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kevinveenbirkenbachandClaude Opus 4.8
c76c6da6a8
svc-storage-nfs-server gains a backend flavor selected by services.nfs-server.flavor (default "{{ 'ganesha' if RUNTIME in ['dev','act'] else 'kernel' }}"). The ganesha flavor installs nfs-ganesha + FSAL_VFS and renders /etc/ganesha/ganesha.conf (NFSv4, Pseudo == Path so clients mount the real paths unchanged, Root_Squash on the export base and No_Root_Squash on the state subdir), reloaded via systemctl restart. It runs in the dev/act DinD swarm-test, where the host kernel nfsd is not network-namespaced and a privileged node driving exportfs would wedge it into a D-state. The kernel flavor keeps nfs-kernel-server + exportfs -ra for production and every non-dev/act runtime. 01_core dispatches on the flavor, 03_prepare holds the shared export preparation, flavor/{kernel,ganesha}/main.yml hold the per-backend install/render/service steps, and handlers gains the ganesha restart.
docs/agents/action/iteration: role.md renamed to compose.md (Compose Loop); new swarm.md for the swarm deploy loop split out of workflow.md; workflow.md trimmed to GitHub Actions workflow iteration; all cross-references updated; the duplicated README gotcha removed; the NFS gotcha rewritten to the ganesha design.
Also drops a retired-flag history comment in group_vars/all/01_modes.yml and a redundant comment in the init selection script, and allows WebFetch(repology.org) used during ganesha packaging research.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
48 lines
2.0 KiB
Markdown
48 lines
2.0 KiB
Markdown
# Requirements 📋
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Requirements live under `docs/requirements/` and define what the project must do.
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Their primary purpose is to drive AI-agent-assisted development: a contributor creates a requirement file and then instructs the agent to iterate by following [requirements.md](../agents/action/requirements.md) and [Compose Loop](../agents/action/iteration/compose.md), continuing until every Acceptance Criterion is fulfilled.
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Creating a requirement is **not mandatory** to work on a task.
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For normal work items, bugs, or feature requests, use the project tools directly:
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- Internal planning and work items: [project.infinito.nexus](https://project.infinito.nexus/)
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- Bug reports and feature requests: [s.infinito.nexus/issues](https://s.infinito.nexus/issues)
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Writing a requirement file is RECOMMENDED when you want an AI agent to autonomously implement and validate a feature end to end, because it gives the agent a structured, checkable definition of done.
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## File Naming
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Every requirements file MUST follow the pattern `NNN-topic.md`, where `NNN` is a zero-padded three-digit sequence number (e.g. `000-template.md`, `001-auth.md`).
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## File Structure
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Every requirements file MUST follow this template exactly:
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```markdown
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# NNN - Title
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## User Story
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As a <role>, I want <goal> so that <benefit>.
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## Acceptance Criteria
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- [ ] Criterion one.
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- [ ] Criterion two.
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```
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- The **User Story** MUST follow the "As a / I want / so that" format.
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- Each **Acceptance Criterion** MUST be written as a Markdown task list item (`- [ ]`).
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- Criteria MUST be independently verifiable, with one observable outcome per item.
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- Completed criteria MUST be checked off (`- [x]`) once the corresponding work is merged.
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## Cross-linking
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- You MUST cross-link from the requirement to any PR or issue that implements it.
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- You MUST cross-link from the implementing PR template back to the requirement file.
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## See Also
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- How agents process requirements: [requirements.md](../agents/action/requirements.md)
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