I use this function (https://developers.google.com/youtube/v3/docs/activities/list) to retrieve list of user activities.
I use my channelId and I don't see subscriptions for period before autumn of 2021. Can anyone explain me why? May be you write me when this type of activity (subscription) was added in the type of request, named Activities: list?
Thanks!
See below example code:
import os
import google_auth_oauthlib.flow
import googleapiclient.discovery
import googleapiclient.errors
scopes = ["https://www.googleapis.com/auth/youtube.readonly"]
def main():
# Disable OAuthlib's HTTPS verification when running locally.
# *DO NOT* leave this option enabled in production.
os.environ["OAUTHLIB_INSECURE_TRANSPORT"] = "1"
api_service_name = "youtube"
api_version = "v3"
client_secrets_file = "YOUR_CLIENT_SECRET_FILE.json"
# Get credentials and create an API client
flow = google_auth_oauthlib.flow.InstalledAppFlow.from_client_secrets_file(
client_secrets_file, scopes)
credentials = flow.run_console()
youtube = googleapiclient.discovery.build(
api_service_name, api_version, credentials=credentials)
request = youtube.activities().list(
part="snippet,contentDetails",
channelId="yourChannelId", #Note: paste your own channelId
maxResults=300
)
response = request.execute()
print(response)
if __name__ == "__main__":
main()
You can do an example of request in the right side:
https://developers.google.com/youtube/v3/docs/activities/list
Related
I was wondering if there is a possible way to get messages from the telegram channel knowing that I logged in to this account and I am the admin of this channel so I just want the get messages.
import feedparser
from telegram import Update, ForceReply, InlineKeyboardButton, InlineKeyboardMarkup
from telegram.ext import Updater, CommandHandler, MessageHandler, Filters, CallbackContext, CallbackQueryHandler
from bs4 import BeautifulSoup
from datetime import datetime
import json
import telegram
from time import sleep
from telegram.ext import MessageHandler, Filters
class Config:
def __init__(self):
with open("config.json", "r") as config:
self.config = json.load(config)
class TelegramBotChannel:
def __init__(self, token, start_channel_id):
self.updater = Updater(token=token, use_context=True)
self.dispatcher = self.updater.dispatcher
self.start_channel_id = start_channel_id
if __name__ == '__main__':
telegram_bot = TelegramBotChannel(Config().config["token"], Config().config["start"])
pass
This is the minimal code to fetch the messages from a channel using a telegram bot which is the subscriber (only admin subscription possible) of the channel. Provide the correct bot api as KEY.:
from api_keys import bot_api_key as KEY
from telegram.ext import Updater, Filters, MessageHandler
updater = Updater(token=KEY, use_context=True)
dispatcher = updater.dispatcher
def forwarder(update, context):
msg = update.channel_post
if msg:
print(msg)
forwardHandler = MessageHandler(Filters.text & (~Filters.command), forwarder)
dispatcher.add_handler(forwardHandler)
updater.start_polling()
updater.idle()
Bots can only get updates about channel posts if they are a member in that channel (and bots can only be added to channels as admin). If they are admins in the channel, they will receive updates just like from every other chat.
Requirements :
Your bot should be in the channel. obviously as an admin
so first just make a function :
def forwader(update , context):
context.bot.copy_message("#temporary2for" ,"#tempmain" , update.channel_post.message_id)
After that make handler :
forwadHandler= MessageHandler(Filters.text & (~Filters.command) , forwader)
Than register your handler :
dispatcher.add_handler(forwadHandler)
Than don't forget to start Bot polling :
updater.start_polling()
updater.idle()
Full code :
from telegram import bot
from telegram.ext import Updater , CommandHandler , Filters , MessageHandler
from config import useless
import logging
updater = Updater(token=useless, use_context=True)
dispatcher = updater.dispatcher
import logging
logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
level=logging.INFO)
def forwader(update , context):
context.bot.copy_message("#temporary2for" ,"#tempmain" , update.channel_post.message_id)
forwadHandler= MessageHandler(Filters.text & (~Filters.command) , forwader)
dispatcher.add_handler(forwadHandler)
updater.start_polling()
updater.idle()
Some Import are useless .
