tfse-admin-api-v0.2/TestCenter/tc_impl.py

585 lines
20 KiB
Python
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import json
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import os
import random
import re
import time
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import base64
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import requests
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from werkzeug.security import generate_password_hash
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from Crypto.PublicKey import RSA
from Crypto.Cipher import PKCS1_v1_5 as PKCS1_cipher
from Board.board_db import FIND_DATA, INSERT_DATA
from TestCenter.tc_db import update_user_info_by_cid, find_user_info_by_cid, delete_data, find_data, update_data, \
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delete_pdf, find_admin_data, insert_admin_data
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def search_evaluate_record_scripts(types):
"""
根据评价类型
Parameters:
types str 评价类型
Returns:
result list 评价数据库名称
"""
if types == '综合信用评价':
result = ['评价结果', '报告数据', '综合信用报告', '评价证书', '综合评价填报']
else:
result = ['ESG评价结果', 'ESG报告数据', 'esg报告', 'ESG评价证书', 'ESG评价填报']
return result
def delete_rid_cascade_scripts(rid, record, data):
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"""
级联删除与评价ID有关的评价数据
1.根据rid和评价类型决定删除评价类型综合信用评价ESG评价
2.评价记录选择删除记录删除跟此rid相关的所有数据更改状态可不删除综合评价填报
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Parameters:
rid: 评价ID
record: 评价记录
data: 评价数据
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Returns:
res: True 执行结果
"""
def delete_all_records():
"""
根据rid删除评价数据库相匹配数据
Parameters:
-
Returns:
info str 删除结果
"""
# 删除填报数据
if '综合信用填报' in data:
delete_data('评价', '综合评价填报', {'评价ID': rid})
elif 'ESG评价填报' in data:
delete_data('评价', 'ESG评价填报', {'评价ID': rid})
else:
return '如选删除记录,请勾选综合评价填报'
# 删除与rid相关的所有数据
delete_data('评价', data[0], {'评价ID': rid})
delete_data('评价', data[1], {'评价ID': rid})
report_id = rids[0]['报告fid']
delete_pdf('评价', data[2], report_id)
certificate_id = rids[0]['证书fid']
delete_pdf('评价', data[3], certificate_id)
delete_data('评价', '评价记录', {'评价ID': rid})
return '删除成功'
def delete_part_records():
"""
根据rid删除评价数据库相匹配数据
Parameters:
-
Returns:
info str 删除结果
"""
# 删除相关数据
if '综合信用填报' in data:
delete_data('评价', '综合评价填报', {'评价ID': rid})
elif 'ESG评价填报' in data:
delete_data('评价', 'ESG评价填报', {'评价ID': rid})
# 删除rid相关的所有数据
delete_data('评价', data[0], {'评价ID': rid})
delete_data('评价', data[1], {'评价ID': rid})
report_id = rids[0]['报告fid']
delete_pdf('评价', data[2], report_id)
certificate_id = rids[0]['证书fid']
delete_pdf('评价', data[3], certificate_id)
# 更新此条数据
insert = {'进行状态': '进行', '评价结果': None, '评价时间': None, '报告fid': None, '证书fid': None}
res = update_data('评价', '评价记录', {'评价ID': rid}, insert)
if res:
return '状态更改成功'
else:
return '评价记录数据重置失败'
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# main
rids = find_data('评价', '评价记录', {'评价ID': rid})
if rids:
# 判断状态是否已经完成
if rids[0]['进行状态'] == '完成':
# 判断评价记录为哪种类型
if record == '删除记录':
info = delete_all_records()
else:
info = delete_part_records()
return info
else:
return '不能删除正在进行的评价记录'
else:
return '未查询到此rid相关记录'
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def delete_cid_cascade_scripts(cid, data):
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"""
级联删除uid有关的所有数据
Parameters:
cid: 企业ID
data: 数据库名称集合
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Returns:
res: True 执行结果
"""
for name in data:
delete_data('企业', name, {'企业ID': cid})
return '企业数据删除成功'
