Plaid - can't run (python) quickstart - javascript

I'm working with the Plaid API found here but can't seem to get the quickstart to run properly. My latest attempt is below
import base64
import os
...
...
app = Flask(__name__)
# Fill in your Plaid API keys - https://dashboard.plaid.com/account/keys
PLAID_CLIENT_ID = 'xxxxxxxx' #os.getenv('xxxxx')
PLAID_SECRET = 'xxxxx' #os.getenv('xxxx')
...
PLAID_ENV = 'sandbox' #os.getenv('PLAID_ENV', 'sandbox')
...
PLAID_PRODUCTS = 'transactions' #os.getenv('PLAID_PRODUCTS', 'transactions').split(',')
...
PLAID_COUNTRY_CODES = 'US' #os.getenv('PLAID_COUNTRY_CODES', 'US').split(',')
def empty_to_none(field):
value = os.getenv(field)
if value is None or len(value) == 0:
return None
return field
...
PLAID_REDIRECT_URI = empty_to_none('http://localhost:8000/oauth-response.html')
client = plaid.Client(client_id=PLAID_CLIENT_ID,
secret=PLAID_SECRET,
environment=PLAID_ENV,
api_version='2019-05-29')
#app.route('/')
def index():
return render_template('index.html',)
When I run server.py and open the browser the button can't be selected. Also the list of banks just continuously loads. So I check chrome dev tools I find the error link-initialize.js:1 Uncaught Error: Missing Link parameter. Link requires a key or token to be provided. Is this because I didn't pass something in render_template? I can't tell from the index.html file found here & currently that's the only front end document referenced in the (python) repository. I looked at the question found here but it's several years old & I believe the integration has changed...

The problem here is that you're specifying a REDIRECT_URI but haven't configured the developer dashboard to accept that as your URI.
Unfortunately, the error messaging is currently swallowed and only visible in the network tab. We're going to fix it so that these errors are propagated into a place where they're more visible.

Related

Telegram Bot: Forwarding Messages from Private Group

Is there any way using Python / JS to forward messages which I, as a member, do receive in a private read-only group? I'm trying to set it up using python-telegram-bot but it seems I gotta add the bot to the group to have it interact with the contents sent in the group. But I can't as Im just a reading / receiving member...
Is there maybe a way without using the Telegram API, but using some sort of JS Browser automation to forward those? This is the only thing which comes to my mind... Thanks in advance!
Answering my own question in case someone needs it.
As #CallMeStag pointed out, one needs a library which support "User bots". These are librarys directly implementing the MTProto.
For python, e.g. Pyrogram is suitable and very easy to use.
First of all, one needs an API key and API hash to identify the Python Script on the Telegram server to communicate in the MTProto.
https://my.telegram.org/auth?to=apps -> Login using your credentials and create an "App". Define those into API_ID and API_HASH below.
Now, I use this code to copy messages from the SOURCE_CHAT to the TARGET_chat:
#!/usr/bin/env python3
from pyrogram import Client
from pyrogram import filters
# ~~~~~~ CONFIG ~~~~~~~~ #
ACCOUNT = "#xy"
PHONE_NR = '+49....'
# https://my.telegram.org/auth?to=apps
API_ID = 1111111
API_HASH = "your_hash"
# CHAT ID
SOURCE_CHAT = -11111
TARGET_CHAT = -22222
# ~~~~~~~~~~~~~~~~~~~~~~ #
app = Client(
ACCOUNT,
phone_number=PHONE_NR,
api_id=API_ID,
api_hash=API_HASH
)
# filters.chat(SOURCE_CHAT)
#app.on_message(filters.chat(SOURCE_CHAT))
def my_handler(client, message):
message.copy( # copy() so there's no "forwarded from" header
chat_id=TARGET_CHAT, # the channel you want to post to
caption="Copied from XYZ" # Caption
)
app.run()
To find out the CHAT_ID of Source and Target, I temporarly disabled the Filter, and printed the message.
#app.on_message()
def my_handler(client, message):
print(message)
Doing so, enables you to: whenever receiving a message in the specific group, you can find message.chat.id (attention: negative Values!). Configure those for SOURCE_CHAT and TARGET_CHAT in the full script above.
EDIT:
Another option to get all chat IDs for all dialogues without first needing someone to send a message in the channel/group/private/chat:
def getAllChatIDs():
for x in app.get_dialogs():
print (x.chat.type, x.chat.title, x.chat.id)
Simply call it once and you'll get a list of dialogues :)
It's indeed not possible with Telegram Bots - you'd have to add them to the group. You can however automate your personal account using so called "user bots". Here is an article about them.

