# coding: utf-8
from __future__ import unicode_literals

import pytest
from spacy.lang.ru import Russian

from ...util import get_doc


@pytest.fixture
def ru_lemmatizer():
    pytest.importorskip("pymorphy2")
    return Russian.Defaults.create_lemmatizer()


def test_ru_doc_lemmatization(ru_tokenizer):
    words = ["мама", "мыла", "раму"]
    tags = [
        "NOUN__Animacy=Anim|Case=Nom|Gender=Fem|Number=Sing",
        "VERB__Aspect=Imp|Gender=Fem|Mood=Ind|Number=Sing|Tense=Past|VerbForm=Fin|Voice=Act",
        "NOUN__Animacy=Anim|Case=Acc|Gender=Fem|Number=Sing",
    ]
    doc = get_doc(ru_tokenizer.vocab, words=words, tags=tags)
    lemmas = [token.lemma_ for token in doc]
    assert lemmas == ["мама", "мыть", "рама"]


@pytest.mark.parametrize(
    "text,lemmas",
    [
        ("гвоздики", ["гвоздик", "гвоздика"]),
        ("люди", ["человек"]),
        ("реки", ["река"]),
        ("кольцо", ["кольцо"]),
        ("пепперони", ["пепперони"]),
    ],
)
def test_ru_lemmatizer_noun_lemmas(ru_lemmatizer, text, lemmas):
    assert sorted(ru_lemmatizer.noun(text)) == lemmas


@pytest.mark.parametrize(
    "text,pos,morphology,lemma",
    [
        ("рой", "NOUN", None, "рой"),
        ("рой", "VERB", None, "рыть"),
        ("клей", "NOUN", None, "клей"),
        ("клей", "VERB", None, "клеить"),
        ("три", "NUM", None, "три"),
        ("кос", "NOUN", {"Number": "Sing"}, "кос"),
        ("кос", "NOUN", {"Number": "Plur"}, "коса"),
        ("кос", "ADJ", None, "косой"),
        ("потом", "NOUN", None, "пот"),
        ("потом", "ADV", None, "потом"),
    ],
)
def test_ru_lemmatizer_works_with_different_pos_homonyms(
    ru_lemmatizer, text, pos, morphology, lemma
):
    assert ru_lemmatizer(text, pos, morphology) == [lemma]


@pytest.mark.parametrize(
    "text,morphology,lemma",
    [
        ("гвоздики", {"Gender": "Fem"}, "гвоздика"),
        ("гвоздики", {"Gender": "Masc"}, "гвоздик"),
        ("вина", {"Gender": "Fem"}, "вина"),
        ("вина", {"Gender": "Neut"}, "вино"),
    ],
)
def test_ru_lemmatizer_works_with_noun_homonyms(ru_lemmatizer, text, morphology, lemma):
    assert ru_lemmatizer.noun(text, morphology) == [lemma]


def test_ru_lemmatizer_punct(ru_lemmatizer):
    assert ru_lemmatizer.punct("«") == ['"']
    assert ru_lemmatizer.punct("»") == ['"']