def __inner_job():
start = time.time()
image_binary = analyze_current_screen_text(
directory=data_directory,
compress_level=image_compress_level[0],
crop_area=crop_areas[game_type]
)
if not image_binary:
print("do not detect question and answers")
return
keywords = get_text_from_image(
image_data=image_binary,
timeout=timeout
)
if not keywords:
print("text not recognize")
return
true_flag, real_question, question, answers = parse_question_and_answer(keywords)
### parse for answer
answers = map(lambda a: a.rsplit(":")[-1], answers)
answers = list(map(lambda a: a.rsplit(".")[-1], answers))
print("~" * 60)
print("{0}\n{1}".format(real_question, "\n".join(answers)))
print("~" * 60)
if enable_chrome:
writer.send(question)
noticer.set()
summary = baidu_count(question, answers, timeout=timeout)
summary_li = sorted(summary.items(), key=operator.itemgetter(1), reverse=True)
if true_flag:
recommend = "{0}\n{1}".format(
"肯定回答(**)： {0}".format(summary_li[0][0]),
"否定回答( )： {0}".format(summary_li[-1][0]))
else:
recommend = "{0}\n{1}".format(
"肯定回答( )： {0}".format(summary_li[0][0]),
"否定回答(**)： {0}".format(summary_li[-1][0]))
print("*" * 60)
print(recommend)
print("*" * 60)
ans = kwquery(real_question)
print("-" * 60)
print(wrap(" ".join(ans), 60))
print("-" * 60)
end = time.time()
print("use {0} 秒".format(end - start))
save_screen(directory=data_directory)
save_question_answers_to_file(real_question, answers, directory=data_directory)
def __inner_job():
start = time.time()
image_binary = analyze_current_screen_text(
directory=data_directory,
compress_level=image_compress_level[0],
crop_area=crop_areas[game_type]
)
if not image_binary:
print("do not detect question and answers")
return
keywords = get_text_from_image(
image_data=image_binary,
timeout=timeout
)
if not keywords:
print("text not recognize")
return
true_flag, real_question, question, answers = parse_question_and_answer(keywords)
### parse for answer
### 3个答案选项
answers = map(lambda a: a.rsplit(":")[-1], answers)
answers = list(map(lambda a: a.rsplit(".")[-1], answers))
std_pipe.write(stdout_template.QUESTION_TPL.format(real_question, "\n".join(answers)))
# notice baidu and craw
baidu_queue.put((
question, answers, true_flag
))
knowledge_queue.put(question)
if enable_chrome:
writer.send(question)
noticer.set()
end = time.time()
std_pipe.write(stdout_template.TIME_CONSUME_TPL.format(end - start))
save_screen(directory=data_directory)
save_question_answers_to_file(real_question, answers, directory=data_directory)
def __inner_job():
start = time.time()
image_binary = analyze_current_screen_text(
directory=data_directory,
compress_level=image_compress_level[0],
crop_area=crop_areas[game_type]
)
if not image_binary:
print("do not detect question and answers")
return
keywords = get_text_from_image(
image_data=image_binary,
timeout=timeout
)
if not keywords:
print("text not recognize")
return
true_flag, real_question, question, answers = parse_question_and_answer(keywords)
### parse for answer
answers = map(lambda a: a.rsplit(":")[-1], answers)
answers = list(map(lambda a: a.rsplit(".")[-1], answers))
std_pipe.write(stdout_template.QUESTION_TPL.format(real_question, "\n".join(answers)))
# notice baidu and craw
baidu_queue.put((
question, answers, true_flag
))
knowledge_queue.put(question)
if enable_chrome:
writer.send(question)
noticer.set()
end = time.time()
std_pipe.write(stdout_template.TIME_CONSUME_TPL.format(end - start))
save_screen(directory=data_directory)
save_question_answers_to_file(real_question, answers, directory=data_directory)