Skip to main content

pgsesame

pgsesame

Declarative permission management for PostgreSQL and Amazon Redshift. Define roles, users, grants and ownership in YAML, then plan and apply changes like Terraform.

Status: 0.1, alpha. validate, plan, apply and change sets work for roles, users, groups, memberships and privileges on PostgreSQL and Redshift, tested against PostgreSQL 14 to 18, oblako's redshift-local and Redshift Serverless, on Python 3.10 to 3.13. Ownership (owns) and default privileges are validated but not yet planned; see the roadmap.

Why

Granting access by hand leaves a trail of GRANT statements nobody can review. pgsesame keeps the intended state in one file: changes go through pull requests, sesame plan shows exactly which statements a change needs, and sesame apply runs them. A second plan after apply is empty.

It is built on what went wrong with earlier tools (redtape for Redshift, pgbedrock for PostgreSQL): it reads the real catalog without crashing on what it doesn't model, issues only the difference instead of every grant on every run, and plans revokes and drops but applies them only when you ask.

Where it runs

PostgreSQL 14 to 18 and Amazon Redshift (provisioned or Serverless). PostgreSQL services work through the same connection: Supabase, Google's AlloyDB, Amazon RDS and Aurora, Cloud SQL, Neon; connect as the platform's admin role. Referring to a platform's built-in roles (authenticated, alloydbsuperuser, ...) without managing them, and Supabase's row-level security policies, are on the roadmap.

Install

uv tool install pgsesame               # installs the `sesame` command
uv tool install "pgsesame[redshift]"   # adds IAM credentials and the Data API for Redshift
uvx pgsesame --help                    # or try it without installing
pip install pgsesame                   # or into an environment

In CI without Python, use the image (amd64 and arm64):

docker run --rm -v "$PWD:/work" -e SESAME_DSN ghcr.io/almostly/pgsesame plan permissions.yaml

pgsesame connects the way you already do: a DSN or the standard PG* variables with a password (PostgreSQL and Redshift), temporary credentials from IAM for a Redshift cluster or Serverless workgroup, or the Redshift Data API when the database isn't reachable over the network.

A spec

version: 1
engine: redshift            # or postgres

principals:
  reader:
    type: role
    privileges:
      schemas:
        usage: [analytics]
      tables:
        select: [analytics.*]

  alice:
    type: user
    password_env: ALICE_PASSWORD
    member_of: [reader]
sesame validate permissions.yaml
sesame plan permissions.yaml       # exit code 2 when there are changes
sesame apply permissions.yaml      # revokes and drops need --allow-revoke / --allow-drop

sesame plan permissions.yaml -o changes.json   # save the plan as a change set
sesame show changes.json                       # review it, no database needed
sesame apply changes.json                      # run exactly that, or refuse if it's stale

Passwords never go in the spec: name an environment variable with password_env, use IAM, or set password: disabled.

A first plan creates the roles and grants the spec declares:

sesame plan: the roles and grants a spec needs

Later, two grants someone made by hand show up as drift; they are revoked only with --allow-revoke:

sesame plan: drift, planned as revokes

A saved change set can be reviewed without a database, then applied exactly:

sesame show: a saved change set

In GitHub Actions

Review the plan on the pull request; apply the reviewed change set on merge. The connection comes from a secret (SESAME_DSN), and the production environment can require a reviewer's approval before apply runs.

on:
  pull_request:
  push:
    branches: [main]

jobs:
  plan:
    runs-on: ubuntu-latest
    permissions: {contents: read, pull-requests: write}
    env: {SESAME_DSN: "${{ secrets.SESAME_DSN }}"}
    steps:
      - uses: actions/checkout@v4
      - uses: almostly/pgsesame@v0.1.1
        with: {command: plan, spec: permissions.yaml}

  apply:
    if: github.event_name == 'push'
    needs: plan
    runs-on: ubuntu-latest
    environment: production
    env: {SESAME_DSN: "${{ secrets.SESAME_DSN }}"}
    steps:
      - uses: almostly/pgsesame@v0.1.1
        with: {command: apply}

On a pull request the plan is posted as one comment, updated on each push. On merge, apply runs exactly the change set the plan job saved, or refuses if the database changed since. Revokes need allow-revoke: true. The step's outputs (has-changes, to-add, to-change, to-remove) can drive other steps. For Redshift with IAM, sign in with aws-actions/configure-aws-credentials and pass args: --iam --workgroup analytics.

Outside GitHub, run uvx pgsesame or the image (docker run --rm -v "$PWD:/work" -e SESAME_DSN ghcr.io/almostly/pgsesame plan permissions.yaml); plan exits 2 when it has changes.

Testing locally

The integration tests run against PostgreSQL in Docker and against oblako's local Redshift, so a spec can be planned and applied in CI before it touches a real cluster.

License

Apache-2.0

Metadata

Release files for pgsesame 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pgsesame 0.1.1
File Size Uploaded
pgsesame-0.1.1.tar.gz 516.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pgsesame 0.1.1
File Interpreter ABI Platform
pgsesame-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 547.3 kB

Release files / pgsesame-0.1.1.tar.gz

Download URL pgsesame-0.1.1.tar.gz
Size 516.0 kB
Tags Source
SHA-256 checksum
How to use checksums
587a70a0fe9fb7606cd9cd132c153b85f0afeab1dfee2ff6c79c240609106098
BLAKE2b-256 checksum
How to use checksums
318867f3bdf54d2a696849680d2cb334d63998d45f28afd8ae56a6698a9161ae
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 6, 2026.

Transparency log

Release files / pgsesame-0.1.1-py3-none-any.whl

Download URL pgsesame-0.1.1-py3-none-any.whl
Size 31.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
22ee3e6fe7f2458bdc3a0efd3394e49ef2a2758fe738722b116d08bcef5c6e9a
BLAKE2b-256 checksum
How to use checksums
96a5b87d854d043e94d30cc026632e4c4a0daac33889401b8909b588bab635c1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 6, 2026.

Transparency log

Release history Release notifications | RSS feed

0.2.4

2 release files

0.2.3

2 release files

0.2.2

2 release files

0.2.1

2 release files

0.2.0

2 release files

This release

0.1.1 This release

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page