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