Files
acdl/pipelines
Jon Chery 41c3377b96 feat(P67b): lifecycle tests default to plan-only; ACDL_LIFECYCLE_MODE flag overrides to full (REQ-134)
---
ci---
project: acdl
phase: 67b
milestone: v1.12
status: execute
---
/ci---

The modules-lifecycle pipeline now defaults to plan-only (fast, no AWS
mutation, no credentials, no cost) so it runs on every PR. A CI variable
ACDL_LIFECYCLE_MODE (workflow_dispatch input 'lifecycle_mode', default
'plan') overrides to 'full' for the real apply->modify->destroy against
live AWS.

Scripts: run_lifecycle_test.sh / run_lifecycle_destroy.sh /
run_l2_lifecycle_test.sh / run_l2_lifecycle_destroy.sh read the flag and
dispatch to --plan-only (plan mode) or --apply/--destroy (full mode).
Destroy is a no-op exit 0 in plan mode (nothing was applied). VPC-output
injection is gated on full mode.

Workflows: both .github + .gitea (byte-identical) expose lifecycle_mode
as a workflow_dispatch input (choice: plan/full), pass it via env:
ACDL_LIFECYCLE_MODE to every lifecycle step, skip ci-vpc-apply +
ci-vpc-destroy + Read-CI-VPC-outputs in plan mode, and run the lifecycle
+ l2-lifecycle jobs with if: always() so they execute (plan-only) even
when ci-vpc-apply is skipped.

Contract + schema: pipelines/modules-lifecycle.yml gains default_mode:
plan; the schema accepts default_mode (enum plan|full) and a richer
workflow_dispatch inputs shape.

Tests: 14 new tests in test_lifecycle_mode_flag.py (script dispatch) +
10 new tests in TestModulesLifecyclePipeline (workflow flag wiring,
byte-identity, plan-mode skips). Updated test_platform_vpc_destroy to
reflect the plan-mode skip. 516 tests pass; smoke-tested plan mode on
the s3 module (--plan-only green, no AWS apply).
2026-07-29 13:16:03 +00:00
..

ACDL Pipelines

Overview

ACDL uses declarative pipeline contracts (YAML) as the single source of truth. Both Gitea and GitHub workflows implement the same contract (byte-identical). The shell runner (scripts/run_ci.sh) mirrors the CI pipeline locally so that every stage that runs in CI can be reproduced on a developer machine without a forge.

Existing Pipelines

Pipeline File Stages Triggers
ACDL CI ci.yml lint, test, check-only push/PR to main
ACDL Deploy contract.yml validate-contract, resolve-stack, terraform-plan, checkov, confidence, apply, publish-outputs, deploy-uptime, comment-outputs push/PR to main (consumer repos via workflow_call)
ACDL Modules Lifecycle modules-lifecycle.yml platform-vpc-apply, lifecycle-apply, lifecycle-modify, lifecycle-destroy, l2-lifecycle-apply, l2-lifecycle-modify, l2-lifecycle-destroy, platform-vpc-destroy PR to main + workflow_dispatch

How to Write a Pipeline

  1. YAML structure: name, environment, triggers (with push and pull_request branch arrays), runner, python_version, and a stages[] list.
  2. Each stage is an object with name, command, required (boolean), and optional install (pip install command) + description (human-readable summary).
  3. Validate the resulting YAML against schemas/pipeline.schema.json (CI) or schemas/deploy-pipeline.schema.json (deploy).

How to Wire a Pipeline

  1. Create byte-identical workflow YAMLs in .gitea/workflows/<name>.yml and .github/workflows/<name>.yml.
  2. Both workflows must implement the same stages, commands, triggers, and runner declared in the contract.
  3. scripts/run_ci.sh mirrors ci.yml locally so the same stages run without a forge.
  4. Consumer repos reference the deploy pipeline via uses: acdl/.github/workflows/deploy.yml@vX.Y.

Dependencies

  • scripts/run_ci.sh — local CI mirror that runs the ci.yml stages.
  • scripts/run_platform.sh — platform pipeline runner that implements the contract.yml stages.
  • Workflow YAMLs in .gitea/workflows/ and .github/workflows/.
  • Schemas in schemas/ (pipeline.schema.json, deploy-pipeline.schema.json).

How to Test Pipelines

  • tests/test_pipeline_contract.py — validates each pipeline YAML against its schema, asserts workflow conformance (byte-identical Gitea/GitHub workflows with the same stages/commands/triggers), and tests scripts/run_ci.sh execution against the contract.

Adding a New Pipeline

  1. Create pipelines/<name>.yml using the structure above.
  2. Create or extend the schema in schemas/ for the new pipeline shape.
  3. Create byte-identical workflow YAMLs in .gitea/workflows/<name>.yml and .github/workflows/<name>.yml.
  4. Extend scripts/run_ci.sh if a local mirror of the new pipeline is needed.
  5. Write or extend tests in tests/test_pipeline_contract.py to assert schema validity and workflow conformance.