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- Introduce mode-scoped directories under `~/.prole` for build contexts, runtime data, and versioning. - Update DB image version generation and Dockerfile creation to respect deployment modes (e.g., k3d, k3s, k8s). - Adjust UI, core actions, and scripts to avoid cross-mode conflicts and ensure correct version isolation. - Add tests for mode-aware behaviors and update existing tests for new paths and markers. - Bump PostgreSQL and image versions to `18` and `138`, respectively. - Update Kubernetes manifests to align with new image and version configuration. |
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|---|---|---|
| .. | ||
| argocd | ||
| manifests | ||
| main.tf | ||
| opentofu.auto.tfvars | ||
| README.md | ||
| terraform.tfstate | ||
| variables.tf | ||
OpenTofu k3s Pipeline
This pipeline re-deploys the Prole environment into a k3s cluster using OpenTofu.
Usage
- Ensure
opentofu.auto.tfvarsis populated (install.py will generate it). - Sync manifests into
deploy/opentofu/k3s/manifests. - Run:
tofu init
tofu plan
tofu apply
Files
main.tf: Applies Kubernetes manifests with the configured namespace.variables.tf: Pipeline inputs (server URL, token, namespace).opentofu.auto.tfvars: Auto-generated values from Prole install/config.manifests/: Copy ofk8s/manifests to re-deploy.