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def generate_rid_information_script(rid, types):
"""
根据rid生成企业主页信息
Parameters:
rid str 评价ID
types str 评价类型
Returns:
result str 生成结果
"""
def rating_script():
"""
根据rid执行综合信用评价流程
Parameters:
rid str 评价ID
Returns:
result type 返回数据
"""
record = find_data('评价', '评价记录', {'评价ID': rid, '进行状态': '进行'})
if not record:
return "没有正在进行的评价"
inputs = find_data('评价', '综合评价填报', {'评价ID': rid})
if not inputs:
return '未查询到此rid相关填报数据'
risks = find_data('评价', '风险数据', {'评价ID': rid})
if not risks:
return '未查询到此rid相关风险数据'
risk = {"风险数据": risks[0]}
risk["风险数据"].pop('企业ID')
risk["风险数据"].pop('评价ID')
rating_inputs = {**inputs[0], **risk}
# 打分模型
def general_model():
url = "http://api.fecribd.com/tfse_rating/rating/general_model"
token = "X0gSlC!YE8jmr2jJr&ilcjS83j!tsoh5"
headers = {'token': token, "Content-Type": "application/json;charset=UTF-8"}
data = json.dumps({"input_data": rating_inputs})
res = requests.post(url, headers=headers, data=data)
if res.status_code == 200:
insert_data = {
"评价结果": json.loads(res.text)['result'],
"评价时间": time.strftime("%Y-%m-%d", time.localtime())
}
update_data('评价', '评价记录', {"评价ID": rid}, insert_data)
return True
else:
return False
# 生成报告
def gen_report():
url = "http://api.fecribd.com/tfse_rating/report/gen_general_rating_report"
token = "X0gSlC!YE8jmr2jJr&ilcjS83j!tsoh5"
headers = {'token': token, "Content-Type": "application/json;charset=UTF-8"}
data = {
"company": rating_inputs['企业名称'],
"cid": rating_inputs['企业ID'],
"rid": rating_inputs['评价ID']
}
res = requests.post(url, headers=headers, data=json.dumps(data))
if res.status_code == 200:
insert_data = {
"报告fid": json.loads(res.text)['result']['FileID']
}
update_data('评价', '评价记录', {"评价ID": rid}, insert_data)
return True
else:
return False
# 生成证书
def gen_certified():
url = "http://api.fecribd.com/tfse_rating/certificate/generate_certificate"
token = "X0gSlC!YE8jmr2jJr&ilcjS83j!tsoh5"
headers = {'token': token, "Content-Type": "application/json;charset=UTF-8"}
data = {
"company": rating_inputs['企业名称'],
"cid": rating_inputs['企业ID'],
"rid": rating_inputs['评价ID']
}
res = requests.post(url, headers=headers, data=json.dumps(data))
if res.status_code == 200:
insert_data = {
"证书fid": json.loads(res.text)['result']['FileID']
}
update_data('评价', '评价记录', {"评价ID": rid}, insert_data)
return True
else:
return False
# 生成企业主页数据
def company_index():
url = "http://api.fecribd.com/etl_tfse/company/company_index_etl"
token = "dmfd7FshT!5Wng9^gcCcQV7T6FBnVgl4"
headers = {'token': token, "Content-Type": "application/json;charset=UTF-8"}
data = {
"rid": rating_inputs['评价ID']
}
res = requests.post(url, headers=headers, data=json.dumps(data))
if res.status_code == 200:
return True
else:
return False
if not general_model():
return False, "打分失败"
if not gen_report():
return False, "生成报告失败"
if not gen_certified():
return False, "生成证书失败"
if not company_index():
return False, "准备主页数据失败"
update_data('评价', '评价记录', {'评价ID': rid}, {'进行状态': '完成'})
return '执行完成'
def esg_rating_script():
"""
根据rid执行esg评价流程
Parameters:
rid str 评价ID
Returns:
result type 返回数据
"""
record = find_data('评价', '评价记录', {'评价ID': rid, '进行状态': '进行'})
if not record:
return "没有正在进行的评价"
inputs = find_data('评价', 'ESG评价填报', {'评价ID': rid})
if not inputs:
return '未查询到此rid相关填报数据'
risks = find_data('评价', 'ESG风险数据', {'评价ID': rid})
if not risks:
return '未查询到此rid相关风险数据'
risk = {"风险数据": risks[0]}
risk["风险数据"].pop('企业ID')
risk["风险数据"].pop('评价ID')
risk["风险数据"].pop('更新日期')
rating_inputs = {**inputs[0], **risk}
# 打分模型
def general_model():
url = "http://api.fecribd.com/tfse_rating/esg/esg_model"
