# coding=utf-8
import sys
import re
import mysql_pool
from pymysql.converters import escape_string
import cosin_similarity
import pandas as pd
import datetime
import requests
wdys1 = {
"项目名称": "xmmc",
"现状问题": "xzwt",
"系统基础": "xtjc",
"项目目标": "xmmb",
"预期绩效": "yqjx",
"建设需求": "jsxq",
"数据需求": "sjxq",
"安全需求": "aqxq",
"业务领域": "ywly",
"核心业务": "hxyw",
"业务需求": "ywxq",
"业务协同": "ywxt",
"建设层级": "jscj",
"用户范围": "yhfw",
"目标群体": "mbqt",
"建设内容": "jsnr",
"功能模块": "gnmk",
"数据共享": "sjgx",
"智能要素": "znys"
}
wdys2 = {
"xmmc": "项目名称",
"xzwt": "现状问题",
"xtjc": "系统基础",
"xmmb": "项目目标",
"yqjx": "预期绩效",
"jsxq": "建设需求",
"sjxq": "数据需求",
"aqxq": "安全需求",
"ywly": "业务领域",
"hxyw": "核心业务",
"ywxq": "业务需求",
"ywxt": "业务协同",
"jscj": "建设层级",
"yhfw": "用户范围",
"mbqt": "目标群体",
"jsnr": "建设内容",
"gnmk": "功能模块",
"sjgx": "数据共享",
"znys": "智能要素"
}
gnmkys = {
"gnmc": "功能名称",
"gnms": "功能描述"
}
def getFlag():
data_dict = {}
df = pd.read_excel("0825.xlsx")
data = df.values
data = list(pd.Series(data[:, 1]).dropna())
for d in data:
try:
wd = re.search("(.*?)(.*?%)", d).group(1).strip()
wdc = wdys1.get(wd)
if wdc:
qz = re.search(".*?((.*?%))", d).group(1)
data_dict[wdc] = qz
except:
pass
return data_dict
def gong_neng_mo_kuai(mysql, dl, data, er_title):
# 将excel文件中的所有第三维度内容进行拼接
str_dict = {}
for et in er_title:
for d in data:
if d[1] == et:
if str_dict.get(et):
str_dict[et] = str_dict.get(et) + d[3]
else:
str_dict[et] = d[3]
for k, v in str_dict.items():
mysql.sql_change_msg(
"""insert into idc_project_module (project_id, check_duplicate_count, module_name, module_content, create_time, update_time, tag) value(%d, 1, "%s", "%s", "%s", "%s", "模块")""" % (
int(dl[0]), k, v, str(datetime.datetime.now())[:-7], str(datetime.datetime.now())[:-7]))
module_id_list = mysql.sql_select_many(
"""select project_module_id, module_name, module_content from idc_project_module where project_id=%d""" % dl[
0])
data_list = []
for mil in module_id_list:
data_dict = {}
data_dict["project_module_id"] = mil.get("project_module_id")
data_dict["gnmc"] = mil.get("module_name")
data_dict["gnms"] = mil.get("module_content")
data_list.append(data_dict)
# print(data_list)
for i in data_list:
gnmk_copy1 = mysql.sql_select_many("""select * from user_history_module_data""")
if gnmk_copy1:
for gc in gnmk_copy1:
print(
"""insert into idc_project_module_check (project_module_id, module_name, project_name, company_name, create_time, update_time) value(%d, "%s", "%s", "%s", "%s", "%s")"""
% (
i.get("project_module_id"), escape_string(gc.get("gnmc")), escape_string(gc.get("xmmc")), "",
str(datetime.datetime.now())[:-7],
str(datetime.datetime.now())[:-7]))
mysql.sql_change_msg(
"""insert into idc_project_module_check (project_module_id, module_name, project_name, company_name, create_time, update_time) value(%d, "%s", "%s", "%s", "%s", "%s")"""
% (
i.get("project_module_id"), escape_string(gc.get("gnmc")), escape_string(gc.get("xmmc")), "",
str(datetime.datetime.now())[:-7],
str(datetime.datetime.now())[:-7]))
dup_module_id = mysql.cur.lastrowid
check_module_info(mysql, gc, dl, i, dup_module_id)
gnmk_gjc = {}
for a in ["gnmc", "gnms"]:
if i.get(a):
content_x = i.get(a)
content_y = i.get(a)
