from os.path import abspath, dirname, join

from IPython.terminal.interactiveshell import KeyBindingManager


def name(c):
    s = c.__class__.__name__
    return log_filters[s] if s in log_filters.keys() else s


def sentencize(s):
    """Extract first sentence
    """
    s = s.replace('\n', ' ').strip().split('.')
    s = s[0] if len(s) else s
    try:
        return " ".join(s.split())
    except AttributeError:
        return s


def most_common(lst, n=3):
    """Most common elements occurring more then `n` times
    """
    from collections import Counter

    c = Counter(lst)
    return [k for (k, v) in c.items() if k and v > n]


def multi_filter_str(flt):
    """Yield readable conditional filter
    """
    assert hasattr(flt, 'filters'), 'Conditional filter required'

    yield name(flt)
    for subfilter in flt.filters:
        yield name(subfilter)
        if hasattr(subfilter, 'filter'):
            yield name(subfilter.filter)


log_filters = dict(_AndList='(And)', _OrList='(Or)', _Invert='(Inv)')

kbm = KeyBindingManager.for_prompt()
ipy_bindings = kbm.registry.key_bindings

dummy_docs = []  # ignore bindings without proper documentation

common_docs = most_common([kb.handler.__doc__ for kb in ipy_bindings])
if common_docs:
    dummy_docs.extend(common_docs)

dummy_docs = list(set(dummy_docs))

single_filter = dict()
multi_filter = dict()
for kb in ipy_bindings:
    doc = kb.handler.__doc__
    if not doc or doc in dummy_docs:
        continue

    shortcut = ' '.join([k if isinstance(k, str) else k.name for k in kb.keys])
    shortcut += shortcut.endswith('\\') and '\\' or ''
    if hasattr(kb.filter, 'filters'):
        flt = ' '.join(multi_filter_str(kb.filter))
        multi_filter[(shortcut, flt)] = sentencize(doc)
    else:
        single_filter[(shortcut, name(kb.filter))] = sentencize(doc)


if __name__ == '__main__':

    here = abspath(dirname(__file__))
    dest = join(here, 'source', 'config', 'shortcuts')

    with open(join(dest, 'single_filtered.csv'), 'w') as csv:
        for k, v in sorted(single_filter.items()):
            csv.write(':kbd:`{}`\t{}\t{}\n'.format(k[0], k[1], v))

    with open(join(dest, 'multi_filtered.csv'), 'w') as csv:
        for k, v in sorted(multi_filter.items()):
            csv.write(':kbd:`{}`\t{}\t{}\n'.format(k[0], k[1], v))

from os.path import abspath, dirname, join

from IPython.terminal.interactiveshell import KeyBindingManager


def name(c):
    s = c.__class__.__name__
    if s == '_Invert':
        return '(Not: %s)' % name(c.filter)
    if s in log_filters.keys():
        return '(%s: %s)' % (log_filters[s], ', '.join(name(x) for x in c.filters))
    return log_filters[s] if s in log_filters.keys() else s


def sentencize(s):
    """Extract first sentence
    """
    s = s.replace('\n', ' ').strip().split('.')
    s = s[0] if len(s) else s
    try:
        return " ".join(s.split())
    except AttributeError:
        return s


def most_common(lst, n=3):
    """Most common elements occurring more then `n` times
    """
    from collections import Counter

    c = Counter(lst)
    return [k for (k, v) in c.items() if k and v > n]


def multi_filter_str(flt):
    """Yield readable conditional filter
    """
    assert hasattr(flt, 'filters'), 'Conditional filter required'
    yield name(flt)


log_filters = dict(_AndList='And', _OrList='Or')
log_invert =  {'_Invert'}

kbm = KeyBindingManager.for_prompt()
ipy_bindings = kbm.registry.key_bindings

dummy_docs = []  # ignore bindings without proper documentation

common_docs = most_common([kb.handler.__doc__ for kb in ipy_bindings])
if common_docs:
    dummy_docs.extend(common_docs)

dummy_docs = list(set(dummy_docs))

single_filter = dict()
multi_filter = dict()
for kb in ipy_bindings:
    doc = kb.handler.__doc__
    if not doc or doc in dummy_docs:
        continue

    shortcut = ' '.join([k if isinstance(k, str) else k.name for k in kb.keys])
    shortcut += shortcut.endswith('\\') and '\\' or ''
    if hasattr(kb.filter, 'filters'):
        flt = ' '.join(multi_filter_str(kb.filter))
        multi_filter[(shortcut, flt)] = sentencize(doc)
    else:
        single_filter[(shortcut, name(kb.filter))] = sentencize(doc)


if __name__ == '__main__':

    here = abspath(dirname(__file__))
    dest = join(here, 'source', 'config', 'shortcuts')

    with open(join(dest, 'single_filtered.csv'), 'w') as csv:
        for k, v in sorted(single_filter.items()):
            csv.write(':kbd:`{}`\t{}\t{}\n'.format(k[0], k[1], v))

    with open(join(dest, 'multi_filtered.csv'), 'w') as csv:
        for k, v in sorted(multi_filter.items()):
            csv.write(':kbd:`{}`\t{}\t{}\n'.format(k[0], k[1], v))

Improve grouping of filter