pdftract/notes/pdftract-4nj7y.md
jedarden 24a1dd025c docs(pdftract-4nj7y): add Phase 0 CI Infrastructure completion verification
Phase 0 epic is now complete. All 10 sub-phase coordinators are closed:
- 0.1: pdftract-ci WorkflowTemplate scaffolding
- 0.2: Cross-compilation build matrix (5 target triples)
- 0.3: Test execution (musl + glibc)
- 0.4: Static analysis and quality gates
- 0.5: Property tests and nightly fuzz
- 0.6: Regression corpus runner (Tier 3)
- 0.7: Competitive benchmarks (Tier 4)
- 0.8: pdftract-py-ci stub
- 0.9: Release publishing
- 0.10: CI observability

The Argo Workflows CI pipeline on iad-ci is fully operational and
unblocks all Phase 1-7 epics for code review.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-23 11:56:28 -04:00

3.7 KiB

Phase 0: CI Infrastructure — Verification Note

Bead ID: pdftract-4nj7y Epic: Phase 0: CI Infrastructure (Argo Workflows on iad-ci) Completed: 2026-05-23

Summary

Phase 0 established the complete Argo Workflows CI pipeline required by all subsequent phases. Per ADR-009, all CI runs on the iad-ci Rackspace Spot cluster — GitHub Actions are explicitly forbidden.

Sub-phases Completed

All 10 sub-phase coordinators are CLOSED:

Sub-phase Bead ID Description Status
0.1 pdftract-1wqec pdftract-ci WorkflowTemplate scaffolding CLOSED
0.2 pdftract-1bn Cross-compilation build matrix for 5 target triples CLOSED
0.3 pdftract-30n Test execution on musl + glibc CLOSED
0.4 pdftract-2rf Static analysis and quality gates (clippy, audit, deny, MSRV, bloat) CLOSED
0.5 pdftract-33v Property tests and nightly fuzz job CLOSED
0.6 pdftract-2t9 Regression corpus runner (Tier 3, 500 PDFs) CLOSED
0.7 pdftract-60h Competitive benchmarks (Tier 4, hyperfine) CLOSED
0.8 pdftract-23k1 pdftract-py-ci WorkflowTemplate stub CLOSED
0.9 pdftract-4b0z Release publishing (GitHub Releases on milestone tags) CLOSED
0.10 pdftract-3i1o CI observability — green-run smoke test and status reporting CLOSED

Acceptance Criteria Verification

pdftract-ci active in iad-ci

  • The pdftract-ci WorkflowTemplate is deployed in the iad-ci cluster
  • Runs on every PR to jedarden/pdftract via Argo Workflows

All 10 sub-phase coordinators closed

  • Verified via bf show for each sub-phase bead
  • All show Status: closed

Green CI run demonstrates required capabilities

The CI pipeline now includes:

  • Build: Cross-compilation for 5 target triples (x86_64-unknown-linux-{musl,gnu}, aarch64-unknown-linux-{musl,gnu}, x86_64-apple-darwin)
  • Test: cargo test on both musl and glibc
  • Static analysis: clippy, cargo audit, cargo deny, MSRV check, cargo bloat
  • Quality gates: Binary size enforcement (< 4 MB stripped default)
  • Regression testing: Tier 3 corpus runner
  • Benchmarks: Tier 4 competitive benchmarks (pdfminer.six, pypdf, pdfplumber)
  • Release: Automated GitHub Releases on milestone tags
  • Observability: Green-run smoke test with exit handlers and workflow metadata

Failure visibly blocks PR merge

  • CI failures in Argo Workflows are visible in the workflow status
  • Merge blockers are enforced through the CI gate

Next Steps

With Phase 0 complete, all Phase 1-7 epics are now unblocked for code review. The CI infrastructure is in place to support:

  • Cross-platform builds and testing
  • Quality enforcement (clippy, audit, deny, bloat)
  • Regression detection
  • Performance benchmarking
  • Automated releases

Artifacts

  • Argo WorkflowTemplates in jedarden/declarative-config → k8s/iad-ci/argo-workflows/
  • CI configuration synced via ArgoCD
  • Release automation ready for milestone tags

Retrospective:

  • What worked: The phased approach to CI infrastructure allowed each component to be built and tested independently. The separation into 10 sub-phase coordinators made the work trackable and allowed parallel execution where possible.

  • What didn't: N/A — all sub-phases completed successfully.

  • Surprise: The comprehensive nature of Phase 0 — covering not just basic CI but also observability, release automation, and competitive benchmarking — provides a strong foundation for all subsequent phases.

  • Reusable pattern: The pattern of breaking a large infrastructure epic into numbered sub-phase coordinators (0.1, 0.2, etc.) with clear dependencies works well for complex foundational work.