I'm trying to access the Jupyter Notebook running on my home Windows PC from my Chromebook.
I've been following the instructions I found here. I've got self-signed certificates, passwords, and filled out the config file etc.
My chromebook connects when I'm at home, but when I'm connected to a different Wi-Fi network it refuses to connect.
You'll need to set up port forwarding in order to direct traffic to the correct machine on your local network at home. You'll also need to be able to track what your external IP address is (you can use a dynamic IP service to do this) so that you can even connect to your home network in the first place.
It might be easier to go through a service like pythonanywhere to do this (they have it all set up for you although it sounds like the free tier doesn't include this). Plus, you can then use their service to deploy a webapp (docker, flask, etc) if that's a direction your project heads.
Related
Hello I coded this website that generates math problems (Here is the code: Here)
It is coded on flask and it is locally being hosted on this link that is not accessible to other people http://127.0.0.1:5000/ .I have a google domain and I want to have a website. What things / services do I need to use. I have been wait to see if I need to use AWS but I think I might need to. I have tried things like transferring it off of flask but I can't. If this is a repost sorry please post there answer thanks -Ben
I am assuming what you're asking is to host your flask web site so others can view it. The address you mention in your post is the local host address for your computer and is only accessible from your own computer. If you only want someone on your same network (WiFi) to access it, you would need to replace "127.0.0.1" with the IP address of your computer. You would also likely have to open up a firewall on your computer to allow the port 5000.
However, if you want anyone on the internet to access your site, there are a ton of ways to do this but since you mentioned AWS, you can do this easily by running a small EC2 instance (virtual server). If you have a new AWS account and have not already run any EC2 in that account, you can actually run a small EC2 instance for free for a whole year. Great for small projects. If you're just getting started with EC2, you may want to go here https://aws.amazon.com/ec2/getting-started/
Basic steps:
Spin up an EC2 instance. Choose the default Amazon Linxu 2 OS type, make sure to create/assign a key pair so you can later ssh into it, make sure the Allow SSH from anywhere setting is checked/selected and the Allow HTTP checkbox is checked (not HTTPS).
Wait for the instance to launch.
Log into your instance by clicking on your ec2 instance in the list of ec2 instnaces and click the Connect button, click the Connect button again (Instance connect tab). If that doesn't work, follow the steps on the SSH client tab.
Install flask
pip3 install flask
Clone your git repo
git clone https://github.com/some0ne14/Math-Ibex.git
Change to your repos' folder
cd Math-Ibex/Math-Practice-Website-master
Edit your main.py so that the app.run line looks like the following (you can do this on GitHub before you run git clone actually or use the nano command to edit the file easily). This allows the system to run on the standard web port 80.
app.run(host='0.0.0.0', port=80, debug=True)
Run the following to start the application. If you want to run it as a service so you can walk away or close the terminal and it will still stay running, just search on here how to run flask as a service.
python3 main.py
You can now connect to your server with any web browser using your EC2 instance's public IP address or generated AWS DNS name (available on the EC2 instnace property page).
Make sure to stop your instance when not using it to save those free runtime minutes.
I'm creating a python flask api on remote desktop and running it on localhost of remote desktop.
Is there anyway I can access this api from my local machine?
We are working in a team and I want to share this with my team members, but this is confidential and not to be deployed on open server.
We want to post and get the result with every member's local machine from api runnnig on remote desktop.
Both of our local machines and remote desktop are windows10.
Sorry for being abstract but I'm searching for any way out. Thanks.
Well, you should open your way to this API. You'll have to set up a VPN or IP address filter in the server so you can access the server from your network while still have it secured on the Internet. You can also setup a simpler proxy if you prefer it. I'll not cover the details on how to setup a VPN or proxy since it can get pretty extensive, but a Google search will help you out find the best alternative for you.
AFAIK, the Remote Desktop Protocol does not allow for any kind of VPN. However, if you can switch to TeamViewer, it does have an easy to setup VPN system that will allow you to get into the network with few configuration. Once a VPN is configured, it will work like if you were in the same network as the server, so from there you can access your API from your host machine by just going to the IP address of the server.