403 IAM permission despite giving admin permissions to the agent to give permissions to list intent

I want to use the chatbot I created with Dialogflow as the main page of my website. Yet it tells me that google.api_core.exceptions.PermissionDenied: 403 IAM permission 'dialogflow.sessions.detectIntent' on 'projects/pollingagent-jnscpa/agent' denied.
when trying to talk to him.
I followed this tutorial that tells how to do it with Flask but I'm ready to shift to the easiest solution.
I tried the following thing from the answers to a similar question:
In Dialogflow's console, going to settings ⚙ > under the general tab, there is the project ID section with a Google Cloud link to open the Google Cloud console > Open Google Cloud.
In google cloud, going to IAM Admin > IAM under tab Members. Find the name of my agents and then click on edit.
Give admin permissions to the agent to give permissions to list intent.
So I don't know, maybe the problem is from my index.py?
from flask import Flask, request, jsonify, render_template
import os
import dialogflow
app = Flask(__name__)
#app.route('/')
def index():
return render_template('index.html')
def detect_intent_texts(project_id, session_id, text, language_code):
session_client = dialogflow.SessionsClient()
session = session_client.session_path(project_id, session_id)
if text:
text_input = dialogflow.types.TextInput(
text=text, language_code=language_code)
query_input = dialogflow.types.QueryInput(text=text_input)
response = session_client.detect_intent(
session=session, query_input=query_input)
return response.query_result.fulfillment_text
#app.route('/send_message', methods=['POST'])
def send_message():
message = request.form['message']
project_id = os.getenv('DIALOGFLOW_PROJECT_ID')
fulfillment_text = detect_intent_texts(project_id, "unique", message, 'en')
response_text = { "message": fulfillment_text }
return jsonify(response_text)
# run Flask app
if __name__ == "__main__":
app.run()
There can be one of the two issues which you might be facing:
You might not have set the path to json credential file properly. You can either set it as an environment variable or do os.environ['GOOGLE_APPLICATION_CREDENTIALS']="/path/to/project_name-xxxxxxxx.json"
Goto dialogflow homepage and then click on the displayed location
Then click on PROJECT_ID link to goto your google cloud console
After you are in google cloud console, open the side menu panel as displayed and then goto IAM & Admin > IAM
You should see all the members and if the role is not set to Owner then click on edit icon and change role to owner
With the following steps I was able to run my the following snippet
from google.cloud import dialogflow
import random
import string
import os
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = "\path\to\<project_name>-xxxxxx.json"
x = ''.join(random.choice(string.ascii_uppercase + string.ascii_lowercase + string.digits) for _ in range(16))
client_session = dialogflow.SessionsClient()
session = client_session.session_path("<project_name>", x)
print(session)
text = input("Please enter a text : ")
text_input = dialogflow.TextInput(text=text, language_code='en')
query_input = dialogflow.QueryInput(text=text_input)
response = client_session.detect_intent(
request={'session': session, 'query_input': query_input})
print('=' * 20)
print('Query text: {}'.format(response.query_result.query_text))
print('Detected intent: {} (confidence: {})\n'.format(
response.query_result.intent.display_name,
response.query_result.intent_detection_confidence))
print('Fulfillment text: {}\n'.format(response.query_result.fulfillment_text))
You haven't setup the credentials in the code, do you have the environment variable set for credentials?
The GOOGLE_APPLICATION_CREDENTIALS variable is the easiest way to do this, where the value of that variable is set to the path to the service account key that you download.
You can do this in the code as well if you want, so it doesn't affect the rest of your environment with something like:
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = 'path/to/private_key.json'

