adding parameters to tweepy api request - python-2.7

How does one set the parameters for a request to twitter via tweepy's api.
#https://api.twitter.com/1.1/statuses/user_timeline.json?exclude_replies=true&include_rts=false
import tweepy
#assume tokens and secrets are declared
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)
status = api.user_timeline('xxxxxxxxx')
What I get back from this is the "tweets and retweets" from the user inside a collection of Status objects, but
I only want the user's "tweets" returned. After reading the docs, it's still unclear to me on how to modify the request url

I've found success just filtering the json object returned from user_timeline.
This will filter out the user's retweets:
for tweetObj in status:
if hasattr(tweetObj, 'retweeted_status'):
continue
else:
print tweetObj #or whatever else you want to do
But to answer your question, you can pass the optional parameter, include_retweets like so:
status = api.user_timeline('xxxxxxxxx', include_retweets=False)
I like the first method better because the RTs still count against your count & maximum length parameters.

Related

Why does this request return an empty string?

I have the following function which makes a get request to a url.
def fetch_data(session = None):
s = session or requests.Session()
url = 'http://www.moldelectrica.md/utils/load4.php'
response = s.get(url)
print response.status_code
data = response.text
return data
I expect to get a string back in the form.
169,26,0,19,36,151,9,647,26,15,0,0,0,0,0,150,7,27,-11,-27,-101,-19,-32,-78,-58,0,962,866,96,0,50.02
But instead I get an empty unicode string. The status code returned is 200.
I've looked at the request headers but nothing in them suggests that any headers will require being set manually. Cookies are used but I think the session object should handle that.
Figured it out. As I said this url provides data for a display so it wouldn't normally be visited directly. Usually it would be requested by the display page and that page would provide a cookie.
So the solution is to make a request to the display url then reuse the session and make another request to the data url.

fetch the retweets for the tweets using python

I have to fetch the retweets for the tweets and create the JSON file with retweets,user id etc using the python script. Kindly help me to sort it our this issues.
Thanks in advance!!
This task require some fields of knowledge, and since you ask in a general way, I reckon you need a script to run immediately, but setting up this process requires sometime
This part to get connect to twitter API
from twython import Twython, TwythonError
APP_KEY = 'YOUR_APP_KEY'
APP_SECRET = 'YOUR_APP_SECRET'
twitter = Twython(APP_KEY, APP_SECRET)
Use Twitter API call from Twython,
you can find a list here https://twython.readthedocs.io/en/latest/api.html, the param is the same as twitter API
response = twitter.get_retweets(id, 100)
Pagnation
each call to API have limit of returns, in example for engine.get_friends_ids was limited to 5000 (https://dev.twitter.com/rest/reference/get/friends/ids), if you want to get more than 5000, you have to use the cursor in the returned result (if cur = 0 in json returned means no more results), following is example of how to handling cursor
#Set a temp to loop
cur = -1
#Stop when no more result
while cur !=0:
response = twitter.get_friends_ids(user_id=user_id, cursor=cur)
#Some code to handle the response
cur = response["next_cursor"]
API key
Key expires after some calls (https://dev.twitter.com/rest/public/rate-limits), so you need to set some code to auto change your key, or wait for some period (key reached limit return error code 429)
Response
The response from API was in JSON format, which was easy to use, you can access data by selecting base on response[key], in example
reponse["ids"] or response["next_cursor"]

Why am I getting this Authentication required error even though I am using my client id and client secret for the Foursquare API?

