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jd_data_build_csv.py
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jd_data_build_csv.py
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import os
import csv
import hashlib
def get_md5(string):
"""Get md5 according to the string
"""
byte_string = string.encode("utf-8")
md5 = hashlib.md5()
md5.update(byte_string)
result = md5.hexdigest()
return result
def build_person(person_prep, person_import):
"""Create an 'person' file in csv format that can be imported into Neo4j.
format -> person_id:,name,gender,age:int,:LABEL
label -> Person
"""
print('Writing to {} file...'.format(person_import.split('/')[-1]))
with open(person_prep, 'r', encoding='utf-8') as file_prep, \
open(person_import, 'w', encoding='utf-8',newline='') as file_import:
file_prep_csv = csv.reader(file_prep, delimiter=',')
file_import_csv = csv.writer(file_import, delimiter=',')
headers = ['person_id:ID', 'name', 'gender', 'age:int', ':LABEL']
file_import_csv.writerow(headers)
for i, row in enumerate(file_prep_csv):
if i == 0 or len(row)<14:
continue
info = [row[4], row[2], row[5], row[6]]
# generate md5 according to 'name' 'gender' and 'age'
info.append('Person')
print(info)
file_import_csv.writerow(info)
print('- done.')
def build_review(review_prep, review_import):
"""Create an 'concept' file in csv format that can be imported into Neo4j.
format -> 'review_id:review_id', 'product_id', 'person_id','content','sentiment','review_time',':LABEL'
label -> Review
"""
print('Writing to {} file...'.format(review_import.split('/')[-1]))
with open(review_prep, 'r', encoding='utf-8') as file_prep, \
open(review_import, 'w', encoding='utf-8',newline='') as file_import:
file_prep_csv = csv.reader(file_prep, delimiter=',')
file_import_csv = csv.writer(file_import, delimiter=',')
# headers = ['review_id:review_id', 'product_id', 'person_id','content','sentiment','review_time',':LABEL']
headers = ['review_id:ID', 'content','sentiment','review_time',':LABEL']
file_import_csv.writerow(headers)
for i, row in enumerate(file_prep_csv):
if i == 0 or len(row)<14:
continue
info = [row[1], row[7],row[9], row[13]]
# generate md5 according to 'name' 'gender' and 'age'
info.append('Review')
print(info)
file_import_csv.writerow(info)
print('- done.')
def build_person_review(person_prep, relation_import):
"""Create an 'person_stock' file in csv format that can be imported into Neo4j.
format -> :START_ID,:END_ID,:TYPE
person_id review_id
type -> review_of
"""
print('Writing to {} file...'.format(relation_import.split('/')[-1]))
with open(person_prep, 'r', encoding='utf-8') as file_prep, \
open(relation_import, 'w', encoding='utf-8',newline='') as file_import:
file_prep_csv = csv.reader(file_prep, delimiter=',')
file_import_csv = csv.writer(file_import, delimiter=',')
headers = [':START_ID', ':END_ID', ':TYPE']
file_import_csv.writerow(headers)
for i, row in enumerate(file_prep_csv):
if i == 0 or len(row)<14:
continue
# generate md5 according to 'name' 'gender' and 'age'
relation = [row[4], row[1], 'review_of']
print(relation)
file_import_csv.writerow(relation)
print(" - done")
def bulid_first_category(product_prep, first_category_import):
"""Create an 'first_category' file in csv format that can be imported into Neo4j.
format -> :cateogry_id:category_id,name,:TYPE
type -> first_category
"""
print('Writing to {} file...'.format(first_category_import.split('/')[-1]))
with open(product_prep, 'r', encoding='utf-8') as file_prep, \
open(first_category_import ,'w', encoding='utf-8', newline='') as file_import:
file_prep_csv = csv.reader(file_prep, delimiter=',')
file_import_csv = csv.writer(file_import, delimiter=',')
headers = ['first_cateogry_id:ID','name',':LABEL']
file_import_csv.writerow(headers)
for i, row in enumerate(file_prep_csv):
if i==0 or len(row) <7:
continue
cateogry_id = get_md5(row[-2])
# print(cateogry_id,' ',name)
info = [cateogry_id, row[-2], '手机']
print(info)
file_import_csv.writerow(info)
print("-done")
def bulid_second_category(product_prep, second_category_import):
"""Create an 'first_category' file in csv format that can be imported into Neo4j.
