Ojota 3.2.1

欢迎使用Ojota的文档！

Ojota是一个ORM和平面文件数据库引擎。

Ojota是免费软件！您可以在https://github.com/MSA-Argentina/ojota

它是如何工作的？

首先，我们将定义数据对象

# The information is stored in a file called Persons.jsonclassPerson(Ojota):required_fields=("name","address","age")cache=Memcache()# The information is stored in a file called Teams.yamlclassTeam(Ojota):pk_field="id"data_source=YAMLSource()required_fields=("id","name","color")def__repr__(self):returnself.name

这样我们就可以查询orm对象了

# Some Example queries# "all" returns all the Person ObjectsPerson.all()# "many will return filtered resultsPerson.many(age=30,sorted="name")Person.many(age__lt=30,sorted="-name")Person.many(sorted="name")# "one" will get only one objectTeam.one(1)# you can just send the primary keyTeam.one(name="River Plate")# You can sub-query over the resultspersons=Person.all()elders=persons.many(age__gt=30)fat_elders=elders.many(weight__gt=50)female_elders=elders.many(gender="F")

就这样，你的信息将以纯文本存储，你将拥有 强大的orm来使用它

支持的数据格式

• JSON
• YAML
• CSV
• JSON through web service
• XLS

2.0的新功能

• QuerySets with recursive filtering
• “Callbacks” support (you can add custom properties with a callback function)
• Hierarchical Objects support

安装

使用简易安装

sudo easy_install ojota

使用pip

sudo pip install ojota

来源

git clone https://github.com/MSA-Argentina/ojota.git
sudo python setup.py install

可选依赖项

• pyyaml - To fecth the data from a file with YAML format
• request - To fetch JSON form web sevice
• flask – To run the example web service.

您可能还想看看Ojota的姊妹项目haviana http://havaiana.rtfd.org