| import json |
| import re |
| from difflib import get_close_matches |
| from typing import Any, Dict |
|
|
| from .operators import FieldOperator, InstanceFieldOperator |
|
|
|
|
| class ToString(FieldOperator): |
| def process_value(self, text: Any) -> Any: |
| return str(text) |
|
|
|
|
| class ToStringStripped(FieldOperator): |
| def process_value(self, text: Any) -> Any: |
| return str(text).strip() |
|
|
|
|
| class Split(FieldOperator): |
| delimiter: str = " " |
| strip_every_element: bool = False |
|
|
| def process_value(self, text: Any) -> Any: |
| return [ |
| x.strip() if self.strip_every_element else x |
| for x in text.split(self.delimiter) |
| ] |
|
|
|
|
| class ToListByComma(Split): |
| delimiter = "," |
| strip_every_element = True |
|
|
|
|
| class RegexParser(FieldOperator): |
| """A processor that uses regex in order to parse a string.""" |
|
|
| regex: str |
| termination_regex: str = None |
|
|
| def process_value(self, text: Any) -> Any: |
| if self.termination_regex is not None and re.fullmatch( |
| self.termination_regex, text |
| ): |
| return [] |
| return re.findall(self.regex, text) |
|
|
|
|
| class LoadJson(FieldOperator): |
| def process_value(self, text: Any) -> Any: |
| try: |
| return json.loads(text) |
| except json.JSONDecodeError: |
| return [] |
|
|
|
|
| class ListToEmptyEntitiesTuples(FieldOperator): |
| def process_value(self, lst: Any) -> Any: |
| try: |
| return [(str(item), "") for item in lst] |
| except json.JSONDecodeError: |
| return [] |
|
|
|
|
| class DictOfListsToPairs(FieldOperator): |
| position_key_before_value: bool = True |
|
|
| def process_value(self, obj: Any) -> Any: |
| try: |
| result = [] |
| for key, values in obj.items(): |
| for value in values: |
| assert isinstance(value, str) |
| pair = ( |
| (key, value) if self.position_key_before_value else (value, key) |
| ) |
| result.append(pair) |
| return result |
| except: |
| return [] |
|
|
|
|
| class TakeFirstNonEmptyLine(FieldOperator): |
| def process_value(self, text: Any) -> Any: |
| parts = str(text).strip().split("\n") |
| if len(parts) == 0: |
| return "" |
| return parts[0].strip() |
|
|
|
|
| class ConvertToBoolean(FieldOperator): |
| def process_value(self, text: Any) -> Any: |
| clean_instance = str(text).strip().lower() |
| if any(w in clean_instance for w in ["no", "not", "wrong", "false"]): |
| return "FALSE" |
| if any(w in clean_instance for w in ["yes", "right", "correct", "true"]): |
| return "TRUE" |
| return "OTHER" |
|
|
|
|
| class LowerCaseTillPunc(FieldOperator): |
| def process_value(self, text: Any) -> Any: |
| non_empty_line = text.lower() |
| match = re.search(r"[.,!?;]", non_empty_line) |
| if match: |
| |
| non_empty_line = non_empty_line[: match.start()] |
| return non_empty_line |
|
|
|
|
| class LowerCase(FieldOperator): |
| def process_value(self, text: Any) -> Any: |
| return text.lower() |
|
|
|
|
| class Capitalize(FieldOperator): |
| def process_value(self, text: Any) -> Any: |
| return text.capitalize() |
|
|
|
|
| class GetStringAfter(FieldOperator): |
| substring: str |
|
|
| def process_value(self, text: Any) -> Any: |
| return text.split(self.substring, 1)[-1].strip() |
|
|
|
|
| class MatchClosestOption(InstanceFieldOperator): |
| options_field: str = "options" |
|
|
| def process_instance_value(self, value: Any, instance: Dict[str, Any]): |
| options = instance["task_data"][self.options_field] |
| return get_close_matches(value, options, n=1, cutoff=0.0)[0] |
|
|
|
|
| def process_instance_value(self, value, instance): |
| options = instance[self.options_field] |
| |
| closest_match = get_close_matches(value, options, n=1, cutoff=0) |
| return closest_match[0] if closest_match else None |
|
|
|
|
| class Substring(FieldOperator): |
| begin: int = 0 |
| end: int = None |
|
|
| def process_value(self, text: Any) -> Any: |
| if self.end is None: |
| return text[self.begin :] |
| return text[self.begin : self.end] |
|
|
|
|
| class FirstCharacter(FieldOperator): |
| def process_value(self, text: Any) -> Any: |
| match = re.search(r"\s*(\w)", text) |
| if match: |
| return match.groups(0)[0] |
| return "" |
|
|
|
|
| class TakeFirstWord(FieldOperator): |
| def process_value(self, text: Any) -> Any: |
| match = re.search(r"([-]*[0-9]+(\.([0-9]+))*)|([\w]+)", text) |
| if match: |
| return text[match.start() : match.end()] |
| return "" |
|
|
|
|
| class YesNoToInt(FieldOperator): |
| def process_value(self, text: Any) -> Any: |
| if text == "yes": |
| return "1" |
| if text == "no": |
| return "0" |
| return text |
|
|
|
|
| class YesToOneElseZero(FieldOperator): |
| def process_value(self, text: Any) -> Any: |
| if text == "yes": |
| return "1" |
| return "0" |
|
|
|
|
| class StrToFloatFormat(FieldOperator): |
| def process_value(self, text: Any) -> Any: |
| try: |
| return str(float(text)) |
| except Exception: |
| return str(text) |
|
|
|
|
| class ToYesOrNone(FieldOperator): |
| def process_value(self, text: Any) -> Any: |
| if text == "yes": |
| return "yes" |
| return "none" |
|
|
|
|
| class StanceToProCon(FieldOperator): |
| def process_value(self, text: Any) -> Any: |
| if text == "positive": |
| return "PRO" |
| if text in ["negative", "suggestion"]: |
| return "CON" |
| return "none" |
|
|
|
|
| class StringOrNotString(FieldOperator): |
| string: str |
|
|
| def process_value(self, text: Any) -> Any: |
| if "not " + self.string.lower() in text.lower(): |
| return "not " + self.string.lower() |
| if self.string.lower() in text.lower(): |
| return self.string.lower() |
| return text |
|
|