Wednesday, June 28, 2017

The Google API Client Library python module.

This python module named Google API Client Library for Python is a client library for accessing the Plus, Moderator, and many other Google APIs, according to the official link.
C:\Python27\Scripts>pip install --upgrade google-api-python-client
Collecting google-api-python-client
  Downloading google_api_python_client-1.6.2-py2.py3-none-any.whl (52kB)
    100% |################################| 61kB 426kB/s
Successfully installed google-api-python-client-1.6.2 ...
The example I used is this:
from oauth2client.client import flow_from_clientsecrets
import httplib2
import apiclient
from apiclient.discovery import build
from oauth2client.file import Storage
import webbrowser

def get_credentials():
    scope = ''
    flow = flow_from_clientsecrets(
        'client_id.json', scope,
    storage = Storage('credentials.dat')
    credentials = storage.get()

    if  not credentials or credentials.invalid:
        auth_uri = flow.step1_get_authorize_url()
        auth_code = raw_input('Enter the auth code: ')
        credentials = flow.step2_exchange(auth_code)
    return credentials

def get_service():
    """Returns an authorised blogger api service."""
    credentials = get_credentials()
    http = httplib2.Http()
    http = credentials.authorize(http)
    service ='blogger', 'v3', http=http)
    return service

if __name__ == '__main__':
    served = get_service()
    print dir(served.blogs)
    users = served.users()

    # Retrieve this user's profile information
    thisuser = users.get(userId='self').execute()
    print('This user\'s display name is: %s' % thisuser['displayName'].encode('utf-8'))

    blogs = served.blogs()

    # Retrieve the list of Blogs this user has write privileges on
    thisusersblogs = blogs.listByUser(userId='self').execute()
    for blog in thisusersblogs['items']:
        print('The blog named \'%s\' is at: %s' % (blog['name'], blog['url']))
The result of this script is this:
['__call__', '__class__', '__cmp__', '__delattr__', '__doc__', '__format__', '__func__', 
'__get__', '__getattribute__', '__hash__', '__init__', '__is_resource__', '__new__', 
'__reduce__', '__reduce_ex__', '__repr__', '__self__', '__setattr__', '__sizeof__', 
'__str__', '__subclasshook__', 'im_class', 'im_func', 'im_self']
This user's display name is: Cătălin George Feștilă
The blog named 'python-catalin' is at:
The blog named 'graphics' is at:
The blog named 'About me and my life ...' is at:
The blog named 'pygame-catalin' is at:
About google settings then you need to have a google account to use Google’s API.
The first step for accessing the Google Developer’s Console.
Then navigate to the Developer Console’s projects page and create a new project for our application by clicking the Create project button and then enable blogger API.
Enter your projects name and hit create.
Click the Go to Credentials button with this settings like in the next image:

Download this credential information in JSON format in this case is the client_id.json file.
When you run for the first time this script you will see a open html page with your auth code.
The script example named will come with this message:
C:\Python27\lib\site-packages\oauth2client\ UserWarning: Cannot access credentials.dat: No such file or directory
Enter the auth code:
Put this auth code and allow the script using the open page and your google account using Allow button.
Now you can run the example.

The pyquery python module.

This tutorial is about pyquery python module and python 2.7.13 version.
First I used pip command to install it.
C:\Python27>cd Scripts

C:\Python27\Scripts>pip install pyquery
Collecting pyquery
  Downloading pyquery-1.2.17-py2.py3-none-any.whl
Requirement already satisfied: lxml>=2.1 in c:\python27\lib\site-packages (from pyquery)
Requirement already satisfied: cssselect>0.7.9 in c:\python27\lib\site-packages (from pyquery)
Installing collected packages: pyquery
Successfully installed pyquery-1.2.17
I try to install with pip and python 3.4 version but I got errors.
The development team told us about this python module:
pyquery allows you to make jquery queries on xml documents. The API is as much as possible the similar to jquery. pyquery uses lxml for fast xml and html manipulation.
Let's try a simple example with this python module.
The base of this example is find links by html tag.
from pyquery import PyQuery
seeds = [
crawl_frontiers = []
def start_crawler():
    crawl_frontiers = crawler_seeds()
def crawler_seeds():
    frontiers = []
    for index, seed in enumerate(seeds):
        frontier = {index: read_links(seed)}
    return frontiers
def read_links(seed):
    crawler = PyQuery(seed)
    return [crawler(tag_a).attr("href") for tag_a in crawler("a")]
The read_links function take links from seeds array.
To do that, I need to read the links and put in into another array crawl_frontiers.
The frontiers array is used just for crawler process.
Also this simple example allow you to understand better the arrays.
You can read more about this python module here .