def debiasing_gbdd_bam():
logging.info("APP: " + str(datetime.datetime.now()) + " GBDDxBAM Debiasing started")
content = request.get_json()
bar = request.args.to_dict()
response, status_code = debiasing_controller.debiasing('gbddxbam', content, bar)
return response, status_code
def debiasing_bam_gbdd():
logging.info("APP: " + str(datetime.datetime.now()) + " BAMxGBDD Debiasing started")
content = request.get_json()
bar = request.args.to_dict()
# print(content)
# print(bar)
response, status_code = debiasing_controller.debiasing('bamxgbdd', content, bar)
return response, status_code
def debiasing_config(configfile):
global space
global uploaded
global json_value
global lower
global debiasing
global specification_data
global specification_file
with open(configfile) as json_file:
config_data = json.load(json_file)
if 'space' in config_data:
space = config_data['space']
else:
space = 'fasttext'
if 'uploaded' in config_data:
uploaded = config_data['uploaded']
else:
uploaded = "false"
if 'json' in config_data:
json_value = config_data['json']
if 'lower' in config_data:
lower = config_data['lower']
if 'debiasing' in config_data:
debiasing = config_data['debiasing']
else:
debiasing = 'bam'
if 'pca' in config_data:
pca = config_data['pca']
specification_data = config_data
specification_file = configfile
print("\nDEBIE -- " + debiasing + "-Debiasing started at " +
str(datetime.now()))
bar = {"space": space, "lower": lower, "pca": pca, "uploaded": uploaded}
response, status_code = debiasing_controller.debiasing(
debiasing, specification_data, bar)
filename = specification_file.replace(".json", "").replace(
".txt", "") + "-debiased" + ".json"
file = open(filename, "w")
file.write(response)
print("\n\033[96m" + "DEBIE -- Debiased Space saved as " + filename +
"\033[0m")
print(" Time: " + str(datetime.now()) + "\n")
return file
def save_full_space():
global space
global uploaded
global specification_data
global specification_file
global lower
global debiasing
global pca
print("\nDEBIE -- " + debiasing + "-Debiasing started at " +
str(datetime.now()))
bar = {"space": space, "lower": lower, "pca": pca, "uploaded": uploaded}
vocab, vecs = debiasing_controller.debiasing(debiasing, specification_data,
bar)
vocab_filename = specification_file.replace(".json", "-debiased.vocab")
vecs_filename = specification_file.replace(".json", "-debiased.vecs")
numpy.save(vocab_filename, vocab, allow_pickle=True)
numpy.save(vecs_filename, vecs, allow_pickle=True)
print("\n\033[96m" + "DEBIE -- Debiased Space saved as " + vocab_filename +
" and " + vecs_filename + "\033[0m")
print(" Time: " + str(datetime.now()) + "\n")
def exe_debiasing():
global space
global uploaded
global specification_data
global specification_file
global lower
global debiasing
global pca
print("\nDEBIE -- " + debiasing + "-Debiasing started at " +
str(datetime.now()))
bar = {"space": space, "lower": lower, "pca": pca, "uploaded": uploaded}
response, status_code = debiasing_controller.debiasing(
debiasing, specification_data, bar)
filename = specification_file.replace(".json", "").replace(
".txt", "") + "-debiased" + ".json"
file = open(filename, "w")
file.write(response)
print("\n\033[96m" + "DEBIE -- Debiased Space saved as " + filename +
"\033[0m")
print(" Time: " + str(datetime.now()) + "\n")
return select_method()