Clear Chrome browser logs in Selenium/Python

I have a large application and I am using Headless Chrome, Selenium and Python to test each module. I want to go through each module and get all the JS console errors produced while inside that specific module.
However, since each module is inside a different test case and each case executes in a separate session, the script first has to login on every test. The login process itself produces a number of errors that show up in the console. When testing each module I don't want the unrelated login errors to appear in the log.
Basically, clear anything that is in the logs right now -> go to the module and do something -> get logs that have been added to the console.
Is this not possible? I tried doing driver.execute_script("console.clear()") but the messages in the console were not removed and the login-related messages were still showing after doing something and printing the logs.
State in 2017 and late 2018
The logging API is not part of the official Webdriver specification yet.
In fact, it's requested to be defined for the level 2 specification. In mid 2017 only the Chromedriver has an undocumented non-standard implementation of that command.
In the sources there's no trace of a method for clearing logs:
The public API Webdriver.get_log()
which references internal Command names
which translate to acutal requests in RemoteConnection
Possible Workaround
The returned (raw) data structure is a dictionary that looks like this:
{
u'source': u'console-api',
u'message': u'http://localhost:7071/console.html 8:9 "error"',
u'timestamp': 1499611688822,
u'level': u'SEVERE'
}
It contains a timestamp that can be remembered so that subsequent calls to get_log() may filter for newer timestamps.
Facade
class WebdriverLogFacade(object):
last_timestamp = 0
def __init__(self, webdriver):
self._webdriver = webdriver
def get_log(self):
last_timestamp = self.last_timestamp
entries = self._webdriver.get_log("browser")
filtered = []
for entry in entries:
# check the logged timestamp against the
# stored timestamp
if entry["timestamp"] > self.last_timestamp:
filtered.append(entry)
# save the last timestamp only if newer
# in this set of logs
if entry["timestamp"] > last_timestamp:
last_timestamp = entry["timestamp"]
# store the very last timestamp
self.last_timestamp = last_timestamp
return filtered
Usage
log_facade = WebdriverLogFacade(driver)
logs = log_facade.get_log()
# more logs will be generated
logs = log_facade.get_log()
# newest log returned only
This thread is a few years old, but in case anyone else finds themselves here trying to solve a similar problem:
I also tried using driver.execute_script('console.clear()') to clear the console log between my login process and the page I wanted to check to no avail.
It turns out that calling driver.get_log('browser') returns the browser log and also clears it.
After navigating through pages for which you want to ignore the console logs, you can clear them with something like
_ = driver.get_log('browser')

Google Sharing API Leads to 500 Error and "Sharing is Unavailable" Message

I am attempting to set up the sharing ability on a web application that I am making. I have followed the steps on Google's Drive Sharing Instruction Page to the best of my ability. However, when I click the button, I get the expected popup, but with the message "Sorry, sharing is unavailable at this time. Please try again later."
The code I have is slightly different, as the init function name is being used elsewhere. The code I have is:
function initializeGoogleApis() {
/*
self._shareClient = {
'showSettingsDialog': function() {
devConsole.warning(0, "The sharing ability has not yet been implemented.");
}
};*/
gapi.load('drive-share', function() {
self._shareClient = new gapi.drive.share.ShareClient();
self._shareClient.setOAuthToken(self.clientId);
self._shareClient.setItemIds(self.realtimeUtils.getParam("id"));
});
}
Note the commented section. I had this to insure that the 'share' button on my page is loaded properly and calling the function, which it is. As explained in the title, when I click the button, I get a 500 error in the console.
At the bottom of the Google page listed above, it says the following:
The user is signed in to Google --> I have done this
The user has installed your app --> I don't know about this. For all other functionality, I only have to visit the site, so I am not sure what the difference here is.
The URL of the page that launches the dialog must have the same origin as the Open URL registered for the app --> I think I have this done. I followed the link on the page (here) and verified ownership.
I am also testing on the actual host, not on localhost as it states this will not work.
All the same, I get the following error:
GET https://drive.google.com/sharing/share?id=xxxxx_xxxxxxxxxx8&fore…
d=false&client=postMessage&embedOrigin=http://www.example.com 500 ()
_.k.$l # cb=gapi.loaded_0:651
_.k.S # cb=gapi.loaded_0:651
_.k.Ql # cb=gapi.loaded_0:794
ys.kc # cb=gapi.loaded_0:791
Ts.OV # cb=gapi.loaded_0:822
Zs # cb=gapi.loaded_0:814
FM # cb=gapi.loaded_0:818
Ts.Ph # cb=gapi.loaded_0:818
pt.Na # cb=gapi.loaded_0:829
onclick # ?id=xxxxx_xxxxxxxxxxxxxxxxxxx:97
Any help would be appreciated
It looks like you are passing in your clientID instead of your OAuth token.

