pdum.aws

AWS utils

Installation

Install using pip:

pip install habemus-papadum-aws

Or using uv:

uv pip install habemus-papadum-aws

Usage

Nothing here hardcodes a profile, region, or account. Credentials come from boto3's own resolution, so you pick an account the standard way:

AWS_PROFILE=my-account python -m my_script

Identity

from pdum import aws

print(aws.whoami()["Account"])
ssm = aws.client("ssm")

Secrets

A SecretStore is a layered view of SSM Parameter Store, built from a search path of prefixes — most specific first, like project/user/system config files. Reads check the environment, then each prefix in order; writes and deletes target the first prefix only, so a project stores what is its own and inherits the rest from shared layers. The path is required — a shared default would let unrelated projects collide in one namespace.

from pdum.aws.secrets import SecretStore

store = SecretStore("/myapp/:/org/")
store.put("STRIPE_KEY", "sk_live_...")   # written to /myapp/STRIPE_KEY
store.get("GOOGLE_CLIENT_ID")            # falls back to /org/GOOGLE_CLIENT_ID
store.names()                            # union across layers, deduplicated

The project environment, from a script

load_env() builds the same environment pdx would hand a command, for a script that was not launched under it. Use it where you would otherwise call dotenv.load_dotenv():

from pdum.aws import load_env

load_env()   # os.environ now carries the project's variables and its secrets

It does strictly more than load_dotenv: the same .env handling, plus the .env.local overlay, plus the secrets on the SSM search path that the .env usually names. Three layers, most specific first — what is already set, then the files, then the store — with the files applied before the store is opened, because that is where AWS_PROFILE lives.

Nothing runs on import; you decide when. The call returns a report of what each layer contributed, raises NoSearchPath rather than quietly skipping the secrets, and takes environ= if you want an environment computed without touching this process's own:

report = load_env(environ={})            # nothing is applied to os.environ
report.secrets.applied                   # ['API_KEY', 'DATABASE_URL']
report.env_files.already_set             # names the caller had already set

Service quotas

A fresh AWS account can launch almost nothing — typically 5 vCPUs of standard on-demand EC2 and zero of every accelerator family. These helpers report on that and request increases, returning data rather than printing so callers own presentation.

from pdum.aws import quotas

for status in quotas.report(quotas.EC2_VCPU_TARGETS, region="us-east-1"):
    print(status.target.label, status.current, status.state)

results = quotas.submit(quotas.EC2_VCPU_TARGETS, region="us-east-1")

submit is idempotent: quotas already satisfied, or already carrying an open request, are skipped rather than resubmitted. It stops cleanly when the account hits its undocumented cap of ~20 simultaneously open requests, so the workflow is submit, wait for cases to be decided, submit again.

Command line

Installing the package provides pdum-aws. There is deliberately no --profile flag — pick an account the standard way, so this behaves like every other AWS tool on the box.

AWS_PROFILE=my-account pdum-aws whoami

Secrets

The search path has no default. Pass --path or set PDUM_SSM_PATH once — one or more prefixes, colon-separated, most specific first.

export PDUM_SSM_PATH=/myapp/:/org/

pdum-aws secrets list                  # names only
pdum-aws secrets list --long           # type, version, last modified
pdum-aws secrets get API_KEY           # value alone, safe to pipe
printf %s 'sk_live_...' | pdum-aws secrets set API_KEY -
pdum-aws secrets rm API_KEY
pdum-aws secrets import .secrets --dry-run
pdum-aws secrets export

Reads fall back along the path; set, rm and import touch only the first prefix, and rm refuses a name living solely in a fallback layer rather than reaching down (list --long shows each secret's origin). set reads stdin when the value is omitted or given as -; prefer that, since a value passed as an argument lands in your shell history. import refuses to push AWS bootstrap keys (AWS_ACCESS_KEY_ID, AWS_PROFILE, …) — storing the credentials you need in order to reach the store would be circular.

