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