetic")
if selectmode == "mostRecent":
fileLocation = max(fileList,
key=lambda x: os.stat(x).st_mtime)
elif selectmode == "lastAlphabetic":
fileList.sort()
fileLocation = fileList[-1]
else:
assert False
if self._modelExceptionIdentifier in fileLocation:
self.logger.warning(
"Using a PMML model that was written on exception (fileName \"%s\")"
% fileLocation)
self.model = xmlbase.loadfile(fileLocation,
pmml.X_ODG_PMML,
lineNumbers=True)
if "maturityThreshold" in modelInput.attrib:
maturityThreshold = modelInput["maturityThreshold"]
elif isinstance(self.model, pmml.PMML):
pass
elif isinstance(self.model, basestring):
try:
self.model, modelFileName = xmlbase.loadfile(
self.model, pmml.X_ODG_PMML, lineNumbers=True), self.model
except IOError:
self.model = xmlbase.load(self.model,
pmml.X_ODG_PMML,
lineNumbers=True)
else:
raise ConfigurationError(
"Model must be a pre-validated XML object, a fileName, or a literal PMML string."
)
self.metadata.stopTiming("Time to load PMML model")
self.metadata.data["PMML model file"] = modelFileName
# globally set random number seeds
if "randomSeed" in configuration.attrib:
augustusRandomSeed = configuration["randomSeed"]
random.seed(augustusRandomSeed)
numpy.random.seed(augustusRandomSeed + 1)
else:
augustusRandomSeed = "unspecified"
# globally set numpy error handling
numpy.seterr(divide="raise",
over="raise",
under="ignore",
invalid="raise")
# update schemes (producerUpdateScheme may be redefined below)
consumerUpdateScheme = self._getUpdateScheme(
configuration.child(config.ConsumerBlending, exception=False))
producerUpdateScheme = self._getUpdateScheme(None)
# set up scoring output
outputConfig = configuration.child(config.Output, exception=False)
if outputConfig is None:
self.outputWriter = None
else:
outputParams = {
"pmmlFileName": modelFileName,
"mode": outputConfig.destination.attrib.get("type",
"XML").lower()
}
if isinstance(outputConfig.destination, config.ToFile):
if outputConfig.destination.attrib.get("overwrite", False):
outputStream = codecs.open(
outputConfig.destination["name"],
"w",
encoding="utf-8")
else:
outputStream = codecs.open(
outputConfig.destination["name"],
"a",
encoding="utf-8")
elif isinstance(outputConfig.destination, config.ToStandardError):
outputStream = sys.stderr
elif isinstance(outputConfig.destination, config.ToStandardOut):
outputStream = sys.stdout
else:
assert False
reportTag = outputConfig.child("ReportTag", exception=False)
if reportTag:
outputParams["reportName"] = reportTag.attrib.get(
"name", "Report")
eventTag = outputConfig.child("EventTag", exception=False)
if eventTag:
outputParams["eventName"] = eventTag.attrib.get(
"name", "Event")
outputParams["pseudoEventName"] = eventTag.attrib.get(
"pseudoName", "pseudoEvent")
self.outputWriter = OutputWriter(outputStream, **outputParams)
# initialize for the case of no output model
engineSettings = {
"maturityThreshold": maturityThreshold,
"augustusRandomSeed": augustusRandomSeed
}
self.modelWriter = None
segmentationScheme = SegmentationScheme(None, self.model)
self.updateFlag = False
self.aggregateUpdateFlag = False
producerAlgorithm = dict(config.producerAlgorithmDefaults)
for pa in producerAlgorithm.values():
validationResult = pa.validate()
assert validationResult is None
# set up output model, if present in the configuration
modelSetup = configuration.child(config.ModelSetup, exception=False)
engineSettings["hasProducer"] = modelSetup is not None
if engineSettings["hasProducer"]:
self.logger.info("Setting up model updating/producing.")
producerBlending = modelSetup.child(config.ProducerBlending,
exception=False)
producerUpdateScheme = self._getUpdateScheme(producerBlending)
if producerBlending is not None and producerBlending.contains(
config.MaturityThreshold):
maturityConfig = producerBlending.child(
config.MaturityThreshold)
engineSettings["maturityThreshold"] = int(
maturityConfig.attrib.get("threshold", 1))
try:
engineSettings["lockingThreshold"] = int(
maturityConfig.attrib["lockingThreshold"])
except KeyError:
engineSettings["lockingThreshold"] = None
engineSettings["lockAllSegments"] = modelSetup.attrib.get(
"mode", None) == "lockExisting"
if engineSettings[
"lockAllSegments"] and segmentationScheme is not None and not segmentationScheme._generic and not segmentationScheme._whiteList:
self.logger.warning(
"The model is locked and no new segments are specified...new model files will be unchanged."
)
self.modelWriter = getModelWriter(modelSetup)
if self.modelWriter is not None:
if self.modelWriter.baseName is None:
self.fileNameOnException = self._modelExceptionIdentifier + ".pmml"
else:
self.fileNameOnException = "".join([
self.modelWriter.baseName,
self._modelExceptionIdentifier, ".pmml"
])
else:
self.logger.warning(
"There is no outputFile attribute in the ModelSetup; no new model file will be created."
