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feat(aws): safe spin foundation — deterministic tags, owner-scoped status, group-guarded down, live interlock; tests+CI; docs (Closes #2)
Why - Prevent accidental cloud modification while enabling iterative learning. - Ensure we only touch our own resources via strict tags and owner scoping. What - Tag model: Project=cloud-starter | ManagedBy=spin | Owner=<you> | SpinGroup=<id> - Owner-scoped filters in status/down; pagination for describe_instances - Safety interlock: live requires SPIN_LIVE=1 + --apply - Down requires --group (override env exists but discouraged) - Helpful NoCredentials/ClientError messages - README: dry-run by default; env vars; live interlock; examples - Tests: dry-run JSON shape; group guard; moto-backed live round-trip - CI: pip install -e ".[test]" + pytest -q + CLI smoke Notes - “Session” tag renamed to SpinGroup for clarity; equivalent scoping boundary.
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.github/workflows/ci.yml

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name: ci
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name: CI
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on:
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pull_request:
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push:
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branches: [ main ]
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jobs:
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check:
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test:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- uses: actions/setup-python@v5
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- name: Checkout
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uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.11'
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- name: Install (editable) + test deps
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run: |
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python -m pip install -U pip
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pip install -e .[test]
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- name: CLI smoke
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run: spin --help
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pip install -e ".[test]"
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- name: Run tests
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run: pytest -q

.gitignore

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# JetBrains
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.idea/
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*.iml
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# Artifacts
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*.egg-info/

README.md

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# Cloud Starter
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A transparent learning project to practice Product Ownership and disciplined delivery.
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A transparent learning project to practice Product Ownership and disciplined delivery.
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**Product Goal:** Enable developers to self-serve a few on-demand servers for tests within minutes.
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---
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## Sprint 2 — MVP
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**Sprint Goal:** Deliver an **installable `spin` CLI** (`pip install -e .`) that exposes
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`up | status | down` (dry-run only) and define a deterministic tag model for upcoming AWS calls.
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**Sprint Goal:** Deliver an **installable `spin` CLI** (`pip install -e .`) that exposes `up | status | down`.
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By default the CLI is **dry-run** and **does not contact AWS**. Live calls only happen if **both**:
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1) you pass `--apply`, **and**
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2) the environment has `SPIN_LIVE=1`.
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This gives us a safe “seatbelt” while we learn.
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**Scope (this sprint)**
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- Single provider: **AWS** (no live API calls yet)
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- Commands: `spin up --count X`, `spin status`, `spin down` (all **dry-run** output)
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- Deterministic tags for future resources:
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### Scope (this sprint)
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- Single provider: **AWS**
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- Commands: `spin up --count X`, `spin status`, `spin down`
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- Deterministic tag model for future resources:
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- `Project=cloud-starter`
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- `ManagedBy=spin`
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- `Owner=<github-handle>`
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- `Owner=<your-handle>` (required)
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- `SpinGroup=<id>`
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**Non-goals (not in this sprint)**
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### Non-goals (not in this sprint)
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- Multi-cloud (Azure/GCP), Terraform/IaC
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- SSH/provisioners, IAM hardening
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- Autoscaling, budgets/policies beyond basic teardown
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- Monitoring/alerts
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- Real instance lifecycle (that starts next)
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- Real instance lifecycle beyond the minimal demo
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---
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## Prerequisites
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- Python **>= 3.11**
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- (For later sprints) AWS credentials & region configured (`AWS_PROFILE` or envs / `~/.aws`)
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- Default region used by `spin`: **eu-north-1** (override with `--region` or `SPIN_REGION`)
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---
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## Run tests
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```
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pytest -q
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```
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- **Owner is required:** set `SPIN_OWNER` to your handle/email
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- Default region: **eu-north-1** (override with `SPIN_REGION` or `--region`)
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- For live calls (later): configure AWS credentials (`AWS_PROFILE` or `~/.aws`)
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---
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## Quick start (dev)
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Install in a virtual environment using editable mode:
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```bash
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python -m venv .venv
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# Windows: .venv\Scripts\activate
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pip install -e .
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````
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Verify the CLI and try the dry-run commands:
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Check the CLI and try dry-run:
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```bash
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export SPIN_OWNER=@yourhandle
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spin --help
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spin up --count 2
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spin status
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**Notes**
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* All commands are **dry-run** in Sprint 2 (they print what would happen).
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* Environment overrides:
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* With no `--apply` or without `SPIN_LIVE=1`, output is JSON previews and **no AWS calls** are made.
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* `spin down` requires `--group` for destructive actions (override via `SPIN_ALLOW_GLOBAL_DOWN=1` only if you really mean it).
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---
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## Live operations (guarded; optional)
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Only when you’re ready and have credentials:
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```bash
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export SPIN_OWNER=@yourhandle
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export SPIN_LIVE=1
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spin up --count 1 --apply # touches AWS
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spin status
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spin down --group <id> --apply
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```
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---
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## Environment variables
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* `SPIN_OWNER` (required): logical owner tag.
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* `SPIN_REGION` (optional): default region (falls back to `AWS_DEFAULT_REGION` then `eu-north-1`).
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* `SPIN_DRY_RUN` (default `1`): when `1`, `status` also avoids AWS.
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* `SPIN_LIVE` (default `0`): must be `1` **and** you must pass `--apply` to perform live actions.
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* `SPIN_ALLOW_GLOBAL_DOWN` (default `0`): allow `down` without `--group` (dangerous; owner-scoped still).
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---
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## Run tests
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```bash
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pytest -q
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```
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* `SPIN_REGION` (default `eu-north-1`)
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* `AWS_PROFILE` (optional; used in later sprints)
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* `SPIN_GROUP` (default `dev`) — used in tags to group resources
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Tests cover dry-run behavior and a safe “live” flow under `moto`.
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---
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## Roadmap (high level)
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* **Sprint 2 (this sprint):** installable CLI, dry-run commands, tag model
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* **Next:** wire minimal AWS calls in `eu-north-1` using the tag schema; `status` lists instances; safe `down`
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* **Sprint 2 (this sprint):** installable CLI, dry-run commands, tag model, safety interlocks
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* **Next:** wire minimal AWS calls in `eu-north-1`; `status` lists instances; safe `down`
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## License
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MIT
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MIT

pyproject.toml

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[project]
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name = "cloud-starter"
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description = "Learning project: minimal spin CLI with up|status|down (dry-run)."
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description = "Learning project: minimal spin CLI with up|status|down (dry-run by default; live only with interlock)."
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readme = "README.md"
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requires-python = ">=3.11"
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license = { text = "MIT" }
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authors = [{ name = "Marius Trovik" }]
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keywords = ["cli", "aws", "learning", "cloud"]
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# No runtime deps yet; boto3 will come in #3.
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dependencies = []
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# We'll keep version in code:
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# Boto is needed at import time because the CLI imports the aws module.
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dependencies = ["boto3>=1.34", "botocore>=1.34"]
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# Version comes from code
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dynamic = ["version"]
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[tool.setuptools]
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spin = "cloud_starter.cli:main"
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[project.optional-dependencies]
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test = ["pytest>=8"]
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test = [
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"pytest>=8",
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"moto[boto3]>=5"
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]

requirements.txt

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boto3
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botocore
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pytest
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moto[boto3]

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