mirror of
				https://github.com/explosion/spaCy.git
				synced 2025-11-04 09:57:26 +03:00 
			
		
		
		
	* Set vectors.name when updating meta.json during training * add vectors name to meta in `spacy package`
		
			
				
	
	
		
			205 lines
		
	
	
		
			6.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			205 lines
		
	
	
		
			6.9 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
# coding: utf8
 | 
						|
from __future__ import unicode_literals
 | 
						|
 | 
						|
import plac
 | 
						|
import shutil
 | 
						|
from pathlib import Path
 | 
						|
from wasabi import Printer, get_raw_input
 | 
						|
import srsly
 | 
						|
 | 
						|
from ..compat import path2str
 | 
						|
from .. import util
 | 
						|
from .. import about
 | 
						|
 | 
						|
 | 
						|
@plac.annotations(
 | 
						|
    input_dir=("Directory with model data", "positional", None, str),
 | 
						|
    output_dir=("Output parent directory", "positional", None, str),
 | 
						|
    meta_path=("Path to meta.json", "option", "m", str),
 | 
						|
    create_meta=("Create meta.json, even if one exists", "flag", "c", bool),
 | 
						|
    force=("Force overwriting existing model in output directory", "flag", "f", bool),
 | 
						|
)
 | 
						|
def package(input_dir, output_dir, meta_path=None, create_meta=False, force=False):
 | 
						|
    """
 | 
						|
    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.
 | 
						|
    """
 | 
						|
    msg = Printer()
 | 
						|
    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_path / "meta.json"
 | 
						|
    if meta_path.is_file():
 | 
						|
        meta = srsly.read_json(meta_path)
 | 
						|
        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(input_dir, meta, msg)
 | 
						|
    for key in ("lang", "name", "version"):
 | 
						|
        if key not in meta or meta[key] == "":
 | 
						|
            msg.fail(
 | 
						|
                "No '{}' setting found in meta.json".format(key),
 | 
						|
                "This setting is required to build your package.",
 | 
						|
                exits=1,
 | 
						|
            )
 | 
						|
    model_name = meta["lang"] + "_" + meta["name"]
 | 
						|
    model_name_v = model_name + "-" + meta["version"]
 | 
						|
    main_path = output_path / model_name_v
 | 
						|
    package_path = main_path / model_name
 | 
						|
 | 
						|
    if package_path.exists():
 | 
						|
        if force:
 | 
						|
            shutil.rmtree(path2str(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.".format(path=path2str(package_path)),
 | 
						|
                exits=1,
 | 
						|
            )
 | 
						|
    Path.mkdir(package_path, parents=True)
 | 
						|
    shutil.copytree(path2str(input_path), path2str(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("Successfully created package '{}'".format(model_name_v), main_path)
 | 
						|
    msg.text("To build the package, run `python setup.py sdist` in this directory.")
 | 
						|
 | 
						|
 | 
						|
def create_file(file_path, contents):
 | 
						|
    file_path.touch()
 | 
						|
    file_path.open("w", encoding="utf-8").write(contents)
 | 
						|
 | 
						|
 | 
						|
def generate_meta(model_path, existing_meta, msg):
 | 
						|
    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")),
 | 
						|
        ("spacy_version", "Required spaCy version", ">=%s,<3.0.0" % about.__version__),
 | 
						|
        ("description", "Model description", meta.get("description", False)),
 | 
						|
        ("author", "Author", meta.get("author", False)),
 | 
						|
        ("email", "Author email", meta.get("email", False)),
 | 
						|
        ("url", "Author website", meta.get("url", False)),
 | 
						|
        ("license", "License", meta.get("license", "CC BY-SA 3.0")),
 | 
						|
    ]
 | 
						|
    nlp = util.load_model_from_path(Path(model_path))
 | 
						|
    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,
 | 
						|
    }
 | 
						|
    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
 | 
						|
    if about.__title__ != "spacy":
 | 
						|
        meta["parent_package"] = about.__title__
 | 
						|
    return meta
 | 
						|
 | 
						|
 | 
						|
TEMPLATE_SETUP = """
 | 
						|
#!/usr/bin/env python
 | 
						|
# coding: utf8
 | 
						|
from __future__ import unicode_literals
 | 
						|
 | 
						|
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']
 | 
						|
    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['description'],
 | 
						|
        author=meta['author'],
 | 
						|
        author_email=meta['email'],
 | 
						|
        url=meta['url'],
 | 
						|
        version=meta['version'],
 | 
						|
        license=meta['license'],
 | 
						|
        packages=[model_name],
 | 
						|
        package_data={model_name: list_files(model_dir)},
 | 
						|
        install_requires=list_requirements(meta),
 | 
						|
        zip_safe=False,
 | 
						|
    )
 | 
						|
 | 
						|
 | 
						|
if __name__ == '__main__':
 | 
						|
    setup_package()
 | 
						|
""".strip()
 | 
						|
 | 
						|
 | 
						|
TEMPLATE_MANIFEST = """
 | 
						|
include meta.json
 | 
						|
""".strip()
 | 
						|
 | 
						|
 | 
						|
TEMPLATE_INIT = """
 | 
						|
# coding: utf8
 | 
						|
from __future__ import unicode_literals
 | 
						|
 | 
						|
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()
 |