|
1 |
| -# Copyright (c) Microsoft Corporation. All rights reserved. |
2 |
| -# Licensed under the MIT License. |
3 |
| - |
4 |
| -from typing import List, Union |
5 |
| -from recognizers_number import NumberModel, NumberRecognizer, OrdinalModel |
6 |
| -from recognizers_text import Culture |
7 |
| - |
8 |
| - |
9 |
| -from .choice import Choice |
10 |
| -from .find import Find |
11 |
| -from .find_choices_options import FindChoicesOptions |
12 |
| -from .found_choice import FoundChoice |
13 |
| -from .model_result import ModelResult |
14 |
| - |
15 |
| - |
16 |
| -class ChoiceRecognizers: |
17 |
| - """ Contains methods for matching user input against a list of choices. """ |
18 |
| - |
19 |
| - @staticmethod |
20 |
| - def recognize_choices( |
21 |
| - utterance: str, |
22 |
| - choices: List[Union[str, Choice]], |
23 |
| - options: FindChoicesOptions = None, |
24 |
| - ) -> List[ModelResult]: |
25 |
| - """ |
26 |
| - Matches user input against a list of choices. |
27 |
| -
|
28 |
| - This is layered above the `Find.find_choices()` function, and adds logic to let the user specify |
29 |
| - their choice by index (they can say "one" to pick `choice[0]`) or ordinal position |
30 |
| - (they can say "the second one" to pick `choice[1]`.) |
31 |
| - The user's utterance is recognized in the following order: |
32 |
| -
|
33 |
| - - By name using `find_choices()` |
34 |
| - - By 1's based ordinal position. |
35 |
| - - By 1's based index position. |
36 |
| -
|
37 |
| - Parameters: |
38 |
| - ----------- |
39 |
| -
|
40 |
| - utterance: The input. |
41 |
| -
|
42 |
| - choices: The list of choices. |
43 |
| -
|
44 |
| - options: (Optional) Options to control the recognition strategy. |
45 |
| -
|
46 |
| - Returns: |
47 |
| - -------- |
48 |
| - A list of found choices, sorted by most relevant first. |
49 |
| - """ |
50 |
| - if utterance is None: |
51 |
| - utterance = "" |
52 |
| - |
53 |
| - # Normalize list of choices |
54 |
| - choices_list = [ |
55 |
| - Choice(value=choice) if isinstance(choice, str) else choice |
56 |
| - for choice in choices |
57 |
| - ] |
58 |
| - |
59 |
| - # Try finding choices by text search first |
60 |
| - # - We only want to use a single strategy for returning results to avoid issues where utterances |
61 |
| - # like the "the third one" or "the red one" or "the first division book" would miss-recognize as |
62 |
| - # a numerical index or ordinal as well. |
63 |
| - locale = options.locale if (options and options.locale) else Culture.English |
64 |
| - matched = Find.find_choices(utterance, choices_list, options) |
65 |
| - if not matched: |
66 |
| - # Next try finding by ordinal |
67 |
| - matches = ChoiceRecognizers._recognize_ordinal(utterance, locale) |
68 |
| - |
69 |
| - if matches: |
70 |
| - for match in matches: |
71 |
| - ChoiceRecognizers._match_choice_by_index( |
72 |
| - choices_list, matched, match |
73 |
| - ) |
74 |
| - else: |
75 |
| - # Finally try by numerical index |
76 |
| - matches = ChoiceRecognizers._recognize_number(utterance, locale) |
77 |
| - |
78 |
| - for match in matches: |
79 |
| - ChoiceRecognizers._match_choice_by_index( |
80 |
| - choices_list, matched, match |
81 |
| - ) |
82 |
| - |
83 |
| - # Sort any found matches by their position within the utterance. |
84 |
| - # - The results from find_choices() are already properly sorted so we just need this |
85 |
| - # for ordinal & numerical lookups. |
86 |
| - matched = sorted(matched, key=lambda model_result: model_result.start) |
87 |
| - |
88 |
| - return matched |
89 |
| - |
90 |
| - @staticmethod |
91 |
| - def _recognize_ordinal(utterance: str, culture: str) -> List[ModelResult]: |
