mirror of
https://github.com/explosion/spaCy.git
synced 2025-10-31 07:57:35 +03:00
513bbd5fa3
Build with `build` if available. Warn and fall back to previous `setup.py`-based builds if `build` build fails.
604 lines
23 KiB
Python
604 lines
23 KiB
Python
import os
|
|
import re
|
|
import shutil
|
|
import subprocess
|
|
import sys
|
|
from collections import defaultdict
|
|
from pathlib import Path
|
|
from typing import Any, Dict, List, Optional, Tuple, Union, cast
|
|
|
|
import srsly
|
|
from catalogue import RegistryError
|
|
from thinc.api import Config
|
|
from wasabi import MarkdownRenderer, Printer, get_raw_input
|
|
|
|
from .. import about, util
|
|
from ..compat import importlib_metadata
|
|
from ..schemas import ModelMetaSchema, validate
|
|
from ._util import SDIST_SUFFIX, WHEEL_SUFFIX, Arg, Opt, app, string_to_list
|
|
|
|
|
|
@app.command("package")
|
|
def package_cli(
|
|
# fmt: off
|
|
input_dir: Path = Arg(..., help="Directory with pipeline data", exists=True, file_okay=False),
|
|
output_dir: Path = Arg(..., help="Output parent directory", exists=True, file_okay=False),
|
|
code_paths: str = Opt("", "--code", "-c", help="Comma-separated paths to Python file with additional code (registered functions) to be included in the package"),
|
|
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", help="Create meta.json, even if one exists"),
|
|
name: Optional[str] = Opt(None, "--name", "-n", help="Package name to override meta"),
|
|
version: Optional[str] = Opt(None, "--version", "-v", help="Package version to override meta"),
|
|
build: str = Opt("sdist", "--build", "-b", help="Comma-separated formats to build: sdist and/or wheel, or none."),
|
|
force: bool = Opt(False, "--force", "-f", "-F", help="Force overwriting existing data in output directory"),
|
|
# fmt: on
|
|
):
|
|
"""
|
|
Generate an installable Python package for a pipeline. Includes binary data,
|
|
meta and required installation files. A new directory will be created in the
|
|
specified output directory, and the 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.
|
|
After packaging, "python -m build --sdist" is run in the package directory,
|
|
which will create a .tar.gz archive that can be installed via "pip install".
|
|
|
|
If additional code files are provided (e.g. Python files containing custom
|
|
registered functions like pipeline components), they are copied into the
|
|
package and imported in the __init__.py.
|
|
|
|
DOCS: https://spacy.io/api/cli#package
|
|
"""
|
|
create_sdist, create_wheel = get_build_formats(string_to_list(build))
|
|
code_paths = [Path(p.strip()) for p in string_to_list(code_paths)]
|
|
package(
|
|
input_dir,
|
|
output_dir,
|
|
meta_path=meta_path,
|
|
code_paths=code_paths,
|
|
name=name,
|
|
version=version,
|
|
create_meta=create_meta,
|
|
create_sdist=create_sdist,
|
|
create_wheel=create_wheel,
|
|
force=force,
|
|
silent=False,
|
|
)
|
|
|
|
|
|
def package(
|
|
input_dir: Path,
|
|
output_dir: Path,
|
|
meta_path: Optional[Path] = None,
|
|
code_paths: List[Path] = [],
|
|
name: Optional[str] = None,
|
|
version: Optional[str] = None,
|
|
create_meta: bool = False,
|
|
create_sdist: bool = True,
|
|
create_wheel: 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 create_wheel and not has_wheel() and not has_build():
|
|
err = (
|
|
"Generating wheels requires 'build' or 'wheel' (deprecated) to be installed"
|
|
)
|
|
msg.fail(err, "pip install build", exits=1)
|
|
if not has_build():
|
|
msg.warn(
|
|
"Generating packages without the 'build' package is deprecated and "
|
|
"will not be supported in the future. To install 'build': pip "
|
|
"install build"
