spaCy/spacy/cli/package.py

195 lines
6.7 KiB
Python

import plac
import shutil
from pathlib import Path
from wasabi import msg, get_raw_input
import srsly
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.
"""
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(
f"No '{key}' setting found in meta.json",
"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(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_path), 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)
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
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['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 = """
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()