I am fetching google photos from my account using Google Photo API. Now there is a need for me to execute that php file via terminal, but the problem is that I can't authenticate with Google API in doing so. Is there a way to do this, and if yes, then how shall it be done?
Yes, it is possible, you need an interactive login for the first authentication but then you can save the token and refresh it automatically as required.
I have implemented this class in Python to do just that.
from requests.adapters import HTTPAdapter
from requests_oauthlib import OAuth2Session
from pathlib import Path
from urllib3.util.retry import Retry
from typing import List, Optional
from json import load, dump, JSONDecodeError
import logging
log = logging.getLogger(__name__)
# OAuth endpoints given in the Google API documentation
authorization_base_url = "https://accounts.google.com/o/oauth2/v2/auth"
token_uri = "https://www.googleapis.com/oauth2/v4/token"
class Authorize:
def __init__(
self, scope: List[str], token_file: Path,
secrets_file: Path, max_retries: int = 5
):
""" A very simple class to handle Google API authorization flow
for the requests library. Includes saving the token and automatic
token refresh.
Args:
scope: list of the scopes for which permission will be granted
token_file: full path of a file in which the user token will be
placed. After first use the previous token will also be read in from
this file
secrets_file: full path of the client secrets file obtained from
Google Api Console
"""
self.max_retries = max_retries
self.scope: List[str] = scope
self.token_file: Path = token_file
self.session = None
self.token = None
try:
with secrets_file.open('r') as stream:
all_json = load(stream)
secrets = all_json['installed']
self.client_id = secrets['client_id']
self.client_secret = secrets['client_secret']
self.redirect_uri = secrets['redirect_uris'][0]
self.token_uri = secrets['token_uri']
self.extra = {
'client_id': self.client_id,
'client_secret': self.client_secret}
except (JSONDecodeError, IOError):
print('missing or bad secrets file: {}'.format(secrets_file))
exit(1)
def load_token(self) -> Optional[str]:
try:
with self.token_file.open('r') as stream:
token = load(stream)
except (JSONDecodeError, IOError):
return None
return token
def save_token(self, token: str):
with self.token_file.open('w') as stream:
dump(token, stream)
self.token_file.chmod(0o600)
def authorize(self):
""" Initiates OAuth2 authentication and authorization flow
"""
token = self.load_token()
if token:
self.session = OAuth2Session(self.client_id, token=token,
auto_refresh_url=self.token_uri,
auto_refresh_kwargs=self.extra,
token_updater=self.save_token)
else:
self.session = OAuth2Session(self.client_id, scope=self.scope,
redirect_uri=self.redirect_uri,
auto_refresh_url=self.token_uri,
auto_refresh_kwargs=self.extra,
token_updater=self.save_token)
# Redirect user to Google for authorization
authorization_url, _ = self.session.authorization_url(
authorization_base_url,
access_type="offline",
prompt="select_account")
print('Please go here and authorize,', authorization_url)
# Get the authorization verifier code from the callback url
response_code = input('Paste the response token here:')
# Fetch the access token
self.token = self.session.fetch_token(
self.token_uri, client_secret=self.client_secret,
code=response_code)
self.save_token(self.token)
# note we want retries on POST as well, need to review this once we
# start to do methods that write to Google Photos
retries = Retry(total=self.max_retries,
backoff_factor=0.1,
status_forcelist=[500, 502, 503, 504],
method_whitelist=frozenset(['GET', 'POST']),
raise_on_status=False)
self.session.mount('https://', HTTPAdapter(max_retries=retries))
i would like to know can you transfert some currencies from Kraken to Poloniex using API functions ?
Didn't see anything talking about that.
