for term in terms:
if term not in term_idf:
term_idf[term] = []
term_idf[term].append(term)
return term_idf
if __name__=='__main__':
if len(sys.argv) > 1:
input_dir = sys.argv[1]
else:
input_dir = 'output/en_tf/'
config = json_io.read_json('config.json')[u'database']
doc_hash = json_io.read_json('output/doc_hash.json')
document_list = get_docs_list(input_dir)
mydb = DataDB( config[u'dbtype'], config[u'host'], config[u'dbname'], \
config[u'username'], config[u'password'], config[u'encoding'], "")
try:
term_id = mydb.select('SELECT id FROM terms order by id desc limit 1;')[0][0]
except IndexError, e:
term_id = 1
#Get idf
term_doc_list = idf(input_dir)
term_hash= {}
doc_number = len(document_list)
for term, doc in term_doc_list.iteritems():
term = term.replace("'", "")
return zh_en_group, en, zh
def lan_output(foldr, file_name, content):
with open(foldr+file_name, 'w') as f:
f.write(content.encode('utf-8'))
if __name__=='__main__':
#result = split_zh_en(sys.argv[1].decode('utf-8'))
if len(sys.argv) >= 4:
doc_input = sys.argv[1]
en_output = sys.argv[2]
zh_output = sys.argv[3]
else:
doc_input = 'output/processed_data/'
en_output = 'output/en_doc/'
zh_output = 'output/zh_doc/'
document_list = get_docs_list(doc_input)
for doc in document_list:
doc_id = 1
doc_obj = Document(doc_id, doc, doc_input)
for line in doc_obj.get_lines():
result, en, zh = split_zh_en(line.decode('utf-8'))
lan_output(en_output, doc, en)
lan_output(zh_output, doc, zh)
del doc_obj
doc_id += 1
import sys
import os
from my_class.Document import Document
from my_class.Tokenizer import Tokenizer
from doc_preprocessing import get_docs_list
from modules import json_io
from modules import csv_io
if __name__ == '__main__':
if len(sys.argv) > 1:
doc_input = sys.argv[1]
else:
doc_input = 'output/en_doc/'
document_list = get_docs_list(doc_input)
tokenizer = Tokenizer()
doc_id = 1
for doc in document_list:
doc_obj = Document(doc_id, doc, doc_input)
# tokenize
normalize_tokens = []
for line in doc_obj.get_lines():
tokens = tokenizer.to_tokens(line.decode('utf-8'))
for token in tokens:
if tokenizer.is_stop_word(token):
token = ""
elif token.isdigit():
normalize_tokens.append(token.encode('utf-8'))
else:
token = tokenizer.stemming(token)
from my_class.Document import Document
from modules import json_io
from doc_preprocessing import get_docs_list
if __name__=='__main__':
if len(sys.argv) >= 2:
data_dir = sys.argv[1]
config = sys.argv[1]
else:
data_dir = 'output/processed_data/'
config = json_io.read_json('config.json')[u'database']
doc_hash = json_io.read_json('output/doc_hash.json')
document_list = get_docs_list(data_dir)
mydb = DataDB( config[u'dbtype'], config[u'host'], config[u'dbname'], \
config[u'username'], config[u'password'], config[u'encoding'], "")
table_name = "documents"
key_list = ['doc_id', 'content']
for doc in document_list:
doc_obj = Document(doc_hash[doc], doc, data_dir)
content = doc_obj.read().replace("'", '"')
data_list = [str(doc_hash[doc]), content]
mydb.insert_data(table_name, key_list, data_list)
del doc_obj
mydb.close()
from my_class.DataDB import DataDB
from my_class.Document import Document
from modules import json_io
from doc_preprocessing import get_docs_list
if __name__ == '__main__':
if len(sys.argv) >= 2:
data_dir = sys.argv[1]
config = sys.argv[1]
else:
data_dir = 'output/processed_data/'
config = json_io.read_json('config.json')[u'database']
doc_hash = json_io.read_json('output/doc_hash.json')
document_list = get_docs_list(data_dir)
mydb = DataDB( config[u'dbtype'], config[u'host'], config[u'dbname'], \
config[u'username'], config[u'password'], config[u'encoding'], "")
table_name = "documents"
key_list = ['doc_id', 'content']
for doc in document_list:
doc_obj = Document(doc_hash[doc], doc, data_dir)
content = doc_obj.read().replace("'", '"')
data_list = [str(doc_hash[doc]), content]
mydb.insert_data(table_name, key_list, data_list)
del doc_obj
mydb.close()
json_io.write_json(output_path + doc + '.json', term_tf)
def to_db(mydb, term_id, document_list, doc_hash, input_dir):
for doc in document_list:
terms_tf = json_io.read_json(input_dir + doc)
for term, tf in terms_tf.iteritems():
term = term.replace("'", "")
if len(term) > 255:
term = term[:254]
sql = "INSERT INTO doc_lookups (doc_id,title,tf,term_id) VALUES (" \
+ "'" + str(doc_hash[doc[:-5]]) + "','" + doc[:-5] + "','" + str(tf) + "','" + str(term_id[term]) + "');"
mydb.exe_sql(sql)
if __name__ == '__main__':
if len(sys.argv) > 1:
doc_hash = csv_io.read_csv('output/doc_hash.json')
input_dir = sys.argv[1]
output_dir = 'output/zh_tf/'
else:
doc_hash = csv_io.read_csv('output/doc_hash.json')
input_dir = 'output/en_tokens/'
output_dir = 'output/en_tf/'
document_list = get_docs_list(input_dir)
for doc in document_list:
terms = csv_io.read_csv(input_dir + doc)
tf(terms, output_dir)