)
segmentationScheme = SegmentationScheme(
modelSetup.child(config.SegmentationSchema, exception=False),
self.model)
self.updateFlag = modelSetup.attrib.get("updateEvery",
"event") in ("event",
"both")
self.aggregateUpdateFlag = modelSetup.attrib.get(
"updateEvery", "event") in ("aggregate", "both")
for pa in modelSetup.matches(config.ProducerAlgorithm):
producerAlgorithm[pa["model"]] = pa
if modelSetup.attrib.get("mode", None) == "updateExisting":
for pa in producerAlgorithm.values():
pa.parameters["updateExisting"] = True
if modelSetup.attrib.get("mode", None) == "replaceExisting":
for pa in producerAlgorithm.values():
pa.parameters["updateExisting"] = False
# to score or not to score
eventSettings = configuration.child(config.EventSettings,
exception=False)
if eventSettings is not None:
self.logger.info("Setting up output.")
self.scoreFlag = eventSettings["score"]
self.outputFlag = eventSettings["output"]
else:
self.scoreFlag = False
self.outputFlag = False
aggregationConfig = configuration.child(config.AggregationSettings,
exception=False)
if aggregationConfig is not None:
self.aggregateScoreFlag = aggregationConfig["score"]
self.aggregateOutputFlag = aggregationConfig["output"]
self.aggregationSettings = dict(aggregationConfig.attrib)
else:
self.aggregateScoreFlag = False
self.aggregateOutputFlag = False
self.aggregationSettings = None
self.metadata.data[
"Update model"] = "true" if self.updateFlag or self.aggregateUpdateFlag else "false"
# build a scoring engine once without a dataStream (to evaluate any verification blocks)
self.engine = Engine(self.model, None, producerUpdateScheme,
consumerUpdateScheme, segmentationScheme,
producerAlgorithm, **engineSettings)
self.engine.initialize()
if self.outputWriter is not None: self.outputWriter.open()
# begin "verification" phase
for l in self.logger, self.metadata:
if "verification" in l.differentLevel:
l.eventLogLevel = l.differentLevel["verification"]
l.setLevel(l.differentLevel["verification"])
else:
l.eventLogLevel = l.naturalLevel
l.setLevel(l.naturalLevel)
# evaluate verification blocks
modelVerificationConfig = configuration.child(config.ModelVerification,
exception=False)
if modelVerificationConfig is not None:
verify(modelVerificationConfig, self.engine, self.logger,
self.outputWriter)
# verification can increment aggregate variables, but
# aggregates should all start at zero at the start of real
# processing, whether verification happened or not
self.engine.flushAggregates()
# get the dataStream, in whatever form you find it
self.logger.info("Setting up data input.")
if self.dataStream is None:
configDataInput = configuration.child(config.DataInput,
exception=None)
if configDataInput is None:
raise ConfigurationError(
"If a dataStream is not provided to MainLoop explicitly, it must be present in the configuration file."
)
if configDataInput.contains(config.FromFile):
self.dataStream = DataStreamer(
configDataInput.child(config.FromFile),
self.engine.pmmlModel)
elif configDataInput.contains(config.FromStandardIn):
self.dataStream = DataStreamer(
configDataInput.child(config.FromStandardIn),
self.engine.pmmlModel)
elif configDataInput.contains(config.FromHTTP):
self.dataStream = AugustusHTTPDataStream(
configDataInput.child(config.FromHTTP))
if self.outputWriter is None:
self.dataStream.respond = False
if self.dataStream.respond:
self.dataStream.setupOutput(self.outputWriter)
else:
assert False
# begin "eventLoop" phase
for l in self.logger, self.metadata:
if "eventloop" in l.differentLevel:
l.eventLogLevel = l.differentLevel["eventloop"]
l.setLevel(l.differentLevel["eventloop"])
else:
l.eventLogLevel = l.naturalLevel
l.setLevel(l.naturalLevel)
# possibly set up custom processing
self.customProcessing = configuration.child(config.CustomProcessing,
exception=False)
if self.customProcessing is not None:
constants = self.engine.pmmlModel.child(pmml.Extension,
exception=False)
if constants is None:
constants = NameSpaceReadOnly()
else:
constants = constants.child(
pmml.X_ODG_CustomProcessingConstants, exception=False)
if constants is None:
constants = NameSpaceReadOnly()
else:
constants = constants.nameSpace
atoms = {
"INVALID": INVALID,
"MISSING": MISSING,
"IMMATURE": IMMATURE,
"MATURE": MATURE,
"LOCKED": LOCKED,
"UNINITIALIZED": UNINITIALIZED
}
for thing in pmml.OutputField.__dict__.values(
) + pmml.X_ODG_OutputField.__dict__.values():
if isinstance(thing, Atom):
atoms[repr(thing)] = thing
self.customProcessing.initialize(
self.model, self.engine.pmmlModel, constants,
[s.userFriendly
for s in self.engine.segmentRecords], atoms, self.logger,
self.metadata, consumerUpdateScheme, producerUpdateScheme)
self.engine.customProcessing = self.customProcessing
self.engine.reinitialize()
else:
# only turn off circular garbage collection if there is no CustomProcessing or AugustusInterface
gc.disable()
def _getUpdateScheme(self, configuration):
"""Return an UpdateScheme as specified by the user configuration.
Arguments:
configuration (XML object, defined in xmlbase):
An XML element of type "Blending"; either
<ConsumerBlending/> or <ProducerBlending/>; containing the
weightings and default settings for the model update schemes.
