Skip to main content

ol-concourse-lib

A Python DSL for programmatically building Concourse CI/CD pipelines.

Instead of writing YAML files by hand, use typed Python classes to construct type-safe pipeline definitions that serialize to valid Concourse pipeline YAML.

Installation

pip install ol-concourse-lib
# or with Pulumi job builder support:
pip install "ol-concourse-lib[pulumi]"

Quick Start

from ol_concourse.lib.models.pipeline import Identifier
from ol_concourse.lib.resources import git_repo, registry_image
from ol_concourse.lib.resource_types import packer_build
from ol_concourse.lib.jobs.infrastructure import packer_jobs
import yaml, json

# Build a pipeline fragment for packer AMI builds
code = git_repo(
    name=Identifier("packer-templates"),
    uri="https://github.com/myorg/packer-templates",
    branch="main",
)

fragment = packer_jobs(
    dependencies=[],
    image_code=code,
    node_types=["web", "worker"],
)

pipeline = fragment.to_pipeline()
print(yaml.dump(json.loads(pipeline.model_dump_json())))

API

Models (ol_concourse.lib.models)

  • Pipeline — root pipeline definition
  • Job, Resource, ResourceType — core pipeline components
  • GetStep, PutStep, TaskStep, InParallelStep — step types
  • TaskConfig, Command, Input, Output — task configuration
  • PipelineFragment — composable pipeline unit

Builder Functions

Module Functions
ol_concourse.lib.resources git_repo, registry_image, github_issues, schedule, s3_object, …
ol_concourse.lib.resource_types packer_build, packer_validate, pulumi_provisioner_resource, github_issues_resource, github_deployments_resource, release_resource_type, …
ol_concourse.lib.jobs.infrastructure packer_jobs, pulumi_jobs_chain, pulumi_job
ol_concourse.lib.containers container_build_task
ol_concourse.lib.notifications notification (Slack)
ol_concourse.lib.tasks instance_refresh_task, block_for_instance_refresh_task

Regenerating Pipeline Models

models/pipeline.py is generated from the Concourse pipeline JSON schema:

pip install datamodel-code-generator
datamodel-codegen \
    --url https://raw.githubusercontent.com/nicholasdille/concourse-jsonschema/main/concourse.json \
    --output src/ol_concourse/lib/models/pipeline.py \
    --output-model-type pydantic_v2.BaseModel

License

BSD-3-Clause — Copyright MIT Open Learning

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ol_concourse-0.16.0.tar.gz (66.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ol_concourse-0.16.0-py3-none-any.whl (58.9 kB view details)

Uploaded Python 3

File details

Details for the file ol_concourse-0.16.0.tar.gz.

File metadata

  • Download URL: ol_concourse-0.16.0.tar.gz
  • Upload date:
  • Size: 66.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.14.6

File hashes

Hashes for ol_concourse-0.16.0.tar.gz
Algorithm Hash digest
SHA256 25733411a8b4c51ed17ad8959e200f7bdc20c95c54075169ee0104e5fffa68e3
MD5 0d8fd97483008c595111b7e11dbc44f0
BLAKE2b-256 e0f4f47257ed65ebac3a5e848914074b9cf6bce849cd7c8ce269674a71adfb17

See more details on using hashes here.

File details

Details for the file ol_concourse-0.16.0-py3-none-any.whl.

File metadata

  • Download URL: ol_concourse-0.16.0-py3-none-any.whl
  • Upload date:
  • Size: 58.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.14.6

File hashes

Hashes for ol_concourse-0.16.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d97d4a8d012c0df4d9d3555e5cb4079abbe1f2ab7ccb9cfe583de8b33b23562e
MD5 dd8c5d5a7dc504072b2ac87caced3aae
BLAKE2b-256 57188d92dfceddd057ad7bebb9cd3f1a630716ad81f9868d3b998e45dc71731e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page