if a == "gnmc":
similarity = cosin_similarity.CosineSimilarity(content_x, content_y)
# 相似度 关键词
similarity, keyword_x, keywords = similarity.main()
# 去重
keywords = list(set(keywords))
gnmk_gjc[a] = keywords
else:
similarity = cosin_similarity.CosineSimilarity(content_x, content_y)
# 相似度 关键词
similarity, keyword_x, keywords = similarity.main()
# 去重
keywords = list(set(keywords))
gnmk_gjc[a] = keywords
mysql.sql_change_msg("""insert into user_module_keywords (xmmc, gnmc, gnms) value("%s", "%s", "%s")""" % (
dl[2], str(gnmk_gjc.get("gnmc"))[1:-1] if gnmk_gjc.get("gnmc") else None,
str(gnmk_gjc.get("gnms"))[1:-1] if gnmk_gjc.get("gnms") else None))
def check_module_info(mysql, gc, dl, pro, dup_module_id):
total_similarity1 = 0
total_keywords1 = []
total_similarity2 = 0
total_keywords2 = []
for j in ["gnmc", "gnms"]:
# 循环遍历每一个模块名称
content_x = gc.get(j)
content_y = pro.get(j)
if content_x and content_y:
if j == "gnmc":
similarity = cosin_similarity.CosineSimilarity(content_x, content_y)
# 相似度 关键词
similarity, keyword_x, keywords = similarity.main()
similarity = similarity * 1
total_keywords1 += keywords
# print("######################相似度: %.2f%%" % similarity, "关键词: %s" % keywords)
# 相似度相加
total_similarity1 += similarity
mysql.sql_change_msg(
"""insert into idc_project_module_check_detail (dup_module_id, project_name, module_content, dup_module_content, similarity, dimension, create_time, update_time) value (%d, "%s", "%s", "%s", %f, "%s", "%s", "%s")"""
% (dup_module_id, dl[2], escape_string(content_y), escape_string(content_x), similarity,
"功能名称",
str(datetime.datetime.now())[:-7], str(datetime.datetime.now())[:-7]))
else:
similarity = cosin_similarity.CosineSimilarity(content_x, content_y)
# 相似度 关键词
similarity, keyword_x, keywords = similarity.main()
similarity = similarity * 99
total_keywords2 += keywords
# print("######################相似度: %.2f%%" % similarity, "关键词: %s" % keywords)
# 相似度相加
total_similarity2 += similarity
mysql.sql_change_msg(
"""insert into idc_project_module_check_detail (dup_module_id, project_name, module_content, dup_module_content, similarity, dimension, create_time, update_time) value (%d, "%s", "%s", "%s", %f, "%s", "%s", "%s")"""
% (dup_module_id, dl[2], escape_string(content_y), escape_string(content_x), similarity,
"功能模块描述",
str(datetime.datetime.now())[:-7], str(datetime.datetime.now())[:-7]))
mysql.sql_change_msg("""update idc_project_module_check set similarity=%f where dup_module_id=%d""" % (
total_similarity1 + total_similarity2, dup_module_id))
def project_check(data_list):
mysql = mysql_pool.ConnMysql()
# mysql.sql_select_many("""select * from mkgjc""")
# 读取维度和权重
# xmnr_count = len(mysql.sql_select_many("""select * from xmnr_copy1"""))
# gnmk_count = len(mysql.sql_select_many("""select * from gnmk_copy1"""))
xmnr_count = len(mysql.sql_select_many("""select * from user_history_data"""))
gnmk_count = len(mysql.sql_select_many("""select * from user_history_module_data"""))
get_data_dict = getFlag()
# 遍历excel存储路径
for dl in data_list:
# path = "0825-丽水系统查重维度1.xlsx"
# 读取路径下的excel
print(dl,dl[1])
df = pd.read_excel(dl[1])
data = df.values
# 将excel文件中的所有维度内容进行拼接
join_str = ""
