JnsCLI

• Quick Start (Installation from Binary)
• Manual Compilation
• Features
• Usage
• Commands
  • List Jenkins Jobs
  • Run a Job
  • Abort
  • Connect
  • Alias
  • Info
  • Error
  • AI Commands
• Contributing
• License

Download the binary for your platform:

# for x86-64
wget -O jns-0.1.1-amd64 https://github.com/mirum8/jnscli/releases/download/v0.1.1/jns-0.1.1-amd64 \
&& chmod +x jns-0.1.1-amd64 && mkdir -p $HOME/.local/bin/ \
&& mv jns-0.1.1-amd64 $HOME/.local/bin/jns

# for ARM (Apple M1)
wget -O jns-0.1.1-arm64 https://github.com/mirum8/jnscli/releases/download/v0.1.1/jns-0.1.1-arm64 \
&& chmod +x jns-0.1.1-arm64 && mkdir -p $HOME/.local/bin/ \
&& mv jns-0.1.1-arm64 $HOME/.local/bin/jns

Add the binary to your PATH:

# for bash
echo "export PATH=\$PATH:$HOME/.local/bin/" >> $HOME/.bashrc && source $HOME/.bashrc
# for zsh
echo "export PATH=\$PATH:$HOME/.local/bin/" >> $HOME/.zshrc && source $HOME/.zshrc

Connect to your Jenkins server. You will be prompted to enter the server URL, username, and token:

jns connect

List Jenkins jobs:

jns list

Run a job:

jns build <jobName>

• GraalVM JDK 21

git clone https://github.com/mirum8/jnscli.git \
&& cd jnscli \
&& ./mvnw clean native:compile -Pnative \
&& mkdir -p $HOME/.local/bin/ \
&& mv target/jns $HOME/.local/bin/jns

Add the binary to your PATH:

# for bash
echo "export PATH=\$PATH:$HOME/.local/bin/" >> $HOME/.bashrc && source $HOME/.bashrc
# for zsh
echo "export PATH=\$PATH:$HOME/.local/bin/" >> $HOME/.zshrc && source $HOME/.zshrc

• Get a list of jobs
• Build a job with parameters
• Get information about a job and its builds
• Abort a running job
• Manage job aliases
• Retrieve and analyze build errors
• AI-powered error analysis

Start the CLI application and use the available commands to interact with your Jenkins server.

List all jobs on the Jenkins server:

jns list

List jobs in a specific folder:

jns list <folder>

Run a job on the Jenkins server:

jns build <jobId|jobName> [-p, --params <key=value>...] [-q, --quiet] [-l, --log] [--ai]

You can also use an ID number (prefixed by '%') from the 'list' output to start a job:

If the job already started, you can abort the previous build and start a new one (or cancel the new build):

Options:

• -q, --quiet: Run the job in quiet mode, suppressing the progress bar.

• -l, --log: Display the build log during running job.

• -p, --params <key=value>: Specify build parameters. If you don't specify required parameters, you will be prompted to enter them. To pass multiple parameters, use this flag multiple times. For example:

  jns build <jobId> \
    -p key1=value1  \
    -p key2=value2

• --ai: Analyze errors using AI if the build fails.

Abort a running job:

jns abort <jobId> [--b, --buildNumber]

Connect to the Jenkins server:

jns connect

Manage job aliases:

jns alias add <aliasName> <jobIdOrUrl> # Add an alias
jns alias rm <aliasName> # Remove an alias
jns alias ls # List all aliases

Get information about a job:

jns info <jobId> [options]

Options:

• -b, --buildNumber: Specify build number
• -s, --includeSuccess: Include successful builds
• -f, --includeFailed: Include failed builds
• -r, --includeRunning: Include running builds
• -l, --limit: Limit the number of builds (default: 3)
• -m, --my-builds: Show builds run by the current user

Get error information for the last or a specific build:

jns error <jobId> [Options]

Options:

• -b, --buildNumber: Specify build number
• -m, --myBuild: Show error for the last build run by the current user
• --ai: Analyze errors with AI

If parameters are not specified, the command will return the error information for the last failed build within the last 5 builds.

AI-powered error analysis is available for Jenkins builds. To use this feature, you need to configure the AI settings ( Ollama and OpenAI are supported as AI services):

jns ai configure

After configuring the AI settings, you can test the AI service availability:

jns ai test

Now you can use --ai parameter in the 'build' and 'error' commands to analyze build errors with AI.

Contributions are welcome! Please feel free to submit a Pull Request.

This project is licensed under the MIT License.