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ears_template_conformance.py
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ears_template_conformance.py
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# -*- coding: utf-8 -*-
import re
import logging
import spacy
from spacy.matcher import Matcher
logging.basicConfig(level=logging.DEBUG)
nlp = spacy.load('en_core_web_sm')
matcher = Matcher(nlp.vocab)
TYPE_CONDITIONAL_KEYWORDS = ['when', 'if', 'while', 'where']
CONDITIONS = ['whenever', 'whereas', 'once', 'within', 'after']
CONDITION_PHRASES = ['as soon as']
class EARSParser:
def __init__(self, requirement_sent):
self.sent = requirement_sent
self.head = None
self.modal = None
self.modals = []
self.is_multiple_modals = False
self.anchor = None
self.system_name = None
self.system_response = None
self.valid_sentence = None
self.condition = None
#self.precondition = None
self.requirement_type = None
self.conformant_segment = None
self.details = None
self.conditional_details = []
self.template_conformance = None
@staticmethod
def first_parse(requirements):
doc = nlp(requirements)
return doc
def parse_head(self):
self.head = self.sent[0]
def parse_modal(self):
for token in self.sent:
if token.tag_ == 'MD':
self.modals.append(token)
if len(self.modals) > 1:
self.is_multiple_modals = True
logging.warning(f'Multiple modals found : {self.modals}')
if self.modals:
self.modal = self.modals[0]
logging.debug(f'Modal is : {self.modal}')
def parse_system_name(self):
if self.modal:
modal_position = self.modal.i
for noun_chunk in self.sent.noun_chunks:
if noun_chunk.end <= modal_position:
self.system_name = noun_chunk
else:
break
logging.debug(f'System Name is : {self.system_name}')
def parse_anchor(self):
if self.modal and self.system_name:
sent_start = self.sent.start
modal_position = self.modal.i-sent_start
for token in self.sent[modal_position:]:
if token.pos_ == 'VERB':
vp_end = token.i
#print(vp_end, token.text)
else:
break
self.anchor = self.sent[self.system_name.start-sent_start : vp_end+1-sent_start]
logging.debug(f'Anchor is : {self.anchor}')
def parse_system_response(self):
if self.modal:
sent_start = self.sent.start
modal_position = self.modal.i-sent_start
for token in self.sent[modal_position : ]:
if token.pos_ == 'VERB':
vp_end = token.i
else:
break
self.system_response = self.sent[vp_end-sent_start:]
logging.debug(f'System response is : {self.system_response}')
def parse_valid_sentence(self):
if self.anchor:
self.valid_sentence = True
logging.debug('Valid sentence')
else:
self.valid_sentence = False
logging.warning('Invalid sentence')
def parse_condition(self):
if self.valid_sentence:
self.condition = self.sent[ : self.anchor.start-self.sent.start]
if not self.condition.text:
self.condition = None
logging.debug(f'Condition is : {self.condition}')
#TODO
#complete checking of initial condition words must be done here or in conformant segment