str_dict = {}
gnmk_str = []
title = ""
er_title = set()
for d in data:
# if pd.notnull(d[0]):
# title = d[0]
# if title == "功能模块":
# er_title.add(d[1])
# join_str = ""
# for i in d[1:]:
# if pd.notnull(i):
# join_str += str(i)
# str_dict[wdys1.get(title)] = join_str
if pd.notnull(d[0]):
title = d[0]
if title == "功能模块":
er_title.add(d[1])
join_str = ""
for i in d[1:]:
if pd.notnull(i):
join_str += str(i)
if title == "功能模块":
if i == '功能描述':
continue
else:
gnmk_str.append(i)
str_dict[wdys1.get(title)] = join_str
else:
if title == "功能模块":
er_title.add(d[1])
for i in d[1:]:
if pd.notnull(i):
join_str += str(i)
str_dict[wdys1.get(title)] = str_dict.get(wdys1.get(title)) + join_str
# print(str_dict)
gnmk = ",".join(gnmk_str)
str_dict['gnmk'] = gnmk
mysql.sql_change_msg(
"""insert into user_data (xmmc, xzwt, xtjc, xmmb, yqjx, jsxq, sjxq, aqxq, ywly, hxyw, ywxq, ywxt, jscj, yhfw, mbqt, jsnr, gnmk, sjgx, znys) value ("%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s")"""
% (dl[0], str_dict.get("xzwt") if str_dict.get("xzwt") else None,
str_dict.get("xtjc") if str_dict.get("xtjc") else None,
str_dict.get("xmmb") if str_dict.get("xmmb") else None,
str_dict.get("yqjx") if str_dict.get("yqjx") else None,
str_dict.get("jsxq") if str_dict.get("jsxq") else None,
str_dict.get("sjxq") if str_dict.get("sjxq") else None,
str_dict.get("aqxq") if str_dict.get("aqxq") else None,
str_dict.get("ywly") if str_dict.get("ywly") else None,
str_dict.get("hxyw") if str_dict.get("hxyw") else None,
str_dict.get("ywxq") if str_dict.get("ywxq") else None,
str_dict.get("ywxt") if str_dict.get("ywxt") else None,
str_dict.get("jscj") if str_dict.get("jscj") else None,
str_dict.get("yhfw") if str_dict.get("yhfw") else None,
str_dict.get("mbqt") if str_dict.get("mbqt") else None,
str_dict.get("jsnr") if str_dict.get("jsnr") else None,
str_dict.get("gnmk") if str_dict.get("gnmk") else None,
str_dict.get("sjgx") if str_dict.get("sjgx") else None,
str_dict.get("znys") if str_dict.get("znys") else None))
# 或取所有的xmnr_copy1
xmnr_copy1 = mysql.sql_select_many("""select * from user_history_data""")
# 对比xmnr_copy1和xmnr维度是否都有
if xmnr_copy1:
# threads = [Thread(target=check_project_info, args=(mysql, dl, xc, str_dict)) for xc in xmnr_copy1]
# for t in threads:
# t.start()
#
# for t in threads:
# t.join()
for xc in xmnr_copy1:
check_project_info(mysql, dl, xc, str_dict)
project_gjc = {}
for w in wdys2.keys():
content_x = str_dict.get(w)
content_y = str_dict.get(w)
if content_x and content_y:
# 循环遍历每一个维度
similarity = cosin_similarity.CosineSimilarity(content_x, content_y)
# 相似度 关键词
similarity, keywords_x, keywords = similarity.main()
# 去重
keywords = list(set(keywords))
project_gjc[w] = keywords
mysql.sql_change_msg(
"""insert into user_keyword (xmmc, xzwt, xtjc, xmmb, yqjx, jsxq, sjxq, aqxq, ywly, hxyw, ywxq, ywxt, jscj, yhfw, mbqt, jsnr, gnmk, sjgx, znys) value ("%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s")"""
% (dl[0], str(project_gjc.get("xzwt"))[1:-1] if project_gjc.get("xzwt") else None,
str(project_gjc.get("xtjc"))[1:-1] if project_gjc.get("xtjc") else None,
str(project_gjc.get("xmmb"))[1:-1] if project_gjc.get("xmmb") else None,