"""
if configuration is None: return UpdateScheme("unweighted")
params = dict(configuration.attrib)
scheme = "unweighted"
if "method" in params:
scheme = params["method"]
if scheme == "eventTimeWindow": scheme = "synchronized"
del params["method"]
if scheme in ("window", "synchronized") and "windowLag" not in params:
params["windowLag"] = 0
return UpdateScheme(scheme, **params)
def doBegin(self):
"""Executes code before the event stream; necessary for setting up metadata."""
# start of real data
self.logger.info("Setting up Augustus's main engine.")
self.engine.resetDataStream(self.dataStream)
self.dataStream.initialize()
if self.customProcessing is not None:
out = self.customProcessing.doBegin()
if out is not None and self.outputWriter and self.outputFlag:
self.outputWriter.write(out)
self.metadata.data["Events"] = 0
self.logger.info("Calculating.")
self.metadata.startTiming("Run time")
def doEvent(self):
"""Executes one event, returning False if there was an error that should stop the loop."""
score = self.engine.event(score=self.scoreFlag, update=self.updateFlag)
self.metadata.data["Events"] += 1
if self.outputWriter and self.outputFlag:
try:
self.outputWriter.write(score)
except IOError:
if self.modelWriter:
self.logger.info("About to write the model to PMML.")
self.modelWriter.write(self.model)
self.logger.info("Done writing PMML.")
return False
if self.modelWriter is not None and self.modelWriter.serialization is not None:
self.logger.debug(
"Writing a copy of the current model to PMML (model serialization)."
)
self.modelWriter.serialize(self.model,
self.metadata.data["Events"])
self.logger.debug("Done writing PMML.")
if self.aggregationSettings is not None:
if self.engine.checkPseudoeventReadiness(self.aggregationSettings):
score = self.engine.pseudoevent(
score=self.aggregateScoreFlag,
update=self.aggregateUpdateFlag)
if self.outputWriter and self.aggregateOutputFlag:
self.outputWriter.write(score)
return True
def doEnd(self):
"""Executes code after successful event processing. For file-based producers, this is when the producer algorithm starts."""
numEvents = self.engine.eventNumber
self.logger.info(
"Processed %d events before encountering StopIteration." %
numEvents)
# begin "produce" phase
for l in self.logger, self.metadata:
if "produce" in l.differentLevel:
l.setLevel(l.differentLevel["produce"])
else:
l.setLevel(l.naturalLevel)
self.engine.produce()
# begin "shutdown" phase
for l in self.logger, self.metadata:
if "shutdown" in l.differentLevel:
l.setLevel(l.differentLevel["shutdown"])
else:
l.setLevel(l.naturalLevel)
if self.customProcessing is not None:
out = self.customProcessing.doEnd()
if out is not None and self.outputWriter and self.outputFlag:
self.outputWriter.write(out)
if self.modelWriter is not None:
if self.modelWriter.serialization:
self.modelWriter.serialize(self.model,
self.metadata.data["Events"])
else:
self.logger.info("About to write the model to PMML.")
self.modelWriter.write(self.model)
self.logger.info("Done writing.")
def doShutdown(self):
"""Executes code after doEnd or an exception, if Augustus is handling exceptions (rethrowExceptions is False)."""
self.metadata.stopTiming("Run time")
if self.outputWriter: self.outputWriter.close()
if self.modelWriter and self.modelWriter.thread:
while self.modelWriter.thread.isAlive():
time.sleep(0)
self.metadata.flush()
self.logger.info("Augustus is finished.")
logging.shutdown()
def run(self):
"""Executes all events (the doBegin, doEvent ... doEvent, doEnd, doShutdown lifecycle)."""
self.doBegin()
try:
stillGoing = True
while stillGoing:
try:
stillGoing = self.doEvent()
except StopIteration:
self.doEnd()
stillGoing = False
# outside "while stillGoing" but inside try ... except (Exception, KeyboardInterrupt)"
if self.aggregationSettings is not None and self.aggregationSettings[
"atEnd"]:
score = self.engine.pseudoevent(
score=self.aggregateScoreFlag,
update=self.aggregateUpdateFlag)
if self.outputWriter and self.aggregateOutputFlag:
self.outputWriter.write(score)
except (Exception, KeyboardInterrupt), err:
if self.rethrowExceptions: raise
for l in self.logger, self.metadata:
if "shutdown" in l.differentLevel:
l.setLevel(l.differentLevel["shutdown"])
else:
l.setLevel(l.naturalLevel)
if self.customProcessing is not None:
self.customProcessing.doException()
self.logger.error(
"Shutting down on exception after %d successful events..." %
self.engine.eventNumber)
excinfo = sys.exc_info()
self.logger.error("...%s" % excinfo[0])
self.logger.error("...%s" % excinfo[1])
self.logger.error("...%s" % traceback.format_exc())
if self.fileNameOnException is not None:
self.logger.error("Writing last model in location %s" %
self.fileNameOnException)
self.model.write(self.fileNameOnException)
sys.exit(
"Shutting down on exception; for more information check the logfile (if logging is enabled)...\n%s"
% traceback.format_exc())
self.doShutdown()
def __init__(self, config_file=None, rethrowExceptions=False, dataStream=None):
# Get the configuration settings (as an XML instance)
if isinstance(config_file, config.AugustusConfiguration):
configRoot = config_file
else:
configRoot = xmlbase.loadfile(config_file, config.Config, lineNumbers=True)
if "randomSeed" in configRoot.attrib:
augustusRandomSeed = configRoot.attrib["randomSeed"]
random.seed(augustusRandomSeed)
numpy.random.seed(augustusRandomSeed + 1)
else:
augustusRandomSeed = "unspecified"
setupLogging(configRoot.matches(lambda x: x.tag in ("Logging", "Metadata")))
logger = logging.getLogger()
metadata = logging.getLogger("metadata")
for l in logger, metadata:
if "initialization" in l.differentLevel:
l.setLevel(l.differentLevel["initialization"])
else:
l.setLevel(l.naturalLevel)
logger.info("Loading PMML model.")
