ninchanese-datatables 0.5.1
Integrates SQLAlchemy with DataTables (framework agnostic) - Containing fixes for ninchanese.com
License: MIT
Keywords: sqlalchemy datatables jquery pyramid flask

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datatables |PyPi Version| |TravisCI| |Coverage|
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    :target: https://pypi.python.org/pypi/datatables

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Installation
------------

The package is available on `PyPI <https://pypi.python.org/pypi/datatables>`_ and is tested on Python 2.7 to 3.4

.. code-block:: bash

    pip install datatables

Usage
-----

Using Datatables is simple. Construct a DataTable instance by passing it your request parameters (or another dict-like
object), your model class, a base query and a set of columns. The columns list can contain simple strings which are
column names, or tuples containing (datatable_name, model_name), (datatable_name, model_name, filter_function) or
(datatable_name, filter_function).

Additional data such as hyperlinks can be added via DataTable.add_data, which accepts a callable that is called for
each instance. Check out the usage example below for more info.


Example
-------

**models.py**

.. code-block:: python

    class User(Base):
        __tablename__ = 'users'

        id          = Column(Integer, primary_key=True)
        full_name   = Column(Text)
        created_at  = Column(DateTime, default=datetime.datetime.utcnow)

        # Use lazy=joined to prevent O(N) queries
        address     = relationship("Address", uselist=False, backref="user", lazy="joined")

    class Address(Base):
        __tablename__ = 'addresses'

        id          = Column(Integer, primary_key=True)
        description = Column(Text, unique=True)
        user_id     = Column(Integer, ForeignKey('users.id'))

**views.py**

.. code-block:: python

    @view_config(route_name="data", request_method="GET", renderer="json")
    def users_data(request):
        # User.query = session.query(User)
        table = DataTable(request.GET, User, User.query, [
            "id",
            ("name", "full_name", lambda i: "User: {}".format(i.full_name)),
            ("address", "address.description"),
        ])
        table.add_data(link=lambda o: request.route_url("view_user", id=o.id))
        table.searchable(lambda queryset, user_input: perform_some_search(queryset, user_input))

        return table.json()

**template.jinja2**

.. code-block:: html

    <table class="table" id="clients_list">
        <thead>
            <tr>
                <th>Id</th>
                <th>User name</th>
                <th>Address</th>
            </tr>
        </thead>
        <tbody>
        </tbody>
    </table>

    <script>
        $("#clients_list").dataTable({
            serverSide: true,
            processing: true,
            ajax: "{{ request.route_url("data") }}",
            columns: [
                {
                    data: "id",
                    "render": function(data, type, row){
                        return $("<div>").append($("<a/>").attr("href", row.DT_RowData.link).text(data)).html();
                    }
                },
                { data: "name" },
                { data: "address" }
            ]
    </script>