Home > Backend Development > Python Tutorial > Configuration and use of mongodb for django development

Configuration and use of mongodb for django development

不言
Release: 2018-12-12 10:18:16
forward
7475 people have browsed it

The content of this article is about the configuration and use of mongodb in Django development. It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you.

Today I sorted out how to use mongodb in the django project. The environment is as follows: ubuntu18.04, django2.0.5, drf3.9, mongoengine0.16

The first step: in Configure mongodb and mysql in settings.py. The configuration is as follows (mysql and mongodb can be used at the same time):

DATABASES = {
    'default': {
        'ENGINE': 'django.db.backends.mysql',   # 数据库引擎
        'NAME': 'django_test2',                  # 你要存储数据的库名,事先要创建之
        'USER': 'root',                         # 数据库用户名
        'PASSWORD': 'wyzane',                     # 密码
        'HOST': 'localhost',                    # 主机
        'PORT': '3306',                         # 数据库使用的端口
    },
    'mongotest': {
        'ENGINE': None,
    }
}
import mongoengine
# 连接mongodb中数据库名称为mongotest5的数据库
conn = mongoengine.connect("mongotest")
Copy after login

Step 2: Insert data into mongodb

1. Insert json type data

models.py:
    import mongoengine
    class StudentModel(mongoengine.Document):
        name = mongoengine.StringField(max_length=32)
        age = mongoengine.IntField()
        password = mongoengine.StringField(max_length=32)

views.py:
    from rest_framework.views import APIView
    class FirstMongoView(APIView):
        def post(self, request):
            name = request.data["name"]
            age = request.data["age"]
            password = request.data["password"]
            StudentModel.objects.create(name=name, age=age, password=password)
            return Response(dict(msg="OK", code=10000))
Copy after login

The format of the inserted data is:

{
    "name": "nihao",
    "age": 18,
    "password": "123456"
}
Copy after login

2. Insert the json data containing list

models.py:
    import mongoengine
    class Student2Model(mongoengine.Document):
        name = mongoengine.StringField(max_length=32)
        # 用于存储list类型的数据
        score = mongoengine.ListField()

views.py:
    from rest_framework.views import APIView
    class FirstMongo2View(APIView):
        def post(self, request):
            name = request.data["name"]
            score = request.data["score"]
            Student2Model.objects.create(name=name, score=score)
            return Response(dict(msg="OK", code=10000))
Copy after login

The format of the inserted data is:

{
     "name": "test",
     "score": [12, 13]
}
Copy after login

3. Insert the data containing dict and The complex json data of list

models.py:
    import mongoengine
    class Student3Model(mongoengine.Document):
        name = mongoengine.StringField(max_length=32)
        # DictField用于存储字典类型的数据
        score = mongoengine.DictField()
views.py:
    from rest_framework.views import APIView
    class FirstMongo3View(APIView):
        def post(self, request):
            name = request.data["name"]
            score = request.data["score"]
            Student3Model.objects.create(name=name, score=score)
            return Response(dict(msg="OK", code=10000))
Copy after login

The insertion data format is:

{
    "name": "test",
    "score": {"xiaoming": 12, "xiaoli": 13}
}
或者:
{
    "name": "test",
    "score": {"xiaoming": 12, "xiaoli": {"xiaozhao": 14}}
}
或者:
{
"name": "test",
"score": {"xiaoming": 12, "xiaoli": {"xiaozhao": {"xiaoliu": 12, "xiaojian": 18}}}
}
或者:
{
"name": "test",
"score": {"xiaoming": 12, "xiaoli": {"xiaozhao": {"xiaoliu": 12, "xiaojian": [12,13,14]}}}
}
Copy after login

Step 3: Query the data in mongodb

1. Query and serialize the complex json data

serializers.py:
    class StudentSerializer(serializers.Serializer):
        name = serializers.CharField()
        score = serializers.DictField()  # 序列化复杂的json数据
        # DictField与EmbeddedDocumentField类似,但是比EmbeddedDocumentField更灵活
views.py:
    class FirstMongo4View(APIView):
        def get(self, request):
            student_info = Student3Model.objects.all()
            # 增加过滤条件
            # student_info = Student3Model.objects.filter(name="test1")
            ser = StudentSerializer(instance=student_info, many=True)
            return Response(dict(msg="OK", code="10000", data=ser.data))
Copy after login

2. Serialize two documents with nested relationships in mongodb

models.py:
    class AuthorModel(mongoengine.EmbeddedDocument):
        author_name = mongoengine.StringField(max_length=32)
        age = mongoengine.IntField()


    class BookModel(mongoengine.Document):
        book_name = mongoengine.StringField(max_length=64)
        publish = mongoengine.DateTimeField(default=datetime.datetime.utcnow())
        words = mongoengine.IntField()
        author = mongoengine.EmbeddedDocumentField(AuthorModel)

serializers.py: 序列化时注意与rest_framework的序列化中DictField()的区别
    from rest_framework_mongoengine import serializers as s1
    class AuthorSerializer(s1.DocumentSerializer):  
        # DocumentSerializer继承自drf中的ModelSerializer,用于代替ModelSerializer序列化mongodb中的document.
        # 具体可以到官网上查看
        class Meta:
            model = AuthorModel
            fields = ('author_name', 'age')


    class BookSerializer(s1.DocumentSerializer):
        author = AuthorSerializer()

        class Meta:
            model = BookModel
            fields = ('book_name', 'publish', 'words', 'author')

    AuthorSerializer还可以这样写:
    class AuthorSerializer(s1.EmbeddedDocumentSerializer):
        # EmbeddedDocumentSerializer继承了DocumentSerializer
        class Meta:
            model = AuthorModel
            fields = ('author_name', 'age')

views.py:
    class BookView(APIView):
        def get(self, request):
            """
            查询数据
            :param request:
            :return:
            """
            books = BookModel.objects.all()
            ser = BookSerializer(instance=books, many=True)
            return Response(dict(msg="OK", code="10000", data=ser.data))
Copy after login

When serializing two related tables in mongodb, if the serializer inherits from the Serializer and ModelSerializer in rest_framework , the following exception will be thrown:

Django serialization to JSON error: 'MetaDict' object has no attribute 'concrete_model'
Copy after login

At this time, the serializer needs to inherit from the class of rest_framework_mongoengine. For details, you can check the official website:
http://umutbozkurt.github.io/...

The above is the detailed content of Configuration and use of mongodb for django development. For more information, please follow other related articles on the PHP Chinese website!

Related labels:
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template