modelInput = configRoot.child(config.ModelInput, exception=False)
metadata.startTiming("Time to load PMML model")
pmmlModel, pmmlFileName = getModel(modelInput)
metadata.stopTiming("Time to load PMML model")
metadata.data["PMML model file"] = pmmlFileName
logger.info("Setting up data input.")
child = configRoot.child(config.DataInput, exception=False)
if dataStream is None:
fromHTTP = child.child(config.FromHTTP, exception=False)
if fromHTTP is None:
dataStreamer = getDataStreamer(child)
else:
dataStreamer = AugustusHTTPDataStream(fromHTTP)
else:
dataStreamer = dataStream
child = configRoot.child(config.ConsumerBlending, exception=False)
consumerUpdateScheme = getUpdateScheme(child)
child = configRoot.child(config.ModelSetup, exception=False)
# Default Model setup parameters
modelWriter = getModelWriter(None)
engineSettings = {"maturityThreshold": modelInput.attrib.get("maturityThreshold", 0),
"augustusRandomSeed": augustusRandomSeed,
"hasProducer": True,
}
filenameOnException = None
producerUpdateScheme = getUpdateScheme(None)
segmentationScheme = SegmentationScheme(None, pmmlModel)
aggregateUpdateFlag = updateFlag = False
producerAlgorithm = config.producerAlgorithmDefaults
for pa in producerAlgorithm.values():
if pa.validate() is not None:
raise Exception, "Programmer error in producerAlgorithmDefaults"
if child is not None:
for pa in child.matches(config.ProducerAlgorithm):
producerAlgorithm[pa.attrib["model"]] = pa
# Model setup
if child:
logger.info("Setting up model updating/producing.")
modelWriter = getModelWriter(child)
segmentationScheme = SegmentationScheme(child.child(config.SegmentationSchema, exception=False), pmmlModel)
if modelWriter is not None:
engineSettings["lockAllSegments"] = child.attrib.get("mode", None) == "lockExisting"
if child.attrib.get("mode", None) == "updateExisting":
for pa in producerAlgorithm.values():
pa.parameters["updateExisting"] = True
if child.attrib.get("mode", None) == "replaceExisting":
for pa in producerAlgorithm.values():
pa.parameters["updateExisting"] = False
updateFlag = child.attrib.get("updateEvery", "event") in ("event", "both")
aggregateUpdateFlag = child.attrib.get("updateEvery", "event") in ("aggregate", "both")
filenameOnException = "".join([modelWriter.baseName, _modelExceptionIdentifier, ".pmml"])
child = child.child(config.ProducerBlending, exception=False)
producerUpdateScheme = getUpdateScheme(child)
if child and child.exists(config.MaturityThreshold):
maturityConfig = child.child(config.MaturityThreshold)
engineSettings["maturityThreshold"] = int(maturityConfig.attrib.get("threshold", 1))
engineSettings["lockingThreshold"] = \
None if "lockingThreshold" not in \
maturityConfig.attrib \
else int(maturityConfig["lockingThreshold"])
if engineSettings["lockAllSegments"] and segmentationScheme is not None and not segmentationScheme._generic and not segmentationScheme._whiteList:
logger.warning("The model is locked and no new segments are specified...new model files will be unchanged.")
else:
logger.warning("There is no outputFile attribute in the ModelSetup; no new model file will be created.")
else:
engineSettings["hasProducer"] = False
# Set up output
child = configRoot.child(config.Output, exception=False)
outputWriter = getOutputWriter(child, pmmlFileName)
child = configRoot.child(config.EventSettings, exception=False)
if child is not None:
logger.info("Setting up output.")
