Complete Phase 1 ingestion. Add a least-privilege IAM user
(apm-wo-drop-uploader) to the pipeline stack, scoped to s3:PutObject
on the raw/ prefix only — the local launchd uploader authenticates as
this user via a dedicated profile, so a laptop credential leak cannot
read, list, or touch the analytics data.
Replace the scaffold uploader stub with the hardened stampli-pattern
script (lockfile, logging, timestamped archive, notifications, settle
delay) and align names to the convention (~/apm-wo-drop, ~/.local/bin,
com.seahaven.apm-wo-uploader). The plist sets PATH/HOME because launchd
runs with a stripped environment and otherwise cannot find aws.
The exports bucket already shipped in the Phase 0 scaffold, so the code
delta here is the uploader identity and tooling.
Stand up the Phase 0 CDK scaffold for the daily APM work-order
analysis pipeline: two-stack CDK app (pipeline + grafana), classifier
and slack-post Lambda packages, dashboards-as-code, the local
drop-folder uploader, and a classifier smoke-test placeholder.
Wire CI/CD to the org reusable workflows: ci.yaml -> ci-python-sam
(ruff + cdk synth) and deploy.yaml -> cd-cdk (OIDC, cdk deploy --all).
Pin aws-cdk-lib==2.253.1; Lambdas target Python 3.12 / arm64.
Rewrite .gitignore to the org Python-CDK standard so the source-of-
truth files (CLAUDE.md, docs/, .claude/agents) are tracked while build
artifacts (.venv, cdk.out, caches) stay ignored.
Domain logic, stack resources, and dashboards are stubbed and filled
in across Phases 1-5 (docs/BUILD.md). cdk synth is green for both
stacks; ruff check/format pass.
