| | import json |
| | import re |
| |
|
| | from .operator import BaseFieldOperator |
| |
|
| |
|
| | class ToString(BaseFieldOperator): |
| | def process(self, instance): |
| | return str(instance) |
| |
|
| |
|
| | class ToStringStripped(BaseFieldOperator): |
| | def process(self, instance): |
| | return str(instance).strip() |
| |
|
| |
|
| | class ToListByComma(BaseFieldOperator): |
| | def process(self, instance): |
| | return [x.strip() for x in instance.split(",")] |
| |
|
| |
|
| | class RegexParser(BaseFieldOperator): |
| | """A processor that uses regex in order to parse a string.""" |
| |
|
| | regex: str |
| | termination_regex: str = None |
| |
|
| | def process(self, text): |
| | if self.termination_regex is not None and re.fullmatch( |
| | self.termination_regex, text |
| | ): |
| | return [] |
| | return re.findall(self.regex, text) |
| |
|
| |
|
| | class LoadJson(BaseFieldOperator): |
| | def process(self, text): |
| | try: |
| | return json.loads(text) |
| | except json.JSONDecodeError: |
| | return [] |
| |
|
| |
|
| | class ListToEmptyEntitiesTuples(BaseFieldOperator): |
| | def process(self, lst): |
| | try: |
| | return [(str(item), "") for item in lst] |
| | except json.JSONDecodeError: |
| | return [] |
| |
|
| |
|
| | class DictOfListsToPairs(BaseFieldOperator): |
| | position_key_before_value: bool = True |
| |
|
| | def process(self, obj): |
| | 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(BaseFieldOperator): |
| | def process(self, instance): |
| | splitted = str(instance).strip().split("\n") |
| | if len(splitted) == 0: |
| | return "" |
| | return splitted[0].strip() |
| |
|
| |
|
| | class ConvertToBoolean(BaseFieldOperator): |
| | def process(self, instance): |
| | clean_instance = str(instance).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(BaseFieldOperator): |
| | def process(self, instance): |
| | non_empty_line = instance.lower() |
| | match = re.search(r"[.,!?;]", non_empty_line) |
| | if match: |
| | |
| | non_empty_line = non_empty_line[: match.start()] |
| | return non_empty_line |
| |
|
| |
|
| | class LowerCase(BaseFieldOperator): |
| | def process(self, instance): |
| | return instance.lower() |
| |
|
| |
|
| | class FirstCharacter(BaseFieldOperator): |
| | def process(self, instance): |
| | match = re.search(r"\s*(\w)", instance) |
| | if match: |
| | return match.groups(0)[0] |
| | return "" |
| |
|
| |
|
| | class TakeFirstWord(BaseFieldOperator): |
| | def process(self, instance): |
| | match = re.search(r"[\w]+", instance) |
| | if match: |
| | return instance[match.start() : match.end()] |
| | return "" |
| |
|
| |
|
| | class YesNoToInt(BaseFieldOperator): |
| | def process(self, instance): |
| | if instance == "yes": |
| | return "1" |
| | return "0" |
| |
|
| |
|
| | class ToYesOrNone(BaseFieldOperator): |
| | def process(self, instance): |
| | if instance == "yes": |
| | return "yes" |
| | return "none" |
| |
|
| |
|
| | class StanceToProCon(BaseFieldOperator): |
| | def process(self, instance): |
| | if instance == "positive": |
| | return "PRO" |
| | if instance in ["negative", "suggestion"]: |
| | return "CON" |
| | return "none" |
| |
|
| |
|
| | class StringOrNotString(BaseFieldOperator): |
| | string: str |
| |
|
| | def process(self, instance): |
| | if "not " + self.string.lower() in instance.lower(): |
| | return "not " + self.string.lower() |
| | if self.string.lower() in instance.lower(): |
| | return self.string.lower() |
| | return instance |
| |
|