# not in a dictionary to reduce the number of lookups while looping
scoreFlag = child.attrib["score"]
outputFlag = child.attrib["output"]
else:
scoreFlag = outputFlag = False
child = configRoot.child(config.AggregationSettings, exception=False)
if child is not None:
aggregateScoreFlag = child.attrib["score"]
aggregateOutputFlag = child.attrib["output"]
aggregationSettings = child.attrib
else:
aggregateScoreFlag = False
aggregateOutputFlag = False
aggregationSettings = None
metadata.data["Update model"] = "true" if updateFlag or aggregateUpdateFlag else "false"
# build engine once without a data stream
engine = Engine(pmmlModel, None, producerUpdateScheme, consumerUpdateScheme, segmentationScheme, producerAlgorithm, **engineSettings)
engine.initialize()
if outputWriter: outputWriter.open()
for l in logger, metadata:
if "verification" in l.differentLevel:
l.eventLogLevel = l.differentLevel["verification"]
l.setLevel(l.differentLevel["verification"])
else:
l.eventLogLevel = l.naturalLevel
l.setLevel(l.naturalLevel)
# score fake data from <ModelVerifications>
modelVerificationConfig = configRoot.child(config.ModelVerification, exception=False)
if modelVerificationConfig is not None:
augustus.engine.verification.verify(modelVerificationConfig, engine, logger, outputWriter)
# verification can increment aggregate variables, but
# aggregates should all start at zero at the start of real
# processing, whether verification happened or not
engine.flushAggregates()
if isinstance(dataStreamer, AugustusHTTPDataStream):
if outputWriter is None:
dataStreamer.respond = False
if dataStreamer.respond:
dataStreamer.setupOutput(outputWriter)
for l in logger, metadata:
if "eventloop" in l.differentLevel:
l.eventLogLevel = l.differentLevel["eventloop"]
l.setLevel(l.differentLevel["eventloop"])
else:
l.eventLogLevel = l.naturalLevel
l.setLevel(l.naturalLevel)
# possibly set up custom processing
customProcessing = configRoot.child(config.CustomProcessing, exception=False)
if customProcessing is not None:
constants = engine.pmmlModel.child(pmml.Extension, exception=False)
if constants is None:
constants = NameSpaceReadOnly()
else:
constants = constants.child(pmml.X_ODG_CustomProcessingConstants, exception=False)
if constants is None:
constants = NameSpaceReadOnly()
else:
constants = constants.nameSpace
atoms = {"INVALID": INVALID, "MISSING": MISSING, "IMMATURE": IMMATURE, "MATURE": MATURE, "LOCKED": LOCKED, "UNINITIALIZED": UNINITIALIZED}
for thing in pmml.OutputField.__dict__.values() + pmml.X_ODG_OutputField.__dict__.values():
if isinstance(thing, Atom):
atoms[repr(thing)] = thing
customProcessing.initialize(pmmlModel, engine.pmmlModel, constants, [s.userFriendly for s in engine.segmentRecords], atoms, logger, metadata, consumerUpdateScheme, producerUpdateScheme)
engine.customProcessing = customProcessing
engine.reinitialize()
else:
# only shut off circular garbage collection if there is no CustomProcessing or AugustusInterface
gc.disable()
self.dataStreamer = dataStreamer
self.logger = logger
self.engine = engine
self.metadata = metadata
self.aggregationSettings = aggregationSettings
self.rethrowExceptions = rethrowExceptions
self.scoreFlag = scoreFlag
self.updateFlag = updateFlag
self.outputWriter = outputWriter
self.outputFlag = outputFlag
self.modelWriter = modelWriter
self.filenameOnException = filenameOnException
self.pmmlModel = pmmlModel
self.aggregateScoreFlag = aggregateScoreFlag
self.aggregateUpdateFlag = aggregateUpdateFlag
self.aggregateOutputFlag = aggregateOutputFlag
self.customProcessing = customProcessing
class MainLoop(object):
"""Read the configuration file, set up an Augustus job, and run it.
Arguments:
configuration (string or XML object):
Literal configuration string, path to a configuration
file, or configuration XML tree structure (must be
validated). Must be provided.
model (optional string or XML object):
Literal PMML string, path to a PMML file, or a validated
XML tree structure. If provided, this overrides what is
in the configuration.
dataStream (optional class with 'initialize', 'next', and 'get'):
Explicit data stream, overriding that which is in the
configuration file.
rethrowExceptions (optional bool, default is False):
If an exception is caught by MainLoop, re-throw it to the
containing loop. Use this if you're running Augustus in
a larger program and want to handle exceptions on your
own.
Notes:
If the configuration contains a "randomSeed" directive,
MainLoop's __init__ will globally change the random seed of
Python's random library and numpy.random.
MainLoop's __init__ will globally change the numpy error
handling.
Unless the configuration has a <CustomProcessing> block (which
is always the case within an AugustusInterface), MainLoop's
__init__ will globally disable circular garbage collection.
"""
_modelExceptionIdentifier = "EXCEPTION"
def __init__(self, configuration, model=None, dataStream=None, rethrowExceptions=None):
self.model = model
self.dataStream = dataStream
self.rethrowExceptions = rethrowExceptions
self.fileNameOnException = None
# get the configuration, in whatever form you find it
if isinstance(configuration, config.AugustusConfiguration):
pass
elif isinstance(configuration, basestring):
try:
configuration = xmlbase.loadfile(configuration, config.Config, lineNumbers=True)
except IOError:
configuration = xmlbase.load(configuration, config.Config, lineNumbers=True)
else:
raise ConfigurationError("Configuration must be a pre-validated XML object, a fileName, or a literal configuration string.")
