class Application(object):
"""
This just stores a pipeline object and makes sure
the given temporary directory exists. (only used for
testing the speech recognition miner independently)
"""
def __init__(self, tmpDir):
# Check if temp directory exists, if not create it.
if not os.path.exists(tmpDir):
os.makedirs(tmpDir)
# Store path to temp directory
self.tmpDir = tmpDir
# Create pipeline
self.pl = Pipeline()
def acquireAndBuildCorpus(self, acquireTag, minerTag, corpusTag, *acquireArgs):
# Call the pipeline function
self.pl.acquireAndBuildCorpus(acquireTag, minerTag, corpusTag, *acquireArgs)
def clean(self):
# Delete all files in temp directory
for f in os.listdir(self.tmpDir):
fpath = os.path.join(self.tmpDir, f)
try:
if os.path.isfile(fpath):
os.unlink(fpath)
except Exception as e:
print e
def clear(self):
# Clear and delete the temp directory
rmtree(self.tmpDir)
