from typing import Optional, Dict, Any, Union, List import platform from pathlib import Path from wasabi import Printer, MarkdownRenderer import srsly from ._util import app, Arg, Opt, string_to_list from .. import util from .. import about @app.command("info") def info_cli( # fmt: off model: Optional[str] = Arg(None, help="Optional loadable spaCy pipeline"), markdown: bool = Opt(False, "--markdown", "-md", help="Generate Markdown for GitHub issues"), silent: bool = Opt(False, "--silent", "-s", "-S", help="Don't print anything (just return)"), exclude: Optional[str] = Opt("labels", "--exclude", "-e", help="Comma-separated keys to exclude from the print-out"), # fmt: on ): """ Print info about spaCy installation. If a pipeline is specified as an argument, print its meta information. Flag --markdown prints details in Markdown for easy copy-pasting to GitHub issues. DOCS: https://nightly.spacy.io/api/cli#info """ exclude = string_to_list(exclude) info(model, markdown=markdown, silent=silent, exclude=exclude) def info( model: Optional[str] = None, *, markdown: bool = False, silent: bool = True, exclude: Optional[List[str]] = None, ) -> Union[str, dict]: msg = Printer(no_print=silent, pretty=not silent) if not exclude: exclude = [] if model: title = f"Info about pipeline '{model}'" data = info_model(model, silent=silent) else: title = "Info about spaCy" data = info_spacy() raw_data = {k.lower().replace(" ", "_"): v for k, v in data.items()} if "Pipelines" in data and isinstance(data["Pipelines"], dict): data["Pipelines"] = ", ".join( f"{n} ({v})" for n, v in data["Pipelines"].items() ) markdown_data = get_markdown(data, title=title, exclude=exclude) if markdown: if not silent: print(markdown_data) return markdown_data if not silent: table_data = {k: v for k, v in data.items() if k not in exclude} msg.table(table_data, title=title) return raw_data def info_spacy() -> Dict[str, any]: """Generate info about the current spaCy intallation. RETURNS (dict): The spaCy info. """ all_models = {} for pkg_name in util.get_installed_models(): package = pkg_name.replace("-", "_") all_models[package] = util.get_package_version(pkg_name) return { "spaCy version": about.__version__, "Location": str(Path(__file__).parent.parent), "Platform": platform.platform(), "Python version": platform.python_version(), "Pipelines": all_models, } def info_model(model: str, *, silent: bool = True) -> Dict[str, Any]: """Generate info about a specific model. model (str): Model name of path. silent (bool): Don't print anything, just return. RETURNS (dict): The model meta. """ msg = Printer(no_print=silent, pretty=not silent) if util.is_package(model): model_path = util.get_package_path(model) else: model_path = Path(model) meta_path = model_path / "meta.json" if not meta_path.is_file(): msg.fail("Can't find pipeline meta.json", meta_path, exits=1) meta = srsly.read_json(meta_path) if model_path.resolve() != model_path: meta["source"] = str(model_path.resolve()) else: meta["source"] = str(model_path) return { k: v for k, v in meta.items() if k not in ("accuracy", "performance", "speed") } def get_markdown( data: Dict[str, Any], title: Optional[str] = None, exclude: Optional[List[str]] = None ) -> str: """Get data in GitHub-flavoured Markdown format for issues etc. data (dict or list of tuples): Label/value pairs. title (str / None): Title, will be rendered as headline 2. RETURNS (str): The Markdown string. """ md = MarkdownRenderer() if title: md.add(md.title(2, title)) items = [] for key, value in data.items(): if exclude and key in exclude: continue if isinstance(value, str): try: existing_path = Path(value).exists() except Exception: # invalid Path, like a URL string existing_path = False if existing_path: continue items.append(f"{md.bold(f'{key}:')} {value}") md.add(md.list(items)) return f"\n{md.text}\n"