Debug COBOL code from VS Code or VSCodium.
An extension to debug or execute GnuCOBOL code. Install from VS Code Marketplace or Open VSX-Registry.
Features
- Setting breakpoints
- Continue, Stop, Restart, Step Over, Step Into, Step Out
- Variables pane, including Copy Value, Copy as Expression and Add to Watch
- Watch pane with expressions
- Code coverage
- No mainframe required
- GnuCOBOL Docker
Requirements
A COBOL-syntax extension i.e. bitlang.gnucobol
(recommended, note: the previously recommended bitlang.cobol
was split and now is intended to target MicroFocus products only), or - if you target a mainframe dialect: broadcommfd.cobol-language-support
, rechinformatica.rech-editor-cobol
or ibm.zopeneditor
installed.
Otherwise, the breakpoints will be unavailable.
Now you may choose between local and container execution environment. Or try both of them :)
Local
- GnuCOBOL
cobc
2.2+ installed.
- GNU Debugger
gdb
6.0+ installed.
Container
- GnuCOBOL Docker container up and running.
The image includes GnuCOBOL, GNU Debugger and all required dependencies needed to debug or execute your code. See an example below.
Usage
When your launch.json
config is set up, you can debug or execute your COBOL program. If you debug a Compilation Group (main- and sub- programs), you need to list sub-programs inside group
property. Here's an example:
{
"version": "0.2.0",
"configurations": [
{
"name": "COBOL debugger",
"type": "gdb",
"request": "launch",
"cobcargs": ["-free", "-x"],
"group": ["subsample.cbl", "subsubsample.cbl"]
}
]
}
Pick COBOL debugger
from the dropdown on the Debug pane in VS Code. Press the Play button or F5
to debug or Ctrl+F5
to execute.
The debugger uses C sourcecode generated by the compiler upon each debugging session. If the sourcemap isn't accurate or you see any other issues, please make a bug-report.
Code coverage
You can estimate an execution flow of your COBOL program.
Set coverage
property to true
in your launch.json
and start debugging session. Here's an example:
{
"version": "0.2.0",
"configurations": [
{
"name": "COBOL debugger",
"type": "gdb",
"request": "launch",
"cobcargs": ["-free", "-x"],
"coverage": true
}
]
}
The extension decodes the code-coverage files in gcov
format generated by the compiler.
Docker
You may debug or execute your COBOL program inside GnuCOBOL Docker container. Start the container and share your working directory by Ctrl+Shift+P
and command GnuCOBOL Docker: start
, or in the terminal:
docker run -d -i --name gnucobol -w ${workspaceRoot} -v ${workspaceRoot}:${workspaceRoot} olegkunitsyn/gnucobol:3.1-dev
docker exec -i gnucobol cobc -V
docker exec -i gnucobol gdb -v
Add docker
property to your launch.json
and start debugging session.
Here's an example:
{
"version": "0.2.0",
"configurations": [
{
"name": "COBOL debugger",
"type": "gdb",
"request": "launch",
"cobcargs": ["-free", "-x"],
"docker": "olegkunitsyn/gnucobol:3.1-dev"
}
]
}
Stop the container by Ctrl+Shift+P
and command GnuCOBOL Docker: stop
, or in the terminal:
docker rm --force gnucobol
Attaching to a running process
You may debug your COBOL program attaching to a running process. In order to achieve that, you have two options:
Local Process
Add pid
property to your launch.json
and start debugging session (you can use a input variable to help like the sample below).
Here's an example:
{
"version": "0.2.0",
"configurations": [
{
"name": "COBOL debugger attach",
"type": "gdb",
"request": "attach",
"cobcargs": ["-free", "-x"],
"pid": "${input:pid}"
}
],
"inputs": [
{
"id": "pid",
"type": "promptString",
"description": "PID to attach"
}
]
}
Remote Debugger (GDBServer)
Add remoteDebugger
property to your launch.json
.
Here's an example:
{
"version": "0.2.0",
"configurations": [
{
"name": "COBOL debugger attach",
"type": "gdb",
"request": "attach",
"cobcargs": ["-free", "-x"],
"remoteDebugger": "localhost:5555"
}
]
}
Displays application output in a separate window
Add gdbtty
property to your launch.json
. Here’s an example:
{
"name": "COBOL debugger",
"type": "gdb",
"request": "launch",
"cobcargs": [
"-free",
"-x"
],
"coverage": false,
"gdbtty": true
}
- Linux Requirements:
xterm
How to install xterm on Ubuntu:
sudo apt-get install xterm
On Linux you can see the output of the application in Vs Code itself. Add gdbtty
property with vscode
value to your launch.json
. Here is an example:
{
"name": "COBOL debugger",
"type": "gdb",
"request": "launch",
"cobcargs": [
"-free",
"-x"
],
"coverage": false,
"gdbtty": "vscode"
}
Roadmap
Your contribution is always welcome!
Troubleshooting
Add verbose
property to your launch.json
and start debugging session. In DEBUG CONSOLE
you will see complete communication log between gdb
and VS Code. Here's an example:
{
"version": "0.2.0",
"configurations": [
{
"name": "COBOL debugger",
"type": "gdb",
"request": "launch",
"cobcargs": ["-free", "-x"],
"verbose": true
}
]
}
Development
- Fork the repository.
- Clone it to your machine and open with VS Code.
- Install dependencies by
npm install
command in the terminal.
- Pick
Extension
from the dropdown on the Debug pane and press F5
. This will open new VS Code instance with your cloned extension in debugging mode.
- Follow Requirements and Usage sections above.
- In the first VS Code instance you may put breakpoints to explore the functionality.
- Stop the second VS Code instance and implement your idea in TypeScript.
- Pick
Tests
from the dropdown on the Debug pane and press F5
. Keep them green.
- Push your changes and create Pull Request to the original repository.