92 |
| - model: OrdinalModel = NumberRecognizer(culture).get_ordinal_model(culture) |
93 |
| - |
94 |
| - return list( |
95 |
| - map(ChoiceRecognizers._found_choice_constructor, model.parse(utterance)) |
96 |
| - ) |
97 |
| - |
98 |
| - @staticmethod |
99 |
| - def _match_choice_by_index( |
100 |
| - choices: List[Choice], matched: List[ModelResult], match: ModelResult |
101 |
| - ): |
102 |
| - try: |
103 |
| - index: int = int(match.resolution.value) - 1 |
104 |
| - if 0 <= index < len(choices): |
105 |
| - choice = choices[index] |
106 |
| - |
107 |
| - matched.append( |
108 |
| - ModelResult( |
109 |
| - start=match.start, |
110 |
| - end=match.end, |
111 |
| - type_name="choice", |
112 |
| - text=match.text, |
113 |
| - resolution=FoundChoice( |
114 |
| - value=choice.value, index=index, score=1.0 |
115 |
| - ), |
116 |
| - ) |
117 |
| - ) |
118 |
| - except: |
119 |
| - # noop here, as in dotnet/node repos |
120 |
| - pass |
121 |
| - |
122 |
| - @staticmethod |
123 |
| - def _recognize_number(utterance: str, culture: str) -> List[ModelResult]: |
124 |
| - model: NumberModel = NumberRecognizer(culture).get_number_model(culture) |
125 |
| - |
126 |
| - return list( |
127 |
| - map(ChoiceRecognizers._found_choice_constructor, model.parse(utterance)) |
128 |
| - ) |
129 |
| - |
130 |
| - @staticmethod |
131 |
| - def _found_choice_constructor(value_model: ModelResult) -> ModelResult: |
132 |
| - return ModelResult( |
133 |
| - start=value_model.start, |
134 |
| - end=value_model.end, |
135 |
| - type_name="choice", |
136 |
| - text=value_model.text, |
137 |
| - resolution=FoundChoice( |
138 |
| - value=value_model.resolution["value"], index=0, score=1.0 |
139 |
| - ), |
140 |
| - ) |
| 1 | +# Copyright (c) Microsoft Corporation. All rights reserved. |
| 2 | +# Licensed under the MIT License. |
| 3 | + |
| 4 | +from typing import List, Union |
| 5 | +from recognizers_number import NumberModel, NumberRecognizer, OrdinalModel |
| 6 | +from recognizers_text import Culture |
| 7 | + |
| 8 | + |
| 9 | +from .choice import Choice |
| 10 | +from .find import Find |
| 11 | +from .find_choices_options import FindChoicesOptions |
| 12 | +from .found_choice import FoundChoice |
| 13 | +from .model_result import ModelResult |
| 14 | + |
| 15 | + |
| 16 | +class ChoiceRecognizers: |
| 17 | + """ Contains methods for matching user input against a list of choices. """ |
| 18 | + |
| 19 | + @staticmethod |
| 20 | + def recognize_choices( |
| 21 | + utterance: str, |
| 22 | + choices: List[Union[str, Choice]], |
| 23 | + options: FindChoicesOptions = None, |
| 24 | + ) -> List[ModelResult]: |
| 25 | + """ |
| 26 | + Matches user input against a list of choices. |
| 27 | +
|
| 28 | + This is layered above the `Find.find_choices()` function, and adds logic to let the user specify |
| 29 | + their choice by index (they can say "one" to pick `choice[0]`) or ordinal position |
| 30 | + (they can say "the second one" to pick `choice[1]`.) |
| 31 | + The user's utterance is recognized in the following order: |
| 32 | +
|
| 33 | + - By name using `find_choices()` |
| 34 | + - By 1's based ordinal position. |
| 35 | + - By 1's based index position. |
| 36 | +
|
| 37 | + Parameters: |
| 38 | + ----------- |
| 39 | +
|
| 40 | + utterance: The input. |
| 41 | +
|
| 42 | + choices: The list of choices. |
| 43 | +
|
| 44 | + options: (Optional) Options to control the recognition strategy. |
| 45 | +
|
| 46 | + Returns: |
| 47 | + -------- |
| 48 | + A list of found choices, sorted by most relevant first. |
| 49 | + """ |
| 50 | + if utterance is None: |
| 51 | + utterance = "" |