str(project_gjc.get("yqjx"))[1:-1] if project_gjc.get("yqjx") else None,
str(project_gjc.get("jsxq"))[1:-1] if project_gjc.get("jsxq") else None,
str(project_gjc.get("sjxq"))[1:-1] if project_gjc.get("sjxq") else None,
str(project_gjc.get("aqxq"))[1:-1] if project_gjc.get("aqxq") else None,
str(project_gjc.get("ywly"))[1:-1] if project_gjc.get("ywly") else None,
str(project_gjc.get("hxyw"))[1:-1] if project_gjc.get("hxyw") else None,
str(project_gjc.get("ywxq"))[1:-1] if project_gjc.get("ywxq") else None,
str(project_gjc.get("ywxt"))[1:-1] if project_gjc.get("ywxt") else None,
str(project_gjc.get("jscj"))[1:-1] if project_gjc.get("jscj") else None,
str(project_gjc.get("yhfw"))[1:-1] if project_gjc.get("yhfw") else None,
str(project_gjc.get("mbqt"))[1:-1] if project_gjc.get("mbqt") else None,
str(project_gjc.get("jsnr"))[1:-1] if project_gjc.get("jsnr") else None,
str(project_gjc.get("gnmk"))[1:-1] if project_gjc.get("gnmk") else None,
str(project_gjc.get("sjgx"))[1:-1] if project_gjc.get("sjgx") else None,
str(project_gjc.get("znys"))[1:-1] if project_gjc.get("znys") else None))
mysql.sql_change_msg(
"""update idc_project set dup_status=3, one_vote_veto_status=1, self_check_status=1, history_project_count=%d ,module_count=%d where project_id=%d""" % (
xmnr_count, gnmk_count, dl[0]))
gong_neng_mo_kuai(mysql, dl, data, er_title)
def check_project_info(mysql, dl, xc, str_dict):
total_keywords = {}
total_similarity = 0
dup_count = 0
# 保存相加后的相似度到idc_project_check
print(f'xmmc is {xc.get("xmmc")}')
mysql.sql_change_msg(
"""insert into idc_project_check (project_id, dup_project_name, file_path, company_name, create_year, project_tag, project_range_tag, project_area, create_time, update_time) value ("%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s", "%s")"""
% (dl[0], escape_string(xc.get("xmmc")), escape_string(dl[1]), "", "", "需求相似、业务相似", "历史项目", "",
str(datetime.datetime.now())[:-7], str(datetime.datetime.now())[:-7]))
dup_id = mysql.cur.lastrowid
for x in list(xc.keys())[1:]:
content_x = xc.get(x)
content_y = str_dict.get(x)
if content_x and content_y:
if x == 'gnmk':
continue
elif x == 'jsnr':
continue
else:
dup_count += 1
if ((xc['gnmk'] == 'None' or xc['gnmk'] is None or str.strip(xc['gnmk']) == '') and (str_dict['gnmk'] is None or str.strip(str_dict['gnmk']) == '')) and (
not xc['jsnr'] is None and xc['jsnr'] != 'None' and not str_dict['jsnr'] is None and len(str.strip(str_dict['jsnr'])) > 0):
for x in list(xc.keys())[1:]:
content_x = xc.get(x)
content_y = str_dict.get(x)
if content_x and content_y:
if x == 'gnmk':
# 匹配到历史数据,次数加1
# dup_count += dup_file_test
# 循环遍历每一个维度
similarity = cosin_similarity.CosineSimilarity(content_x, content_y)
# 相似度 关键词
similarity, keywords_x, keywords_y = similarity.main()
similarity = similarity * 0
# print("**************相似度: %.2f%%" % similarity, "关键词: %s" % keywords_y)
# 相似度相加
total_similarity += similarity
# 去重
keywords_y = list(set(keywords_y))
# 去重
keywords_x = list(set(keywords_x))
# 关键词收集
total_keywords[x] = keywords_y
function_content = content_y
dup_function_content = content_x
for word_y in keywords_y:
word_y = word_y.strip().strip("'").strip('"')
if word_y != '':
function_content = str(function_content.replace("\"", "'")).replace(word_y,
f'{word_y.strip()}')
for word_x in keywords_x:
word_x = word_x.strip().strip("'").strip('"')
if word_x != '':
dup_function_content = str(dup_function_content.replace("\"", "'")).replace(word_x,
f'{word_x.strip()}')
# 保存每个维度对应的相似度到idc_project_check_detail
mysql.sql_change_msg(
"""insert into idc_project_check_detail (dup_id, dimension, similarity, function_content, dup_function_content, create_time, update_time) value (%d, "%s", %f, "%s", "%s", "%s", "%s")"""
% (dup_id, wdys2.get(x), similarity, escape_string(function_content),
escape_string(dup_function_content), str(datetime.datetime.now())[:-7],
str(datetime.datetime.now())[:-7]))
# content = content.replace(gjcs, f'{gjcs.strip()}')
elif x == 'jsnr':
similarity = cosin_similarity.CosineSimilarity(content_x, content_y)
# 相似度 关键词
similarity, keywords_x, keywords_y = similarity.main()
similarity = similarity * 40
# print("**************相似度: %.2f%%" % similarity, "关键词: %s" % keywords_y)
# 相似度相加
total_similarity += similarity
# 去重
keywords_y = list(set(keywords_y))
# 去重
keywords_x = list(set(keywords_x))
# 关键词收集
total_keywords[x] = keywords_y
function_content = content_y
dup_function_content = content_x
for word_y in keywords_y:
word_y = word_y.strip().strip("'").strip('"')
if word_y != '':
function_content = str(function_content.replace("\"", "'")).replace(word_y,
f'{word_y.strip()}')
for word_x in keywords_x:
word_x = word_x.strip().strip("'").strip('"')
if word_x != '':
dup_function_content = str(dup_function_content.replace("\"", "'")).replace(word_x,
f'{word_x.strip()}')
# 保存每个维度对应的相似度到idc_project_check_detail
mysql.sql_change_msg(
"""insert into idc_project_check_detail (dup_id, dimension, similarity, function_content, dup_function_content, create_time, update_time) value (%d, "%s", %f, "%s", "%s", "%s", "%s")"""
% (dup_id, wdys2.get(x), similarity, escape_string(function_content),
escape_string(dup_function_content), str(datetime.datetime.now())[:-7],
str(datetime.datetime.now())[:-7]))
else:
similarity = cosin_similarity.CosineSimilarity(content_x, content_y)
# 相似度 关键词
similarity, keywords_x, keywords_y = similarity.main()
similarity = similarity * (60 / dup_count)
# print("**************相似度: %.2f%%" % similarity, "关键词: %s" % keywords_y)
# 相似度相加
total_similarity += similarity
# 去重
keywords_y = list(set(keywords_y))
# 去重
keywords_x = list(set(keywords_x))
# 关键词收集
total_keywords[x] = keywords_y
function_content = content_y
dup_function_content = content_x
for word_y in keywords_y:
word_y = word_y.strip().strip("'").strip('"')
if word_y != '':
function_content = str(function_content.replace("\"", "'")).replace(word_y,
f'{word_y.strip()}')
for word_x in keywords_x:
word_x = word_x.strip().strip("'").strip('"')
if word_x != '':
dup_function_content = str(dup_function_content.replace("\"", "'")).replace(word_x,
f'{word_x.strip()}')
# 保存每个维度对应的相似度到idc_project_check_detail
mysql.sql_change_msg(
"""insert into idc_project_check_detail (dup_id, dimension, similarity, function_content, dup_function_content, create_time, update_time) value (%d, "%s", %f, "%s", "%s", "%s", "%s")"""
