Taru is a simple local-first workflow-runner for unix-based systems. Taru is designed as an alternative to makefiles, shell scripts and bash aliases to store and manage local tasks and workflows. The configuration is specified through YAML files, and allows for the execution of any shell commands that can be run in your local shell environment.
-
Workflow configuration using YAML with support for injecting:
- User-defined variables
- Environment variables
-
Specify multi-depth job dependencies.
Running the application requires Rust to be installed on your system and the
installation guide requires the Cargo
package manager to be accessible on your PATH
.
Run
cargo install --git https://github.com/RasmusNygren/taru taru
Assuming that your cargo bin
directory is on your path you
can now invoke the Taru cli through taru
.
Taru is available via the rasmusnygren/taru
tap.
Run
brew tap rasmusnygren/taru
brew install taru
Usage: taru <COMMAND>
Commands:
`run` Run a job
`list` List all jobs
`help` Print this message or the help of the given subcommand(s)
Options:
`-h`, `--help` Print help
`-V`, `--version` Print version
The YAML schema currently supports jobs
and variables
as top-level keywords.
Each job is specified with a name and must include a steps
parameter where each step
must correspond to a valid shell command, but a command can also include variables
if they are specified in the variables
section. Variables are referred to by specifying the key value
inside single brackets e.g. {variable_name}
Each job also accepts
requires
as an optional parameter to specify dependencies. requires
only accepts other jobs as depdendencies
and thus only other job names are valid values.
Variables are optional and are specified using
key: value
syntax.
Variables can reference environment variables by prefixing the environment variable name with env.
.
For example, the SHELL
environment variable can be assigned to the variable name shell
using the syntax
shell: env.SHELL
jobs:
authenticate-docker-with-aws:
steps:
- aws ecr get-login-password --region eu-north-1 | docker login --username AWS --password-stdin {aws_uri}
build-lambda-amd64:
requires:
- authenticate-docker-with-aws
steps:
- docker buildx build --platform linux/amd64 -t {aws_image_tag} .
- docker tag {aws_image_tag} {aws_uri}/{aws_image_tag}
- docker push {aws_uri}/{aws_image_tag}
- aws lambda update-function-code --region eu-north-1 --function-name scrape-backend-api --image-uri {aws_uri}/{aws_image_tag} --architecture=x86_64
run-local:
steps:
echo 'Running local server as {user}.'
uvicorn --reload src/api:app
variables:
aws_image_tag: scrape-ai:latest
aws_uri: aws_account_id.dkr.ecr.eu-north-1.amazonaws.com
user: env.USER