def __init__(self, configfile):
""" Constructor. """
BaseObject.__init__(self)
self.name("OA")
self.version("1.0")
# Build configuration
self.config = Configuration(configfile)
# Create analyzer
self.analyzer = Analyzer(self.config)
# Default output function
self.outfunc = lambda data, params: data
# Load output function
try:
# Import module
__import__(self.config.output["oa"]["module"])
# Create object
outclass = getattr(sys.modules[self.config.output["oa"]["module"]], self.config.output["oa"]["class"])
self.out = outclass(self.config.output["oa"]["parameters"])
self.outfunc = self.out.output
except Exception as e:
self.logger.error("[%s] Error loading the output function (Error: %s)", self.name(), e, exc_info=True)
class OA(BaseObject):
""" Implement the main OA processing
"""
def __init__(self, configfile):
""" Constructor. """
BaseObject.__init__(self)
self.name("OA")
self.version("1.0")
# Build configuration
self.config = Configuration(configfile)
# Create analyzer
self.analyzer = Analyzer(self.config)
# Default output function
self.outfunc = lambda data, params: data
# Load output function
try:
# Import module
__import__(self.config.output["oa"]["module"])
# Create object
outclass = getattr(sys.modules[self.config.output["oa"]["module"]], self.config.output["oa"]["class"])
self.out = outclass(self.config.output["oa"]["parameters"])
self.outfunc = self.out.output
except Exception as e:
self.logger.error("[%s] Error loading the output function (Error: %s)", self.name(), e, exc_info=True)
def process(self, filename):
""" Take as input an HDF5 file name and return the preprocessed data. """
data = self.analyzer.analyze(filename)
# Purge from data all the raw data
for k in tuple(data.keys()):
if data[k].classtype() == "Raw":
del data[k]
# Output function parameters
params = {"filename": filename}
# Run output function
return self.outfunc(data, params)