% (dup_id, wdys2.get(x), similarity, escape_string(function_content),
escape_string(dup_function_content), str(datetime.datetime.now())[:-7],
str(datetime.datetime.now())[:-7]))
elif ((xc['jsnr'] == 'None' or xc['jsnr'] is None or str.strip(xc['jsnr']) == '') and (str_dict['jsnr'] is None or str.strip(str_dict['jsnr']) == '')) and (
not xc['gnmk'] is None and xc['gnmk'] != 'None' and not str_dict['gnmk'] is None and len(str.strip(str_dict['gnmk'])) > 0):
for x in list(xc.keys())[1:]:
content_x = xc.get(x)
content_y = str_dict.get(x)
if content_x and content_y:
if x == 'gnmk':
# 匹配到历史数据,次数加1
# dup_count += dup_file_test
# 循环遍历每一个维度
similarity = cosin_similarity.CosineSimilarity(content_x, content_y)
# 相似度 关键词
similarity, keywords_x, keywords_y = similarity.main()
similarity = similarity * 50
# print("**************相似度: %.2f%%" % similarity, "关键词: %s" % keywords_y)
# 相似度相加
total_similarity += similarity
# 去重
keywords_y = list(set(keywords_y))
# 去重
keywords_x = list(set(keywords_x))
# 关键词收集
total_keywords[x] = keywords_y
function_content = content_y
dup_function_content = content_x
for word_y in keywords_y:
word_y = word_y.strip().strip("'").strip('"')
if word_y != '':
function_content = str(function_content.replace("\"", "'")).replace(word_y,
f'{word_y.strip()}')
for word_x in keywords_x:
word_x = word_x.strip().strip("'").strip('"')
if word_x != '':
dup_function_content = str(dup_function_content.replace("\"", "'")).replace(word_x,
f'{word_x.strip()}')
# 保存每个维度对应的相似度到idc_project_check_detail
mysql.sql_change_msg(
"""insert into idc_project_check_detail (dup_id, dimension, similarity, function_content, dup_function_content, create_time, update_time) value (%d, "%s", %f, "%s", "%s", "%s", "%s")"""
% (dup_id, wdys2.get(x), similarity, escape_string(function_content),
escape_string(dup_function_content), str(datetime.datetime.now())[:-7],
str(datetime.datetime.now())[:-7]))
# content = content.replace(gjcs, f'{gjcs.strip()}')
elif x == 'jsnr':
similarity = cosin_similarity.CosineSimilarity(content_x, content_y)
# 相似度 关键词
similarity, keywords_x, keywords_y = similarity.main()
similarity = similarity * 0
# print("**************相似度: %.2f%%" % similarity, "关键词: %s" % keywords_y)
# 相似度相加
total_similarity += similarity
# 去重
keywords_y = list(set(keywords_y))
# 去重
keywords_x = list(set(keywords_x))
# 关键词收集
total_keywords[x] = keywords_y
function_content = content_y
dup_function_content = content_x
for word_y in keywords_y:
word_y = word_y.strip().strip("'").strip('"')
if word_y != '':
function_content = str(function_content.replace("\"", "'")).replace(word_y,
f'{word_y.strip()}')
for word_x in keywords_x:
word_x = word_x.strip().strip("'").strip('"')
if word_x != '':
dup_function_content = str(dup_function_content.replace("\"", "'")).replace(word_x,
f'{word_x.strip()}')
# 保存每个维度对应的相似度到idc_project_check_detail
mysql.sql_change_msg(
"""insert into idc_project_check_detail (dup_id, dimension, similarity, function_content, dup_function_content, create_time, update_time) value (%d, "%s", %f, "%s", "%s", "%s", "%s")"""