Thank a lot
*
create new API key with "Withdraw funds" right on kraken
Go to account settings then click on "api" to go to settings api page, then click on "generate new key"
Fill all field and tick the box "Withdraw Funds", then validate.
add the poloniex deposit address in kraken (assuming deposit address already created)
Go to funding deposit page
then click on "withdraw" to go to funding withdraw page
Select the currency on the left side
(here we assume that you want withdraw BTC)
so you have to click on "Bitcoin (XBT)" on the left panel
Then click on "add address" then
fill both "Description" & "Bitcoin address" field.
Write down "Description" field because it will be required later when you will send API request to withdraw from Kraken to Poloniex.
Create the API request which will be sent to Kraken
Use the following code (re-use this example python library):
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
import time
import requests
import urllib
import urllib2
import json
import hashlib
import httplib
import hmac
import random
import string
import base64
def _query( urlpath, req = {}, conn = None, headers = {}):
"""Low-level query handling.
Arguments:
urlpath -- API URL path sans host (string, no default)
req -- additional API request parameters (default: {})
conn -- kraken.Connection object (default: None)
headers -- HTTPS headers (default: {})
"""
uri = 'https://api.kraken.com'
url = uri + urlpath
if conn is None:
conn = Connection()
ret = conn._request(url, req, headers)
return json.loads(ret)
def query_private( method, req={}, conn = None):
#secret data
key = "123456789_my_api_key"
secret = "123456798_my_api_secret"
apiversion='0'
uri='https://api.kraken.com'
urlpath = '/' + apiversion + '/private/' + method
req['nonce'] = int(1000*time.time())
postdata = urllib.urlencode(req)
message = urlpath + hashlib.sha256(str(req['nonce']) +
postdata).digest()
signature = hmac.new(base64.b64decode(secret),
message, hashlib.sha512)
headers = {
'API-Key': key,
'API-Sign': base64.b64encode(signature.digest())
}
return _query(urlpath, req, conn, headers)
withdraw_params={
'asset': 'xbt',
'key': "Withdrawal address Description",
'amount': 0.25,
}
res=query_private('Withdraw', withdraw_params)
You'll need the withdrawFunds method from the Kraken API (https://www.kraken.com/help/api#withdraw-funds).
Using the Poloniex API, you'll need to get your deposit address using returnDepositAddresses. If you don't have a deposit address for the given cryptocurrency, use generateNewAddress.
Kraken API Documentation: https://www.kraken.com/help/api
Poloniex API Documentation: https://poloniex.com/support/api/
If someone could point me in the right direction I would be very grateful. I am trying to use the requests module to interact with Reddit's APIs, but for some reason I am getting HTTP status 403 codes. I am able to successfully log in I believe (since I get HTTP 200), but I cannot perform a successful API request. I am very new to this so please use small words. Thanks.
import requests
import json
from pprint import pprint
# URLs
url_base = r'https://www.reddit.com'
url_login = '/api/login'
url_me = '/api/v1/me'
# Credentials
user = '__kitten_mittens__'
passwd = 'password'
params = {'user': user,
'passwd': passwd,
'api_type': 'json',}
headers = {'user-agent': '/u/__kitten_mittens__ practice api bot'}
# Set up the session/headers
client = requests.session()
client.headers = headers
response = client.post(url_base + url_login, data = params)
j = json.loads(response.content.decode('utf-8'))
mh = j['json']['data']['modhash']
print("The modhash for {USER} is {mh}".format(USER=user, mh=mh))
# THIS CODE GIVES HTTP STATUS CODE 403
response = client.get(url_base + url_me)
me_json = json.loads(r.content.decode('utf-8'))
pprint(me_json)
EDIT: I fixed the missing single quote from the password field. That was not part of the problem.
For the "normal" oauth2 dance, I get to specify the user and get a corresponding token.
This allows me to make API calls masquerading as that user, i.e. on his behalf.
It can also allow the user to make calls masquerading as me.
