Django operation mongodb

My project has been used mysql, now want to design two tables using mongodb database for storage.

The following steps (see the start MongoDB installed in https://www.cnblogs.com/huanhuaqingfeng/p/11188024.html)

1, 安装 mongoengine

     Pip install mongoengine

     In the django, mongoengine connector is to mongodb database django

2, modify settings.py

      

DATABASES = {

    'default': {
        'ENGINE': 'django.db.backends.mysql',
        'NAME': 'builddatabase',
        'USER': 'root',
        'PASSWORD': 'likeshe',
        'HOST': '127.0.0.1',
        'PORT': '3306',
    },
    'db1': {
        'ENGINE':None,
    }
}

import mongoengine     #导入mongoengine

conn = mongoengine.connect ( "Print_Analysis") ## Print_Analysis, the name of my database mongodb 

3, add a table models.py class in my application in Print_Analysis

import mongoengine 

class log_info (mongoengine.Document) 
    fun_name = mongoengine.StringField (max_length = 100) 
    dir_name = mongoengine.StringField (max_length = 100) 
    log_name = mongoengine.StringField (max_length = 100) 
    path = mongoengine.StringField (max_length = 255) 
    status = mongoengine.StringField (max_length = 16) 
    case_num mongoengine.IntField = () 
    half_case_num mongoengine.IntField = () 
    fail_case_num mongoengine.IntField = () 
    line_num mongoengine.IntField = () 
    case_ids mongoengine.ListField = () 

class case_info (mongoengine. Document) 
    funtion = mongoengine.StringField (max_length = 255) 
    exe_status = mongoengine.StringField (max_length = 16)
    line_start mongoengine.IntField = () 
    line_end mongoengine.IntField = () 
    error_count mongoengine.IntField = () 
    level = mongoengine.IntField () 
    sucess_num mongoengine.IntField = () 
    fail_num mongoengine.IntField = () 
    status_info mongoengine.ListField = () 

4 , Print_Analysis在的view.py中添加测试代码

def anlaysis_result_test():
   var = log_info.objects.create(fun_name="123", dir_name="456", log_name="11.log", path="/usr/local/cc.log", status="sucess",
                          case_num=0, half_case_num=0,fail_case_num=0,line_num=0,case_ids=None)
   print(var)
   return {'status': 'already'}

def index(request):    
      logger.info("request.method=%s" ,request.method)
      #logger.info("request.body=%s" ,request.body)
      logger.info("content_type=%s",request.content_type)
      logger.info(   "user=%s",request.user.username)
      logger.info( "is_authenticated=%d",request.user.is_authenticated())
      logger.info( "request.path=%s",request.path)
      if not request.user.is_authenticated():
         return HttpResponseForbidden()

      if request.method=='POST':
         body = eval(request.body)
         op_type = str(body['op_type'])
         if op_type == 'anlaysis_result_test':
            result=anlaysis_result_test()
            jsonResponse return (the Result) 

5, url routing, Print_Analysis add urls.py and get in settings.py in here do not say. (You can view https://www.cnblogs.com/huanhuaqingfeng/p/11101751.html) 

6, Python test code

def anlaysis_test():    
    data = {}
    data['op_type'] = "anlaysis_result_test"
    response = httprequest.post(url_path + "print_analysis/", json=data)
    print response.text

if __name__ == '__main__':          

anlaysis_test () 

7, viewing database

   After performing the test, check the database 
   ./ mongo into the shell
   

   show dbs display all existing database mongodb

   use Print_Analysis switch to my Print_Analysis database

  Print_Analysis show tables displayed in a table (called set)

  db.log_info.find () to view the collection of data log_info