# set up logging
setupLogging(configuration.matches(lambda x: isinstance(x, (config.Logging, config.Metadata))))
self.logger = logging.getLogger()
self.metadata = logging.getLogger("metadata")
# begin "initialization" phase
for l in self.logger, self.metadata:
if "initialization" in l.differentLevel:
l.setLevel(l.differentLevel["initialization"])
else:
l.setLevel(l.naturalLevel)
# get the model, in whatever form you find it
self.logger.info("Loading PMML model.")
self.metadata.startTiming("Time to load PMML model")
modelFileName = "(none)"
maturityThreshold = 0
if self.model is None:
modelInput = configuration.child(config.ModelInput, exception=None)
if modelInput is None:
raise ConfigurationError("If a model is not provided to MainLoop explicitly, it must be present in the configuration file.")
fileLocation = modelInput["fileLocation"]
if not fileLocation.startswith("http://") and not fileLocation.startswith("https://"):
fileList = glob.glob(fileLocation)
if len(fileList) > 1:
fileList = [f for f in fileList if self._modelExceptionIdentifier not in f]
if len(fileList) == 0:
raise IOError("No files matched the ModelInput fileLocation \"%s\"." % fileLocation)
selectmode = modelInput.attrib.get("selectmode", "lastAlphabetic")
if selectmode == "mostRecent":
fileLocation = max(fileList, key=lambda x: os.stat(x).st_mtime)
elif selectmode == "lastAlphabetic":
fileList.sort()
fileLocation = fileList[-1]
else:
assert False
if self._modelExceptionIdentifier in fileLocation:
self.logger.warning("Using a PMML model that was written on exception (fileName \"%s\")" % fileLocation)
self.model = xmlbase.loadfile(fileLocation, pmml.X_ODG_PMML, lineNumbers=True)
if "maturityThreshold" in modelInput.attrib: maturityThreshold = modelInput["maturityThreshold"]
elif isinstance(self.model, pmml.PMML):
pass
elif isinstance(self.model, basestring):
try:
self.model, modelFileName = xmlbase.loadfile(self.model, pmml.X_ODG_PMML, lineNumbers=True), self.model
except IOError:
self.model = xmlbase.load(self.model, pmml.X_ODG_PMML, lineNumbers=True)
else:
raise ConfigurationError("Model must be a pre-validated XML object, a fileName, or a literal PMML string.")
self.metadata.stopTiming("Time to load PMML model")
self.metadata.data["PMML model file"] = modelFileName
# globally set random number seeds
if "randomSeed" in configuration.attrib:
augustusRandomSeed = configuration["randomSeed"]
random.seed(augustusRandomSeed)
numpy.random.seed(augustusRandomSeed + 1)
else:
augustusRandomSeed = "unspecified"
# globally set numpy error handling
numpy.seterr(divide="raise", over="raise", under="ignore", invalid="raise")
# update schemes (producerUpdateScheme may be redefined below)
consumerUpdateScheme = self._getUpdateScheme(configuration.child(config.ConsumerBlending, exception=False))
producerUpdateScheme = self._getUpdateScheme(None)
# set up scoring output
outputConfig = configuration.child(config.Output, exception=False)
if outputConfig is None:
self.outputWriter = None
else:
outputParams = {"pmmlFileName": modelFileName, "mode": outputConfig.destination.attrib.get("type", "XML").lower()}
if isinstance(outputConfig.destination, config.ToFile):
if outputConfig.destination.attrib.get("overwrite", False):
outputStream = codecs.open(outputConfig.destination["name"], "w", encoding="utf-8")
else:
outputStream = codecs.open(outputConfig.destination["name"], "a", encoding="utf-8")
elif isinstance(outputConfig.destination, config.ToStandardError):
outputStream = sys.stderr
elif isinstance(outputConfig.destination, config.ToStandardOut):
outputStream = sys.stdout
else:
assert False
reportTag = outputConfig.child("ReportTag", exception=False)
if reportTag:
outputParams["reportName"] = reportTag.attrib.get("name", "Report")
eventTag = outputConfig.child("EventTag", exception=False)
if eventTag:
outputParams["eventName"] = eventTag.attrib.get("name", "Event")
outputParams["pseudoEventName"] = eventTag.attrib.get("pseudoName", "pseudoEvent")
self.outputWriter = OutputWriter(outputStream, **outputParams)
# initialize for the case of no output model
engineSettings = {"maturityThreshold": maturityThreshold, "augustusRandomSeed": augustusRandomSeed}
self.modelWriter = None
segmentationScheme = SegmentationScheme(None, self.model)
self.updateFlag = False
self.aggregateUpdateFlag = False
producerAlgorithm = dict(config.producerAlgorithmDefaults)
for pa in producerAlgorithm.values():
validationResult = pa.validate()
assert validationResult is None
# set up output model, if present in the configuration
modelSetup = configuration.child(config.ModelSetup, exception=False)
engineSettings["hasProducer"] = modelSetup is not None
if engineSettings["hasProducer"]:
self.logger.info("Setting up model updating/producing.")
producerBlending = modelSetup.child(config.ProducerBlending, exception=False)
producerUpdateScheme = self._getUpdateScheme(producerBlending)
if producerBlending is not None and producerBlending.contains(config.MaturityThreshold):
maturityConfig = producerBlending.child(config.MaturityThreshold)
engineSettings["maturityThreshold"] = int(maturityConfig.attrib.get("threshold", 1))
try:
engineSettings["lockingThreshold"] = int(maturityConfig.attrib["lockingThreshold"])
except KeyError:
engineSettings["lockingThreshold"] = None
engineSettings["lockAllSegments"] = modelSetup.attrib.get("mode", None) == "lockExisting"
if engineSettings["lockAllSegments"] and segmentationScheme is not None and not segmentationScheme._generic and not segmentationScheme._whiteList:
self.logger.warning("The model is locked and no new segments are specified...new model files will be unchanged.")