How to filter out the most active users from fan page?

I am creating a new website. I want to promote it using another my topic-related web service. I want to send some gifts to people which popularized my first website and fanpage. How to filter out lets say 20 users which likes/shares/comments most of my posts?
Any suitable programming language will be good.
[EDIT]
Ok... to be honest I looking a way to parse a fanpage that is not mine. I want to send gifts to the most active users of fanpage of my competition, to simply bribe them a little :)
There are a number of ways, I'll start with the easiest...
Say there's a brand name or #hashtag involved then you could user the search API as such: https://graph.facebook.com/search?q=watermelon&type=post&limit=1000 and then iterate over the data, say the latest 1000 (the limit param) to find out mode user (the one that comes up the most) out of all the statuses.
Say it's just a page, then you can access the /<page>/posts end point (eg: https://developers.facebook.com/tools/explorer?method=GET&path=cocacola%2Fposts) as that'll give you a list of the latest posts (they're paginated so you can iterate over the results) and this'll include a list of the people who like the posts and who comment on them; you can then find out the mode user and so on.
In terms of the code you can use anything, you can even run this locally on your machine using a simple web server (such as MAMP or WAMP, etc...) or CLI. The response is all JSON and modern languages are able to handle this. Here's a quick example I knocked up for the first method in Python:
import json
import urllib2
from collections import Counter
def search():
req = urllib2.urlopen('https://graph.facebook.com/search?q=watermelon&type=post')
res = json.loads(req.read())
users = []
for status in res['data']:
users.append(status['from']['name'])
count = Counter(users)
print count.most_common()
if __name__ == '__main__':
search()
I've stuck it up on github if you want to refer to it later: https://github.com/ahmednuaman/python-facebook-search-mode-user/blob/master/search.py
When you run the code it'll return an ordered list of the mode users within that search, eg the ones who've posted the most comments with the specific search tag. This can be easily adapted for the second method should you wish to use it.
Based on Ahmed Nuaman answer (please also give them +1), I have prepared this piece of code:
example of usage:
To analyze most active facebook users of http://www.facebook.com/cern
$ python FacebookFanAnalyzer.py cern likes
$ python FacebookFanAnalyzer.py cern comments
$ python FacebookFanAnalyzer.py cern likes comments
notes: shares and inner comments are not supported
file: FacebookFanAnalyzer.py
# -*- coding: utf-8 -*-
import json
import urllib2
import sys
from collections import Counter
reload(sys)
sys.setdefaultencoding('utf8')
###############################################################
###############################################################
#### PLEASE PASTE HERE YOUR TOKEN, YOU CAN GENERETE IT ON:
#### https://developers.facebook.com/tools/explorer
#### GENERETE AND PASTE NEW ONE, WHEN THIS WILL STOP WORKING
token = 'AjZCBe5yhAq2zFtyNS4tdPyhAq2zFtyNS4tdPw9sMkSUgBzF4tdPw9sMkSUgBzFZCDcd6asBpPndjhAq2zFtyNS4tsBphqfZBJNzx'
attrib_limit = 100
post_limit = 100
###############################################################
###############################################################
class FacebookFanAnalyzer(object):
def __init__(self, fanpage_name, post_limit, attribs, attrib_limit):
self.fanpage_name = fanpage_name
self.post_limit = post_limit
self.attribs = attribs
self.attrib_limit = attrib_limit
self.data={}
def make_request(self, attrib):
global token
url = 'https://graph.facebook.com/' + self.fanpage_name + '/posts?limit=' + str(self.post_limit) + '&fields=' + attrib + '.limit('+str(self.attrib_limit)+')&access_token=' + token
print "Requesting '" + attrib + "' data: " + url
req = urllib2.urlopen(url)
res = json.loads(req.read())
if res.get('error'):
print res['error']
exit()
return res
def grep_data(self, attrib):
res=self.make_request(attrib)
lst=[]
for status in res['data']:
if status.get(attrib):
for person in status[attrib]['data']:
if attrib == 'likes':
lst.append(person['name'])
elif attrib == 'comments':
lst.append(person['from']['name'])
return lst
def save_as_html(self, attribs):
filename = self.fanpage_name + '.html'
f = open(filename, 'w')
f.write(u'<html><head></head><body>')