token = "X0gSlC!YE8jmr2jJr&ilcjS83j!tsoh5"
headers = {'token': token, "Content-Type": "application/json;charset=UTF-8"}
data = json.dumps({"input_data": rating_inputs})
res = requests.post(url, headers=headers, data=data)
if res.status_code == 200:
insert_data = {
"评价结果": json.loads(res.text)['result'],
"评价时间": time.strftime("%Y-%m-%d", time.localtime())
}
update_data('评价', '评价记录', {"评价ID": rid}, insert_data)
return True
else:
return False
# 生成报告
def gen_report():
url = "http://api.fecribd.com/tfse_rating/report/generate_esg_report"
token = "X0gSlC!YE8jmr2jJr&ilcjS83j!tsoh5"
headers = {'token': token, "Content-Type": "application/json;charset=UTF-8"}
data = {
"company": rating_inputs['企业名称'],
"cid": rating_inputs['企业ID'],
"rid": rating_inputs['评价ID']
}
res = requests.post(url, headers=headers, data=json.dumps(data))
if res.status_code == 200:
insert_data = {
"报告fid": json.loads(res.text)['result']['FileID']
}
update_data('评价', '评价记录', {"评价ID": rid}, insert_data)
return True
else:
return False
# 生成证书
def gen_certified():
url = "http://api.fecribd.com/tfse_rating/certificate/generate_certificate"
token = "X0gSlC!YE8jmr2jJr&ilcjS83j!tsoh5"
headers = {'token': token, "Content-Type": "application/json;charset=UTF-8"}
data = {
"company": rating_inputs['企业名称'],
"cid": rating_inputs['企业ID'],
"rid": rating_inputs['评价ID'],
"type": 'esg'
}
res = requests.post(url, headers=headers, data=json.dumps(data))
if res.status_code == 200:
insert_data = {
"证书fid": json.loads(res.text)['result']['FileID']
}
update_data('评价', '评价记录', {"评价ID": rid}, insert_data)
return True
else:
return False
# 生成企业主页数据
def company_index():
url = "http://api.fecribd.com/etl_tfse/company/esg_index_etl"
token = "dmfd7FshT!5Wng9^gcCcQV7T6FBnVgl4"
headers = {'token': token, "Content-Type": "application/json;charset=UTF-8"}
data = {
"rid": rating_inputs['评价ID']
}
res = requests.post(url, headers=headers, data=json.dumps(data))
if res.status_code == 200:
return True
else:
return False
if not general_model():
return "打分失败"
if not gen_report():
return "生成报告失败"
if not gen_certified():
return "生成证书失败"
if not company_index():
return "准备主页数据失败"
update_data('评价', '评价记录', {'评价ID': rid}, {'进行状态': '完成'})
return '执行完成'
if types == '综合信用评价':
info = rating_script()
else:
info = esg_rating_script()
return info
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def company_verify_script(company, code, legal_person, cid):
"""
输入企业名称统一社会信用代码法人姓名进行企业认证
Parameters:
company: 企业名称
code: 统一社会信用代码
legal_person: 法人姓名
cid: 企业ID
Returns:
result: 认证结果
"""
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def check_verified():
# 是否认证
r = find_user_info_by_cid(cid)
if len(r) < 0:
return '未查到该用户信息'
else:
auth = r[0]['已认证']
if auth == '':
return '该用户已认证'
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# 认证信息有缺失
if None in [company, code, legal_person]:
return '认证信息不完整'
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def tyc_api():
"""
# 调用天眼查企业三要素验证接口
Parameters:
-
Returns:
result: 查询结果
"""
token = "5407573b-e41e-4ab4-9f46-daa0032ad0a4"
base = "http://open.api.tianyancha.com/services/open/ic/verify/2.0?code={}&name={}&legalPersonName={}"
url = base.format(code, company, legal_person)
headers = {'Authorization': token}
res = json.loads(requests.get(url, headers=headers).text)
return res
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def main_process():
check_result = check_verified()
if check_result:
return check_result
try:
result = tyc_api()
if result['result']['result'] == 1:
# 初始化企业数据
init_url = "http://api.fecribd.com/etl_tfse/company/init_company_data"