A use case is bigquery where I don't have to grant table access to the user and I can specify my own preferred level of control.
Using the simplified OAuth2Decorator, I don't seem to have this option.
Am I right to say that?
Or is there a work-around?
In general, what is the best practice? To use the proper oauth (comprising of Flow, Credentials and Storage)? Or to use OAuth2Decorator.
Thank you very much.
You can certainly use an OAuth2Decorator
Here is an example:
main.py
import bqclient
import httplib2
import os
from django.utils import simplejson as json
from google.appengine.api import memcache
from google.appengine.ext import webapp
from google.appengine.ext.webapp.util import run_wsgi_app
from oauth2client.appengine import oauth2decorator_from_clientsecrets
PROJECT_ID = "xxxxxxxxxxx"
DATASET = "your_dataset"
QUERY = "select columns from dataset.table"
CLIENT_SECRETS = os.path.join(os.path.dirname(__file__),'client_secrets.json')
http = httplib2.Http(memcache)
decorator = oauth2decorator_from_clientsecrets(CLIENT_SECRETS,
'https://www.googleapis.com/auth/bigquery')
bq = bqclient.BigQueryClient(http, decorator)
class MainHandler(webapp.RequestHandler):
#decorator.oauth_required
def get(self):
data = {'data': json.dumps(bq.Query(QUERY, PROJECT_ID))}
template = os.path.join(os.path.dirname(__file__), 'index.html')
self.response.out.write(render(template, data))
application = webapp.WSGIApplication([('/', MainHandler),], debug=True)
def main():
run_wsgi_app(application)
if __name__ == '__main__':
main()
bqclient.py that gets imported in your main.py which handles BigQuery actions
from apiclient.discovery import build
class BigQueryClient(object):
def __init__(self, http, decorator):
"""Creates the BigQuery client connection"""
self.service = build('bigquery', 'v2', http=http)
self.decorator = decorator
def Query(self, query, project, timeout_ms=10):
query_config = {
'query': query,
'timeoutMs': timeout_ms
}
decorated = self.decorator.http()
queryReply = (self.service.jobs()
.query(projectId=project, body=query_config)
.execute(decorated))
jobReference=queryReply['jobReference']
while(not queryReply['jobComplete']):
queryReply = self.service.jobs().getQueryResults(
projectId=jobReference['projectId'],
jobId=jobReference['jobId'],
timeoutMs=timeout_ms).execute(decorated)
return queryReply
where all your authentication details are kept in a json file client_secrets.json
{
"web": {
"client_id": "xxxxxxxxxxxxxxx",
"client_secret": "xxxxxxxxxxxxxxx",
"redirect_uris": ["http://localhost:8080/oauth2callback"],
"auth_uri": "https://accounts.google.com/o/oauth2/auth",
"token_uri": "https://accounts.google.com/o/oauth2/token"
}
}
finally, don't forget to add these lines to your app.yaml:
- url: /oauth2callback
script: oauth2client/appengine.py
Hope that helps.
I am not sure I completely understand the use case, but if you are creating an application for others to use without their having to authorize access based on their own credentials, I would recommend using App Engine service accounts.
An example of this type of auth flow is described in the App Engine service accounts + Prediction API article.
Also, see this part and this part of the App Engine Datastore to BigQuery codelab, which also uses this authorization method.
The code might look something like this:
import httplib2
# Available in the google-api-python-client lib
from apiclient.discovery import build
from oauth2client.appengine import AppAssertionCredentials
# BigQuery Scope
SCOPE = 'https://www.googleapis.com/auth/bigquery'
# Instantiate and authorize a BigQuery API client
credentials = AppAssertionCredentials(scope=SCOPE)
http = credentials.authorize(httplib2.Http())
bigquery_service = build("bigquery", "v2", http=http)
# Make some calls to the API
jobs = bigquery_service.jobs()
result = jobs.insert(projectId='some_project_id',body='etc, etc')