spaCy/spacy/cli/package.py

from typing import Optional, Union, Any, Dict
import shutil
from pathlib import Path
from wasabi import Printer, get_raw_input
import srsly
import sys

from ._app import app, Arg, Opt
from ..schemas import validate, ModelMetaSchema
from .. import util
from .. import about


@app.command("package")
def package_cli(
    # fmt: off
    input_dir: Path = Arg(..., help="Directory with model data", exists=True, file_okay=False),
    output_dir: Path = Arg(..., help="Output parent directory", exists=True, file_okay=False),
    meta_path: Optional[Path] = Opt(None, "--meta-path", "--meta", "-m", help="Path to meta.json", exists=True, dir_okay=False),
    create_meta: bool = Opt(False, "--create-meta", "-c", "-C", help="Create meta.json, even if one exists"),
    version: Optional[str] = Opt(None, "--version", "-v", help="Package version to override meta"),
    force: bool = Opt(False, "--force", "-f", "-F", help="Force overwriting existing model in output directory"),
    # fmt: on
):
    """
    Generate Python package for model data, including meta and required
    installation files. A new directory will be created in the specified
    output directory, and model data will be copied over. If --create-meta is
    set and a meta.json already exists in the output directory, the existing
    values will be used as the defaults in the command-line prompt.
    """
    package(
        input_dir,
        output_dir,
        meta_path=meta_path,
        version=version,
        create_meta=create_meta,
        force=force,
        silent=False,
    )


def package(
    input_dir: Path,
    output_dir: Path,
    meta_path: Optional[Path] = None,
    version: Optional[str] = None,
    create_meta: bool = False,
    force: bool = False,
    silent: bool = True,
) -> None:
    msg = Printer(no_print=silent, pretty=not silent)
    input_path = util.ensure_path(input_dir)
    output_path = util.ensure_path(output_dir)
    meta_path = util.ensure_path(meta_path)
    if not input_path or not input_path.exists():
        msg.fail("Can't locate model data", input_path, exits=1)
    if not output_path or not output_path.exists():
        msg.fail("Output directory not found", output_path, exits=1)
    if meta_path and not meta_path.exists():
        msg.fail("Can't find model meta.json", meta_path, exits=1)

    meta_path = meta_path or input_dir / "meta.json"
    if not meta_path.exists() or not meta_path.is_file():
        msg.fail("Can't load model meta.json", meta_path, exits=1)
    meta = srsly.read_json(meta_path)
    meta = get_meta(input_dir, meta)
    if version is not None:
        meta["version"] = version
    if not create_meta:  # only print if user doesn't want to overwrite
        msg.good("Loaded meta.json from file", meta_path)
    else:
        meta = generate_meta(meta, msg)
    errors = validate(ModelMetaSchema, meta)
    if errors:
        msg.fail("Invalid model meta.json", "\n".join(errors), exits=1)
    model_name = meta["lang"] + "_" + meta["name"]
    model_name_v = model_name + "-" + meta["version"]
    main_path = output_dir / model_name_v
    package_path = main_path / model_name

    if package_path.exists():
        if force:
            shutil.rmtree(str(package_path))
        else:
            msg.fail(
                "Package directory already exists",
                "Please delete the directory and try again, or use the "
                "`--force` flag to overwrite existing directories.",
                exits=1,
            )
    Path.mkdir(package_path, parents=True)
    shutil.copytree(str(input_dir), str(package_path / model_name_v))
    create_file(main_path / "meta.json", srsly.json_dumps(meta, indent=2))
    create_file(main_path / "setup.py", TEMPLATE_SETUP)
    create_file(main_path / "MANIFEST.in", TEMPLATE_MANIFEST)
    create_file(package_path / "__init__.py", TEMPLATE_INIT)
    msg.good(f"Successfully created package '{model_name_v}'", main_path)
    with util.working_dir(main_path):
        util.run_command([sys.executable, "setup.py", "sdist"])
    zip_file = main_path / "dist" / f"{model_name_v}.tar.gz"
    msg.good(f"Successfully created zipped Python package", zip_file)