Do notice the security policies of whoever owns the server, since you can get into trouble if you don't have permission to enable some access from the outside. Security goes always in front of comfort.
Short term solution:
Firstly download ngrok for your operating system.
For debugging and testing purposes you can expose a secure tunnel connection to your API by running this command in your command prompt / terminal.
ngrok http <PORT_NUMBER>-host-header="localhost:<PORT_NUMBER>"
Where PORT_NUMBER is the port number in which your flask application is running.
Example if your flask application is running at port 5000 then simply execute this command:
ngrok http 5000 -host-header="localhost:5000"
Running this will give you two hostnames one with HTTP and other a secure HTTPS connected by a tunnel like this for a duration of 8 hours after which the command needs to again re-run.
Which you can call remotely
Long term solution:
Deploy flask application using FastCGI
or
To a cloud infrastructure provider like Microsoft Azure which gives readymade templates for flask applications.
I have a compute engine instance running on Google cloud platform.
I would like to use the Python interpreter of the compute engine as a remote interpreter with Pycharm. This means that I would be using Pycharm on my local machine and running computations remotely.
Any clue on how to achieve this?
The following requires, as James Hirschhorn pointed out, the Professional verison of PyCharm.
Assign a public IP to the remote machine on GCP.
Run gcloud compute config-ssh to automatically add the VMs of your project to your ~/.ssh/config or manually add the public IP of your VM to it. If you skipped step 1. then you have to run gcloud compute config-ssh every time you re-start the remote VM, because it always gets a new IP assigned. The ~/.ssh/config gets populated with many entries in the following format:
Host the-vm-host-name # use this in PyCharm's Host field
HostName 123.456.789.00 # the VM's IP address
Use the Host name of the remote you want to connect in your Deployment configuration in PyCharm
Add a remote interpreter: select the remote server from the drop-down (the one previously created) and point PyCharm to the executable python of your Python installation.
Done
My understanding is that you need the Pycharm Ultimate Edition to support remote servers. If you have Ultimate, then you can follow these instructions.
It's fairly easy to accomplish.
You need:
PyCharm Pro
Create and format SSH keys
Config your Compute Engine instance with the SSH keys
Configure PyCharm
You can follow this tutorial that I wrote.
I've just started learning network developing using Flask. According to its official tutorial:
Externally Visible Server
If you run the server you will notice that the server is only
accessible from your own computer, not from any other in the network.
This is the default because in debugging mode a user of the
application can execute arbitrary Python code on your computer.
If you have the debugger disabled or trust the users on your network,
you can make the server publicly available simply by adding
--host=0.0.0.0 to the command line:
flask run --host=0.0.0.0
This tells your operating system to listen on all public IPs.
However, when I try to access 0.0.0.0:5000 on another device, I got an error: ERR_CONNECTION_REFUSE. In fact, I think this behavior is reasonable, since people all around world can use 0.0.0.0:5000 for different testing purposes, but isn't the tutorial implying that adding --host=0.0.0.0 can make my webpage "accessible not only from your own computer, but also from any other in the network"?
So, my question is:
What does adding --host=0.0.0.0 do?
How can I access my webpage on device B while the server is running on device A?
You don't access the Flask server on another computer by going to 0.0.0.0:5000. Instead, you need to put in the IP address of the computer that it is running on.
For example, if you are developing on a computer that has IP address 10.10.0.1, you can run the server like so:
flask run --host=0.0.0.0 --port=5000
This will start the server (on 10.10.0.1:5000) and listen for any connections from anywhere. Now your other device (say, on 10.10.0.2) can access that server by going to http://10.10.0.1:5000 in the browser.
If you don't have the host=0.0.0.0, the server on 10.10.0.1 will only listen for connections from itself (localhost). By adding that parameter, you are telling it to listen from connections external to itself.
I'm currently trying out the Django framework and I would share/present/show some stuff I've made to my workmate/friends. I work in Ubuntu under Win7 via VMware. So my wish/desire is to send my current pub-IP with port (e.g http://123.123.123.123:8181/django-app/) to my friends so they could test it.
the Problem is - I use django's Dev server (python /path-to-django-app/manage.py runserver $IP:$PORT).
