# coding: utf8 from __future__ import unicode_literals import plac import platform from pathlib import Path from wasabi import Printer from ._messages import Messages from ..compat import path2str from .. import util from .. import about @plac.annotations( model=("Optional shortcut link of model", "positional", None, str), markdown=("Generate Markdown for GitHub issues", "flag", "md", str), silent=("Don't print anything (just return)", "flag", "s"), ) def info(model=None, markdown=False, silent=False): """ Print info about spaCy installation. If a model shortcut link is speficied as an argument, print model information. Flag --markdown prints details in Markdown for easy copy-pasting to GitHub issues. """ msg = Printer() if model: if util.is_package(model): model_path = util.get_package_path(model) else: model_path = util.get_data_path() / model meta_path = model_path / "meta.json" if not meta_path.is_file(): msg.fail(Messages.M020, meta_path, exits=1) meta = util.read_json(meta_path) if model_path.resolve() != model_path: meta["link"] = path2str(model_path) meta["source"] = path2str(model_path.resolve()) else: meta["source"] = path2str(model_path) if not silent: title = "Info about model '{}'".format(model) model_meta = { k: v for k, v in meta.items() if k not in ("accuracy", "speed") } if markdown: util.print_markdown(model_meta, title=title) else: msg.table(model_meta, title=title) return meta data = { "spaCy version": about.__version__, "Location": path2str(Path(__file__).parent.parent), "Platform": platform.platform(), "Python version": platform.python_version(), "Models": list_models(), } if not silent: title = "Info about spaCy" if markdown: util.print_markdown(data, title=title) else: msg.table(data, title=title) return data def list_models(): def exclude_dir(dir_name): # exclude common cache directories and hidden directories exclude = ("cache", "pycache", "__pycache__") return dir_name in exclude or dir_name.startswith(".") data_path = util.get_data_path() if data_path: models = [f.parts[-1] for f in data_path.iterdir() if f.is_dir()] return ", ".join([m for m in models if not exclude_dir(m)]) return "-"