def list_model_commands(args):
""" List the commands supported by this model."""
model = args.model
# Correct model name if possible.
matched_model = utils.get_misspelled_pkg(model)
if matched_model is not None:
model = matched_model
logger = logging.getLogger(__name__)
logger.info("List available commands of '{}'".format(model))
# Check that the model is installed.
utils.check_model_installed(model)
entry = utils.load_description(model)
commands = entry['commands']
if args.name_only:
print('\n'.join(list(commands)))
return
msg = "The '{}' model "
meta = entry['meta']
if 'title' not in meta:
title = None
else:
title = utils.lower_first_letter(utils.dropdot(meta['title']))
msg += "({}) "
msg += "supports the following commands:"
msg = msg.format(model, title)
msg = textwrap.fill(msg, width=75)
print(msg)
for cmd in commands:
utils.print_model_cmd_help(entry, cmd)
# Update bash completion list.
utils.update_command_completion(set(commands))
# Suggest next step.
if not args.quiet:
utils.print_next_step('commands', description=entry, model=model)
def list_model_commands(args):
""" List the commands supported by this model."""
# Setup.
model = args.model
# Check that the model is installed.
utils.check_model_installed(model)
info = utils.load_description(model)
if args.name_only:
print('\n'.join(list(info['commands'])))
return
msg = "The model '{}' "
if 'title' not in info['meta']:
title = None
else:
title = utils.lower_first_letter(utils.dropdot(info['meta']['title']))
msg += "({}) "
msg += "supports the following commands:"
msg = msg.format(model, title)
msg = textwrap.fill(msg, width=75)
print(msg)
for c in info['commands']:
print("\n $ {} {} {}".format(CMD, c, model))
c_meta = info['commands'][c]
if type(c_meta) is str:
print(" " + c_meta)
else:
# Handle malformed DESCRIPTION.yaml like
# --
# commands:
# print:
# description: print a textual summary of the model
# score:
# equired: the name of a CSV file containing a header and 6 columns
# description: apply the model to a supplied dataset
desc = c_meta.get('description', None)
if desc is not None:
print(" " + desc)
c_meta = {k:c_meta[k] for k in c_meta if k != 'description'}
if len(c_meta) > 0:
msg = yaml.dump(c_meta, default_flow_style=False)
msg = msg.split('\n')
msg = [" " + ele for ele in msg]
print('\n'.join(msg), end='')
# Update available commands for the model for fast bash tab completion.
utils.update_completion_list(COMPLETION_COMMANDS, set(info['commands']))
# Suggest next step.
if not args.quiet:
utils.print_next_step('commands', description=info, model=model)