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#!/usr/local/bin/python3

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################################################################################
#
# This script contains the main part of hallgrim and ist the only script that
# needs to ne invoked. The steps it takes to generate a task are as follows:
#
# * parse the commandline arguments with argparse
# * for each script determine the type and validate correct syntax
# * delegate the script to a handler for the specific type
# * the handler parses the script into the intermediate represenatation (mostly
# arrays)
# * the handler passes the needed information to the script generator, which
# will ptint the final xml file.
# * a finisher compresses data if needed (needs to be implemented, maybe as s
# eperate subparser).
#
################################################################################

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import importlib
import argparse
import os
import sys
# local import

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from hallgrim.IliasXMLCreator import packer

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from hallgrim.custom_markdown import get_markdown

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from hallgrim.messages import *
from hallgrim.parser import *

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scaffolding = r'''
meta = {{
'author': '{}',
'title': '{}',
'type': '{}',
'points': {},
}}
task = """ decription """
{}
feedback = """ decription """
'''

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def file_to_module(name):

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return name.rstrip('.py').replace('/', '.')
def type_selector(type):

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return 'MULTIPLE CHOICE QUESTION'
if 'single' in type:

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return 'SINGLE CHOICE QUESTION'

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if 'gap' in type:
return 'CLOZE QUESTION'

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def file_exists(path):
if not os.path.exists(path):
msg = 'The script "{}" does not exist.'.format(path)
raise argparse.ArgumentTypeError(msg)
return path

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def script_is_valid(script, required):
for field in required:
if not hasattr(script, field):
error("script does not export '{}' field.".format(field))
if any(not hasattr(script, field) for field in required):
abort("Script is invalid (see above)")

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def parseme():
parser = argparse.ArgumentParser()

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subparsers = parser.add_subparsers(dest="command")
parser_new = subparsers.add_parser(
"new", help="The utility the generate new scripts.")

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parser_new.add_argument(
"name",
help="The name of the new script",
metavar='NAME'

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)
parser_new.add_argument(
"-t",
"--type",
choices=['multi', 'single', 'gap', 'alignment'],
default='multi',
metavar='TYPE'
)
parser_new.add_argument(
"-a",
"--author",
help="Name of the scripts author",
default='ILIAS Author',
metavar='AUTHOR'
)
parser_new.add_argument(
"-p",
"--points",
help='Points given for correct answer (different behavior for different questions)',
type=float,

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default=0.0,

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metavar='POINTS',
)
parser_gen = subparsers.add_parser(
"gen", help="Subcommand to convert from script to xml.")

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parser_gen.add_argument(

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'-o',
'--out',

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help='''Specify different output file. If no argument is given the Name
of the script is used.''',

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metavar='FILE')

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parser_gen.add_argument(

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help='Script to execute',

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nargs='+',

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type=file_exists,

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metavar='FILE')

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parser_gen.add_argument(
'-i',
'--instances',
help='How many instances should be produced (Only for parametrized questions).',
type=int,
default=1,
metavar='COUNT')

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args = parser.parse_args()

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if args.command == 'gen':

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delegator(args.out, args.input, args.instances)

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if args.command == 'new':
handle_new_script(args.name, args.type, args.author, args.points)
if args.command == None:
parser.print_help()

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def delegator(output, script_list, instances):
for script_name in filter(lambda a: a.endswith('.py'), script_list):
script = importlib.import_module(file_to_module(script_name))
handler = {
'gap': handle_gap_questions,
'single': handle_choice_questions,

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'single choice': handle_choice_questions,
'multi': handle_choice_questions,

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'multiple choice': handle_choice_questions
}[script.meta['type']]

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handler(output, script, instances)

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def handle_gap_questions(output, script, instances):
script_is_valid(script, required=['meta', 'task', 'feedback'])
data = {
'type': type_selector(script.meta['type']),
'description': "_description",
'gap_list': gap_parser(script.task),
'author': script.meta['author'],
'title': script.meta['title'],
'shuffle': script.meta['shuffle'] if 'shuffle' in script.meta else True,
'feedback': markdown(script.feedback),
'gap_length': script.meta['gap_length'] if 'gap_length' in script.meta else 20,
}
output = os.path.join(
'output', script.meta['title']) + '.xml' if not output else output
packer.convert_and_print(data, output, instances)
info('Processed "{}" and'.format(script.__name__))
info('wrote xml "{}"'.format(output), notag=True)

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def handle_choice_questions(output, script, instances):
script_is_valid(script, required=['meta', 'task', 'choices', 'feedback'])

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data = {

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'type': type_selector(script.meta['type']),

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'description': "_description",
'question_text': markdown(script.task),

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'author': script.meta['author'],
'title': script.meta['title'],
'maxattempts': '0',

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'shuffle': script.meta['shuffle'] if 'shuffle' in script.meta else True,
'questions': choice_parser(script.choices, script.meta['points']),

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'feedback': markdown(script.feedback)

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}
output = os.path.join(
'output', script.meta['title']) + '.xml' if not output else output

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packer.convert_and_print(data, output, instances)

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info('Processed "{}" and'.format(script.__name__))
info('wrote xml "{}"'.format(output), notag=True)
def handle_new_script(name, qtype, author, points):

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with open('scripts/' + name + '.py', 'w') as new_script:

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if qtype in ['multiple choice', 'single choice']:
choice = '\nchoices = """\n[X] A\n[ ] B\n[ ] C\n[X] D\n"""\n'

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print(scaffolding.format(
author, name, qtype, points, choice).strip(), file=new_script)
info('Generated new script "{}."'.format(new_script.name))

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if __name__ == '__main__':

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markdown = get_markdown()

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parseme()