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        "author": "Felipe Lerena, Juan Pedro Fisanoti, Ezequiel Chan, Nicolas Sarubbi, Hernan Lozano, Nicolas Bases, Franco Mariluis, Ezequiel Alvarez",
        "author_email": "flerena@msa.com.ar, fisadev@gmail.com, echan@msa.com.ar, nicosarubi@gmail.com, hernantz@gmail.com, nmbases@gmail.com, fmariluis@gmail.com, welcometothechango@gmail.com",
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        "description": ".. Ojota documentation master file, created by\n   sphinx-quickstart on Wed Jul 25 21:11:58 2012.\n   You can adapt this file completely to your liking, but it should at least\n   contain the root `toctree` directive.\n\nWelcome to Ojota's documentation!\n=================================\n\n.. image:: https://travis-ci.org/MSA-Argentina/ojota.svg?branch=develop\n    :target: https://travis-ci.org/MSA-Argentina/ojota\n\nOjota is a ORM and flat file database engine.\n\nOjota is Free Software! you can check the code at https://github.com/MSA-Argentina/ojota\n\n\nHow does it works?\n==================\n\nFirst we will define the data object\n\n.. code-block:: python\n\n    # The information is stored in a file called Persons.json\n    class Person(Ojota):\n        required_fields = (\"name\", \"address\", \"age\")\n        cache  = Memcache()\n\n    # The information is stored in a file called Teams.yaml\n    class Team(Ojota):\n        pk_field = \"id\"\n        data_source = YAMLSource()\n        required_fields = (\"id\", \"name\", \"color\")\n\n        def __repr__(self):\n            return self.name\n\nJust with that we can query the ORM objects\n\n.. code-block:: python\n\n    # Some Example queries\n    # \"all\" returns all the Person Objects\n    Person.all()\n    # \"many will return filtered results\n    Person.many(age=30, sorted=\"name\")\n    Person.many(age__lt=30, sorted=\"-name\")\n    Person.many(sorted=\"name\")\n\n    # \"one\" will get only one object\n    Team.one(1) # you can just send the primary key\n    Team.one(name=\"River Plate\")\n\n    # You can sub-query over the results\n    persons = Person.all()\n    elders = persons.many(age__gt=30)\n    fat_elders = elders.many(weight__gt=50)\n    female_elders = elders.many(gender=\"F\")\n\nThat's it your information will be stored in plain text and you will have a\npowerfull ORM to play with it\n\nSupported data formats\n=======================\n * JSON\n * YAML\n * CSV\n * JSON through web service\n * XLS\n\nNew Features for 2.0\n=====================\n * QuerySets with recursive filtering\n * \"Callbacks\" support (you can add custom properties with a callback function)\n * Hierarchical Objects support\n\nInstallation\n============\nWith easy_install\n\n.. code-block:: bash\n\n    sudo easy_install ojota\n\nWith pip\n\n.. code-block:: bash\n\n    sudo pip install ojota\n\nFrom source\n\n.. code-block:: bash\n\n    git clone https://github.com/MSA-Argentina/ojota.git\n    sudo python setup.py install\n\nOptional dependencies\n=====================\n * pyyaml - To fecth the data from a file with YAML format\n * request - To fetch JSON form web sevice\n * flask -- To run the example web service.\n\nYou might also want to to take a look at Ojota's sister project called Havaiana http://havaiana.rtfd.org\n\n\n",
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