I getting back into Python and wanted to use the pyfoursquare package to access the Foursquare API. I'm trying to get information about venues using the venues method in the API class. I'm primarily trying to find out whether a venue page is verified with Foursquare or not. When I provide my client id, client secret, and venue id I keep getting back an error that states "Authentication required", which doesn't makes sense because I'm providing that information. Any help would be great. Thank you.
import pyfoursquare as foursquare
client_id = ""
client_secret = ""
callback = ""
auth = foursquare.OAuthHandler(client_id, client_secret, callback)
api = foursquare.API(auth)
result = api.venues("4e011a3e62843b639cfa9449")
print result[0].name
Let me know if you would like to see the error message. Thanks again.
I believe you are skipping the step of grabbing your OAuth2 access token, so you're not technically authenticated.
Have a look at the following instructions, under "How to Use It":
https://github.com/marcelcaraciolo/foursquare
The lines that might be useful to you are:
#First Redirect the user who wish to authenticate to.
#It will be create the authorization url for your app
auth_url = auth.get_authorization_url()
print 'Please authorize: ' + auth_url
#If the user accepts, it will be redirected back
#to your registered REDIRECT_URI.
#It will give you a code as
#https://YOUR_REGISTERED_REDIRECT_URI/?code=CODE
code = raw_input('The code: ').strip()
#Now your server will make a request for
#the access token. You can save this
#for future access for your app for this user
access_token = auth.get_access_token(code)
print 'Your access token is ' + access_token

is there any equivalent code that get buckets from google storage faster

this the code I'm using, is there anyway to make it run faster:
src_uri = boto.storage_uri(bucket, google_storage)
for obj in src_uri.get_bucket():
f.write('%s\n' % (obj.name))
This is an example where it pays to use the underlying Google Cloud Storage API more directly, using the Google API Client Library for Python to consume the RESTful HTTP API. With this approach, it is possible to use request batching to retrieve the names of all objects in a single HTTP request (thereby reducing the extra HTTP request overhead) as well as to use field projection with the objects.get operation (by setting &fields=name) to obtain a partial response so that you aren't sending all the other fields and data over the network (or waiting for retrieval of unnecessary data on the backend).
Code for this would look like:
def get_credentials():
# Your code goes here... checkout the oauth2client documentation:
# http://google-api-python-client.googlecode.com/hg/docs/epy/oauth2client-module.html
# Or look at some of the existing samples for how to do this
def get_cloud_storage_service(credentials):
return discovery.build('storage', 'v1', credentials=credentials)
def get_objects(cloud_storage, bucket_name, autopaginate=False):
result = []
# Actually, it turns out that request batching isn't needed in this
# example, because the objects.list() operation returns not just
# the URL for the object, but also its name, as well. If it had returned
# just the URL, then that would be a case where we'd need such batching.
projection = 'nextPageToken,items(name,selfLink)'
request = cloud_storage.objects().list(bucket=bucket_name, fields=projection)
while request is not None:
response = request.execute()
result.extend(response.items)
if autopaginate:
request = cloud_storage.objects().list_next(request, response)
else:
request = None
return result
def main():
credentials = get_credentials()
cloud_storage = get_cloud_storage_service(credentials)
bucket = # ... your bucket name ...
for obj in get_objects(cloud_storage, bucket, autopaginate=True):
print 'name=%s, selfLink=%s' % (obj.name, obj.selfLink)
You may find the Google Cloud Storage Python Example and other API Client Library Examples helpful in figuring out how to do this. There are also a number of YouTube videos on the Google Developers channel such as Accessing Google APIs: Common code walkthrough that provide walkthroughs.

In python-oauth2 how do you retain oauth_token_secret parameter?

I'm trying to follow this Oauth2 guide for Sign in With Twitter https://github.com/simplegeo/python-oauth2 - Everything is going great until between steps 2 and 3. I handle the the callback fine, but how do I pass along the oauth_token_secret? My confusion is that it seems like it's lost after the redirect back to my handler.
From what I can tell the parameters I get back are oauth_token and oauth_verifier, and yet I need the oauth_token_secret to receive the access token in these steps.
token = oauth.Token(request_token['oauth_token'],
request_token['oauth_token_secret'])
token.set_verifier(oauth_verifier)
client = oauth.Client(consumer, token)
resp, content = client.request(access_token_url, "POST")
access_token = dict(urlparse.parse_qsl(content))
Am I supposed to store it in a cookie to retrieve later?
I was able to do this by storing the oauth_token and oauth_token_secret in a session during step one. These values are stored from the created request token request_token['oauth_token']