Quotas

pdum-aws quotas status  --region us-east-1 --region us-west-2
pdum-aws quotas history --region us-east-1        # what AWS decided
pdum-aws quotas request --region us-east-1 --dry-run
pdum-aws quotas request --region us-east-1

--region is repeatable; omit it to use whatever the environment resolves. quotas targets prints the bundled EC2 plan as JSON so you can edit it and pass it back with --targets:

pdum-aws quotas targets > my-targets.json
pdum-aws quotas request --targets my-targets.json

Do not infer a quota's value from its request status. AWS also raises limits on young accounts automatically, independently of any request — quotas status shows the applied value, which is the number that matters.

Running a command with the secrets loaded

Installing the package also provides pdx, which puts a project's secrets in the environment and hands the process over to a command:

pdx npm run dev
pdx python -m my_service --port 8080
pdx -- ls -la

pdx takes no options of its own. Everything after the name is the command to run, so none of its flags can ever be mistaken for one of pdx's, and -- is available but never required. The single exception is a leading --help, which click reserves; pdx python --help still reaches Python.

Configuration therefore comes entirely from the environment, in three layers, most specific first:

1. the environment you already have — never overwritten, so STRIPE_KEY=sk_test_... pdx ./run-tests overrides for that one run, and a CI job's injected variables are never undone;
2. the nearest .env, overlaid with an adjacent .env.local, searched for upward from the working directory, so pdx works from anywhere inside a project;
3. the SSM store, on the search path named by PDUM_SSM_PATH.

The whole .env is loaded, not just the search path — and it is applied before the store is opened, because that is where the credentials for reaching the store live:

# .env, at the top of the project — committed
AWS_PROFILE=team-account
AWS_REGION=us-east-1
PDUM_SSM_PATH=/myapp/:/org/

# .env.local, beside it — gitignored, yours alone
AWS_PROFILE=my-sandbox

Only .env is searched for; the overlay is taken from beside whatever was found, never searched for separately, so one directory always wins and there is never a question of which .env.local applies. A .env.local with no .env to anchor it is therefore ignored. The two are parsed as one document rather than merged as two, so BUCKET=assets-${STAGE} in the local file can refer to a STAGE defined in the committed one.

Values are interpolated, as any other .env consumer would, so BUCKET=assets-${STAGE} works. (secrets import deliberately does not interpolate: those values are going into permanent storage, where a silently expanded ${...} cannot be recovered.)

Because the file is a layer above the store, a name set in .env wins over the same name in SSM — which is how you override one secret locally without touching the shared store.

The handover is a real execvp, not a subprocess: the command keeps pdx's PID, so signals, job control, exit status and the terminal belong to it directly, with nothing left in the middle to forward them. It inherits the environment all three layers built up.

pdx is a thin command around load_env() — a Python script wanting the same environment should call that directly rather than shelling out.

pdx-doctor shows what that adds up to without running anything:

$ pdum-aws pdx-doctor
.env /work/myapp/.env + .env.local
  sets AWS_PROFILE, AWS_REGION, PDUM_SSM_PATH
  kept from the environment SHARED
search path /myapp/:/org/  (from /work/myapp/.env)
NAME      LAYER    PDX WOULD
API_KEY   /myapp/  set it
ORG_ONLY  /org/    set it
SHARED    /myapp/  keep the environment's
  2 to set it, 1 to keep the environment's

It answers what secrets list cannot, because the questions are about this process rather than about the store: which .env was found and what it contributed, which search path resolved and from where, and which names your environment already holds — the reason a program run under pdx can see a value that is not the one in SSM. It reports names and origins only, never values, and never decrypts; use secrets get for a value.

