prosemirror 0.6.0
Python implementation of core ProseMirror modules for collaborative editing
License: BSD-3-Clause
Requires Python: >=3.10
Keywords: collaborative, editing, prosemirror

# prosemirror-py

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This package provides Python implementations of the following
[ProseMirror](https://prosemirror.net/) packages:

- [`prosemirror-model`](https://github.com/ProseMirror/prosemirror-model) version 1.25.4
- [`prosemirror-transform`](https://github.com/ProseMirror/prosemirror-transform) version 1.11.0
- [`prosemirror-test-builder`](https://github.com/ProseMirror/prosemirror-test-builder) version 1.1.1
- [`prosemirror-schema-basic`](https://github.com/ProseMirror/prosemirror-schema-basic) version 1.2.4
- [`prosemirror-schema-list`](https://github.com/ProseMirror/prosemirror-schema-list) version 1.5.1 (node specs and `wrapRangeInList` only; command functions that depend on `prosemirror-state` are excluded)

The original implementation has been followed as closely as possible during
translation to simplify keeping this package up-to-date with any upstream
changes.

## Why?

ProseMirror provides a powerful toolkit for building rich-text editors, but it's
JavaScript-only. Until now, the only option for manipulating and working with
ProseMirror documents from Python was to embed a JS runtime. With this
translation, you can now define schemas, parse documents, and apply transforms
directly via a native Python API.

## Status

The full ProseMirror test suite has been translated and passes. This project
only supports Python 3. The code has type annotations to support mypy or other
typechecking tools.

## Usage

Since this library is a direct port, the best place to learn how to use it is
the [official ProseMirror documentation](https://prosemirror.net/docs/guide/).
Here is a simple example using the included "basic" schema:

```python
from prosemirror.transform import Transform
from prosemirror.schema.basic import schema

# Create a document containing a single paragraph with the text "Hello, world!"
doc = schema.node(
    "doc", {}, [schema.node("paragraph", {}, [schema.text("Hello, world!")])]
)

# Create a Transform which will be applied to the document.
tr = Transform(doc)

# Delete the text from position 3 to 5. Adds a ReplaceStep to the transform.
tr.delete(3, 5)

# Make the first three characters bold. Adds an AddMarkStep to the transform.
tr.add_mark(1, 4, schema.mark("strong"))

# This transform can be converted to JSON to be sent and applied elsewhere.
assert [step.to_json() for step in tr.steps] == [
    {"stepType": "replace", "from": 3, "to": 5},
    {"stepType": "addMark", "mark": {"type": "strong"}, "from": 1, "to": 4},
]

# The resulting document can also be converted to JSON.
assert tr.doc.to_json() == {
    "type": "doc",
    "content": [
        {
            "type": "paragraph",
            "content": [
                {"type": "text", "marks": [{"type": "strong"}], "text": "Heo"},
                {"type": "text", "text": ", world!"},
            ],
        }
    ],
}
```

## AI Disclosure

The initial version of this translation was written manually in 2019. AI is now
used to help keep this translation up-to-date with upstream changes.