Python receive Google Drive push notification - push-notification

Since the Drive SDK v3 we are able to receive push notifications from Google Drive whenever a file has changed. At the moment I'm working on a Drive application in Python and I would like to receive such notifications. Do I really need a web server for this or can I implement this maybe with a socket or something like this?
I know that I can get changes by polling the changes.list method but I want to avoid this because of so many API calls. Is there maybe a better way to get informed if a file has changed?
EDIT: I captured my web traffic and saw, that the original Google Drive Client for Windows uses push notifications. So in some way it must be possible to get push notifications in a desktop application but is this maybe some sort of Google magic which we can't use with the current API

For Google Drive apps that need to keep track of changes to files, the Changes collection provides an efficient way to detect changes to all files, including those that have been shared with a user. The collection works by providing the current state of each file, if and only if the file has changed since a given point in time.
Retrieving changes requires a pageToken to indicate a point in time to fetch changes from.
# Begin with our last saved start token for this user or the
# current token from getStartPageToken()
page_token = saved_start_page_token;
while page_token is not None:
response = drive_service.changes().list(pageToken=page_token,
fields='*',
spaces='drive').execute()
for change in response.get('changes'):
# Process change
print 'Change found for file: %s' % change.get('fileId')
if 'newStartPageToken' in response:
# Last page, save this token for the next polling interval
saved_start_page_token = response.get('newStartPageToken')
page_token = response.get('nextPageToken')

Related

Missing videoTrack in a multitrack stream in Ant media server 2.4.1

We have a Multitrack web conference implementation using AMS 2.4.1 version. Its working great for our use case, except in one scenario. When there are N (< 3) number of users and they on there camera simultaneously, then few remote users are not rendered as we don't receive the video tracks for those users in newStreamAvailable. We only receive the audio track for those users. We are able to reproduce this quite frequently.
As a backup, I am trying to poll AMS using getTrackList with the main track Id to get all available streams, but I am not getting any message trackList
var jsCmd =
{
command : "getTrackList",
streamId : streamId, // this is roomId or main track id
token : token
}
Any insight would be helpful.
Thanks,
We were able to resolve the issue, posting here to help anyone who might be facing a similar issue.
With push notifications from the server, we might encounter issues when for some reason push operation doesn't succeed. In that case, it's better to have a backup plan to pull from the server and sync.
The Ant Media Server suggests pulling the server periodically for the room info. The server will respond with active streams and the application should synchronize.
For reference, please refer to following link https://resources.antmedia.io/docs/webrtc-websocket-messaging-reference

telegram use schedule message

I want to schedule a telegram bot message to be sent at a specific unixtime.
As from telegrams official api (https://core.telegram.org/api/scheduled-messages) that should be possible by setting the schedule_date flag.
To schedule a message, simply provide a future unixtime in the schedule_date flag of messages.sendMessage or messages.sendMedia.
However I was not able to set that flag. To be more precisely, I do not even know how to set a flag, or if I am using the correct api.
What I have tried is to use the api directly via the browser (could use curl as well) like so: https://api.telegram.org/botBOT:TOKEN/sendMessage?chat_id=ID&text=Test&schedule_date=1653503351
I also did not find any way to access this flag via https://pypi.org/project/pyTelegramBotAPI/#description https://telepot.readthedocs.io/en/latest/#send-a-message, nor https://github.com/nickoala/telepot.
I want to implement this feature in a python environment, but any working suggestion would be much appreciated.
EDIT:
I decided to save the intention to send a telegram bot message at a certain unixtime in a database. I then create an infinite loop that checks if there are any unsent messages before the current timestamp. If the loop detects such a message it sends the message and sets a flag, that that message has been sent.
And as promised, here is a fully dockerized example of that behaviour in action: https://github.com/Sokrates1989/nameTheCountDown-lightweight
It creates a bot that you can pass a name and the duration. Once the duration has passed it sends a message with the passed name. Basically a simple countdown that you can give several names, that run simltaniously. As it is a telegram chat, you can modify the way you are informed about the end of a countdown by modifying the notificaiton of that chat.
And here is the Bot in action: http://t.me/NameTheCountdownBot
We can't do this by bot API itself, and there's no schedule_date parameter in sendMessage method:
https://core.telegram.org/bots/api#sendmessage
And what you've read is for Telegram clients, not bot API consumers.
If you don't really need unixtime, you can simply create a table for scheduled messages with a text, chat_id and a publish_time column (like 22:15), and run a command every minute to look if there's a message for current time to send. Then send the message and delete the record.
Note that the python-telegram-bot library has a built-in solution for scheduling tasks: The JobQueue. This feature is based on the APScheduler library, which you can ofc also use without python-telegram-bot.
Disclaimer: I'm currently the maintainer of python-telegram-bot.
https://core.telegram.org/method/messages.sendScheduledMessages
Now you can send scheduled messages right away