|
|
)
|
|
if not input_path or not input_path.exists():
|
|
msg.fail("Can't locate pipeline 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 create_sdist or create_wheel:
|
|
opts = ["sdist" if create_sdist else "", "wheel" if create_wheel else ""]
|
|
msg.info(f"Building package artifacts: {', '.join(opt for opt in opts if opt)}")
|
|
for code_path in code_paths:
|
|
if not code_path.exists():
|
|
msg.fail("Can't find code file", code_path, exits=1)
|
|
# Import the code here so it's available when model is loaded (via
|
|
# get_meta helper). Also verifies that everything works
|
|
util.import_file(code_path.stem, code_path)
|
|
if code_paths:
|
|
msg.good(f"Including {len(code_paths)} Python module(s) with custom code")
|
|
if meta_path and not meta_path.exists():
|
|
msg.fail("Can't find pipeline 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 pipeline meta.json", meta_path, exits=1)
|
|
meta = srsly.read_json(meta_path)
|
|
meta = get_meta(input_dir, meta)
|
|
if meta["requirements"]:
|
|
msg.good(
|
|
f"Including {len(meta['requirements'])} package requirement(s) from "
|
|
f"meta and config",
|
|
", ".join(meta["requirements"]),
|
|
)
|
|
if name is not None:
|
|
if not name.isidentifier():
|
|
msg.fail(
|
|
f"Model name ('{name}') is not a valid module name. "
|
|
"This is required so it can be imported as a module.",
|
|
"We recommend names that use ASCII A-Z, a-z, _ (underscore), "
|
|
"and 0-9. "
|
|
"For specific details see: https://docs.python.org/3/reference/lexical_analysis.html#identifiers",
|
|
exits=1,
|
|
)
|
|
if not _is_permitted_package_name(name):
|
|
msg.fail(
|
|
f"Model name ('{name}') is not a permitted package name. "
|
|
"This is required to correctly load the model with spacy.load.",
|
|
"We recommend names that use ASCII A-Z, a-z, _ (underscore), "
|
|
"and 0-9. "
|
|
"For specific details see: https://www.python.org/dev/peps/pep-0426/#name",
|
|
exits=1,
|
|
)
|
|
meta["name"] = name
|
|
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 pipeline meta.json")
|
|
print("\n".join(errors))
|
|
sys.exit(1)
|
|
model_name = meta["name"]
|
|
if not model_name.startswith(meta["lang"] + "_"):
|
|
model_name = f"{meta['lang']}_{model_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))
|
|
for file_name in FILENAMES_DOCS:
|
|
file_path = package_path / model_name_v / file_name
|
|
if file_path.exists():
|
|
shutil.copy(str(file_path), str(main_path))
|
|
readme_path = main_path / "README.md"
|
|
if not readme_path.exists():
|
|
readme = generate_readme(meta)
|
|
create_file(readme_path, readme)
|
|
create_file(package_path / model_name_v / "README.md", readme)
|
|
msg.good("Generated README.md from meta.json")
|
|
else:
|
|
msg.info("Using existing README.md from pipeline directory")
|
|
imports = []
|
|
for code_path in code_paths:
|
|
imports.append(code_path.stem)
|
|
shutil.copy(str(code_path), str(package_path))
|
|
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)
|
|
init_py = TEMPLATE_INIT.format(
|
|
imports="\n".join(f"from . import {m}" for m in imports)
|
|
)
|
|
create_file(package_path / "__init__.py", init_py)
|
|
msg.good(f"Successfully created package directory '{model_name_v}'", main_path)
|
|
if create_sdist:
|
|
with util.working_dir(main_path):
|
|
# run directly, since util.run_command is not designed to continue
|
|
# after a command fails
|
|
ret = subprocess.run(
|
|
[sys.executable, "-m", "build", ".", "--sdist"],
|
|
env=os.environ.copy(),
|
|
)
|
|
if ret.returncode != 0:
|
|
msg.warn(
|
|
"Creating sdist with 'python -m build' failed. Falling "
|
|
"back to deprecated use of 'python setup.py sdist'"
|
|
)
