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extra_raw.py
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/
extra_raw.py
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import csv
import json
import jieba
import os
# from pymongo import MongoClient
# from bson.json_util import dumps
raw_data_path = "C:/Users/Big data/PycharmProjects/Final_test/final_raw_data.json"
clean_data_path = "C:/Users/Big data/PycharmProjects/Final_test/clean_data.json"
reason_path = "C:/Users/Big data/PycharmProjects/Final_test/reason.csv"
win_lose_path = "C:/Users/Big data/PycharmProjects/Final_test/win_lose.csv"
court_path = "C:/Users/Big data/PycharmProjects/Final_test/court.txt"
jieba.load_userdict("C:/Users/Big data/PycharmProjects/Final_test/userdict.txt")
# 建立Mongodb連線
# mongodb_client = MongoClient('172.28.0.2:27017')
# db = mongodb_client['iii-project']
# collection = db['judicial']
#
# # 將資料從Mongodb取出
# output = []
# for i in collection.find():
# output.append(i)
#
# with open(raw_data_path,'w',encoding='utf-8') as f:
# f.write(dumps(output, ensure_ascii=False))
if os.path.isfile(clean_data_path):
os.remove(clean_data_path)
print('File deleted')
def get_latitude_longitude(court):
lls = open(court_path, encoding='utf-8').readlines()
for ll in lls:
if court == ll.split(':')[0]:
lat_lng = ll.split(':')[1].strip('\n').split(',')
lat = lat_lng[0]
lon = lat_lng[1]
return lat, lon
def law_list_segment(item):
seg_law_list = []
if item['law_list'] != []:
for i in range(len(item['law_list'])):
split_list = list(jieba.cut(item['law_list'][i].replace(' ','').replace('、',' ')))
remain_list = [x for x in split_list if x != ' ']
del remain_list[-5:]
for j in remain_list[2:-1]:
seg_law_list.append(remain_list[0]+remain_list[1]+j+remain_list[-1])
return seg_law_list
def transform(raw_data):
global city, court, judge_court
result = []
for item in raw_data:
# 分出地區與法院
city_court_list = list(jieba.cut(item['judge_id'].replace(' ', '')))
if city_court_list[0] == '最高法院':
city = '臺北'
court = '最高法院'
judge_court = '最高法院'
if city_court_list[1] == '高等法院':
city = '臺北'
court = '高等法院'
judge_court = '高等法院'
if city_court_list[1] == '高等法院' and city_court_list[3] == '分院':
city = city_court_list[2]
court = city_court_list[1] + city +city_court_list[3]
judge_court = '高等法院'
if city_court_list[2] == '地方法院':
city = city_court_list[1]
court = city + city_court_list[2]
judge_court = '地方法院'
if city_court_list[1] == '士林' and city_court_list[2] == '地方法院':
city = '臺北'
court = city_court_list[1] + city_court_list[2]
judge_court = '地方法院'
if city_court_list[0] == '福建' and city_court_list[2] == '金門':
city = city_court_list[2]
court = city_court_list[1] + city + city_court_list[3]
judge_court = '高等法院'
if city_court_list[0] == '福建' and city_court_list[2] == '地方法院':
city = city_court_list[1]
court = city + city_court_list[2]
judge_court = '地方法院'
if city_court_list[2] == '少年及家事法院':
city = city_court_list[1]
court = city + city_court_list[2]
judge_court = '少年及家事法院'
# 將"judge_date"民國時間轉換成西元時間
dates = list(jieba.cut(item['judge_date'].replace(' ', '')))
if len(dates) > 5:
date_time = str(int(dates[1])+1911)+'-'+dates[3]+'-'+dates[5]
content = item['judge_content'].replace(' ', '').replace(' ', '').split(',')
result.append(find_tags(item, date_time, content, city, court, judge_court))
return result
def find_tags(item, date_time, content, city, court, judge_court):
data = {
'judge_title': item['judge_id'],
'city': city,
'location': {
'lat': get_latitude_longitude(court)[0],
'lon': get_latitude_longitude(court)[1]
},
'court': court,
'judge_court': judge_court,
'judge_date': date_time,
'judge_reason': item['judge_reason'],
'judge_content': item['judge_content'],
'judgment_list': item['judgment_list'],
'law_list': law_list_segment(item)
}
tag_type_list = []
keyword_list = []
# 開啟reason檔案
with open(reason_path, newline='') as c1:
reason_list = csv.reader(c1)
for label in reason_list:
keyword = label[0]
tag_type = label[1]
tag = label[2]
# 判斷是否含有關鍵字，有就寫1，沒有忽略
# 刪除條件"and tag_type != 'other'"因為建模有用
if keyword in str(content):
tag_type_list.append(tag_type)
keyword_list.append(keyword)
data[tag] = 1
data[tag_type] = 1
# 開啟win_lose檔案
with open(win_lose_path, newline='') as c0:
win_lose_list = csv.reader(c0)
for label in win_lose_list:
keyword = label[0]
tag_type = label[1]
tag = label[2]
win_lose_result = label[3]
win_lose_result_int = label[4]
# 判斷是否含有關鍵字，若有關鍵字則讀出tag跟輸贏結果
if keyword in str(content):
data['win_lose'] = win_lose_result_int
# print(keyword, tag_type, tag, data['win_lose'])
tag_type_list.append(tag_type)
data['tag_type'] = sorted(set(tag_type_list), key=tag_type_list.index)
data['keywords'] = sorted(set(keyword_list), key=keyword_list.index)
# lawyer欄位：直接用one-hot encoding方式建立成四個欄位
actors = str(content).split('主文')[0]
if '律師' in actors and '本件上訴應委任律師為訴訟代理人' not in actors:
lawyer_str = actors.split('律師')
part = lawyer_str[0][-17:-9]
for s in range(1, len(lawyer_str)):
part = part + lawyer_str[s][-17:-9]
if '原告' in part and '被告' in part:
data['lawyer'] = 'both'
elif '上訴人' in part and '被上訴人' in part:
data['lawyer'] = 'both'
elif '抗告人' in part and '相對人' in part:
data['lawyer'] = 'both'
elif '反訴被告' in part and '反訴原告' in part:
data['lawyer'] = 'both'
elif ('原告' in part or '上訴人' in part or '聲請人' in part or '抗告人' in part or '反訴被告' in part) and '反訴原告' not in part:
data['lawyer'] = 'plaintiff'
elif ('被告' in part or '被上訴人' in part or '相對人' in part or '反訴原告' in part) and '反訴被告' not in part:
data['lawyer'] = 'defendant'
else:
data['lawyer'] = 'none'
else:
data['lawyer'] = 'none'
return data
def main():
# 載入Raw data
with open(raw_data_path, encoding='utf-8') as r:
raw_data = json.load(r)
trans_data = transform(raw_data)
# 輸出檔案
final_data = []
for i in trans_data:
if 'win_lose' in dict.keys(i):
final_data.append(i)
print(len(raw_data))
print(len(final_data))
json.dump(final_data, open(clean_data_path, 'w',encoding='utf-8'), ensure_ascii=False)
print('檔案輸出成功')
if __name__ == '__main__':
main()