spaCy/spacy/cli/download.py
2019-08-07 13:18:11 +02:00

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# coding: utf8
from __future__ import unicode_literals
import plac
import requests
import os
import subprocess
import sys
import pkg_resources
from wasabi import Printer
from .link import link
from ..util import get_package_path
from .. import about
msg = Printer()
@plac.annotations(
model=("Model to download (shortcut or name)", "positional", None, str),
direct=("Force direct download of name + version", "flag", "d", bool),
pip_args=("Additional arguments to be passed to `pip install` on model install"),
)
def download(model, direct=False, *pip_args):
"""
Download compatible model from default download path using pip. Model
can be shortcut, model name or, if --direct flag is set, full model name
with version. For direct downloads, the compatibility check will be skipped.
"""
dl_tpl = "{m}-{v}/{m}-{v}.tar.gz#egg={m}=={v}"
if direct:
components = model.split("-")
model_name = "".join(components[:-1])
version = components[-1]
dl = download_model(dl_tpl.format(m=model_name, v=version), pip_args)
else:
shortcuts = get_json(about.__shortcuts__, "available shortcuts")
model_name = shortcuts.get(model, model)
compatibility = get_compatibility()
version = get_version(model_name, compatibility)
dl = download_model(dl_tpl.format(m=model_name, v=version), pip_args)
if dl != 0: # if download subprocess doesn't return 0, exit
sys.exit(dl)
msg.good(
"Download and installation successful",
"You can now load the model via spacy.load('{}')".format(model_name),
)
# Only create symlink if the model is installed via a shortcut like 'en'.
# There's no real advantage over an additional symlink for en_core_web_sm
# and if anything, it's more error prone and causes more confusion.
if model in shortcuts:
try:
# Get package path here because link uses
# pip.get_installed_distributions() to check if model is a
# package, which fails if model was just installed via
# subprocess
package_path = get_package_path(model_name)
link(model_name, model, force=True, model_path=package_path)
except: # noqa: E722
# Dirty, but since spacy.download and the auto-linking is
# mostly a convenience wrapper, it's best to show a success
# message and loading instructions, even if linking fails.
msg.warn(
"Download successful but linking failed",
"Creating a shortcut link for '{}' didn't work (maybe you "
"don't have admin permissions?), but you can still load "
"the model via its full package name: "
"nlp = spacy.load('{}')".format(model, model_name),
)
# If a model is downloaded and then loaded within the same process, our
# is_package check currently fails, because pkg_resources.working_set
# is not refreshed automatically (see #3923). We're trying to work
# around this here be requiring the package explicitly.
try:
pkg_resources.working_set.require(model_name)
except: # noqa: E722
# Maybe it's possible to remove this mostly worried about cross-
# platform and cross-Python copmpatibility here
pass
def get_json(url, desc):
r = requests.get(url)
if r.status_code != 200:
msg.fail(
"Server error ({})".format(r.status_code),
"Couldn't fetch {}. Please find a model for your spaCy "
"installation (v{}), and download it manually. For more "
"details, see the documentation: "
"https://spacy.io/usage/models".format(desc, about.__version__),
exits=1,
)
return r.json()
def get_compatibility():
version = about.__version__
version = version.rsplit(".dev", 1)[0]
comp_table = get_json(about.__compatibility__, "compatibility table")
comp = comp_table["spacy"]
if version not in comp:
msg.fail("No compatible models found for v{} of spaCy".format(version), exits=1)
return comp[version]
def get_version(model, comp):
model = model.rsplit(".dev", 1)[0]
if model not in comp:
msg.fail(
"No compatible model found for '{}' "
"(spaCy v{}).".format(model, about.__version__),
exits=1,
)
return comp[model][0]
def download_model(filename, user_pip_args=None):
download_url = about.__download_url__ + "/" + filename
pip_args = ["--no-cache-dir", "--no-deps"]
if user_pip_args:
pip_args.extend(user_pip_args)
cmd = [sys.executable, "-m", "pip", "install"] + pip_args + [download_url]
return subprocess.call(cmd, env=os.environ.copy())