self.modelWriter = getModelWriter(modelSetup)
if self.modelWriter is not None:
if self.modelWriter.baseName is None:
self.fileNameOnException = self._modelExceptionIdentifier + ".pmml"
else:
self.fileNameOnException = "".join([self.modelWriter.baseName, self._modelExceptionIdentifier, ".pmml"])
else:
self.logger.warning("There is no outputFile attribute in the ModelSetup; no new model file will be created.")
segmentationScheme = SegmentationScheme(modelSetup.child(config.SegmentationSchema, exception=False), self.model)
self.updateFlag = modelSetup.attrib.get("updateEvery", "event") in ("event", "both")
self.aggregateUpdateFlag = modelSetup.attrib.get("updateEvery", "event") in ("aggregate", "both")
for pa in modelSetup.matches(config.ProducerAlgorithm):
producerAlgorithm[pa["model"]] = pa
if modelSetup.attrib.get("mode", None) == "updateExisting":
for pa in producerAlgorithm.values():
pa.parameters["updateExisting"] = True
if modelSetup.attrib.get("mode", None) == "replaceExisting":
for pa in producerAlgorithm.values():
pa.parameters["updateExisting"] = False
# to score or not to score
eventSettings = configuration.child(config.EventSettings, exception=False)
if eventSettings is not None:
self.logger.info("Setting up output.")
self.scoreFlag = eventSettings["score"]
self.outputFlag = eventSettings["output"]
else:
self.scoreFlag = False
self.outputFlag = False
aggregationConfig = configuration.child(config.AggregationSettings, exception=False)
if aggregationConfig is not None:
self.aggregateScoreFlag = aggregationConfig["score"]
self.aggregateOutputFlag = aggregationConfig["output"]
self.aggregationSettings = dict(aggregationConfig.attrib)
else:
self.aggregateScoreFlag = False
self.aggregateOutputFlag = False
self.aggregationSettings = None
self.metadata.data["Update model"] = "true" if self.updateFlag or self.aggregateUpdateFlag else "false"
# build a scoring engine once without a dataStream (to evaluate any verification blocks)
self.engine = Engine(self.model, None, producerUpdateScheme, consumerUpdateScheme, segmentationScheme, producerAlgorithm, **engineSettings)
self.engine.initialize()
if self.outputWriter is not None: self.outputWriter.open()
# begin "verification" phase
for l in self.logger, self.metadata:
if "verification" in l.differentLevel:
l.eventLogLevel = l.differentLevel["verification"]
l.setLevel(l.differentLevel["verification"])
else:
l.eventLogLevel = l.naturalLevel
l.setLevel(l.naturalLevel)
# evaluate verification blocks
modelVerificationConfig = configuration.child(config.ModelVerification, exception=False)
if modelVerificationConfig is not None:
verify(modelVerificationConfig, self.engine, self.logger, self.outputWriter)
# verification can increment aggregate variables, but
# aggregates should all start at zero at the start of real
# processing, whether verification happened or not
self.engine.flushAggregates()
# get the dataStream, in whatever form you find it
self.logger.info("Setting up data input.")
if self.dataStream is None:
configDataInput = configuration.child(config.DataInput, exception=None)
if configDataInput is None:
raise ConfigurationError("If a dataStream is not provided to MainLoop explicitly, it must be present in the configuration file.")
if configDataInput.contains(config.FromFile):
self.dataStream = DataStreamer(configDataInput.child(config.FromFile), self.engine.pmmlModel)
elif configDataInput.contains(config.FromStandardIn):
self.dataStream = DataStreamer(configDataInput.child(config.FromStandardIn), self.engine.pmmlModel)
elif configDataInput.contains(config.FromHTTP):
self.dataStream = AugustusHTTPDataStream(configDataInput.child(config.FromHTTP))
if self.outputWriter is None:
self.dataStream.respond = False
if self.dataStream.respond:
self.dataStream.setupOutput(self.outputWriter)
else:
assert False
# begin "eventLoop" phase
for l in self.logger, self.metadata:
if "eventloop" in l.differentLevel:
l.eventLogLevel = l.differentLevel["eventloop"]
l.setLevel(l.differentLevel["eventloop"])
else:
l.eventLogLevel = l.naturalLevel
l.setLevel(l.naturalLevel)
# possibly set up custom processing
self.customProcessing = configuration.child(config.CustomProcessing, exception=False)
if self.customProcessing is not None:
constants = self.engine.pmmlModel.child(pmml.Extension, exception=False)
if constants is None:
constants = NameSpaceReadOnly()
else:
constants = constants.child(pmml.X_ODG_CustomProcessingConstants, exception=False)
if constants is None:
constants = NameSpaceReadOnly()
else:
constants = constants.nameSpace
atoms = {"INVALID": INVALID, "MISSING": MISSING, "IMMATURE": IMMATURE, "MATURE": MATURE, "LOCKED": LOCKED, "UNINITIALIZED": UNINITIALIZED}
for thing in pmml.OutputField.__dict__.values() + pmml.X_ODG_OutputField.__dict__.values():
if isinstance(thing, Atom):
atoms[repr(thing)] = thing
self.customProcessing.initialize(self.model, self.engine.pmmlModel, constants, [s.userFriendly for s in self.engine.segmentRecords], atoms, self.logger, self.metadata, consumerUpdateScheme, producerUpdateScheme)
self.engine.customProcessing = self.customProcessing
self.engine.reinitialize()
else:
# only turn off circular garbage collection if there is no CustomProcessing or AugustusInterface
gc.disable()
def _getUpdateScheme(self, configuration):
"""Return an UpdateScheme as specified by the user configuration.
