Ojota 3.3.0

Flat File Database with ORM

Welcome to Ojota’s documentation!

Ojota is a ORM and flat file database engine.

Ojota is Free Software! you can check the code at https://github.com/MSA-Argentina/ojota

How does it works?

First we will define the data object

# The information is stored in a file called Persons.json
class Person(Ojota):
    required_fields = ("name", "address", "age")
    cache  = Memcache()

# The information is stored in a file called Teams.yaml
class Team(Ojota):
    pk_field = "id"
    data_source = YAMLSource()
    required_fields = ("id", "name", "color")

    def __repr__(self):
        return self.name

Just with that we can query the ORM objects

# Some Example queries
# "all" returns all the Person Objects
Person.all()
# "many will return filtered results
Person.many(age=30, sorted="name")
Person.many(age__lt=30, sorted="-name")
Person.many(sorted="name")

# "one" will get only one object
Team.one(1) # you can just send the primary key
Team.one(name="River Plate")

# You can sub-query over the results
persons = Person.all()
elders = persons.many(age__gt=30)
fat_elders = elders.many(weight__gt=50)
female_elders = elders.many(gender="F")

That’s it your information will be stored in plain text and you will have a powerfull ORM to play with it

Supported data formats

• JSON

• DSON

• YAML

• CSV

• JSON through web service

• XLS

New Features for 2.0

• QuerySets with recursive filtering

• “Callbacks” support (you can add custom properties with a callback function)

• Hierarchical Objects support

Installation

With easy_install

sudo easy_install ojota

With pip

sudo pip install ojota

From source

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

Optional dependencies

• pyyaml - To fecth the data from a file with YAML format

• dogeon - To fecth the data from a file with DSON format

• request - To fetch JSON form web sevice

• flask – To run the example web service.

You might also want to to take a look at Ojota’s sister project called Havaiana http://havaiana.rtfd.org