File size: 3,109 Bytes
0a7346e
b546526
 
 
 
 
 
 
 
 
0a7346e
b546526
 
 
 
 
 
 
 
 
 
0a7346e
b546526
 
 
 
 
 
 
 
 
 
 
 
 
0a7346e
b546526
 
 
 
 
 
 
0a7346e
b546526
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0a7346e
b546526
0a7346e
b546526
 
 
 
 
 
0a7346e
b546526
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
from abc import ABC
from modules.module_rankSents import RankSents
from modules.module_crowsPairs import CrowsPairs
from typing import List, Tuple

class Connector(ABC):
    def parse_word(
        self, 
        word: str
    ) -> str:
        
        return word.lower().strip()

    def parse_words(
        self, 
        array_in_string: str
    ) -> List[str]:

        words = array_in_string.strip()
        if not words:
            return []

        words = [
            self.parse_word(word) 
            for word in words.split(',') if word.strip() != ''
        ]
        return words

    def process_error(
        self, 
        err: str
    ) -> str:

        if err:
            err = "<center><h3>" + err + "</h3></center>"
        return err    

class PhraseBiasExplorerConnector(Connector):
    def __init__(
        self, 
        **kwargs
    ) -> None:

        if 'language_model' in kwargs and 'lang' in kwargs:
            language_model = kwargs.get('language_model')
            lang =  kwargs.get('lang')
        else:
            raise KeyError

        self.phrase_bias_explorer = RankSents(
            language_model=language_model,
            lang=lang
        )

    def rank_sentence_options(
        self,
        sent: str,
        word_list: str,
        banned_word_list: str,
        useArticles: bool,
        usePrepositions: bool,
        useConjunctions: bool
    ) -> Tuple:

        sent = " ".join(sent.strip().replace("*"," * ").split())

        err = self.phrase_bias_explorer.errorChecking(sent)
        if err:
            return self.process_error(err), "", ""

        word_list = self.parse_words(word_list)
        banned_word_list = self.parse_words(banned_word_list)

        all_plls_scores = self.phrase_bias_explorer.rank(
            sent, 
            word_list, 
            banned_word_list, 
            useArticles, 
            usePrepositions, 
            useConjunctions
        )
        
        all_plls_scores = self.phrase_bias_explorer.Label.compute(all_plls_scores)
        return self.process_error(err), all_plls_scores, ""

class CrowsPairsExplorerConnector(Connector):
    def __init__(
        self, 
        **kwargs
    ) -> None:

        if 'language_model' in kwargs:
            language_model = kwargs.get('language_model')
        else:
            raise KeyError
        
        self.crows_pairs_explorer = CrowsPairs(
            language_model=language_model
        )

    def compare_sentences(
        self,
        sent0: str,
        sent1: str,
        sent2: str,
        sent3: str,
        sent4: str,
        sent5: str
    ) -> Tuple:

        sent_list = [sent0, sent1, sent2, sent3, sent4, sent5]
        err = self.crows_pairs_explorer.errorChecking(
            sent_list
        )

        if err:
            return self.process_error(err), "", ""

        all_plls_scores = self.crows_pairs_explorer.rank(
            sent_list
        )
        
        all_plls_scores = self.crows_pairs_explorer.Label.compute(all_plls_scores)
        return self.process_error(err), all_plls_scores, ""