Requirements
To use PyScripter with remote files your computer need to have SSH client capabilities at the computer running PyScripter and an SSH server running on the remote computer. SSH is a widely used network protocol for securely connecting to remote machines. Windows 10 since the April 2018 update includes SSH. With earlier versions of Windows 10 you need to manually enable SSH through "Enable Optional Features". For other versions of Windows you can install the latest version of OpenSSH for Windows using the provided installation instructions.Configuring the SSH client side
Pyscripter requires password-less authentication using rsa keys. You need to create the rsa keys and add them to the ssh-agent service which needs to be running. Your public key needs to be added to the ~/.ssh/authorised_keys file on the server side. Instructions are provided here.
Configuring the SSH server side
net start sshd
net start ssh-agent
commands. You can also configure these services to run automatically.
Testing the SSH connection
From a command prompt issue the following command:ssh username@hostname
where username
is the user name on the server side and host name is the IP address of the
SSH server. If this works and you see the server shell, then
PyScripter is ready to use the Server.
Opening remote files
You can open remote files using the File Menu. You are then shown the Open Remote File dialog shown below:
In this dialog box you provide the
path to the remote file and select an SSH server from a drop-down list.
You can also setup your SSH servers by pressing the button next to the SSH
server field. In PyScripter remote file names are shown in the
UNC format \\server name\filepath.
Setting up SSH Servers
In this dialog box you add remove
or modify SSH servers.
Editing SSH sever information
For each SSH server you need to
provide a Name that will be used to identify the server, as well as the user
name and host name (or IP address) that will be used to connect to the
server. You also need to provide the command that will be used to
execute Python on the server.
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