"""
Model Tests
-----------
"""

import os
from io import StringIO

import gensim
import numpy as np
from kwx import model

np.random.seed(42)


def test_extract_frequent_kws(long_text_corpus):
    kws = model.extract_kws(
        method="frequency",
        text_corpus=long_text_corpus,
        input_language="english",
        num_keywords=10,
        prompt_remove_words=False,
    )
    assert kws == [
        "virginamerica",
        "flight",
        "tco",
        "carrieunderwood",
        "ladygaga",
        "fly",
        "virginamerica_ladygaga",
        "virginamerica_ladygaga_carrieunderwood",
        "seat",
        "lax",
    ]


# def test_translate_kw_output(long_text_corpus):
#     kws = model.extract_kws(
#         method="frequency",
#         text_corpus=long_text_corpus,
#         input_language="english",
#         output_language="german",
#         num_keywords=10,
#         prompt_remove_words=False,
#     )
#     assert kws == [
#         "VirginAmerica.",
#         "Flug",
#         "tco.",
#         "Carrie underwood",
#         "Lady Gaga",
#         "Fliege",
#         "virginamerica_ladygaga.",
#         "virginamerica_ladygaga_carrieunderwood.",
#         "Sitz",
#         "lax",
#     ]


def test_extract_TFIDF_kws(long_text_corpus):
    kws = model.extract_kws(
        method="TFIDF",
        text_corpus=long_text_corpus,
        corpuses_to_compare=long_text_corpus,
        input_language="english",
        num_keywords=10,
        prompt_remove_words=False,
    )
    assert kws == [
        "virginamerica",
        "flight",
        "tco",
        "carrieunderwood",
        "ladygaga",
        "fly",
        "virginamerica_ladygaga_carrieunderwood",
        "virginamerica_ladygaga",
        "seat",
        "time",
    ]


if gensim.__version__[0] == "4":

    def test_extract_LDA_kws(long_text_corpus):
        kws = model.extract_kws(
            method="lda",
            text_corpus=long_text_corpus,
            input_language="english",
            num_keywords=10,
            num_topics=10,
            prompt_remove_words=False,
        )
        print(kws)
        assert kws == [
            "virginamerica",
            "tco",
            "love",
            "flight",
            "airline",
            "trip",
            "fly",
            "change",
            "carrieunderwood",
            "week",
        ]

    def test_extract_kws_remove_words(monkeypatch, long_text_corpus):
        monkeypatch.setattr("sys.stdin", StringIO("y\nvirginamerica\nn\n"))

        kws = model.extract_kws(
            method="lda",
            text_corpus=long_text_corpus,
            input_language="english",
            num_keywords=10,
            num_topics=10,
            prompt_remove_words=True,
        )
        print(kws)
        assert kws == [
            "flight",
            "reservation",
            "online",
            "change",
            "check",
            "lax",
            "ladygaga",
            "virginamerica_ladygaga",
            "carrieunderwood",
            "virginamerica_ladygaga_carrieunderwood",
        ]


else:

    def test_extract_LDA_kws(long_text_corpus):
        kws = model.extract_kws(
            method="lda",
            text_corpus=long_text_corpus,
            input_language="english",
            num_keywords=10,
            num_topics=10,
            prompt_remove_words=False,
        )
        assert kws == [
            "virginamerica",
            "customer",
            "flight",
            "tco",
            "airline",
            "trip",
            "fly",
            "carrieunderwood",
            "bag",
            "week",
        ]

    def test_extract_kws_remove_words(monkeypatch, long_text_corpus):
        monkeypatch.setattr("sys.stdin", StringIO("y\nvirginamerica\nn\n"))

        kws = model.extract_kws(
            method="lda",
            text_corpus=long_text_corpus,
            input_language="english",
            num_keywords=10,
            num_topics=10,
            prompt_remove_words=True,
        )
        assert kws == [
            "flight",
            "time",
            "seat",
            "traveler",
            "lax",
            "fly",
            "ladygaga",
            "virginamerica_ladygaga",
            "carrieunderwood",
            "virginamerica_ladygaga_carrieunderwood",
        ]


def test_extract_BERT_kws(long_text_corpus):
    kws = model.extract_kws(
        method="bert",
        text_corpus=long_text_corpus,
        input_language="english",
        num_keywords=10,
        num_topics=10,
        prompt_remove_words=False,
    )
    assert kws == [
        "virginamerica",
        "bad",
        "hawaii",
        "seat",
        "flight",
        "carrieunderwood",
        "fly",
        "tco",
        "time",
        "account",
    ]


def test_gen_files(monkeypatch, long_text_corpus):
    monkeypatch.setattr("sys.stdin", StringIO("y\nrandom_word\nn\n"))

    model.gen_files(
        method="lda",
        text_corpus=long_text_corpus,
        input_language="english",
        num_keywords=10,
        topic_nums_to_compare=[10, 11],
        prompt_remove_words=True,
        verbose=False,
        incl_most_freq=True,
        org_by_pos=True,
        incl_visuals=True,
        save_dir="text_corpus_kws.zip",
        zip_results=True,
    )

    os.remove("text_corpus_kws.zip")
