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preprocess.py
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preprocess.py
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import json
import os
DATA_DIR = 'data/json/'
START_TOKEN = '<title_start>'
END_TOKEN = '<title_end/>'
PROJECTS = ['cassandra', 'elasticsearch', 'gradle', 'hadoop-common', 'hibernate-orm', 'intellij-community', 'libgdx', 'liferay-portal', 'presto', 'spring-framework', 'wildfly']
def files_to_data(DIR, FILE):
"""
DIR is the base directory containing all the json files
FILES is the filename of the json file you want to get the data from
"""
data = []
with open(os.path.join(DIR, FILE), 'r') as r:
project = json.load(r)
for method in project:
assert type(method['filename']) is str
assert type(method['name']) is list
assert type(method['tokens']) == list
method_name = [START_TOKEN] + method['name'] + [END_TOKEN] #add start and end of sequence token to method name
method_body = [x.lower() for x in method['tokens'] if (x != '<id>' and x != '</id>')] #lowercase and remove <id> tags
#when the method name appears in the body it is represented by a %self% token
#we replace the %self% token with the actual method name
while '%self%' in method_body:
self_idx = method_body.index('%self%')
method_body = method_body[:self_idx] + method['name'] + method_body[self_idx+1:]
data.append({'name': method_name, 'body': method_body})
return data
for project in PROJECTS:
print(f'Project: {project}')
train_file = f'{project}_train_methodnaming.json'
test_file = f'{project}_test_methodnaming.json'
train_data = files_to_data(DATA_DIR, train_file)
test_data = files_to_data(DATA_DIR, test_file)
print(f'Training examples: {len(train_data)}')
print(f'Testing examples: {len(test_data)}')
with open(f'data/{project}_train.json', 'w') as w:
for example in train_data:
json.dump(example, w)
w.write('\n')
with open(f'data/{project}_test.json', 'w') as w:
for example in test_data:
json.dump(example, w)
w.write('\n')