% (dup_id, wdys2.get(x), similarity, escape_string(function_content),
escape_string(dup_function_content), str(datetime.datetime.now())[:-7],
str(datetime.datetime.now())[:-7]))
else:
similarity = cosin_similarity.CosineSimilarity(content_x, content_y)
# 相似度 关键词
similarity, keywords_x, keywords_y = similarity.main()
similarity = similarity * (50 / dup_count)
# print("**************相似度: %.2f%%" % similarity, "关键词: %s" % keywords_y)
# 相似度相加
total_similarity += similarity
# 去重
keywords_y = list(set(keywords_y))
# 去重
keywords_x = list(set(keywords_x))
# 关键词收集
total_keywords[x] = keywords_y
function_content = content_y
dup_function_content = content_x
for word_y in keywords_y:
word_y = word_y.strip().strip("'").strip('"')
if word_y != '':
function_content = str(function_content.replace("\"", "'")).replace(word_y,
f'{word_y.strip()}')
for word_x in keywords_x:
word_x = word_x.strip().strip("'").strip('"')
if word_x != '':
dup_function_content = str(dup_function_content.replace("\"", "'")).replace(word_x,
f'{word_x.strip()}')
# 保存每个维度对应的相似度到idc_project_check_detail
mysql.sql_change_msg(
"""insert into idc_project_check_detail (dup_id, dimension, similarity, function_content, dup_function_content, create_time, update_time) value (%d, "%s", %f, "%s", "%s", "%s", "%s")"""
% (dup_id, wdys2.get(x), similarity, escape_string(function_content),
escape_string(dup_function_content), str(datetime.datetime.now())[:-7],
str(datetime.datetime.now())[:-7]))
else:
for x in list(xc.keys())[1:]:
content_x = xc.get(x)
content_y = str_dict.get(x)
if content_x and content_y:
if x == 'gnmk':
# 匹配到历史数据,次数加1
# dup_count += dup_file_test
# 循环遍历每一个维度
similarity = cosin_similarity.CosineSimilarity(content_x, content_y)
# 相似度 关键词
similarity, keywords_x, keywords_y = similarity.main()
similarity = similarity * 50
# 相似度相加
total_similarity += similarity
# 去重
keywords_y = list(set(keywords_y))
# 去重
keywords_x = list(set(keywords_x))
print("**************相似度: %.2f%%" % similarity, "关键词: %s" % keywords_y)
# 关键词收集
total_keywords[x] = keywords_y
function_content = content_y
dup_function_content = content_x
for word_y in keywords_y:
word_y = word_y.strip().strip("'").strip('"')
if word_y != '':
function_content = str(function_content.replace("\"", "'")).replace(word_y,
f'{word_y.strip()}')
for word_x in keywords_x:
word_x = word_x.strip().strip("'").strip('"')
if word_x != '':
dup_function_content = str(dup_function_content.replace("\"", "'")).replace(word_x,
f'{word_x.strip()}')
# 保存每个维度对应的相似度到idc_project_check_detail
mysql.sql_change_msg(
"""insert into idc_project_check_detail (dup_id, dimension, similarity, function_content, dup_function_content, create_time, update_time) value (%d, "%s", %f, "%s", "%s", "%s", "%s")"""
% (dup_id, wdys2.get(x), similarity, escape_string(function_content),
escape_string(dup_function_content), str(datetime.datetime.now())[:-7],
str(datetime.datetime.now())[:-7]))
# content = content.replace(gjcs, f'{gjcs.strip()}')
elif x == 'jsnr':
similarity = cosin_similarity.CosineSimilarity(content_x, content_y)
# 相似度 关键词
similarity, keywords_x, keywords_y = similarity.main()
similarity = similarity * 40
# 相似度相加
total_similarity += similarity