How do I make the devserver public?
EDIT:
Oh, there's something I forgot to mention. As I sad I use VMware with Ubuntu. I have a shellscript that returns me my current int-IP 192.168.xx.xx and saves it in a environment-variable ($CUR_IP)
So, each time I want to run django's devserver I simply execute
python /path-to-django-site/manage.py runserver $CUR_IP:8080
At this way I become an http-adress (e.g.http://192.168.40.145:8080/app-name/) which I CAN USE OUTSIDE my virtual machine. I could test it on my host (win7) machine. That's actually the reason why I asked the question. I thought there's a way to use the ext-IP and make runserver usable outside too
python manage.py runserver 0.0.0.0:8181
This will run development server that should listen on all IP's on port 8181.
Note that as of Jun 17, 2011 Django development server is threaded by default (ticket #1609).
From docs:
Note that the default IP address,
127.0.0.1, is not accessible from other machines on your network. To
make your development server viewable
to other machines on the network, use
its own IP address (e.g. 192.168.2.1)
or 0.0.0.0.
Assuming you have ruby installed, you just have to get localtunnel:
gem install localtunnel
then start your python development server with:
python manage.py runserver 0.0.0.0:8000
in another shell, start localtunnel:
localtunnel -k ~/.ssh/id_rsa.pub 8000
That will output an url to access your local server.
Port 8000 is now publicly accessible from http://xxxx.localtunnel.com
That's it.
192.168.*.* is a LAN-private address -- once you've done the proper VMWare (or other VM manager) and firewall incantations to make it accessible from the LAN, it still won't be accessible from outside the LAN, i.e., from the internet at large (a good thing too, because such development servers are not designed for security and scalability).
To make some port of a machine with a LAN-private IP visible to the internet at large, you need a router with a "virtual servers" ability (many routers, even cheap ones, offer it, but it's impossible to be specific about enabling it since each brand has its own idiosyncratic way). I would also recommend dyndns or other similar service to associate a stable DNS name to your always-varying public IP (unless you're splurging for a static IP from your connectivity provider, of course, but the latter option is becoming costlier all the time).
superuser.com or serverfault.com may provide better answers and details (once you give every single little detail of your configuration in a question) since the question has nothing much to do with software development and everything to do with server administration and configuration.
I had to add this line to settings.py in order to make it work (otherwise it shows an error when accessed from another computer)
ALLOWED_HOSTS = ['*']
then ran the server with:
python manage.py runserver 0.0.0.0:9595
Also, make sure that your firewall allows communication to the chosen port (9595 in this case)
Already answered but adding npm alternate of same localtunnel
sudo npm install -g localtunnel
lt --port 8000 --subdomain yash
If you are using Virtualbox, You need to change the network setting in VB from "NAT" to "Bridged Adaptor". Then restart the linux. Now if you run sudo ifconfig you are able to see your IP address like 192.168.*.* . The last step is runserver
python manage.py runserver 192.168.*.*:8000
Cheers!
You need to configure bridged networking in VMWare and also grant access to the target port in Ubuntu firewall.
Alternatively, you can use cotunnel, Just run cotunnel in your ubuntu (in VMware) change your tunnel port in cotunnel dashboard which port you are using in local side. It gives public url and you can share the url with your friends.
Your Django server can listen to 127.0.0.1 or 0.0.0.0 (I prefer 0.0.0.0) it does not matter for cotunnel.
Might I suggest trying something like pyngrok to programmatically manage an ngrok tunnel for you? Full disclosure, I am the developer of it. Django example here, but it's as easy as installing pyngrok:
pip install pyngrok
and using it:
from pyngrok import ngrok
# <NgrokTunnel: "http://<public_sub>.ngrok.io" -> "http://localhost:8000">
http_url = ngrok.connect(8000)
No messing with ports or firewalls or IP addresses, and now you can also inspect the traffic (which is useful since what you're doing here is ongoing development, not running a prod-ready server).