|
|
util.run_command([sys.executable, "setup.py", "sdist"], capture=False)
|
|
zip_file = main_path / "dist" / f"{model_name_v}{SDIST_SUFFIX}"
|
|
msg.good(f"Successfully created zipped Python package", zip_file)
|
|
if create_wheel:
|
|
with util.working_dir(main_path):
|
|
# run directly, since util.run_command is not designed to continue
|
|
# after a command fails
|
|
ret = subprocess.run(
|
|
[sys.executable, "-m", "build", ".", "--wheel"],
|
|
env=os.environ.copy(),
|
|
)
|
|
if ret.returncode != 0:
|
|
msg.warn(
|
|
"Creating wheel with 'python -m build' failed. Falling "
|
|
"back to deprecated use of 'wheel' with "
|
|
"'python setup.py bdist_wheel'"
|
|
)
|
|
util.run_command(
|
|
[sys.executable, "setup.py", "bdist_wheel"], capture=False
|
|
)
|
|
wheel_name_squashed = re.sub("_+", "_", model_name_v)
|
|
wheel = main_path / "dist" / f"{wheel_name_squashed}{WHEEL_SUFFIX}"
|
|
msg.good(f"Successfully created binary wheel", wheel)
|
|
if "__" in model_name:
|
|
msg.warn(
|
|
f"Model name ('{model_name}') contains a run of underscores. "
|
|
"Runs of underscores are not significant in installed package names.",
|
|
)
|
|
|
|
|
|
def has_wheel() -> bool:
|
|
try:
|
|
import wheel # noqa: F401
|
|
|
|
return True
|
|
except ImportError:
|
|
return False
|
|
|
|
|
|
def has_build() -> bool:
|
|
# it's very likely that there is a local directory named build/ (especially
|
|
# in an editable install), so an import check is not sufficient; instead
|
|
# check that there is a package version
|
|
try:
|
|
importlib_metadata.version("build")
|
|
return True
|
|
except importlib_metadata.PackageNotFoundError: # type: ignore[attr-defined]
|
|
return False
|
|
|
|
|
|
def get_third_party_dependencies(
|
|
config: Config, exclude: List[str] = util.SimpleFrozenList()
|
|
) -> List[str]:
|
|
"""If the config includes references to registered functions that are
|
|
provided by third-party packages (spacy-transformers, other libraries), we
|
|
want to include them in meta["requirements"] so that the package specifies
|
|
them as dependencies and the user won't have to do it manually.
|
|
|
|
We do this by:
|
|
- traversing the config to check for registered function (@ keys)
|
|
- looking up the functions and getting their module
|
|
- looking up the module version and generating an appropriate version range
|
|
|
|
config (Config): The pipeline config.
|
|
exclude (list): List of packages to exclude (e.g. that already exist in meta).
|
|
RETURNS (list): The versioned requirements.
|
|
"""
|
|
own_packages = ("spacy", "spacy-legacy", "spacy-nightly", "thinc", "srsly")
|
|
distributions = util.packages_distributions()
|
|
funcs = defaultdict(set)
|
|
# We only want to look at runtime-relevant sections, not [training] or [initialize]
|
|
for section in ("nlp", "components"):
|
|
for path, value in util.walk_dict(config[section]):
|
|
if path[-1].startswith("@"): # collect all function references by registry
|
|
funcs[path[-1][1:]].add(value)
|
|
for component in config.get("components", {}).values():
|
|
if "factory" in component:
|
|
funcs["factories"].add(component["factory"])
|
|
modules = set()
|
|
lang = config["nlp"]["lang"]
|
|
for reg_name, func_names in funcs.items():
|
|
for func_name in func_names:
|
|
# Try the lang-specific version and fall back
|
|
try:
|
|
func_info = util.registry.find(reg_name, lang + "." + func_name)
|
|
except RegistryError:
|
|
try:
|
|
func_info = util.registry.find(reg_name, func_name)
|
|
except RegistryError as regerr:
|
|
# lang-specific version being absent is not actually an issue
|
|
raise regerr from None
|
|
module_name = func_info.get("module") # type: ignore[attr-defined]
