app/gviz/examples/dynamic_example.py
author Madhusudan C.S <madhusudancs@gmail.com>
Sat, 25 Jul 2009 01:09:46 +0530
changeset 2679 0ede2f3adbc1
parent 2373 05ab9393303d
permissions -rwxr-xr-x
Adds to Melange a tags framework based on taggable-mixin. The taggable-mixin allowed only tag per Datastore model. This is extended framework allows any arbitrary number of tags per Datastore model. Also, now one can define different models for different Tag types which are all inherited from the base Tag model provided by taggable-mixin. The GHOPTask model makes use of 2 tags per model, one for difficulty and the other for task_type, both using the tags framework. Reviewed by: Paweł Sołyga

#!/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.