| 52 | + |
| 53 | + # Normalize list of choices |
| 54 | + choices_list = [ |
| 55 | + Choice(value=choice) if isinstance(choice, str) else choice |
| 56 | + for choice in choices |
| 57 | + ] |
| 58 | + |
| 59 | + # Try finding choices by text search first |
| 60 | + # - We only want to use a single strategy for returning results to avoid issues where utterances |
| 61 | + # like the "the third one" or "the red one" or "the first division book" would miss-recognize as |
| 62 | + # a numerical index or ordinal as well. |
| 63 | + locale = options.locale if (options and options.locale) else Culture.English |
| 64 | + matched = Find.find_choices(utterance, choices_list, options) |
| 65 | + if not matched: |
| 66 | + matches = [] |
| 67 | + |
| 68 | + if not options or options.recognize_ordinals: |
| 69 | + # Next try finding by ordinal |
| 70 | + matches = ChoiceRecognizers._recognize_ordinal(utterance, locale) |
| 71 | + for match in matches: |
| 72 | + ChoiceRecognizers._match_choice_by_index( |
| 73 | + choices_list, matched, match |
| 74 | + ) |
| 75 | + |
| 76 | + if not matches and (not options or options.recognize_numbers): |
| 77 | + # Then try by numerical index |
| 78 | + matches = ChoiceRecognizers._recognize_number(utterance, locale) |
| 79 | + for match in matches: |
| 80 | + ChoiceRecognizers._match_choice_by_index( |
| 81 | + choices_list, matched, match |
| 82 | + ) |
| 83 | + |
| 84 | + # Sort any found matches by their position within the utterance. |
| 85 | + # - The results from find_choices() are already properly sorted so we just need this |
| 86 | + # for ordinal & numerical lookups. |
| 87 | + matched = sorted(matched, key=lambda model_result: model_result.start) |
| 88 | + |
| 89 | + return matched |
| 90 | + |
| 91 | + @staticmethod |
| 92 | + def _recognize_ordinal(utterance: str, culture: str) -> List[ModelResult]: |
| 93 | + model: OrdinalModel = NumberRecognizer(culture).get_ordinal_model(culture) |
| 94 | + |
| 95 | + return list( |
| 96 | + map(ChoiceRecognizers._found_choice_constructor, model.parse(utterance)) |
| 97 | + ) |
| 98 | + |
| 99 | + @staticmethod |
| 100 | + def _match_choice_by_index( |
| 101 | + choices: List[Choice], matched: List[ModelResult], match: ModelResult |
| 102 | + ): |
| 103 | + try: |
| 104 | + index: int = int(match.resolution.value) - 1 |
| 105 | + if 0 <= index < len(choices): |
| 106 | + choice = choices[index] |
| 107 | + |
| 108 | + matched.append( |
| 109 | + ModelResult( |
| 110 | + start=match.start, |
| 111 | + end=match.end, |
| 112 | + type_name="choice", |
| 113 | + text=match.text, |
| 114 | + resolution=FoundChoice( |
| 115 | + value=choice.value, index=index, score=1.0 |
| 116 | + ), |
| 117 | + ) |
| 118 | + ) |
| 119 | + except: |
| 120 | + # noop here, as in dotnet/node repos |
| 121 | + pass |
| 122 | + |
| 123 | + @staticmethod |
| 124 | + def _recognize_number(utterance: str, culture: str) -> List[ModelResult]: |
| 125 | + model: NumberModel = NumberRecognizer(culture).get_number_model(culture) |
| 126 | + |
| 127 | + return list( |
| 128 | + map(ChoiceRecognizers._found_choice_constructor, model.parse(utterance)) |
| 129 | + ) |
| 130 | + |
| 131 | + @staticmethod |
| 132 | + def _found_choice_constructor(value_model: ModelResult) -> ModelResult: |
| 133 | + return ModelResult( |
| 134 | + start=value_model.start, |
| 135 | + end=value_model.end, |
| 136 | + type_name="choice", |
| 137 | + text=value_model.text, |
| 138 | + resolution=FoundChoice( |
| 139 | + value=value_model.resolution["value"], index=0, score=1.0 |
| 140 | + ), |
| 141 | + ) |
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