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Interact with the Lean theorem prover language server

Project description

leanclient

Interact with the Lean 4 language server in Python.

PyPI version last update license

leanclient is a thin Python wrapper around the native Lean 4 language server. It enables interaction with a Lean 4 language server instance running in a subprocess.

Check out the documentation for more information.

Key Features

  • Interact: Query and change lean files via the LSP.
  • Thin wrapper: Directly expose the Lean Language Server.
  • Synchronous: Requests block until a response is received.
  • Fast: Typically more than 95% of time is spent waiting.
  • Parallel: Easy batch processing of files using all your cores.

Quickstart

The best way to get started is to check out this minimal example in Google Colab:

Open in Colab

Or try it locally:

  1. Setup a new lean project or use an existing one. See the colab notebook for a basic Ubuntu setup.

  2. Install the package:

pip install leanclient
  1. In your python code:
import leanclient as lc

# Start a new client, point it to your lean project root (where lakefile.toml is located).
PROJECT_PATH = "path/to/your/lean/project/root/"
client = lc.LeanLSPClient(PROJECT_PATH)

# Query a lean file in your project
file_path = "MyProject/Basic.lean"
result = client.get_goal(file_path, line=0, character=2)
print(result)

# Use a SingleFileClient for simplified interaction with a single file.
sfc = client.create_file_client(file_path)
result = sfc.get_term_goal(line=0, character=5)
print(result)

# Make a change to the document.
change = lc.DocumentContentChange(text="-- Adding a comment at the head of the file\n", start=[0, 0], end=[0, 0])
sfc.update_file(changes=[change])

# Check the document content as seen by the LSP (changes are not written to disk).
print(sfc.get_file_content())

Implemented LSP Interactions

See the documentation for more information on:

  • Opening and closing files.
  • Updating (adding/removing) code from an open file.
  • Diagnostic information: Errors, warnings and information.
  • Goals and term goal.
  • Hover information.
  • Document symbols (theorems, definitions, etc).
  • Semantic tokens, folding ranges, and document highlights.
  • Locations of definitions and type definitions.
  • Locations of declarations and references.
  • Completions, completion item resolve.
  • Getting code actions, resolving them, then applying the edits.
  • Get InfoTrees of theorems (includes rudimentary parsing).

Missing LSP Interactions

  • "Call hierarchy" is currently not reliable.

Might be implemented in the future:

  • workspace/symbol, workspace/didChangeWatchedFiles, workspace/applyEdit, ...
  • textDocument/prepareRename, textDocument/rename

Internal Lean methods:

  • $/lean/rpc/connect, $/lean/rpc/call, $/lean/rpc/release, $/lean/rpc/keepAlive
  • Interactive diagnostics
  • $/lean/staleDependency

Potential Features

  • Better Windows support
  • Choose between lean --server and lake serve
  • Allow interaction before waitForDiagnostics returns.
  • Parallel implementation (multiple requests in-flight) like multilspy
  • Automatic testing (lean env setup) for non Debian-based systems
  • Use document versions to handle evolving file states

Documentation

Read the documentation at leanclient.readthedocs.io.

Run make docs to build the documentation locally.

Benchmarks

See documentation for more information.

Testing

# python3 -m venv venv  # Or similar: Create environment
make install            # Installs python package and dev dependencies
make test               # Run all tests, also installs fresh lean env if not found
make test-profile       # Run all tests with cProfile

Related Projects

Lean LSP Clients

Lean REPLs

License & Citation

MIT licensed. See LICENSE for more information.

Citing this repository is highly appreciated but not required by the license.

@software{leanclient2025,
  author = {Oliver Dressler},
  title = {{leanclient: Python client to interact with the lean4 language server}},
  url = {https://github.com/oOo0oOo/leanclient},
  month = {1},
  year = {2025}
}

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