Embedding these commands in your own CLI

Each group is produced by a factory, so another application can mount the same commands under its own name — carrying its own defaults, rendering through its own console. That is how you give an app a secrets subcommand without asking its users to type a search path:

import typer
from rich.console import Console

from pdum.aws.cli import add_whoami, aws_errors, build_quotas_app, build_secrets_app

console = Console()

app = typer.Typer(help="acme — the whole product.", no_args_is_help=True)
add_whoami(app, console=console)
app.add_typer(
    build_secrets_app(console=console, default_path="/acme/:/org/", envvar="ACME_SSM_PATH"),
    name="secrets",
)
app.add_typer(
    build_quotas_app(console=console, default_targets=ACME_TARGETS, default_regions=["us-east-1"]),
    name="quotas",
)


def main() -> None:
    with aws_errors(console):
        app()

acme secrets list now works bare, and acme secrets --help shows [default: /acme/:/org/] and [env var: ACME_SSM_PATH] rather than this library's. The search path resolves in order: --path, then the environment variable named by envvar, then default_path, then an error. Pass a zero-argument callable as default_path when the host reads it from a config file and wants that read deferred to invocation, or expose_path_option=False to drop the flag and pin the namespace.

build_quotas_app takes default_service, default_targets (a list or a callable) and default_regions on the same terms, plus show_service_option / show_targets_option to keep flags out of --help that a host's users have no business changing. Both factories accept store_factory / default_targets callables as the seam for host configuration — e.g. store_factory=lambda prefix: SecretStore(prefix, region=cfg.region).

pdx and pdx-doctor attach the same way, as single commands rather than groups, and take the same default_path / envvar / env_file arguments:

from pdum.aws.cli import add_pdx, add_pdx_doctor

add_pdx(app, default_path="/acme/:/org/", envvar="ACME_SSM_PATH")
add_pdx_doctor(app, console=console, default_path="/acme/:/org/", envvar="ACME_SSM_PATH")

Give add_pdx a console that writes to stderr — the default does. Its stdout belongs to the program it execs, and a diagnostic printed there would corrupt that program's output the moment anyone piped it.

Two details worth knowing. aws_errors is the wrapper that turns an expired SSO session into one readable line instead of a botocore traceback; wrap your entry point in it to get the same treatment. And the groups keep their per-invocation state in ctx.meta under namespaced keys rather than in ctx.obj, so mounting them never disturbs what your own callback stores there — a host command can reach both, via pdum.aws.cli.secrets.store_from(ctx) and ctx.obj.

Development

This project uses UV for dependency management.

Setup

# Install UV if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh

# Clone the repository
git clone https://github.com/habemus-papadum/pdum_aws.git
cd pdum_aws

# Provision the entire toolchain (uv sync, pre-commit hooks)
./scripts/setup.sh

Important for Development:

• ./scripts/setup.sh is idempotent—rerun it after pulling dependency changes
• Use uv sync --frozen to ensure the lockfile is respected when installing Python deps

Running Tests

# Run all tests
uv run pytest

# Run a specific test file
uv run pytest tests/test_example.py

# Run a specific test function
uv run pytest tests/test_example.py::test_version

# Run tests with coverage
uv run pytest --cov=src/pdum/aws --cov-report=xml --cov-report=term

Code Quality

# Check code with ruff
uv run ruff check .

# Format code with ruff
uv run ruff format .

# Fix auto-fixable issues
uv run ruff check --fix .

Documentation

# Serve documentation locally (auto-reloads on changes)
uv run mkdocs serve

# Build documentation
uv run mkdocs build

# Test demo notebooks (if you have notebooks in docs/demos/)
./scripts/test_notebooks.sh

Important: After making any changes to demo notebooks, run ./scripts/test_notebooks.sh to verify they execute without errors.

Building

# Build Python 
./scripts/build.sh

# Or build just the Python distribution artifacts
uv build

Publishing

# Build and publish to PyPI (requires credentials)
./scripts/publish.sh

Automation scripts

• ./scripts/setup.sh – bootstrap uv, pnpm, widget bundle, and pre-commit hooks
• ./scripts/build.sh – reproduce the release build locally
• ./scripts/pre-release.sh – run the full battery of quality checks
• ./scripts/release.sh – orchestrate the release (creates tags, publishes to PyPI/GitHub)
• ./scripts/test_notebooks.sh – execute demo notebooks (uses ./scripts/nb.sh under the hood)

License

MIT License - see LICENSE file for details.