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"""
Nestedcompleter for completion of hierarchical data structures.
"""
from typing import Any, Dict, Iterable, Mapping, Optional, Set, Union
from prompt_toolkit.completion import CompleteEvent, Completer, Completion
from prompt_toolkit.completion.word_completer import WordCompleter
from prompt_toolkit.document import Document
__all__ = ["NestedCompleter"]
# NestedDict = Mapping[str, Union['NestedDict', Set[str], None, Completer]]
NestedDict = Mapping[str, Union[Any, Set[str], None, Completer]]
class NestedCompleter(Completer):
"""
Completer which wraps around several other completers, and calls any the
one that corresponds with the first word of the input.
By combining multiple `NestedCompleter` instances, we can achieve multiple
hierarchical levels of autocompletion. This is useful when `WordCompleter`
is not sufficient.
If you need multiple levels, check out the `from_nested_dict` classmethod.
"""
def __init__(
self, options: Dict[str, Optional[Completer]], ignore_case: bool = True
) -> None:
self.options = options
self.ignore_case = ignore_case
def __repr__(self) -> str:
return f"NestedCompleter({self.options!r}, ignore_case={self.ignore_case!r})"
@classmethod
def from_nested_dict(cls, data: NestedDict) -> "NestedCompleter":
"""
Create a `NestedCompleter`, starting from a nested dictionary data
structure, like this:
.. code::
data = {
'show': {
'version': None,
'interfaces': None,
'clock': None,
'ip': {'interface': {'brief'}}
},
'exit': None
'enable': None
}
The value should be `None` if there is no further completion at some
point. If all values in the dictionary are None, it is also possible to
use a set instead.
Values in this data structure can be a completers as well.
"""
options: Dict[str, Optional[Completer]] = {}
for key, value in data.items():
if isinstance(value, Completer):
options[key] = value
elif isinstance(value, dict):
options[key] = cls.from_nested_dict(value)
elif isinstance(value, set):
options[key] = cls.from_nested_dict({item: None for item in value})
else:
assert value is None
options[key] = None
return cls(options)
def get_completions(
self, document: Document, complete_event: CompleteEvent
) -> Iterable[Completion]:
# Split document.
text = document.text_before_cursor.lstrip()
stripped_len = len(document.text_before_cursor) - len(text)
# If there is a space, check for the first term, and use a
# subcompleter.
if " " in text:
first_term = text.split()[0]
completer = self.options.get(first_term)
# If we have a sub completer, use this for the completions.
if completer is not None:
remaining_text = text[len(first_term) :].lstrip()
move_cursor = len(text) - len(remaining_text) + stripped_len
new_document = Document(
remaining_text,
cursor_position=document.cursor_position - move_cursor,
)
yield from completer.get_completions(new_document, complete_event)
# No space in the input: behave exactly like `WordCompleter`.
else:
completer = WordCompleter(
list(self.options.keys()), ignore_case=self.ignore_case
)
yield from completer.get_completions(document, complete_event)
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