mirror of
https://github.com/explosion/spaCy.git
synced 2024-11-14 13:47:13 +03:00
111 lines
4.0 KiB
Python
111 lines
4.0 KiB
Python
from typing import Optional, Sequence
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import requests
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import sys
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from wasabi import msg
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import typer
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from ._util import app, Arg, Opt
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from .. import about
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from ..util import is_package, get_base_version, run_command
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from ..errors import OLD_MODEL_SHORTCUTS
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@app.command(
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"download",
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context_settings={"allow_extra_args": True, "ignore_unknown_options": True},
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)
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def download_cli(
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# fmt: off
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ctx: typer.Context,
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model: str = Arg(..., help="Name of pipeline package to download"),
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direct: bool = Opt(False, "--direct", "-d", "-D", help="Force direct download of name + version"),
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# fmt: on
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):
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"""
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Download compatible trained pipeline from the default download path using
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pip. If --direct flag is set, the command expects the full package name with
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version. For direct downloads, the compatibility check will be skipped. All
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additional arguments provided to this command will be passed to `pip install`
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on package installation.
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DOCS: https://nightly.spacy.io/api/cli#download
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AVAILABLE PACKAGES: https://spacy.io/models
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"""
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download(model, direct, *ctx.args)
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def download(model: str, direct: bool = False, *pip_args) -> None:
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if (
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not (is_package("spacy") or is_package("spacy-nightly"))
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and "--no-deps" not in pip_args
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):
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msg.warn(
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"Skipping pipeline package dependencies and setting `--no-deps`. "
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"You don't seem to have the spaCy package itself installed "
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"(maybe because you've built from source?), so installing the "
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"package dependencies would cause spaCy to be downloaded, which "
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"probably isn't what you want. If the pipeline package has other "
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"dependencies, you'll have to install them manually."
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)
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pip_args = pip_args + ("--no-deps",)
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dl_tpl = "{m}-{v}/{m}-{v}.tar.gz#egg={m}=={v}"
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if direct:
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components = model.split("-")
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model_name = "".join(components[:-1])
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version = components[-1]
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download_model(dl_tpl.format(m=model_name, v=version), pip_args)
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else:
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model_name = model
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if model in OLD_MODEL_SHORTCUTS:
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msg.warn(
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f"As of spaCy v3.0, shortcuts like '{model}' are deprecated. Please"
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f"use the full pipeline package name '{OLD_MODEL_SHORTCUTS[model]}' instead."
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)
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model_name = OLD_MODEL_SHORTCUTS[model]
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compatibility = get_compatibility()
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version = get_version(model_name, compatibility)
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download_model(dl_tpl.format(m=model_name, v=version), pip_args)
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msg.good(
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"Download and installation successful",
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f"You can now load the package via spacy.load('{model_name}')",
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)
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def get_compatibility() -> dict:
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version = get_base_version(about.__version__)
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r = requests.get(about.__compatibility__)
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if r.status_code != 200:
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msg.fail(
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f"Server error ({r.status_code})",
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f"Couldn't fetch compatibility table. Please find a package for your spaCy "
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f"installation (v{about.__version__}), and download it manually. "
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f"For more details, see the documentation: "
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f"https://nightly.spacy.io/usage/models",
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exits=1,
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)
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comp_table = r.json()
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comp = comp_table["spacy"]
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if version not in comp:
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msg.fail(f"No compatible packages found for v{version} of spaCy", exits=1)
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return comp[version]
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def get_version(model: str, comp: dict) -> str:
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if model not in comp:
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msg.fail(
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f"No compatible package found for '{model}' (spaCy v{about.__version__})",
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exits=1,
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)
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return comp[model][0]
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def download_model(
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filename: str, user_pip_args: Optional[Sequence[str]] = None
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) -> None:
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download_url = about.__download_url__ + "/" + filename
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pip_args = ["--no-cache-dir"]
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if user_pip_args:
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pip_args.extend(user_pip_args)
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cmd = [sys.executable, "-m", "pip", "install"] + pip_args + [download_url]
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run_command(cmd)
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