def create_file(file_path: Path, contents: str) -> None:
    file_path.touch()
    file_path.open("w", encoding="utf-8").write(contents)


def get_meta(
    model_path: Union[str, Path], existing_meta: Dict[str, Any]
) -> Dict[str, Any]:
    meta = {
        "lang": "en",
        "name": "model",
        "version": "0.0.0",
        "description": None,
        "author": None,
        "email": None,
        "url": None,
        "license": "MIT",
    }
    meta.update(existing_meta)
    nlp = util.load_model_from_path(Path(model_path))
    meta["spacy_version"] = util.get_model_version_range(about.__version__)
    meta["pipeline"] = nlp.pipe_names
    meta["vectors"] = {
        "width": nlp.vocab.vectors_length,
        "vectors": len(nlp.vocab.vectors),
        "keys": nlp.vocab.vectors.n_keys,
        "name": nlp.vocab.vectors.name,
    }
    if about.__title__ != "spacy":
        meta["parent_package"] = about.__title__
    return meta


def generate_meta(existing_meta: Dict[str, Any], msg: Printer) -> Dict[str, Any]:
    meta = existing_meta or {}
    settings = [
        ("lang", "Model language", meta.get("lang", "en")),
        ("name", "Model name", meta.get("name", "model")),
        ("version", "Model version", meta.get("version", "0.0.0")),
        ("description", "Model description", meta.get("description", None)),
        ("author", "Author", meta.get("author", None)),
        ("email", "Author email", meta.get("email", None)),
        ("url", "Author website", meta.get("url", None)),
        ("license", "License", meta.get("license", "MIT")),
    ]
    msg.divider("Generating meta.json")
    msg.text(
        "Enter the package settings for your model. The following information "
        "will be read from your model data: pipeline, vectors."
    )
    for setting, desc, default in settings:
        response = get_raw_input(desc, default)
        meta[setting] = default if response == "" and default else response
    return meta


TEMPLATE_SETUP = """
#!/usr/bin/env python
import io
import json
from os import path, walk
from shutil import copy
from setuptools import setup


def load_meta(fp):
    with io.open(fp, encoding='utf8') as f:
        return json.load(f)


def list_files(data_dir):
    output = []
    for root, _, filenames in walk(data_dir):
        for filename in filenames:
            if not filename.startswith('.'):
                output.append(path.join(root, filename))
    output = [path.relpath(p, path.dirname(data_dir)) for p in output]
    output.append('meta.json')
    return output


def list_requirements(meta):
    parent_package = meta.get('parent_package', 'spacy')
    requirements = [parent_package + meta['spacy_version']]
    if 'setup_requires' in meta:
        requirements += meta['setup_requires']
    if 'requirements' in meta:
        requirements += meta['requirements']
    return requirements


def setup_package():
    root = path.abspath(path.dirname(__file__))
    meta_path = path.join(root, 'meta.json')
    meta = load_meta(meta_path)
    model_name = str(meta['lang'] + '_' + meta['name'])
    model_dir = path.join(model_name, model_name + '-' + meta['version'])

    copy(meta_path, path.join(model_name))
    copy(meta_path, model_dir)

    setup(
        name=model_name,
        description=meta.get('description'),
        author=meta.get('author'),
        author_email=meta.get('email'),
        url=meta.get('url'),
        version=meta['version'],
        license=meta.get('license'),
        packages=[model_name],
        package_data={model_name: list_files(model_dir)},
        install_requires=list_requirements(meta),
        zip_safe=False,
        entry_points={'spacy_models': ['{m} = {m}'.format(m=model_name)]}
    )


if __name__ == '__main__':
    setup_package()
""".strip()


TEMPLATE_MANIFEST = """
include meta.json
""".strip()


TEMPLATE_INIT = """
from pathlib import Path
from spacy.util import load_model_from_init_py, get_model_meta


__version__ = get_model_meta(Path(__file__).parent)['version']


def load(**overrides):
    return load_model_from_init_py(__file__, **overrides)
""".strip()