From 697a1adce1e463079e640b55d6386cf82d7bd6bc Mon Sep 17 00:00:00 2001 From: Malik Talha Date: Sun, 22 Oct 2023 21:06:23 +0500 Subject: Add Snips Inference Module Add slightly modified version of the original Snips NLU library. This module adds support for Python upto version 3.10. Bug-AGL: SPEC-4856 Signed-off-by: Malik Talha Change-Id: I6d7e9eb181e6ff4aed9b6291027877ccb9f0d846 --- snips_inference_agl/dataset/intent.py | 339 ++++++++++++++++++++++++++++++++++ 1 file changed, 339 insertions(+) create mode 100644 snips_inference_agl/dataset/intent.py (limited to 'snips_inference_agl/dataset/intent.py') diff --git a/snips_inference_agl/dataset/intent.py b/snips_inference_agl/dataset/intent.py new file mode 100644 index 0000000..0a915ce --- /dev/null +++ b/snips_inference_agl/dataset/intent.py @@ -0,0 +1,339 @@ +from __future__ import absolute_import, print_function, unicode_literals + +from abc import ABCMeta, abstractmethod +from builtins import object +from io import IOBase + +from future.utils import with_metaclass + +from snips_inference_agl.constants import DATA, ENTITY, SLOT_NAME, TEXT, UTTERANCES +from snips_inference_agl.exceptions import IntentFormatError + + +class Intent(object): + """Intent data of a :class:`.Dataset` + + Attributes: + intent_name (str): name of the intent + utterances (list of :class:`.IntentUtterance`): annotated intent + utterances + slot_mapping (dict): mapping between slot names and entities + """ + + def __init__(self, intent_name, utterances, slot_mapping=None): + if slot_mapping is None: + slot_mapping = dict() + self.intent_name = intent_name + self.utterances = utterances + self.slot_mapping = slot_mapping + self._complete_slot_name_mapping() + self._ensure_entity_names() + + @classmethod + def from_yaml(cls, yaml_dict): + """Build an :class:`.Intent` from its YAML definition object + + Args: + yaml_dict (dict or :class:`.IOBase`): object containing the YAML + definition of the intent. It can be either a stream, or the + corresponding python dict. + + Examples: + An intent can be defined with a YAML document following the schema + illustrated in the example below: + + >>> import io + >>> from snips_inference_agl.common.utils import json_string + >>> intent_yaml = io.StringIO(''' + ... # searchFlight Intent + ... --- + ... type: intent + ... name: searchFlight + ... slots: + ... - name: origin + ... entity: city + ... - name: destination + ... entity: city + ... - name: date + ... entity: snips/datetime + ... utterances: + ... - find me a flight from [origin](Oslo) to [destination](Lima) + ... - I need a flight leaving to [destination](Berlin)''') + >>> intent = Intent.from_yaml(intent_yaml) + >>> print(json_string(intent.json, indent=4, sort_keys=True)) + { + "utterances": [ + { + "data": [ + { + "text": "find me a flight from " + }, + { + "entity": "city", + "slot_name": "origin", + "text": "Oslo" + }, + { + "text": " to " + }, + { + "entity": "city", + "slot_name": "destination", + "text": "Lima" + } + ] + }, + { + "data": [ + { + "text": "I need a flight leaving to " + }, + { + "entity": "city", + "slot_name": "destination", + "text": "Berlin" + } + ] + } + ] + } + + Raises: + IntentFormatError: When the YAML dict does not correspond to the + :ref:`expected intent format ` + """ + + if isinstance(yaml_dict, IOBase): + from snips_inference_agl.dataset.yaml_wrapper import yaml + + yaml_dict = yaml.safe_load(yaml_dict) + + object_type = yaml_dict.get("type") + if object_type and object_type != "intent": + raise IntentFormatError("Wrong type: '%s'" % object_type) + intent_name = yaml_dict.get("name") + if not intent_name: + raise IntentFormatError("Missing 'name' attribute") + slot_mapping = dict() + for slot in yaml_dict.get("slots", []): + slot_mapping[slot["name"]] = slot["entity"] + utterances = [IntentUtterance.parse(u.strip()) + for u in yaml_dict["utterances"] if u.strip()] + if not utterances: + raise IntentFormatError( + "Intent must contain at least one utterance") + return cls(intent_name, utterances, slot_mapping) + + def _complete_slot_name_mapping(self): + for utterance in self.utterances: + for chunk in utterance.slot_chunks: + if chunk.entity and chunk.slot_name not in self.slot_mapping: + self.slot_mapping[chunk.slot_name] = chunk.entity + return self + + def _ensure_entity_names(self): + for utterance in self.utterances: + for chunk in utterance.slot_chunks: + if chunk.entity: + continue + chunk.entity = self.slot_mapping.get( + chunk.slot_name, chunk.slot_name) + return self + + @property + def json(self): + """Intent data in json format""" + return { + UTTERANCES: [ + {DATA: [chunk.json for chunk in utterance.chunks]} + for utterance in self.utterances + ] + } + + @property + def entities_names(self): + return set(chunk.entity for u in self.utterances + for chunk in u.chunks if isinstance(chunk, SlotChunk)) + + +class IntentUtterance(object): + def __init__(self, chunks): + self.chunks = chunks + + @property + def text(self): + return "".join((chunk.text for chunk in self.chunks)) + + @property + def slot_chunks(self): + return (chunk for chunk in self.chunks if isinstance(chunk, SlotChunk)) + + @classmethod + def parse(cls, string): + """Parses an utterance + + Args: + string (str): an utterance in the class:`.Utterance` format + + Examples: + + >>> from snips_inference_agl.dataset.intent import IntentUtterance + >>> u = IntentUtterance.\ + parse("president of [country:default](France)") + >>> u.text + 'president of France' + >>> len(u.chunks) + 2 + >>> u.chunks[0].text + 'president of ' + >>> u.chunks[1].slot_name + 'country' + >>> u.chunks[1].entity + 'default' + """ + sm = SM(string) + capture_text(sm) + return cls(sm.chunks) + + +class Chunk(with_metaclass(ABCMeta, object)): + def __init__(self, text): + self.text = text + + @abstractmethod + def json(self): + pass + + +class SlotChunk(Chunk): + def __init__(self, slot_name, entity, text): + super(SlotChunk, self).__init__(text) + self.slot_name = slot_name + self.entity = entity + + @property + def json(self): + return { + TEXT: self.text, + SLOT_NAME: self.slot_name, + ENTITY: self.entity, + } + + +class TextChunk(Chunk): + @property + def json(self): + return { + TEXT: self.text + } + + +class SM(object): + """State Machine for parsing""" + + def __init__(self, input): + self.input = input + self.chunks = [] + self.current = 0 + + @property + def end_of_input(self): + return self.current >= len(self.input) + + def add_slot(self, name, entity=None): + """Adds a named slot + + Args: + name (str): slot name + entity (str): entity name + """ + chunk = SlotChunk(slot_name=name, entity=entity, text=None) + self.chunks.append(chunk) + + def add_text(self, text): + """Adds a simple text chunk using the current position""" + chunk = TextChunk(text=text) + self.chunks.append(chunk) + + def add_tagged(self, text): + """Adds text to the last slot""" + if not self.chunks: + raise AssertionError("Cannot add tagged text because chunks list " + "is empty") + self.chunks[-1].text = text + + def find(self, s): + return self.input.find(s, self.current) + + def move(self, pos): + """Moves the cursor of the state to position after given + + Args: + pos (int): position to place the cursor just after + """ + self.current = pos + 1 + + def peek(self): + if self.end_of_input: + return None + return self[0] + + def read(self): + c = self[0] + self.current += 1 + return c + + def __getitem__(self, key): + current = self.current + if isinstance(key, int): + return self.input[current + key] + elif isinstance(key, slice): + start = current + key.start if key.start else current + return self.input[slice(start, key.stop, key.step)] + else: + raise TypeError("Bad key type: %s" % type(key)) + + +def capture_text(state): + next_pos = state.find('[') + sub = state[:] if next_pos < 0 else state[:next_pos] + if sub: + state.add_text(sub) + if next_pos >= 0: + state.move(next_pos) + capture_slot(state) + + +def capture_slot(state): + next_colon_pos = state.find(':') + next_square_bracket_pos = state.find(']') + if next_square_bracket_pos < 0: + raise IntentFormatError( + "Missing ending ']' in annotated utterance \"%s\"" % state.input) + if next_colon_pos < 0 or next_square_bracket_pos < next_colon_pos: + slot_name = state[:next_square_bracket_pos] + state.move(next_square_bracket_pos) + state.add_slot(slot_name) + else: + slot_name = state[:next_colon_pos] + state.move(next_colon_pos) + entity = state[:next_square_bracket_pos] + state.move(next_square_bracket_pos) + state.add_slot(slot_name, entity) + if state.peek() == '(': + state.read() + capture_tagged(state) + else: + capture_text(state) + + +def capture_tagged(state): + next_pos = state.find(')') + if next_pos < 1: + raise IntentFormatError( + "Missing ending ')' in annotated utterance \"%s\"" % state.input) + else: + tagged_text = state[:next_pos] + state.add_tagged(tagged_text) + state.move(next_pos) + capture_text(state) -- cgit 1.2.3-korg