https://github.com/tabledog/datasette-stripe

A web SQL interface to your Stripe account using Datasette.
https://github.com/tabledog/datasette-stripe

datasette sqlite stripe

Last synced: 15 days ago
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A web SQL interface to your Stripe account using Datasette.

• Host: GitHub
• URL: https://github.com/tabledog/datasette-stripe
• Owner: tabledog
• License: mit
• Created: 2022-02-24T20:45:38.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2022-05-17T19:41:00.000Z (about 3 years ago)
• Last Synced: 2025-04-01T06:16:08.797Z (about 2 months ago)
• Topics: datasette, sqlite, stripe
• Language: JavaScript
• Homepage: https://table.dog
• Size: 40 KB
• Stars: 20
• Watchers: 3
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: readme.md
  • License: LICENSE

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README

        
# Datasette, Stripe and `tdog`

Or: Stripe Sigma Alternative

- [Datasette](https://datasette.io/) is a web GUI for exploring SQLite datasets.

- [Stripe](https://stripe.com/) handles online payments. [Sigma](https://stripe.com/sigma) is their SQL analytics web

  GUI.

- [Table Dog](https://github.com/tabledog/tdog-cli) is a CLI that converts your Stripe account to a SQLite database file. [Sponsor development](https://github.com/sponsors/emadda).

This repo is a web app that runs Datasette and the `tdog` CLI in a single container to give you a fast real-time SQL

interface to your Stripe account.

Demo: [https://datasette-stripe.fly.dev/stripe](https://datasette-stripe.fly.dev/stripe).

## Notable features

- Full text search across all of your Stripe data.

	- Hold `s` when clicking ID's to open in the Stripe web UI.

- Real time.

	- Polls `/events`, applies changes to your SQLite database.

- Sharable URL's.

	- Share queries as URLs with your team.

	- Export tables to Excel.

- Snapshot your SQLite database.

	- Download with `curl` and HTTP basic auth.

	- Save to file based storage (Dropbox etc) so that you can reproduce query results.

	- Use a local DB GUI.

	- Query using Python or another language.

- Health checks.

	- `/tdog/health.json` allows uptime monitoring (attach

	  to [Google Cloud Monitoring](https://cloud.google.com/monitoring/alerts)).

- GraphQL and JSON API's included.

	- Datasette allows you to use `curl` to get any SQL or GraphQL result set as JSON.

	- This allows you to do [complex joins very efficiently](https://simonwillison.net/2020/Aug/7/datasette-graphql/) as

	  they are powered by SQLite underneath.

	- These APIs can be used from a backend server to query Stripe state without having to handle webhooks or SQL servers and schemas.

- Mirrors your Stripe API key.

	- Sign in to the Datasette instance with HTTP basic auth username=`{STRIPE_SECRET_KEY}`, password=``.

	- Revoke your key to block all HTTP access to the instance.

- Very responsive.

	- The combination of SQLite and a Fly.io instance at the network "edge" minimize any network hops.

- Single Docker container.

	- Can be run on your local laptop or other Docker environment.

## Security

HTTPS/TLS and HTTP basic auth protects the Datasette instance (and the Stripe/SQLite data loaded into it). See the

proxy [readme.md](./app/auth-proxy/readme.md) for more details.

## Docker Run

Run a local copy with these commands:

- `git clone https://github.com/tabledog/datasette-stripe && cd datasette-stripe`

- `docker build . -t datasette-stripe`

- `docker run -it -e NODE_ENV='development' -e STRIPE_SECRET_KEY='rk_test...' -v /host/data:/data -p 3000:3000 datasette-stripe`

- You will now have:

	- A Datasette instance running at `http://127.0.0.1:3000` (use HTTPS in production).

	- A SQLite database containing your Stripe account located at `/host/data/stripe.sqlite`.

## Run this web app for free with Fly.io

Fly.io is like Heroku for Docker containers. They deploy your web app to the closest region to you, manage HTTPS/TLS

certificates and OS updates. You give them a single Docker container (this repo), and they handle the rest.

**1. Create a Fly.io account**

- [Install the CLI](https://fly.io/docs/hands-on/installing/).

- `fly auth signup`

**2. Create Fly app.**

- Your app name will become your URL name: `https://{your_app_name}.fly.dev/`

- `git clone` this repo, cd to it in your terminal.

- Change `app` name in fly.toml to `{your_app_name}` (must be globally unique).

- `fly apps create`

	- View current app with `fly status`.

	- The current app will be the one named in `fly.toml`. Commands operate on this app.

**3. Create volume.**

- Run `fly volumes create volume_tdog --region lhr --size 1;`

- This is where the `stripe.sqlite` database and logs are stored. These persist between VM reboots.

**4. Set secrets.**

- Create a new restricted key with **read-only** for

  everything [https://dashboard.stripe.com/apikeys](https://dashboard.stripe.com/apikeys).

- `fly secrets set STRIPE_SECRET_KEY=rk_test_...`

- API keys are never hard coded into Docker images or logs.

- Remember to clear your shell history after setting this.

**5. Deploy instance.**

- `fly deploy`

- `fly open`

	- Opens URL to app in your browser.

	- The HTTP basic auth username is the same as the `STRIPE_SECRET_KEY`, leave the password blank. This is identical

	  to Stripes API authentication.

	- The `tdog` CLI will do a full download on first boot which could take a while, view the progress via the logs (link in the top right burger menu of Datasette).

- `fly logs`

	- Fly.io VM provisioning logs - any issues will be shown here.

- `fly ssh console`

	- `htop` to see processes.

**Deleting.**

- `fly apps destroy {your_app_name}`

	- This will destroy the volume and secrets that belong to this app.

**Related**

- [Fly billing page](https://fly.io/organizations/personal) - Keep an eye on usage here. A single VM can be left on for

  free under the "free tier".

- If you like the demo but are non-technical, I can set up a Datasette instance for your Stripe account.

	- Contact me at [[email protected]](mailto:[email protected]). Thanks!