|
|
if module_name: # the code is part of a module, not a --code file
|
|
modules.add(func_info["module"].split(".")[0]) # type: ignore[union-attr]
|
|
dependencies = []
|
|
for module_name in modules:
|
|
if module_name in distributions:
|
|
dist = distributions.get(module_name)
|
|
if dist:
|
|
pkg = dist[0]
|
|
if pkg in own_packages or pkg in exclude:
|
|
continue
|
|
version = util.get_package_version(pkg)
|
|
version_range = util.get_minor_version_range(version) # type: ignore[arg-type]
|
|
dependencies.append(f"{pkg}{version_range}")
|
|
return dependencies
|
|
|
|
|
|
def get_build_formats(formats: List[str]) -> Tuple[bool, bool]:
|
|
supported = ["sdist", "wheel", "none"]
|
|
for form in formats:
|
|
if form not in supported:
|
|
msg = Printer()
|
|
err = f"Unknown build format: {form}. Supported: {', '.join(supported)}"
|
|
msg.fail(err, exits=1)
|
|
if not formats or "none" in formats:
|
|
return (False, False)
|
|
return ("sdist" in formats, "wheel" in formats)
|
|
|
|
|
|
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: Dict[str, Any] = {
|
|
"lang": "en",
|
|
"name": "pipeline",
|
|
"version": "0.0.0",
|
|
"description": "",
|
|
"author": "",
|
|
"email": "",
|
|
"url": "",
|
|
"license": "MIT",
|
|
}
|
|
nlp = util.load_model_from_path(Path(model_path))
|
|
meta.update(nlp.meta)
|
|
meta["spacy_version"] = util.get_minor_version_range(about.__version__)
|
|
meta.update(existing_meta)
|
|
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__
|
|
meta.setdefault("requirements", [])
|
|
# Update the requirements with all third-party packages in the config
|
|
existing_reqs = [util.split_requirement(req)[0] for req in meta["requirements"]]
|
|
reqs = get_third_party_dependencies(nlp.config, exclude=existing_reqs)
|
|
meta["requirements"].extend(reqs)
|
|
return meta
|
|
|
|
|
|
def generate_meta(existing_meta: Dict[str, Any], msg: Printer) -> Dict[str, Any]:
|
|
meta = existing_meta or {}
|
|
settings = [
|
|
("lang", "Pipeline language", meta.get("lang", "en")),
|
|
("name", "Pipeline name", meta.get("name", "pipeline")),
|
|
("version", "Package version", meta.get("version", "0.0.0")),
|
|
("description", "Package 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 pipeline. The following information "
|
|
"will be read from your pipeline 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
|
|
|
|
|
|
def generate_readme(meta: Dict[str, Any]) -> str:
|
|
"""
|
|
Generate a Markdown-formatted README text from a model meta.json. Used
|
|
within the GitHub release notes and as content for README.md file added
|
|
to model packages.
|
|
"""
|
|
md = MarkdownRenderer()
|
|
lang = meta["lang"]
|
|
name = f"{lang}_{meta['name']}"
|
|
version = meta["version"]
|
|
pipeline = ", ".join([md.code(p) for p in meta.get("pipeline", [])])
|
|
components = ", ".join([md.code(p) for p in meta.get("components", [])])
|
|
vecs = meta.get("vectors", {})
|
|
vectors = f"{vecs.get('keys', 0)} keys, {vecs.get('vectors', 0)} unique vectors ({ vecs.get('width', 0)} dimensions)"
|
|
author = meta.get("author") or "n/a"
|
|
notes = meta.get("notes", "")
|
|
license_name = meta.get("license")
|
|
sources = _format_sources(meta.get("sources"))
|
|
description = meta.get("description")
|
|
label_scheme = _format_label_scheme(cast(Dict[str, Any], meta.get("labels")))
|
|
accuracy = _format_accuracy(cast(Dict[str, Any], meta.get("performance")))
|
|
table_data = [
|
|
(md.bold("Name"), md.code(name)),
|
|
(md.bold("Version"), md.code(version)),
|
|
(md.bold("spaCy"), md.code(meta["spacy_version"])),
|
|
(md.bold("Default Pipeline"), pipeline),
|
|
(md.bold("Components"), components),
