Octo pipeline
Project description
Octo Pipeline
The Octo pipeline gives the ability to work both with an actual pipeline such as jenkins / github actions etc and locally on a machine
The pipeline consists of the following abbreviations:
- Backend - Some backend that can execute actions
- Action - An action that needs to happen on the backend, such as consume, build
- Pipeline - A set of actions that run on different backends
- Workspace - A set of pipelines with dependencies between them
Each component above can be controlled via the octo executable
Installing
The pipeline requires Python 3.8+
In order to install octo-pipeline, you can install it directly from pypi:
pip3 install octo-pipeline-python
Do notice that we use "extras" for our pipeline, each sub library of the pipeline is a specific backend that you can choose to install or not Choosing "all" will install the pipeline along with all the backends
pip3 install install octo-pipeline-python[all]
Once the above is done, the pipeline should be installed along with all the dependencies on the machine
You can remove the pip.conf if you don't want to use the index anymore
Enable AutoComplete
Auto-completion for CLI arguments can be enabled as described in the argcomplete#zsh-support package which is part of the requirements for octo.
Source the following in your .bashrc
or .zshrc
:
eval "$(register-python-argcomplete octo)"
Pipeline Description
The pipeline is defined by a yaml file and an optional yaml parameters file
The main pipeline yaml file can look for example as following
name: curlpp
scm: https://github.com/jpbarrette/curlpp.git
version: 0.8.1
maintainers:
- jpbarrette
pipeline:
- source:
backend: git
surroundings:
- jenkins
- local
- consume:
backend: conan
surroundings:
- jenkins
- local
- build:
backend: conan
surroundings:
- jenkins
- local
- install:
backend: conan
surroundings:
- local
- package:
backend: conan
surroundings:
- jenkins
- on-demand
This will define a pipeline for the repository, and will run the actions sequential
Each action is defined by a set of backends it needs to run on
Each backend can define the actions it supports accordingly
We can also supply a "name" to the action such that:
- build:
name: build-win
backend: golang
surroundings:
- jenkins
- on-demand
- build:
name: build-linux
backend: golang
surroundings:
- jenkins
- on-demand
So that we can support multiple actions of the same type for different use cases
Lasty, each action can define on which surroundings it can run on
Currently the supporting surroundings are
- jenkins
- local
- on-demand
- workspace
Along with the above file, you can define parameters for different backends by either specifiying backends key on the pipeline yaml file, or defining a backends.yml file
The backends yaml file can look as follows
git:
head: v0.8.1
conan:
artifactory: https://jfrog.com
configurations:
- debug
- release
For each backend you will define a set of parameters that may or may not be used
If a specific action settings need to apply, or settings for a platform, this can be done as follows:
golang:
actions:
build-win:
- platform: linux
settings:
env:
GOOS: windows
GOARCH: amd64
GO111MODULE: "on"
CC: i686-w64-mingw32-gcc
CXX: i686-w64-mingw32-g++
entrypoints:
- cmd/provision_win.go
- cmd/deprovision_win.go
Notice that we can use "build" or "build-win" as action type or action name to define settings for our specific action Those settings are only applied on the linux platform
Working with the pipeline
Once the pipeline is installed, you can either clone a repository of an existing pipeline and work on ur own
Or u can use the pipeline to help you out
For example, if you wish to work "curlpp" existing pipeline, you could perform the following command
octo pipeline init --org=pas --name=curlpp
The above will try and find inside pas organization the repository, check if it has a pipeline and clone it accordingly
Once the above is done, you can execute the pipeline for that component by running
octo pipeline execute
This will trigger the pipeline defined for the component
You could also run specific actions by running the following
octo pipeline execute-action consume
And lastly, you could run the pipeline step by step and control the flow on ur own
This can be done by using the following commands in a queue style
octo pipeline step next
octo pipeline step previous
octo pipeline step current
octo pipeline step execute
octo pipeline step clean
octo pipeline step reset
All of the above will control each step you are running on
All of the pipeline actions can be listed with --help:
usage: octo.py pipeline [-h]
{init,execute,describe,describe-actions,clean,name,version,build_number,scm,execute-action,clean-action,step}
...
positional arguments:
{init,execute,describe,describe-actions,clean,name,version,build_number,scm,execute-action,clean-action,step}
init Initializes the pipeline backends and working directory
execute Executes the entire pipeline actions
describe Prints out a detailed description of the pipeline
describe-actions Prints out the list of actions on the pipeline
clean Cleans up all the actions that ran so far
name Prints out the name of the pipeline
version Prints out the version of the pipeline
build_number Prints out the build number of the pipeline
scm Prints out the scm of the pipeline
execute-action Executes a specific type of action
clean-action Cleans up a specific type of action
step Step execution of the pipeline
optional arguments:
-h, --help show this help message and exit
Working with a specific backend
You can execute specific backend operations such as authentication
The backend is responsible for keeping the state of authentication if working via the CLI
If you wish to authenticate to a backend, you may run
octo backends conan authenticate --username=john --secret=john --certificate="/path/to/cert"
You may also add a target argument if you wish to authenticate to a specific resource in the backend
You may execute other operations on the backed as described in the help
usage: octo backends conan [-h] {authenticate,describe,working-dir,get} ...
positional arguments:
{authenticate,describe,working-dir,get}
authenticate Authenticate to a backend
describe Prints out a description of the backend
working-dir Prints out the working directory of the backend
get Gets a specific key from the context of the backend
optional arguments:
-h, --help show this help message and exit
Working with a workspace
A workspace is a set of pipelines that can run in certain order
The workspace is defined by a yaml that can look similar to the following
name: coolspace
scm: git@github.com
organizations:
- coolorg
workspace:
- 3rdparties:
- curlpp
- nlohmann-json
- stduuid
- aws-sdk-cpp
- core:
- graphics
- logger
Where you can define which organizations in the scm to look for the repo
And define the workspace layout, and who depends on who
Along with that, you may also define settings that can propogate to the pipelines in a workspace level
Those settings can be divided by system
The workspace can be initialized by running the following command
octo workspace init --org=pas --name=coolorg-ws
This will try to find the workspace and clone it, and along with it, clone the entire actual workspace definition
If you do not wish to also sync the workspace on init, add --no-sync
And you can later run the sync yourself with
octo workspace sync
Afterwards, you may choose to run any of the following commands
octo workspace execute all
octo workspace execute-action all build
octo workspace execute 3rdparties
octo workspace execute graphics
octo workspace execute-action graphics build
octo workspace clean all
octo workspace clean-action all build
octo workspace clean 3rdparties
octo workspace clean graphics
octo workspace clean-action graphics build
octo workspace describe
The above commands can execute the entire workspace pipeline, specific pipeline based on the workspace yml, or cleanup accordingly
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