# 去重
keywords_y = list(set(keywords_y))
# 去重
keywords_x = list(set(keywords_x))
print("**************相似度: %.2f%%" % similarity, "关键词: %s" % keywords_y)
# 关键词收集
total_keywords[x] = keywords_y
function_content = content_y
dup_function_content = content_x
for word_y in keywords_y:
word_y = word_y.strip().strip("'").strip('"')
if word_y != '':
function_content = str(function_content.replace("\"", "'")).replace(word_y,
f'{word_y.strip()}')
for word_x in keywords_x:
word_x = word_x.strip().strip("'").strip('"')
if word_x != '':
dup_function_content = str(dup_function_content.replace("\"", "'")).replace(word_x,
f'{word_x.strip()}')
# 保存每个维度对应的相似度到idc_project_check_detail
mysql.sql_change_msg(
"""insert into idc_project_check_detail (dup_id, dimension, similarity, function_content, dup_function_content, create_time, update_time) value (%d, "%s", %f, "%s", "%s", "%s", "%s")"""
% (dup_id, wdys2.get(x), similarity, escape_string(function_content),
escape_string(dup_function_content), str(datetime.datetime.now())[:-7],
str(datetime.datetime.now())[:-7]))
else:
similarity = cosin_similarity.CosineSimilarity(content_x, content_y)
# 相似度 关键词
similarity, keywords_x, keywords_y = similarity.main()
similarity = similarity * (10 / dup_count)
# print("**************相似度: %.2f%%" % similarity, "关键词: %s" % keywords_y)
# 相似度相加
total_similarity += similarity
# 去重
keywords_y = list(set(keywords_y))
# 去重
keywords_x = list(set(keywords_x))
# 关键词收集
total_keywords[x] = keywords_y
function_content = content_y
dup_function_content = content_x
for word_y in keywords_y:
word_y = word_y.strip().strip("'").strip('"')
print(f'word_y = {word_y}')
if word_y != '':
function_content = str(function_content.replace("\"", "'")).replace(word_y, f'{word_y.strip()}')
for word_x in keywords_x:
word_x = word_x.strip().strip("'").strip('"')
if word_x != '':
dup_function_content = str(dup_function_content.replace("\"", "'")).replace(word_x, f'{word_x.strip()}')
# 保存每个维度对应的相似度到idc_project_check_detail
mysql.sql_change_msg(
"""insert into idc_project_check_detail (dup_id, dimension, similarity, function_content, dup_function_content, create_time, update_time) value (%d, "%s", %f, "%s", "%s", "%s", "%s")"""
% (dup_id, wdys2.get(x), similarity, escape_string(function_content),
escape_string(dup_function_content), str(datetime.datetime.now())[:-7],
str(datetime.datetime.now())[:-7]))
mysql.sql_change_msg(
"""update idc_project_check set similarity=%f where dup_id=%d""" % (total_similarity, dup_id))
if __name__ == "__main__":
all_path = requests.get("http://127.0.0.1:19099/check/duplicates/%s" % 599).json()
# print(all_path)
# dict1 = {k:v for k, v in sorted(dict.items(), key= lambda item : item[1])}
# print(dict1)
data_list = []
for ap in all_path.get("data"):
# if os.path.exists(ap.get("file_path")):
data_list.append((ap.get("project_id"), ap.get("file_path"), ap.get("project_name")))
print(data_list)
# data_list = [(11, r"C:\Users\HUAWEI\PycharmProjects\nlp\dup_check\0825-丽水系统查重维度1.xlsx", "水路运输综合监管系统建设项目.xls")]
data_list = [(11, r"D:\ningda\dup_check2\dup_check\0825-丽水系统查重维度1.xlsx", "水路运输综合监管系统建设项目.xls")]
project_check(data_list)