Arguments:
configuration (XML object, defined in xmlbase):
An XML element of type "Blending"; either
<ConsumerBlending/> or <ProducerBlending/>; containing the
weightings and default settings for the model update schemes.
"""
if configuration is None: return UpdateScheme("unweighted")
params = dict(configuration.attrib)
scheme = "unweighted"
if "method" in params:
scheme = params["method"]
if scheme == "eventTimeWindow": scheme = "synchronized"
del params["method"]
if scheme in ("window", "synchronized") and "windowLag" not in params:
params["windowLag"] = 0
return UpdateScheme(scheme, **params)
def doBegin(self):
"""Executes code before the event stream; necessary for setting up metadata."""
# start of real data
self.logger.info("Setting up Augustus's main engine.")
self.engine.resetDataStream(self.dataStream)
self.dataStream.initialize()
if self.customProcessing is not None:
out = self.customProcessing.doBegin()
if out is not None and self.outputWriter and self.outputFlag:
self.outputWriter.write(out)
self.metadata.data["Events"] = 0
self.logger.info("Calculating.")
self.metadata.startTiming("Run time")
def doEvent(self):
"""Executes one event, returning False if there was an error that should stop the loop."""
score = self.engine.event(score=self.scoreFlag, update=self.updateFlag)
self.metadata.data["Events"] += 1
if self.outputWriter and self.outputFlag:
try:
self.outputWriter.write(score)
except IOError:
if self.modelWriter:
self.logger.info("About to write the model to PMML.")
self.modelWriter.write(self.model)
self.logger.info("Done writing PMML.")
return False
if self.modelWriter is not None and self.modelWriter.serialization is not None:
self.logger.debug("Writing a copy of the current model to PMML (model serialization).")
self.modelWriter.serialize(self.model, self.metadata.data["Events"])
self.logger.debug("Done writing PMML.")
if self.aggregationSettings is not None:
if self.engine.checkPseudoeventReadiness(self.aggregationSettings):
score = self.engine.pseudoevent(score=self.aggregateScoreFlag, update=self.aggregateUpdateFlag)
if self.outputWriter and self.aggregateOutputFlag:
self.outputWriter.write(score)
return True
def doEnd(self):
"""Executes code after successful event processing. For file-based producers, this is when the producer algorithm starts."""
numEvents = self.engine.eventNumber
self.logger.info("Processed %d events before encountering StopIteration." % numEvents)
# begin "produce" phase
for l in self.logger, self.metadata:
if "produce" in l.differentLevel:
l.setLevel(l.differentLevel["produce"])
else:
l.setLevel(l.naturalLevel)
self.engine.produce()
# begin "shutdown" phase
for l in self.logger, self.metadata:
if "shutdown" in l.differentLevel:
l.setLevel(l.differentLevel["shutdown"])
else:
l.setLevel(l.naturalLevel)
if self.customProcessing is not None:
out = self.customProcessing.doEnd()
if out is not None and self.outputWriter and self.outputFlag:
self.outputWriter.write(out)
if self.modelWriter is not None:
if self.modelWriter.serialization:
self.modelWriter.serialize(self.model, self.metadata.data["Events"])
else:
self.logger.info("About to write the model to PMML.")
self.modelWriter.write(self.model)
self.logger.info("Done writing.")
def doShutdown(self):
"""Executes code after doEnd or an exception, if Augustus is handling exceptions (rethrowExceptions is False)."""
self.metadata.stopTiming("Run time")
if self.outputWriter: self.outputWriter.close()
if self.modelWriter and self.modelWriter.thread:
while self.modelWriter.thread.isAlive(): time.sleep(0)
self.metadata.flush()
self.logger.info("Augustus is finished.")
logging.shutdown()
def run(self):
"""Executes all events (the doBegin, doEvent ... doEvent, doEnd, doShutdown lifecycle)."""
self.doBegin()
try:
stillGoing = True
while stillGoing:
try:
stillGoing = self.doEvent()
except StopIteration:
self.doEnd()
stillGoing = False
# outside "while stillGoing" but inside try ... except (Exception, KeyboardInterrupt)"
if self.aggregationSettings is not None and self.aggregationSettings["atEnd"]:
score = self.engine.pseudoevent(score=self.aggregateScoreFlag, update=self.aggregateUpdateFlag)
if self.outputWriter and self.aggregateOutputFlag:
self.outputWriter.write(score)
except (Exception, KeyboardInterrupt), err:
if self.rethrowExceptions: raise
for l in self.logger, self.metadata:
if "shutdown" in l.differentLevel:
l.setLevel(l.differentLevel["shutdown"])
else:
l.setLevel(l.naturalLevel)
if self.customProcessing is not None:
self.customProcessing.doException()
self.logger.error("Shutting down on exception after %d successful events..." % self.engine.eventNumber)
excinfo = sys.exc_info()
self.logger.error("...%s" % excinfo[0])
self.logger.error("...%s" % excinfo[1])
self.logger.error("...%s" % traceback.format_exc())
if self.fileNameOnException is not None:
self.logger.error("Writing last model in location %s" % self.fileNameOnException)
self.model.write(self.fileNameOnException)
sys.exit("Shutting down on exception; for more information check the logfile (if logging is enabled)...\n%s" % traceback.format_exc())
self.doShutdown()