f.write(u'<table border="0"><tr>')
for attrib in attribs:
f.write(u'<td>'+attrib+'</td>')
f.write(u'</tr>')
for attrib in attribs:
f.write(u'<td valign="top"><table border="1">')
for d in self.data[attrib]:
f.write(u'<tr><td>' + unicode(d[0]) + u'</td><td>' +unicode(d[1]) + u'</td></tr>')
f.write(u'</table></td>')
f.write(u'</tr></table>')
f.write(u'</body>')
f.close()
print "Saved to " + filename
def fetch_data(self, attribs):
for attrib in attribs:
self.data[attrib]=Counter(self.grep_data(attrib)).most_common()
def main():
global post_limit
global attrib_limit
fanpage_name = sys.argv[1]
attribs = sys.argv[2:]
f = FacebookFanAnalyzer(fanpage_name, post_limit, attribs, attrib_limit)
f.fetch_data(attribs)
f.save_as_html(attribs)
if __name__ == '__main__':
main()
Output:
Requesting 'comments' data: https://graph.facebook.com/cern/posts?limit=50&fields=comments.limit(50)&access_token=AjZCBe5yhAq2zFtyNS4tdPyhAq2zFtyNS4tdPw9sMkSUgBzF4tdPw9sMkSUgBzFZCDcd6asBpPndjhAq2zFtyNS4tsBphqfZBJNzx
Requesting 'likes' data: https://graph.facebook.com/cern/posts?limit=50&fields=likes.limit(50)&access_token=AjZCBe5yhAq2zFtyNS4tdPyhAq2zFtyNS4tdPw9sMkSUgBzF4tdPw9sMkSUgBzFZCDcd6asBpPndjhAq2zFtyNS4tsBphqfZBJNzx
Saved to cern.html
Read the list of posts on the page at the page's /feed connection and track the user IDs of those users who posted and commented on each post, building a list of who does it the most often.
Then store those somewhere and use the stored list in the part of your system which decides who to send the bonuses to.
e.g.
http://graph.facebook.com/cocacola/feed returns all the recent posts on the cocacola page, and you could track the IDs of the posters, commenters, likers, to determine who are the most active users
write a php or jquery script which is executed when user clicks like or share on your website just before actually sharing/like to fb and record the user info and the post he/she shared/liked. Now you can track who shared your post the most.
PHP/Jquery script will act as middle man, so dont use facebook share/like script directly. I will try to find the code I have written for this method. I have used PHP & Mysql. Try to use JQuery this will give a better result in terms of hidding the process (I mean data will be recorded without reloading the page).
Your question is nice, but it is quite hard.. (Actually, in the beginning, there's a thing that came from my mind that this is impossible. So, I build a quite different solution...) One of the best ways is to create a network where your viewers can register in the form that required the official URLs of their social networking pages, and also, they could choose that they doesn't have this kind of network:
“Do you want to share some of our page? Please register here first..”
So, they can get a specific URL that they've wanted to share when they're in your website, but they doesn't know the they're in tracing when they visited that specific URL.. (Every time a specific URL get visited, an I.P. get tracked and the number of visits get ++1 in a database.) Give them a dynamic URL on the top of your website that's in text area of every pages to track them. Or use scripting to automated the adding of a tracing query string on the URLs of your site.
I think there's a free software to build an affiliate network to make this easy! If your viewers really love your website, they'll registered to be an affiliate. But this thing is different, affiliate network is quite different from a network that mentioned in the paragraphs above..
But I think, you can also use Google Analytics to fully trace some referrals that didn't came from the URLs with dynamic QUERY STRING like Digital Point, but not from the other social network like Facebook 'cause you wouldn't get the exact Referral Paths with that kind of social network because of the query path. However you can use it to track the other networks. Also, AddThis Analytics is good for non-query string URLs.
The two kinds of referrals on Google Analytics are under of “Traffic Sources” menu of STANDARD REPORTS..
Traffic Sources
Sources
Referrals
Social
Network Referrals
This answer is pretty messy, but sometimes, quite useful.. Other than that? Please check these links below:
Publishing with an App Access Token - Facebook Developers
Facebook for Websites - Facebook Developers
Like - Facebook Developers
Open Graph Overview - Facebook Developers

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