init_token = "dmfd7FshT!5Wng9^gcCcQV7T6FBnVgl4"
init_headers = {'token': init_token}
data = json.dumps({"cid": cid, "company_name": company})
requests.post(init_url, headers=init_headers, data=data)
# 更新用户认证状态
update_user_info_by_cid(cid, {"企业名称": company, "已认证": ""})
return '认证成功'
else:
return '认证失败'
except Exception:
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return '认证失败'
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return main_process()
def change_verified_script(cid):
"""
将企业认证状态改为否
Parameters:
cid: 企业ID
Returns:
res: True 执行结果
"""
# 更新用户认证状态
insert_dict = dict()
insert_dict['企业名称'] = None
insert_dict['统一社会信用代码'] = None
insert_dict['法人姓名'] = None
insert_dict['法人身份证'] = None
insert_dict['营业执照fid'] = None
insert_dict['身份证fid'] = None
info = update_user_info_by_cid(cid, {"企业名称": None, "已认证": "", "认证信息": insert_dict})
return info
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def new_test_company_impl(email, company, code, legal_person):
"""
新增一家测试企业
"""
def check_mail_fmt():
"""
邮箱地址格式校验
Parameters:
-
Returns:
result: 邮箱校验结果正确返回True不正确返回False
"""
regex = "^.+\\@(\\[?)[a-zA-Z0-9\\-\\.]+\\.([a-zA-Z]{2,3}|[0-9]{1,3})(\\]?)$"
case = (len(email) > 7) and (re.match(regex, email) is not None)
result = True if case else False
return result
def check_registered():
"""
检查邮箱是否被注册
Parameters:
email: 邮箱
Returns:
邮箱未被注册 False
邮箱已被注册 True
"""
return False if FIND_DATA("TFSE", "用户", "验证记录", {"邮箱": email}) == [] else True
def gen_new_cid():
"""
生成新的企业ID如果该ID存在则重新生成
Parameters:
-
Returns:
new_id: 生成的企业ID
"""
def make_id(num):
"""
随机生成字符串
"""
choices = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789'
salt = ''
for i in range(num):
salt += random.choice(choices)
return salt
# 生成新ID
new_id = make_id(8)
# 检查新ID是否存在如果存在则继续生成新ID
case = FIND_DATA("TFSE", "用户", "用户信息", {"企业ID": new_id}) is []
while case:
new_id = make_id(8)
# 新ID可使用返回新ID
return new_id
cid = gen_new_cid()
def decrypt_data(**kwargs):
"""
用私钥解密
Parameters:
encrypt_msg str 加密信息
Returns:
执行正确 解密后结果
执行错误 False
"""
try:
encrypt_msg = kwargs['encrypt_msg'] # 加密信息
with open(os.path.abspath(os.path.dirname(__file__) + '/static/rsa_private_key.pem')) as f:
data = f.read()
private_key = RSA.importKey(data)
cipher = PKCS1_cipher.new(private_key)
back_text = cipher.decrypt(base64.b64decode(encrypt_msg), 0)
return back_text.decode('utf-8')
except Exception:
return False
def create_user_by_template():
file_rel_path = "/static/user.json"
with open(os.path.abspath(os.path.dirname(__file__)+file_rel_path), "r", encoding='utf-8') as f:
user = json.load(f)
user['企业ID'] = cid
user['邮箱'] = email
user['头像fid'] = "61a15b33e55c00003e0048e4"
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user['密码'] = generate_password_hash("Fecr1988.")
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user['注册时间'] = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
user['已认证'] = ''
# 插入新用户数据
INSERT_DATA("TFSE", "用户", "用户信息", user)
return True
def new_company_main_process():
# 校验邮箱格式
if not check_mail_fmt():
return "邮箱格式错误"
# 检验邮箱是否被注册
if check_registered():
return "邮箱已被注册"
# 通过以上校验,生成新用户信息,插入新用户数据
res = create_user_by_template()
if res is not True:
return '新增企业失败'
return company_verify_script(company, code, legal_person, cid)
return new_company_main_process()
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def get_company_process_script(rid, cid):
"""
查询企业测评流程
Parameters:
rid str 评价ID
cid str 企业ID
Returns:
result dict 流程数据
"""
data = find_admin_data("看板", "评价流程", {"评价ID": rid, "企业ID": cid})
return data