mirror of
https://github.com/explosion/spaCy.git
synced 2024-09-21 11:29:13 +03:00
109 lines
4.0 KiB
Python
109 lines
4.0 KiB
Python
from typing import Optional, Sequence
|
|
import requests
|
|
import sys
|
|
from wasabi import msg
|
|
import typer
|
|
|
|
from ._util import app, Arg, Opt
|
|
from .. import about
|
|
from ..util import is_package, get_base_version, run_command
|
|
from ..errors import OLD_MODEL_SHORTCUTS
|
|
|
|
|
|
@app.command(
|
|
"download",
|
|
context_settings={"allow_extra_args": True, "ignore_unknown_options": True},
|
|
)
|
|
def download_cli(
|
|
# fmt: off
|
|
ctx: typer.Context,
|
|
model: str = Arg(..., help="Name of pipeline package to download"),
|
|
direct: bool = Opt(False, "--direct", "-d", "-D", help="Force direct download of name + version"),
|
|
# fmt: on
|
|
):
|
|
"""
|
|
Download compatible trained pipeline from the default download path using
|
|
pip. If --direct flag is set, the command expects the full package name with
|
|
version. For direct downloads, the compatibility check will be skipped. All
|
|
additional arguments provided to this command will be passed to `pip install`
|
|
on package installation.
|
|
|
|
DOCS: https://nightly.spacy.io/api/cli#download
|
|
AVAILABLE PACKAGES: https://spacy.io/models
|
|
"""
|
|
download(model, direct, *ctx.args)
|
|
|
|
|
|
def download(model: str, direct: bool = False, *pip_args) -> None:
|
|
if (
|
|
not (is_package("spacy") or is_package("spacy-nightly"))
|
|
and "--no-deps" not in pip_args
|
|
):
|
|
msg.warn(
|
|
"Skipping pipeline package dependencies and setting `--no-deps`. "
|
|
"You don't seem to have the spaCy package itself installed "
|
|
"(maybe because you've built from source?), so installing the "
|
|
"package dependencies would cause spaCy to be downloaded, which "
|
|
"probably isn't what you want. If the pipeline package has other "
|
|
"dependencies, you'll have to install them manually."
|
|
)
|
|
pip_args = pip_args + ("--no-deps",)
|
|
dl_tpl = "{m}-{v}/{m}-{v}.tar.gz#egg={m}=={v}"
|
|
if direct:
|
|
components = model.split("-")
|
|
model_name = "".join(components[:-1])
|
|
version = components[-1]
|
|
download_model(dl_tpl.format(m=model_name, v=version), pip_args)
|
|
else:
|
|
model_name = model
|
|
if model in OLD_MODEL_SHORTCUTS:
|
|
msg.warn(
|
|
f"As of spaCy v3.0, shortcuts like '{model}' are deprecated. Please"
|
|
f"use the full pipeline package name '{OLD_MODEL_SHORTCUTS[model]}' instead."
|
|
)
|
|
model_name = OLD_MODEL_SHORTCUTS[model]
|
|
compatibility = get_compatibility()
|
|
version = get_version(model_name, compatibility)
|
|
download_model(dl_tpl.format(m=model_name, v=version), pip_args)
|
|
msg.good(
|
|
"Download and installation successful",
|
|
f"You can now load the package via spacy.load('{model_name}')",
|
|
)
|
|
|
|
|
|
def get_compatibility() -> dict:
|
|
version = get_base_version(about.__version__)
|
|
r = requests.get(about.__compatibility__)
|
|
if r.status_code != 200:
|
|
msg.fail(
|
|
f"Server error ({r.status_code})",
|
|
f"Couldn't fetch compatibility table. Please find a package for your spaCy "
|
|
f"installation (v{about.__version__}), and download it manually. "
|
|
f"For more details, see the documentation: "
|
|
f"https://nightly.spacy.io/usage/models",
|
|
exits=1,
|
|
)
|
|
comp_table = r.json()
|
|
comp = comp_table["spacy"]
|
|
if version not in comp:
|
|
msg.fail(f"No compatible packages found for v{version} of spaCy", exits=1)
|
|
return comp[version]
|
|
|
|
|
|
def get_version(model: str, comp: dict) -> str:
|
|
if model not in comp:
|
|
msg.fail(
|
|
f"No compatible package found for '{model}' (spaCy v{about.__version__})",
|
|
exits=1,
|
|
)
|
|
return comp[model][0]
|
|
|
|
|
|
def download_model(
|
|
filename: str, user_pip_args: Optional[Sequence[str]] = None
|
|
) -> None:
|
|
download_url = about.__download_url__ + "/" + filename
|
|
pip_args = user_pip_args if user_pip_args is not None else []
|
|
cmd = [sys.executable, "-m", "pip", "install"] + pip_args + [download_url]
|
|
run_command(cmd)
|