Skip to main content

Interact with the Lean theorem prover language server

Project description

leanclient

Interact with the lean4 language server in Python.

PyPI version last update license

leanclient is a thin Python wrapper around the native Lean language server. It enables interaction with a Lean 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=1, 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=1, character=2)
print(result)

# Use a LeanClientPool for easy parallel processing multiple files.
files = ["MyProject/Basic.lean", "Main.lean"]

# Define a function that takes a SingleFileClient as its only parameter.
def count_tokens(client: lc.SingleFileClient):
    return len(client.get_semantic_tokens())

with lc.LeanClientPool(PROJECT_PATH, num_workers=8) as pool:
    results = pool.map(count_tokens, files)

    # Or use pool.submit() for increased control.
    futures = [pool.submit(count_tokens, path) for path in files]
    res_fut = [f.get() for f in futures]

print(results)

Currently in Beta

  • Needs more testing with different setups.
  • Any feedback is appreciated!

Implemented LSP Interactions

See the documentation for more information on:

  • Opening, updating and closing files.
  • Diagnostic information: Errors, warnings etc
  • 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.

Missing LSP Interactions

  • Call hierarchy is currently not reliable.

Might be implemented in the future:

  • textDocument/codeAction
  • 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

  • Choose between lean --server and lake serve
  • 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
  • Allow interaction before waitForDiagnostics returns

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}
}

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

leanclient-0.1.0b8.tar.gz (19.5 kB view details)

Uploaded Source

Built Distribution

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

leanclient-0.1.0b8-py3-none-any.whl (20.6 kB view details)

Uploaded Python 3

File details

Details for the file leanclient-0.1.0b8.tar.gz.

File metadata

  • Download URL: leanclient-0.1.0b8.tar.gz
  • Upload date:
  • Size: 19.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.5 CPython/3.12.3 Linux/6.8.0-51-generic

File hashes

Hashes for leanclient-0.1.0b8.tar.gz
Algorithm Hash digest
SHA256 cbd914555699d6b134221bd8e6d53cae5d92538f66e8266cc4dc2fe2c5c4f991
MD5 c67d578f440704fd8c51f9a34ee66837
BLAKE2b-256 68475b64a8d3cb546c60a752ad515b1b91718cfd6119687cd75d7ef11e1888e0

See more details on using hashes here.

File details

Details for the file leanclient-0.1.0b8-py3-none-any.whl.

File metadata

  • Download URL: leanclient-0.1.0b8-py3-none-any.whl
  • Upload date:
  • Size: 20.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.5 CPython/3.12.3 Linux/6.8.0-51-generic

File hashes

Hashes for leanclient-0.1.0b8-py3-none-any.whl
Algorithm Hash digest
SHA256 7de5d3708d8fff171906c82d5fcb42f9af03ad4d4a7dab2dc52af5be1806a40a
MD5 b26c4c5d3aa5448056d328fa764ed73e
BLAKE2b-256 3c5cdd11827bab8180a228223b911a7c69d7537e141e0232ce690367cd479bd5

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