Fix CLI docstrings and add command as first argument

Workaround for Plac

spacy/__init__.py

@@ -4,7 +4,7 @@ from __future__ import unicode_literals
 import importlib
 
 from .compat import basestring_
-from .cli.info import info
+from .cli.info import info as cli_info
 from .glossary import explain
 from .deprecated import resolve_load_name
 from . import util
@@ -20,3 +20,7 @@ def load(name, **overrides):
     overrides['meta'] = meta
     overrides['path'] = model_path
     return cls(**overrides)
+
+
+def info(model=None, markdown=False):
+    return cli_info(None, model, markdown)

spacy/cli/convert.py

@@ -24,8 +24,9 @@ CONVERTERS = {
     n_sents=("Number of sentences per doc", "option", "n", float),
     morphology=("Enable appending morphology to tags", "flag", "m", bool)
 )
-def convert(_, input_file, output_dir, n_sents, morphology):
-    """Convert files into JSON format for use with train command and other
+def convert(cmd, input_file, output_dir, n_sents, morphology):
+    """
+    Convert files into JSON format for use with train command and other
     experiment management functions.
     """
     input_path = Path(input_file)

spacy/cli/download.py

@@ -17,8 +17,9 @@ from .. import about
     direct=("force direct download. Needs model name with version and won't "
             "perform compatibility check", "flag", "d", bool)
 )
-def download(model, direct=False):
-    """Download compatible model from default download path using pip. Model
+def download(cmd, model, direct=False):
+    """
+    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.
     """
@@ -31,7 +32,7 @@ def download(model, direct=False):
         version = get_version(model_name, compatibility)
         download_model('{m}-{v}/{m}-{v}.tar.gz'.format(m=model_name, v=version))
         try:
-            link(model_name, model, force=True)
+            link(None, model_name, model, force=True)
         except:
             # Dirty, but since spacy.download and the auto-linking is mostly
             # a convenience wrapper, it's best to show a success message and

spacy/cli/info.py

@@ -14,7 +14,7 @@ from .. import util
     model=("optional: shortcut link of model", "positional", None, str),
     markdown=("generate Markdown for GitHub issues", "flag", "md", str)
 )
-def info(model=None, markdown=False):
+def info(cmd, model=None, markdown=False):
     """Print info about spaCy installation. If a model shortcut link is
     speficied as an argument, print model information. Flag --markdown
     prints details in Markdown for easy copy-pasting to GitHub issues.

spacy/cli/link.py

@@ -14,8 +14,9 @@ from .. import util
     link_name=("name of shortuct link to create", "positional", None, str),
     force=("force overwriting of existing link", "flag", "f", bool)
 )
-def link(origin, link_name, force=False):
-    """Create a symlink for models within the spacy/data directory. Accepts
+def link(cmd, origin, link_name, force=False):
+    """
+    Create a symlink for models within the spacy/data directory. Accepts
     either the name of a pip package, or the local path to the model data
     directory. Linking models allows loading them via spacy.load(link_name).
     """

spacy/cli/package.py

@@ -18,8 +18,9 @@ from .. import about
     meta=("path to meta.json", "option", "m", str),
     force=("force overwriting of existing folder in output directory", "flag", "f", bool)
 )
-def package(input_dir, output_dir, meta, force):
-    """Generate Python package for model data, including meta and required
+def package(cmd, input_dir, output_dir, meta=None, force=False):
+    """
+    Generate Python package for model data, including meta and required
     installation files. A new directory will be created in the specified
     output directory, and model data will be copied over.
     """

spacy/cli/train.py

@@ -32,9 +32,11 @@ from .. import displacy
     no_parser=("Don't train parser", "flag", "P", bool),
     no_entities=("Don't train NER", "flag", "N", bool)
 )
-def train(_, lang, output_dir, train_data, dev_data, n_iter=20, n_sents=0,
+def train(cmd, lang, output_dir, train_data, dev_data, n_iter=20, n_sents=0,
           use_gpu=False, no_tagger=False, no_parser=False, no_entities=False):
-    """Train a model. Expects data in spaCy's JSON format."""
+    """
+    Train a model. Expects data in spaCy's JSON format.
+    """
     n_sents = n_sents or None
     output_path = util.ensure_path(output_dir)
     train_path = util.ensure_path(train_data)