#!/usr/bin/python

#

# Copyright (C) 2008 Google Inc.

#

# Licensed under the Apache License, Version 2.0 (the "License");

# you may not use this file except in compliance with the License.

# You may obtain a copy of the License at

#

#      http://www.apache.org/licenses/LICENSE-2.0

#

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS,

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

# See the License for the specific language governing permissions and

# limitations under the License.

"""Example of dynamic use of Google Visualization Python API."""

__author__ = "Misha Seltzer"

import gviz_api

description = {"name": ("string", "Name"),

               "salary": ("number", "Salary"),

               "full_time": ("boolean", "Full Time Employee")}

data = [{"name": "Mike", "salary": (10000, "$10,000"), "full_time": True},

        {"name": "Jim", "salary": (800, "$800"), "full_time": False},

        {"name": "Alice", "salary": (12500, "$12,500"), "full_time": True},

        {"name": "Bob", "salary": (7000, "$7,000"), "full_time": True}]

data_table = gviz_api.DataTable(description)

data_table.LoadData(data)

print "Content-type: text/plain"

print

print data_table.ToJSonResponse(columns_order=("name", "salary", "full_time"),

                                order_by="salary")

# Put the url (http://google-visualization.appspot.com/python/dynamic_example)

# as your Google Visualization data source.