async def answer_question(self, question: str,
original_choices: List[str]):
self.logger.info('Searching...')
start_time = time()
question_lower = question.lower()
reverse = 'NOT' in question or 'NEVER' in question or 'NEITHER' in question or \
('least' in question_lower and 'at least' not in question_lower)
choice_groups = [[
choice.translate(self.punctuation_to_none),
choice.translate(self.punctuation_to_space)
] for choice in original_choices]
choices = sum(choice_groups, [])
# Step 1: Search web for results
keyword_start_time = time()
question_keywords = self.find_keywords(question)
if not self.simplified_output:
self.logger.info(f'Question keywords: {question_keywords}')
self.logger.debug(
f'Keywords took {round(time() - keyword_start_time, 2)} seconds')
search_start_time = time()
links = await self.searcher.get_search_links(
' '.join(question_keywords), self.num_sites)
self.logger.debug(
f'Web search took {round(time() - search_start_time, 2)} seconds')
self.logger.debug(f'Found links: {links}')
# Step 2: Fetch links and clean up text
fetch_start_time = time()
link_texts = [
Searcher.html_to_visible_text(html).translate(
self.punctuation_to_none)
for html in await self.searcher.fetch_multiple(links)
]
self.logger.debug(
f'Fetching took {round(time() - fetch_start_time, 2)} seconds')
# Step 3: Find best answer for all search methods
post_process_start_time = time()
answers = []
for search_method in self.search_methods_to_use:
answer = await search_method(link_texts, choices, choice_groups,
reverse)
answers.append(answer)
if answer:
self.logger.info(answer, extra={'pre': colorama.Fore.BLUE})
else:
self.logger.info('Tie', extra={'pre': colorama.Fore.BLUE})
self.logger.debug(
f'Post-processing took {round(time() - post_process_start_time, 2)} seconds'
)
self.logger.info(
f'Search took {round(time() - start_time, 2)} seconds')
return answers
async def answer_question(self, question, original_choices):
self.logger.info("Searching...")
start_time = time()
question_lower = question.lower()
reverse = "NOT" in question or "NEVER" in question or \
("least" in question_lower and "at least" not in question_lower)
choice_groups = [[
choice.translate(QuestionHandler.PUNCTUATION_TO_NONE),
choice.translate(QuestionHandler.PUNCTUATION_TO_SPACE)
] for choice in original_choices]
choices = sum(choice_groups, [])
# Step 1: Search web for results
keyword_start_time = time()
question_keywords = self.find_keywords(question)
if not self.simplified_output:
self.logger.info(f"Question keywords: {question_keywords}")
self.logger.debug(
f"Keywords took {round(time() - keyword_start_time, 2)} seconds")
search_start_time = time()
links = self.searcher.get_search_links(" ".join(question_keywords), 5)
self.logger.debug(
f"Web search took {round(time() - search_start_time, 2)} seconds")
self.logger.debug(f"Found links: {links}")
# Step 2: Fetch links and clean up text
fetch_start_time = time()
link_texts = [
Searcher.html_to_visible_text(html).translate(
QuestionHandler.PUNCTUATION_TO_NONE)
for html in await self.searcher.fetch_multiple(links)
]
self.logger.debug(
f"Fetching took {round(time() - fetch_start_time, 2)} seconds")
# Step 3: Find best answer for all search methods
post_process_start_time = time()
for search_method in self.search_methods_to_use:
self.logger.info(search_method(link_texts, choices, choice_groups,
reverse),
extra={"pre": colorama.Fore.BLUE})
self.logger.debug(
f"Post-processing took {round(time() - post_process_start_time, 2)} seconds"
)
self.logger.info(
f"Search took {round(time() - start_time, 2)} seconds")