#The googleads Python client library

This client library simplifies accessing Google's SOAP Ads APIs - AdWords, and DoubleClick for Publishers. The library provides easy ways to store your authentication and create SOAP web service clients. It also contains example code to help you get started integrating with our APIs.

##Getting started

1. Download and install the library

   setuptools is a pre-requisite for installing the googleads library

   It is recommended that you install the library and its dependencies from PyPI using pip. This can be accomplished with a single command:

   $ pip install googleads

   As an alternative, you can download the library as a tarball. To start the installation, navigate to the directory that contains your downloaded unzipped client library and run the "setup.py" script as follows:

   $ python setup.py build install

2. Copy the googleads.yaml file to your home directory.

   This will be used to store credentials and other settings that can be loaded to initialize a client.

3. Set up your OAuth2 credentials

   The AdWords and DoubleClick for Publishers APIs use OAuth2 as the authentication mechanism. Follow the appropriate guide below based on your use case.

   If you're accessing an API using your own credentials...

   • Using AdWords
   • Using DFP

   If you're accessing an API on behalf of clients...

   • Developing a web application (AdWords or DFP)

####Where can I find samples?

You can find code examples for the latest versions of AdWords or DFP on the releases page.

Alternatively, you can find AdWords or DFP samples in the examples directory of this repository.

####Where can I find the pydocs?

Our pydocs can be found here.

####Caching authentication information

It is possible to cache your API authentication information. The library includes a sample file showing how to do this named googleads.yaml. Fill in the fields for the API and features you plan to use. The library's LoadFromStorage methods default to looking for a file with this name in your home directory, but you can pass in a path to any file with the correct yaml contents.

# Use the default location - your home directory:
adwords_client = adwords.AdWordsClient.LoadFromStorage()

# Alternatively, pass in the location of the file:
dfp_client = dfp.DfpClient.LoadFromStorage('C:\My\Directory\googleads.yaml')

####How do I change the Client Customer Id at runtime? You can change the Client Customer Id with the following:

adwords_client = AdWordsClient.LoadFromStorage()
adwords_client.SetClientCustomerId('my_client_customer_id')

##Where do I submit bug reports and/or feature requests?

If you have issues directly related to the client library, use the issue tracker.

If you have issues pertaining to a specific product, use the product support forums:

• AdWords
• DoubleClick for Publishers

Make sure to subscribe to our Google Plus page for API change announcements and other news.

##How do I log SOAP interactions? The library uses Python's built in logging framework. If you wish to log your SOAP interactions to stdout, you can do the following:

logging.basicConfig(level=logging.INFO, format=googleads.util.LOGGER_FORMAT)
logging.getLogger('suds.transport').setLevel(logging.DEBUG)

If you wish to log to a file, you'll need to attach a log handler to this source which is configured to write the output to a file.

##How do I disable log filters? By default, this library will apply log filters to the googleads.common, suds.client, and suds.transport loggers in order to omit sensitive data. If you need to see this data in your logs, you can disable the filters with the following:

logging.getLogger('googleads.common').removeFilter(
    googleads.util.GetGoogleAdsCommonFilter())
logging.getLogger('suds.client').removeFilter(
    googleads.util.GetSudsClientFilter())
logging.getLogger('suds.transport').removeFilter(
    googleads.util.GetSudsTransportFilter())

##I'm familiar with suds. Can I use suds features with this library? Yes, you can. The services returned by the client.GetService() functions all have a reference to the underlying suds client stored in the suds_client attribute. You can retrieve the client and use it in familiar ways:

client = AdWordsClient.LoadFromStorage()
campaign_service = client.GetService('CampaignService')
suds_client = campaign_service.suds_client

campaign = suds_client.factory.create('Campaign')
# Set any attributes on the campaign object which you need.
campaign.name = 'My Campaign'
campaign.status = 'PAUSED'

operation = suds_client.factory.create('CampaignOperation')
operation.operator = 'ADD'
operation.operand = campaign

# The service object returned from the client.GetService() call accepts suds
# objects and will set the SOAP and HTTP headers for you.
campaign_service.mutate([operation])

# Alternatively, if you wish to set the headers yourself, you can use the
# suds_client.service directly.
soap_header = suds_client.factory.create('SoapHeader')
soap_header.clientCustomerId = client.client_customer_id
soap_header.developerToken = client.developer_token
soap_header.userAgent = client.user_agent

suds_client.set_options(
    soapheaders=soap_header,
    headers=client.oauth2_client.CreateHttpHeader())

suds_client.service.mutate([operation])

##Timeout Tips The requests sent by this library are sent via urllib, which is consequently where the timeout is set. If you set a system timeout elsewhere, the googleads library will respect it.

You can do the following if you wish to override the timeout:

import socket
socket.setdefaulttimeout(15 * 60)

##External Dependencies:

- oauth2client         -- https://pypi.python.org/pypi/oauth2client/
- suds-jurko           -- https://pypi.python.org/pypi/suds-jurko/
- pysocks              -- https://pypi.python.org/pypi/PySocks/
- pytz                 -- https://pypi.python.org/pypi/pytz
- pyYAML               -- https://pypi.python.org/pypi/pyYAML/
- xmltodict            -- https://pypi.python.org/pypi/xmltodict/
- mock                 -- https://pypi.python.org/pypi/mock
                          (only needed to run unit tests)
- pyfakefs             -- https://pypi.python.org/pypi/pyfakefs
                          (only needed to run unit tests)

##Authors: Mark Saniscalchi