# coding: utf-8
from __future__ import unicode_literals

from pytest import approx
from spacy.gold import GoldParse
from spacy.scorer import Scorer
from .util import get_doc

test_ner_cardinal = [
    ["100 - 200", {"entities": [[0, 3, "CARDINAL"], [6, 9, "CARDINAL"]]}]
]

test_ner_apple = [
    [
        "Apple is looking at buying U.K. startup for $1 billion",
        {"entities": [(0, 5, "ORG"), (27, 31, "GPE"), (44, 54, "MONEY")]},
    ]
]


def test_ner_per_type(en_vocab):
    # Gold and Doc are identical
    scorer = Scorer()
    for input_, annot in test_ner_cardinal:
        doc = get_doc(
            en_vocab,
            words=input_.split(" "),
            ents=[[0, 1, "CARDINAL"], [2, 3, "CARDINAL"]],
        )
        gold = GoldParse(doc, entities=annot["entities"])
        scorer.score(doc, gold)
    results = scorer.scores

    assert results["ents_p"] == 100
    assert results["ents_f"] == 100
    assert results["ents_r"] == 100
    assert results["ents_per_type"]["CARDINAL"]["p"] == 100
    assert results["ents_per_type"]["CARDINAL"]["f"] == 100
    assert results["ents_per_type"]["CARDINAL"]["r"] == 100

    # Doc has one missing and one extra entity
    # Entity type MONEY is not present in Doc
    scorer = Scorer()
    for input_, annot in test_ner_apple:
        doc = get_doc(
            en_vocab,
            words=input_.split(" "),
            ents=[[0, 1, "ORG"], [5, 6, "GPE"], [6, 7, "ORG"]],
        )
        gold = GoldParse(doc, entities=annot["entities"])
        scorer.score(doc, gold)
    results = scorer.scores

    assert results["ents_p"] == approx(66.66666)
    assert results["ents_r"] == approx(66.66666)
    assert results["ents_f"] == approx(66.66666)
    assert "GPE" in results["ents_per_type"]
    assert "MONEY" in results["ents_per_type"]
    assert "ORG" in results["ents_per_type"]
    assert results["ents_per_type"]["GPE"]["p"] == 100
    assert results["ents_per_type"]["GPE"]["r"] == 100
    assert results["ents_per_type"]["GPE"]["f"] == 100
    assert results["ents_per_type"]["MONEY"]["p"] == 0
    assert results["ents_per_type"]["MONEY"]["r"] == 0
    assert results["ents_per_type"]["MONEY"]["f"] == 0
    assert results["ents_per_type"]["ORG"]["p"] == 50
    assert results["ents_per_type"]["ORG"]["r"] == 100
    assert results["ents_per_type"]["ORG"]["f"] == approx(66.66666)