Skip to main content

No project description provided

Project description

datasette-paper

PyPI Changelog Tests License

Collaborative document editor for Datasette. ProseMirror frontend, SQLite-backed storage in Datasette's internal database, real-time collaboration over SSE.

The paper editor: a rich-text document with headings, a table and a task list, a formatting toolbar, and a header showing the author, edit time and number of users online.

Rich text with tables and task lists, wiki-style links between papers, images (paste, drag-and-drop, or insert from the toolbar), and per-paper sharing:

A table in the editor with the floating action bar for adding/removing rows and columns and naming the table for the API. A task list with checkboxes; completed items are struck through.
Typing [[ opens an autocomplete popup listing other papers to link to. The share dialog showing people with access and their roles, plus general link access.

Insert an image by pasting, dropping a file, or using the toolbar's image button — which offers a paste area or a file upload with a live preview:

The insert-image dialog with the Upload tab active, showing a preview of the chosen image, an alt-text field, and an enabled Insert button.

And a paper index listing everyone's papers with author and last-edited time:

The paper index: a table of papers with name, creator and updated time, plus tabs for Active / Archive / Trash / Templates.

Installation

Install in the same environment as Datasette:

datasette install datasette-paper

Quickstart

datasette --internal papers.db \
  -s permissions.datasette-paper-list true \
  -s permissions.datasette-paper-create true \
  -s permissions.datasette-paper-view true \
  -s permissions.datasette-paper-edit true

No user database is required — papers live in Datasette's internal database.

Pass --internal <path> to persist papers across restarts. Without it, Datasette uses an ephemeral tempfile for the internal DB that is deleted when the process exits. The plugin emits a startup warning when it detects this, so you don't lose your papers to a forgotten flag.

Permissions

Four actions gate access. The view/edit actions are per-paper; list/create are global.

Action Scope Gates
datasette-paper-list global The paper index page and the list endpoint.
datasette-paper-create global (also-requires list) Creating new papers.
datasette-paper-view per-paper (PaperResource) Reading a specific paper (bootstrap, SSE, document, tasks).
datasette-paper-edit per-paper (PaperResource, also-requires view) Modifying a specific paper (events, presence, rename, snapshot, share).

The plugin registers a permission_resources_sql hook that resolves per-paper view/edit grants from the _datasette_paper_doc.created_by column (owners) and the _datasette_paper_share table (explicit grants

  • link-visibility levels).

Sharing

Each paper has one of three visibility levels:

  • private — only the owner and explicitly-shared actors can access.
  • link-view — any authenticated actor with the link can view.
  • link-edit — any authenticated actor with the link can view and edit.

Plus per-actor share rows that grant a specific actor a viewer or editor role on a single paper.

The owner is whoever created the paper (created_by, captured from the actor cookie at create time). Only the owner can change visibility or mutate shares.

Papers as data

Paper data lives in Datasette's internal database under tables prefixed with _datasette_paper_:

  • _datasette_paper_doc — one row per paper (id, name, visibility, created_by).
  • _datasette_paper_step — append-only log of ProseMirror steps.
  • _datasette_paper_snapshot — periodic full-document snapshots.
  • _datasette_paper_share — per-actor view/edit grants.

Wire protocol

JSON API rooted at /-/paper/api/... — no per-database segment. List/create docs, bootstrap a paper, post step batches, stream updates over SSE, manage shares, render markdown / extract tasks. See CLAUDE.md for the full endpoint table.

Frontend stack

Vite + Svelte 5 + ProseMirror. Bundle outputs to datasette_paper/static/.

Development

npm install --prefix frontend
just frontend          # build the bundle
just dev               # run datasette with the plugin + permissions granted
just dev-with-hmr      # vite dev server + watchexec restart
just shots             # regenerate docs/screenshots/*.png (used in this README)

just shots is self-contained: it builds the bundle, boots a throwaway Datasette with seeded papers, drives Playwright to capture each surface, and tears the server down. The PNGs are committed, so re-run and commit when the UI changes (the diff shows what changed). Pass shot names to regenerate a subset, e.g. just shots editor tables.

Run the test layers:

just test              # backend pytest
just test-frontend     # vitest
just test-e2e          # playwright (requires built bundle)

Always invoke Python with uv run --prerelease=allow …datasette is on a >=1a23 pre-release pin.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

datasette_paper-0.0.2a2.tar.gz (544.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

datasette_paper-0.0.2a2-py3-none-any.whl (492.7 kB view details)

Uploaded Python 3

File details

Details for the file datasette_paper-0.0.2a2.tar.gz.

File metadata

  • Download URL: datasette_paper-0.0.2a2.tar.gz
  • Upload date:
  • Size: 544.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.23 {"installer":{"name":"uv","version":"0.11.23","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for datasette_paper-0.0.2a2.tar.gz
Algorithm Hash digest
SHA256 0abf693df57b7f96aa3eb80d8b2addc1afac1869d08fcc7cc91c9fcd116b1389
MD5 5565b68f8ec1ad60b4d7506a5d85683f
BLAKE2b-256 edc92916ceb858d000db071ecd325f32c5ce63e6cff45ca43428c06c0135ddc6

See more details on using hashes here.

File details

Details for the file datasette_paper-0.0.2a2-py3-none-any.whl.

File metadata

  • Download URL: datasette_paper-0.0.2a2-py3-none-any.whl
  • Upload date:
  • Size: 492.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: uv/0.11.23 {"installer":{"name":"uv","version":"0.11.23","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for datasette_paper-0.0.2a2-py3-none-any.whl
Algorithm Hash digest
SHA256 ac9f117741ebf34a744ca46ecefc94ceab5a9b42abbf8d6fcff1cb89af170f19
MD5 7eb15c54e27fbc3a1ca1b8c91799da9b
BLAKE2b-256 6892eef96831a918470afec0d3db737e4c7c5350c0d653da3cc3ad3075b83134

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page