datasette-litestream 0.0.1a10

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datasette-litestream

An experimental Datasette <-> Litestream plugin.

Installation

Install this plugin in the same environment as Datasette.

datasette install datasette-litestream

Usage

plugins:
  datasette-litestream:
    metrics-addr: :9090
    all-replicate:
      - file://$PWD/$DB-backup

Replicate a single database to a local directory

databases:
  my_database:
    plugins:
      datasette-litestream:
        replicas:
          - path: ./my_database-backup

Replicate a single database to S3

databases:
  my_database:
    plugins:
      datasette-litestream:
        replicas:
          - url: s3://my-bucket/my_database

1. Environment variables LITESTREAM_ACCESS_KEY_ID and LITESTREAM_SECRET_ACCESS_KEY. AWS_ACCESS_KEY_ID AWS_SECRET_ACCESS_KEY
2. Environment variables with access-key-id and secret-access-key config options.
3. Raw values in secret-access-key and secret-access-key config options.

Replicate all databases

plugins:
  datasette-litestream:
    all-replicate:
      - s3://my-bucket/$DB

Config

Top-level

The following are valid keys that are allowed when specifying top-evel

• all-replicate
• access-key-id
• secret-access-key
• metrics-addr

None of these keys are required.

Example:

plugins:
  datasette-litestream:
    all-replicate:
      - XXX
      - YYY
    access-key-id: $YOUR_KEY
    secret-access-key: $YOUR_SECRET
    metrics-addr: :5001

Database-level

• replicas
• monitor-interval
• checkpoint-interval
• min-checkpoint-page-count
• max-checkpoint-page-count

databases:
  my_database:
    plugins:
      datasette-litestream:
        replicas:
          - XXX
          - XXX
        monitor-interval: XXX
        checkpoint-interval: XXX
        min-checkpoint-page-count: XXX
        max-checkpoint-page-count: XXX

Development

To set up this plugin locally, first checkout the code. Then create a new virtual environment:

cd datasette-litestream
python3 -m venv venv
source venv/bin/activate

Now install the dependencies and test dependencies:

pip install -e '.[test]'

To run the tests:

pytest