format -> :cateogry_id:category_id,name,:TYPE
type -> first_category
"""
print('Writing to {} file...'.format(second_category_import.split('/')[-1]))
with open(product_prep, 'r', encoding='utf-8') as file_prep, \
open(second_category_import ,'w', encoding='utf-8', newline='') as file_import:
file_prep_csv = csv.reader(file_prep, delimiter=',')
file_import_csv = csv.writer(file_import, delimiter=',')
headers = ['second_cateogry_id:ID','name',':LABEL']
file_import_csv.writerow(headers)
for i, row in enumerate(file_prep_csv):
if i==0 or len(row) <7:
continue
second_category_id = get_md5(row[-1])
# print(cateogry_id,' ',name)
info = [second_category_id, row[-1], '手机品牌']
print(info)
file_import_csv.writerow(info)
print("-done")
def build_first_second(first_pre, second_pre, first_second_import):
'''
Create an 'first_second' file in csv format taht can be imported into neo4j
Format -> START_ID,END_ID,TYPE
first_cateogry_id, second_category_id , subcategory_of
Lbale -> subcategory
'''
with open(first_pre, 'r', encoding='utf8') as first_file_pre, \
open(second_pre, 'r', encoding='utf8') as second_file_pre, \
open(first_second_import, 'w', encoding='utf8', newline='') as first_second_import:
first_prep_csv = csv.reader(first_file_pre, delimiter=',')
second_prep_csv = csv.reader(second_file_pre, delimiter=',')
file_import_csv = csv.writer(first_second_import, delimiter=',')
headers = [':START_ID', ':END_ID', ':TYPE']
file_import_csv.writerow(headers)
for i, first in enumerate(first_prep_csv):
if i ==1:
start_id = first[0]
break
total_info = []
for j, second in enumerate(second_prep_csv):
if j ==0:
continue
end_id = second[0]
info = start_id +','+ end_id +',' + 'subcategory_of'
if info in total_info:
continue
else:
total_info.append(info)
for info in set(total_info):
info = info.split(',')
file_import_csv.writerow(info)
print('-done')
def build_second_product(product_pre, second_product_import):
'''
Create an 'second_product' file in csv format taht can be imported into neo4j
Format -> START_ID,END_ID,TYPE
second_category_id , product_id, product_of
Lbale -> product_of
'''
with open(product_pre, 'r', encoding='utf8') as product_file_pre, \
open(second_product_import, 'w', encoding='utf8', newline='') as second_product_file_import:
product_prep_csv = csv.reader(product_file_pre, delimiter=',')
file_import_csv = csv.writer(second_product_file_import, delimiter=',')
headers = [':START_ID', ':END_ID', ':TYPE']
file_import_csv.writerow(headers)
for i, row in enumerate(product_prep_csv):
if i ==0 or len(row)<7:
continue
start_id = get_md5(row[-1])
info = [start_id, row[0], 'product_of']
print(info)
file_import_csv.writerow(info)
print('-done')
def build_product(product_prep, product_import):
"""Create an 'product' file in csv format that can be imported into Neo4j.
format -> product_id:product_id,name,price:LABEL
label -> Company,ST
"""
with open(product_prep, 'r', encoding='utf8') as product_file_pre, \
open(product_import, 'w', encoding='utf8', newline='') as product_file_import:
product_prep_csv = csv.reader(product_file_pre, delimiter=',')
file_import_csv = csv.writer(product_file_import, delimiter=',')
headers = ['product_id:ID','name','price',':LABEL']
file_import_csv.writerow(headers)
for i, row in enumerate(product_prep_csv):
if i ==0 or len(row)<7:
continue
info = [row[0], row[1][2:-1], row[3].split('.')[0]+'￥', 'product']
print(info)
file_import_csv.writerow(info)
print('-done')
def build_review_product(review_prep, relation_import):
"""Create an 'review_product' file in csv format that can be imported into Neo4j.
format -> :START_ID,:END_ID,:TYPE
review_id product_id
type -> industry_of
"""
with open(review_prep, 'r', encoding='utf-8') as file_prep, \
open(relation_import, 'w', encoding='utf-8', newline='') as file_import:
file_prep_csv = csv.reader(file_prep, delimiter=',')
file_import_csv = csv.writer(file_import, delimiter=',')
headers = [':START_ID', ':END_ID', ':TYPE']
file_import_csv.writerow(headers)
for i, row in enumerate(file_prep_csv):
if i == 0 or len(row)<14:
continue
relation = [row[1], row[0], 'review_on']
file_import_csv.writerow(relation)
print('-done')
if __name__ == '__main__':
import_path = 'data/import'
if not os.path.exists(import_path):
os.makedirs(import_path)
build_person('data/str_review.csv', 'data/import/person.csv')
build_review('data/str_review.csv','data/import/review.csv')
build_person_review('data/str_review.csv', 'data/import/person_review.csv')
# bulid_first_category('data/product.csv', 'data/import/first.csv')
bulid_second_category('data/product.csv', 'data/import/second.csv')
build_first_second('data/import/first.csv', 'data/import/second.csv', 'data/import/first_second.csv')
# build_second_product( 'data/product.csv', 'data/import/second.csv')
build_product('data/product.csv', 'data/import/product.csv')
build_review_product('data/str_review.csv', 'data/import/review_product.csv')