"""
Implementing `python -m numpydoc` functionality.
"""
import sys
import argparse
import ast

from .docscrape_sphinx import get_doc_object
from .validate import validate, Docstring


def render_object(import_path, config=None):
    """Test numpydoc docstring generation for a given object"""
    # TODO: Move Docstring._load_obj to a better place than validate
    print(get_doc_object(Docstring(import_path).obj,
                         config=dict(config or [])))
    return 0


def validate_object(import_path):
    exit_status = 0
    results = validate(import_path)
    for err_code, err_desc in results["errors"]:
        exit_status += 1
        print(':'.join([import_path, err_code, err_desc]))
    return exit_status


if __name__ == '__main__':
    ap = argparse.ArgumentParser(description=__doc__)
    ap.add_argument('import_path', help='e.g. numpy.ndarray')

    def _parse_config(s):
        key, _, value = s.partition('=')
        value = ast.literal_eval(value)
        return key, value

    ap.add_argument('-c', '--config', type=_parse_config,
                    action='append',
                    help='key=val where val will be parsed by literal_eval, '
                         'e.g. -c use_plots=True. Multiple -c can be used.')
    ap.add_argument('--validate', action='store_true',
                    help='validate the object and report errors')
    args = ap.parse_args()

    if args.validate:
        exit_code = validate_object(args.import_path)
    else:
        exit_code = render_object(args.import_path, args.config)

    sys.exit(exit_code)