Viewing file:  __init__.py (6.83 KB) -rw-r--r--
Select action/file-type:
 (+) |  (+) |  (+) | Code (+) | Session (+) |  (+) | SDB (+) |  (+) |  (+) |  (+) |  (+) |  (+) |
#!/usr/bin/python
#
# Original Copyright (C) 2006 Google Inc.
# Refactored in 2009 to work for Google Analytics by Sal Uryasev at Juice 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.
#
# Note that this module will not function without specifically adding
# 'analytics': [ #Google Analytics
# 'https://www.google.com/analytics/feeds/'],
# to CLIENT_LOGIN_SCOPES in the gdata/service.py file
"""Contains extensions to Atom objects used with Google Analytics."""
__author__ = 'api.suryasev (Sal Uryasev)'
import atom
import gdata
GAN_NAMESPACE = 'http://schemas.google.com/analytics/2009'
class TableId(gdata.GDataEntry):
"""tableId element."""
_tag = 'tableId'
_namespace = GAN_NAMESPACE
class Property(gdata.GDataEntry):
_tag = 'property'
_namespace = GAN_NAMESPACE
_children = gdata.GDataEntry._children.copy()
_attributes = gdata.GDataEntry._attributes.copy()
_attributes['name'] = 'name'
_attributes['value'] = 'value'
def __init__(self, name=None, value=None, *args, **kwargs):
self.name = name
self.value = value
super(Property, self).__init__(*args, **kwargs)
def __str__(self):
return self.value
def __repr__(self):
return self.value
class AccountListEntry(gdata.GDataEntry):
"""The Google Documents version of an Atom Entry"""
_tag = 'entry'
_namespace = atom.ATOM_NAMESPACE
_children = gdata.GDataEntry._children.copy()
_attributes = gdata.GDataEntry._attributes.copy()
_children['{%s}tableId' % GAN_NAMESPACE] = ('tableId',
[TableId])
_children['{%s}property' % GAN_NAMESPACE] = ('property',
[Property])
def __init__(self, tableId=None, property=None,
*args, **kwargs):
self.tableId = tableId
self.property = property
super(AccountListEntry, self).__init__(*args, **kwargs)
def AccountListEntryFromString(xml_string):
"""Converts an XML string into an AccountListEntry object.
Args:
xml_string: string The XML describing a Document List feed entry.
Returns:
A AccountListEntry object corresponding to the given XML.
"""
return atom.CreateClassFromXMLString(AccountListEntry, xml_string)
class AccountListFeed(gdata.GDataFeed):
"""A feed containing a list of Google Documents Items"""
_tag = 'feed'
_namespace = atom.ATOM_NAMESPACE
_children = gdata.GDataFeed._children.copy()
_attributes = gdata.GDataFeed._attributes.copy()
_children['{%s}entry' % atom.ATOM_NAMESPACE] = ('entry',
[AccountListEntry])
def AccountListFeedFromString(xml_string):
"""Converts an XML string into an AccountListFeed object.
Args:
xml_string: string The XML describing an AccountList feed.
Returns:
An AccountListFeed object corresponding to the given XML.
All properties are also linked to with a direct reference
from each entry object for convenience. (e.g. entry.AccountName)
"""
feed = atom.CreateClassFromXMLString(AccountListFeed, xml_string)
for entry in feed.entry:
for pro in entry.property:
entry.__dict__[pro.name.replace('ga:','')] = pro
for td in entry.tableId:
td.__dict__['value'] = td.text
return feed
class Dimension(gdata.GDataEntry):
_tag = 'dimension'
_namespace = GAN_NAMESPACE
_children = gdata.GDataEntry._children.copy()
_attributes = gdata.GDataEntry._attributes.copy()
_attributes['name'] = 'name'
_attributes['value'] = 'value'
_attributes['type'] = 'type'
_attributes['confidenceInterval'] = 'confidence_interval'
def __init__(self, name=None, value=None, type=None,
confidence_interval = None, *args, **kwargs):
self.name = name
self.value = value
self.type = type
self.confidence_interval = confidence_interval
super(Dimension, self).__init__(*args, **kwargs)
def __str__(self):
return self.value
def __repr__(self):
return self.value
class Metric(gdata.GDataEntry):
_tag = 'metric'
_namespace = GAN_NAMESPACE
_children = gdata.GDataEntry._children.copy()
_attributes = gdata.GDataEntry._attributes.copy()
_attributes['name'] = 'name'
_attributes['value'] = 'value'
_attributes['type'] = 'type'
_attributes['confidenceInterval'] = 'confidence_interval'
def __init__(self, name=None, value=None, type=None,
confidence_interval = None, *args, **kwargs):
self.name = name
self.value = value
self.type = type
self.confidence_interval = confidence_interval
super(Metric, self).__init__(*args, **kwargs)
def __str__(self):
return self.value
def __repr__(self):
return self.value
class AnalyticsDataEntry(gdata.GDataEntry):
"""The Google Analytics version of an Atom Entry"""
_tag = 'entry'
_namespace = atom.ATOM_NAMESPACE
_children = gdata.GDataEntry._children.copy()
_attributes = gdata.GDataEntry._attributes.copy()
_children['{%s}dimension' % GAN_NAMESPACE] = ('dimension',
[Dimension])
_children['{%s}metric' % GAN_NAMESPACE] = ('metric',
[Metric])
def __init__(self, dimension=None, metric=None, *args, **kwargs):
self.dimension = dimension
self.metric = metric
super(AnalyticsDataEntry, self).__init__(*args, **kwargs)
class AnalyticsDataFeed(gdata.GDataFeed):
"""A feed containing a list of Google Analytics Data Feed"""
_tag = 'feed'
_namespace = atom.ATOM_NAMESPACE
_children = gdata.GDataFeed._children.copy()
_attributes = gdata.GDataFeed._attributes.copy()
_children['{%s}entry' % atom.ATOM_NAMESPACE] = ('entry',
[AnalyticsDataEntry])
"""
Data Feed
"""
def AnalyticsDataFeedFromString(xml_string):
"""Converts an XML string into an AccountListFeed object.
Args:
xml_string: string The XML describing an AccountList feed.
Returns:
An AccountListFeed object corresponding to the given XML.
Each metric and dimension is also referenced directly from
the entry for easier access. (e.g. entry.keyword.value)
"""
feed = atom.CreateClassFromXMLString(AnalyticsDataFeed, xml_string)
if feed.entry:
for entry in feed.entry:
for met in entry.metric:
entry.__dict__[met.name.replace('ga:','')] = met
if entry.dimension is not None:
for dim in entry.dimension:
entry.__dict__[dim.name.replace('ga:','')] = dim
return feed
|