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pipeline.py
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pipeline.py
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"""
Pipeline - Runs processes for building Classifier data
"""
import os
import classifierconfig as config
def dispatch():
for function_name, status in config.PIPELINE:
if status:
print('=' * 30)
print('Running "%s"...' % function_name)
print('=' * 30)
func = globals()[function_name]
func()
def populate_thesaurus_database():
from lex.oed.thesaurus.thesaurusdb import store_taxonomy, store_content
store_taxonomy()
store_content()
def bayes_classifier():
from bayes.bayesclassifier import BayesClassifier
bc = BayesClassifier(resources_dir=config.RESOURCES_DIR)
bc.store_features_by_sense()
bc.build_rank_files()
bc.make_classifiers()
bc.classify_new_senses()
def bayes_compounds():
from compounds.bayes.bayescompounds import BayesCompounds
bc = BayesCompounds(resources_dir=config.RESOURCES_DIR)
bc.make_classifiers()
bc.classify_new_senses(bias_last=1.2, dir='bias_low')
bc.classify_new_senses(bias_last=1.6, dir='bias_high')
bc.classify_new_senses(dir='bias_neutral')
def index_compounds():
from compounds.indexer.rawindexer import make_raw_index
from compounds.indexer.refiner import refine_index
make_raw_index(config.CLASSIFIED_DIR)
refine_index()
def index_binomials():
from resources.binomials import Binomials
bnm = Binomials(input_dir=config.CLASSIFIED_DIR,
resources_dir=config.RESOURCES_DIR,)
bnm.make_raw_index()
bnm.refine_genera_index()
bnm.refine_binomial_index()
def index_main_senses():
from resources.mainsense.mainsensecompiler import (make_raw_index,
refine_index,
finalize)
make_raw_index(config.CLASSIFIED_DIR)
refine_index()
finalize()
def index_superordinates():
from resources.superordinates.superordinateindexer import SuperordinateIndexer
from lex.oed.thesaurus.dbbackend.populator import store_superordinates
si = SuperordinateIndexer(
input_dir=config.CLASSIFIED_DIR,
output_dir=os.path.join(config.RESOURCES_DIR, 'superordinates'),
)
si.compile_index()
si.refine_index()
store_superordinates(os.path.join(config.RESOURCES_DIR, 'superordinates'))
def store_classified():
from pickler.sensemanager import SensePickler
sp = SensePickler(mode='classified',
output_dir=config.CLASSIFIED_DIR,
resources_dir=config.RESOURCES_DIR)
sp.pickle_senses()
def store_unclassified():
from pickler.sensemanager import SensePickler
sp = SensePickler(mode='unclassified',
output_dir=config.UNCLASSIFIED_DIR,
resources_dir=config.RESOURCES_DIR)
sp.pickle_senses()
def test_sense_parser():
"""
Like store_classified() and store_unclassified(), but doesn't save
the output - use for testing only.
Note this this parses both classified and unclassified senses.
"""
from pickler.sensemanager import SensePickler
sp = SensePickler(mode='both',
output_dir=None,
resources_dir=config.RESOURCES_DIR,)
sp.pickle_senses()
def reset_db():
from lex.oed.thesaurus.thesaurusdb import reset
reset()
def test_classifier():
from classifyengine.classifier import Classifier
cl = Classifier(iteration=1,
input_dir=config.UNCLASSIFIED_DIR,
output_dir=None,
resources_dir=config.RESOURCES_DIR,
mode='test',)
cl.classify()
def classify1():
from classifyengine.classifier import Classifier
cl = Classifier(iteration=1,
input_dir=config.UNCLASSIFIED_DIR,
output_dir=config.ITERATION1_DIR,
resources_dir=config.RESOURCES_DIR,)
cl.prepare_output_directories()
cl.classify()
def update_db():
from processes.dbupdater import DbUpdater
dbu = DbUpdater(
input_dir=os.path.join(config.ITERATION1_DIR, 'classified'),
)
dbu.update()
def classify2():
from classifyengine.classifier import Classifier
cl = Classifier(iteration=2,
input_dir=os.path.join(config.ITERATION1_DIR, 'unclassified'),
output_dir=config.ITERATION2_DIR,
resources_dir=config.RESOURCES_DIR,)
cl.prepare_output_directories()
cl.classify()
def statistics():
from processes.statistics import Statistics
stats = Statistics(
directories=[config.ITERATION1_DIR, config.ITERATION2_DIR, ]
)
stats.compile_stats()
def populate_json():
from websitedb.makejson import populate_taxonomy, populate_senses
populate_taxonomy(out_dir=os.path.join(config.JSON_DIR, 'taxonomy'),)
populate_senses(input=[config.ITERATION1_DIR, config.ITERATION2_DIR, ],
out_dir=os.path.join(config.JSON_DIR, 'senses'), )
def random_sample():
from processes.randomsampler import RandomSampler
rs = RandomSampler(
directories=[config.ITERATION1_DIR, config.ITERATION2_DIR, ],
out_dir=config.SAMPLES_DIR,
)
rs.iterate()
if __name__ == '__main__':
dispatch()