|
|
(md.bold("Vectors"), vectors),
|
|
(md.bold("Sources"), sources or "n/a"),
|
|
(md.bold("License"), md.code(license_name) if license_name else "n/a"),
|
|
(md.bold("Author"), md.link(author, meta["url"]) if "url" in meta else author),
|
|
]
|
|
# Put together Markdown body
|
|
if description:
|
|
md.add(description)
|
|
md.add(md.table(table_data, ["Feature", "Description"]))
|
|
if label_scheme:
|
|
md.add(md.title(3, "Label Scheme"))
|
|
md.add(label_scheme)
|
|
if accuracy:
|
|
md.add(md.title(3, "Accuracy"))
|
|
md.add(accuracy)
|
|
if notes:
|
|
md.add(notes)
|
|
return md.text
|
|
|
|
|
|
def _format_sources(data: Any) -> str:
|
|
if not data or not isinstance(data, list):
|
|
return "n/a"
|
|
sources = []
|
|
for source in data:
|
|
if not isinstance(source, dict):
|
|
source = {"name": source}
|
|
name = source.get("name")
|
|
if not name:
|
|
continue
|
|
url = source.get("url")
|
|
author = source.get("author")
|
|
result = name if not url else "[{}]({})".format(name, url)
|
|
if author:
|
|
result += " ({})".format(author)
|
|
sources.append(result)
|
|
return "<br>".join(sources)
|
|
|
|
|
|
def _format_accuracy(data: Dict[str, Any], exclude: List[str] = ["speed"]) -> str:
|
|
if not data:
|
|
return ""
|
|
md = MarkdownRenderer()
|
|
scalars = [(k, v) for k, v in data.items() if isinstance(v, (int, float))]
|
|
scores = [
|
|
(md.code(acc.upper()), f"{score*100:.2f}")
|
|
for acc, score in scalars
|
|
if acc not in exclude
|
|
]
|
|
md.add(md.table(scores, ["Type", "Score"]))
|
|
return md.text
|
|
|
|
|
|
def _format_label_scheme(data: Dict[str, Any]) -> str:
|
|
if not data:
|
|
return ""
|
|
md = MarkdownRenderer()
|
|
n_labels = 0
|
|
n_pipes = 0
|
|
label_data = []
|
|
for pipe, labels in data.items():
|
|
if not labels:
|
|
continue
|
|
col1 = md.bold(md.code(pipe))
|
|
col2 = ", ".join(
|
|
[md.code(str(label).replace("|", "\\|")) for label in labels]
|
|
) # noqa: W605
|
|
label_data.append((col1, col2))
|
|
n_labels += len(labels)
|
|
n_pipes += 1
|
|
if not label_data:
|
|
return ""
|
|
label_info = f"View label scheme ({n_labels} labels for {n_pipes} components)"
|
|
md.add("<details>")
|
|
md.add(f"<summary>{label_info}</summary>")
|
|
md.add(md.table(label_data, ["Component", "Labels"]))
|
|
md.add("</details>")
|
|
return md.text
|
|
|
|
|
|
def _is_permitted_package_name(package_name: str) -> bool:
|
|
# regex from: https://www.python.org/dev/peps/pep-0426/#name
|
|
permitted_match = re.search(
|
|
r"^([A-Z0-9]|[A-Z0-9][A-Z0-9._-]*[A-Z0-9])$", package_name, re.IGNORECASE
|
|
)
|
|
return permitted_match is not None
|
|
|
|
|
|
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 load_readme(fp):
|
|
if path.exists(fp):
|
|
with io.open(fp, encoding='utf8') as f:
|
|
return f.read()
|
|
return ""
|
|
|
|
|
|
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)
|
|
readme_path = path.join(root, 'README.md')
|
|
readme = load_readme(readme_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'),
|
|
long_description=readme,
|
|
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()
|
|
""".lstrip()
|
|
|
|
|
|
TEMPLATE_MANIFEST = """
|
|
include meta.json
|
|
include LICENSE
|
|
include LICENSES_SOURCES
|
|
include README.md
|
|
""".strip()
|
|
|
|
|
|
TEMPLATE_INIT = """
|
|
from pathlib import Path
|
|
from spacy.util import load_model_from_init_py, get_model_meta
|
|
|
|
{imports}
|
|
|
|
__version__ = get_model_meta(Path(__file__).parent)['version']
|
|
|
|
|
|
def load(**overrides):
|
|
return load_model_from_init_py(__file__, **overrides)
|
|
""".lstrip()
|
|
|
|
|
|
FILENAMES_DOCS = ["LICENSE", "LICENSES_SOURCES", "README.md"]
|