# def parse_conformant_segment(self):
# modal_position = self.modal.i
# sent_start = self.sent.start
# #here we completely segregate all the types of EARS conformant sentences
# #if they comply then we have a conformant segment otherwise NOT
# # <optional-precondition> is <np><vp> or <np><vp><np>
# if self.condition:
# if self.condition[0].text in conditional_keywords:
# if self.condition[0].text.lower() == 'when':
# self.requirement_type = 'event driven'
# elif self.condition[0].text.lower() == 'if':
# if self.condition[-1].text.lower() == 'then':
# self.requirement_type = 'unwanted behaviour'
# else:
# self.conformant_segment = None
# elif self.condition[0].text.lower() == 'while':
# self.requirement_type = 'state driven'
# elif self.condition[0].text.lower() == 'where':
# self.requirement_type = 'optional feature'
# else:
# self.conformant_segment = self.sent[:modal_position-sent_start]
# self.requirement_type = 'ubiquitous'
# logging.debug(f'Conformant segment is : {self.conformant_segment}')
# logging.debug(f'Requirement type is : {self.requirement_type}')
# #TODO
# # How do we identify "Complex" requirement type ?
# It is not exactly clear what determines if a requirement has a conformant segment when we are talking about EARS template
def parse_pseudo_conformant_segment(self):
if self.modal:
sent_start = self.sent.start
modal_position = self.modal.i-sent_start
if self.valid_sentence:
self.conformant_segment = self.sent[:modal_position+1]
#logging.debug(f'Conformant segment is : {self.conformant_segment}')
def parse_details(self):
if self.conformant_segment:
self.details = self.system_response
def parse_conditional_details(self):
#check above self.details for subordinate conjunctions
if self.details:
for con_phrase in CONDITION_PHRASES:
pattern = re.compile(r"as soon as", re.IGNORECASE)
if re.search(pattern, self.details.text):
logging.debug('''Conditional 'as soon as' found''')
#self.condition.append("as soon as")
self.conditional_details.append("as soon as")
for token in self.details:
if ((token.pos_ == 'ADP' and token.tag_ == 'IN') or (token.pos_ == 'ADV' and token.tag_ == 'WRB')) and token.text.lower() in CONDITIONS:
self.conditional_details.append(token.text)
#self.conditional_details = self.details
logging.debug(f'Sub ordinate conjunctions found in conditional : {self.conditional_details}')
#TODO
# if true should be marked as non conformant
def parse_conditional_type(self):
if not self.modal:
return
sent_start = self.sent.start
modal_position = self.modal.i-sent_start
#here we completely segregate all the types of EARS conformant sentences
#if they comply then we have a conformant segment otherwise NOT
# <optional-precondition> is <np><vp> or <np><vp><np>
# <trigger> ?
# <specific states> ?
if self.condition:
if self.condition[0].text.lower() in TYPE_CONDITIONAL_KEYWORDS:
if self.condition[0].text.lower() == 'when':
self.requirement_type = 'event driven'
elif self.condition[0].text.lower() == 'if':
if self.condition[-1].text.lower() == 'then':
self.requirement_type = 'unwanted behaviour'
else:
self.conformant_segment = None
elif self.condition[0].text.lower() == 'while':
self.requirement_type = 'state driven'
elif self.condition[0].text.lower() == 'where':
self.requirement_type = 'optional feature'
else:
if self.valid_sentence:
self.conformant_segment = self.sent[:modal_position+1]
self.requirement_type = 'ubiquitous'
logging.debug(f'Conformant segment is : {self.conformant_segment}')
logging.debug(f'Requirement type is : {self.requirement_type}')
#TODO
# How do we identify "Complex" requirement type ?
def parse_template_conformance(self):
if self.is_multiple_modals:
self.template_conformance = False
logging.debug('Non conformance due to presence of multiple modals')
# non existence of modals
# invalid sentence
elif not self.valid_sentence:
self.template_conformance = False
logging.debug('Non conformance due to invalid sentence')
elif not self.conformant_segment:
self.template_conformance = False
logging.debug('Non conformance due to presence of non conformant segment')
# non conformant segment
elif self.conditional_details:
self.template_conformance = False
logging.debug('Non conformance due to conditions in system response')
# conditionals in system response
else:
self.template_conformance = True
if __name__ == '__main__':
r = 'The S&T shall present to the SOT operator the EDTM anomalies.'
doc = EARSParser.first_parse(r)
for sent in doc.sents:
ep = EARSParser(sent)
ep.parse_head()
ep.parse_modal()
ep.parse_system_name()
ep.parse_anchor()
ep.parse_system_response()
ep.parse_valid_sentence()
ep.parse_condition()
ep.parse_pseudo_conformant_segment()
ep.parse_details()
ep.parse_conditional_details()
ep.parse_conditional_type()
ep.parse_template_conformance()
print(f"Template conformance is : {ep.template_conformance}")
print('~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~')