Cloud Functions times out when calling an external HTTP with a POST request

I have a Google Cloud Function and within that I called two external APIs (or URLs), using the Python requests library, one requests.get and another requests.post. Please note that these APIs are tested and working using Postman.
The requests.get is downloading an MP3 file and it is working in Cloud Functions as I was able to see the downloaded file in Cloud Storage:
download_url = "https://some.url.com/music.mp3"
resp = requests.get(download_url)
[get the resp.content, put to storage bucket]
Aside from storing in Cloud Storage, I also send this mp3 file over to Google Cloud Speech-to-Text API and get the transcribed text, which I want to post to the another URL.
[transcribe the audio using Speech-to-Text API, get the transcibed text]
data = { "download_url": download_url, "transcription": transcribed_text }
upload_api = https://another.url.com/api"
resp = requests.post(upload_api, data = data)
Likewise, the transcription is working because I print/log the text and it shows in the View Logs console of Cloud Functions. In the requests.post however, I am getting a time out, also according to the logs.
requests.post(upload_api, data = data, timeout=120)
I even lengthen the timeout setting but that still happens. What could be the explanation for this? Is there a Google Cloud configuration that I miss to set somewhere that might be causing this?
This is because GCP cloud functions has a 1 minute timeout, to fix it is necessary to declare the timeout limit when you create your function
if you are using Gcloud CLI commands to deploy your function, you need to add the flag --timeout
for example
gcloud functions deploy FUNCTION_NAME --timeout=TIMEOUT FLAGS
if you are using the GCP console (Web UI) you need to follow the steps on this link

How many clients are connected to my firestore?

I am working on a flutter app that fetches 341 documents from the firestore, after 2 days of analysis I found out that my read requests are increasing too much. So I made a chart on the stackdriver metrics explorer from which I get to know that my app is just reading 341 docs a single time, it's the firebase console which is increasing my reads.
Now, comes to what are the questions that are bothering me,
1)How reads are considered when we see data on the console and how can I reduce my read requests? Basically there are 341 docs but it is showing more than 600 reads whenever I refresh my console.
2)As you can see in the picture there are two types of document reads 'LOOKUP' and 'QUERY', what's the exact difference between them?
3)I am getting data from the firestore with a single instance and when I open my app the chart shows 1 active client which is cool but in the next 5 minutes, the number of active clients starts to increase.
Can anybody please explain to me why this is happening?
For the last question, I tried to disable all the service accounts and then again opened my app but got the same thing again.
Firestore.instance.collection("Lectures").snapshots(includeMetadataChanges: true).listen((d){
print(d.metadata.isFromCache);//prints false everytime
print(d.documents.length);// 341
print(d.documentChanges.length);//341
});
This is the snippet I am using. When the app starts it runs only once.
I will try to answer your questions:
How reads are considered when we see data on the console and how can I
reduce my read requests? Basically there are 341 docs but it is
showing more than 600 reads whenever I refresh my console.
Reads are considered depending on your how you query your Firestore database in addition to your access to this database from the console so using of the Firebase console will incur reads and even if you leave the console open to do other stuff, when new changes to database occured these changes will incur reads also, automatically.and any document read from the server is going to be billed. It doesn't matter where the read came from. The console should be included in that.
Check this official documentation under the "Manage data" title you can see there is a note : "Note: Read, write, and delete operations performed in the console count towards your Cloud Firestore usage."
Saying that if you think there is an issue with this, you can contact Firebase support directly to have more detailed answers.
However, If you check the free plan of Firebase you can see that you have 50K free reads per day.
A workaround that I found for this (thanks to Dependar Sethi)
Bookmarking the Usage tab of the Firestore page. (So you basically
'Skip' the Data Tab)
Adding a dummy collection in a certain way that ensures it is the
first collection(alphabetically) which gets loaded by default on
the Firestore page.
you can find his full solution here.
Also, you can optimise your queries however you want to retreive only the data that you want using where() method and pagination with Firebase
As you can see in the picture there are two types of document reads
'LOOKUP' and 'QUERY', what's the exact difference between them?
I guess there are no important difference between them but "QUERY" is getting the actual data(when you call data() method) while "LOOKUP" is getting a reference of these data(without calling data() method).
I am getting data from the firestore with a single instance and when I
open my app the chart shows 1 active client which is cool but in the
next 5 minutes, the number of active clients starts to increase.
For this question, considering the metrics that you are choosing in Stackdriver I can see 3 connected clients. and as per the decription of "connected client" metric:
The number of active connections. Each mobile client will have one connection. Each listener in admin SDK will be one connection. Sampled every 60 seconds. After sampling, data is not visible for up to 240 seconds.
So please check: how many mobiles are connected to this instance and how many listeners do you have in your app. The sum of all of them is the actual number of connected clients that you are seeing in Stackdriver.

Getting Firebase timestamp before pushing data

I have a chat app powered by Firebase, and I'd like to get a timestamp from Firebase before pushing any data.
Specifically, I'd like to get the time that a user pushes the send button for a voice message. I don't actually push the message to Firebase until the upload was successful (so that the audio file is guaranteed to be there when a recipient receives the message). If I were to simply use Firebase.ServerValue.TIMESTAMP, there could be an ordering issue due to different upload durations. (A very short message following a very long one, for example.)
Is there anyway to ping Firebase for a timestamp that I'm not seeing in the docs? Thank you!
If you want to separate the click, from the actual writing of the data:
var newItemRef = ref.push();
uploadAudioAndThen(audioFile, function(downloadURL) {
newItemRef.set({
url: downloadURL,
savedTimestamp: Firebase.ServerValue.TIMESTAMP
});
});
This does a few things:
it creates a reference for the item item before uploading. This reference will have a push ID based on when the upload started. Nothing is written to the database at this point, but the key of the new location is determined.
it then does the upload and "waits for it" to complete.
in the completion handler of the upload, it writes to the new location it determine in step 1.
it writes the server timestamp at this moment, which is when the upload is finished
So you now have two timestamps. One is when the upload started and is encoded into the key/push id of the new item, the other is when the upload completed and is in the savedTimestamp property.
To get the 3 most recently started uploads that have already completed:
ref.orderByKey().limitToLast(3).on(...
To get the 3 most recently finished uploads:
ref.orderByChild('savedTimestamp').limitToLast(3).on(...

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