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https://github.com/nonebot/nonebot2.git
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Little improvement
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parent
882810378d
commit
1639bac368
@ -17,8 +17,8 @@ __registry__ = cr = CommandRegistry(init_func=_init)
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@cr.register('process')
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@cr.restrict(full_command_only=True)
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def process(sentence, ctx_msg, internal=False):
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sentence = sentence.strip()
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def process(args_text, ctx_msg, internal=False):
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sentence = args_text.strip()
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potential_commands = parse_potential_commands(sentence)
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potential_commands = sorted(filter(lambda x: x[0] > 60, potential_commands), key=lambda x: x[0], reverse=True)
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if len(potential_commands) > 0:
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@ -26,7 +26,13 @@ def process(sentence, ctx_msg, internal=False):
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ctx_msg['parsed_data'] = most_possible_cmd[3]
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cmdhub.call(most_possible_cmd[1], most_possible_cmd[2], ctx_msg)
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else:
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core.echo('我暂时不理解你在说什么哦~', ctx_msg, internal)
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if ctx_msg.get('from_voice'):
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core.echo('暂时无法理解你的意思,下面将发送图灵机器人的回复……', ctx_msg, internal)
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core.tuling123(sentence, ctx_msg, internal)
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else:
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core.echo('暂时无法理解你的意思。\n'
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'由于自然语言识别还非常不完善,建议使用命令来精确控制我。\n'
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'如需帮助请发送「使用帮助」。', ctx_msg, internal)
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def _load_processors():
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@ -26,7 +26,9 @@ def parse_potential_commands(sentence):
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for regex in processor[0]:
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for word, flag in segmentation:
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if re.match(regex, word):
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potential_commands.append(processor[1](sentence, segmentation))
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result = processor[1](sentence, segmentation)
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if result:
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potential_commands.append(result)
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processed = True
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# A word matched, skip the rest of words
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break
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@ -34,5 +36,7 @@ def parse_potential_commands(sentence):
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# Current processor has processed, skip the rest of keywords
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break
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for func in _processors_without_keyword:
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potential_commands.append(func(sentence, segmentation))
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result = func(sentence, segmentation)
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if result:
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potential_commands.append(result)
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return potential_commands
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@ -3,14 +3,14 @@ import re
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from nl_processor import as_processor
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_query_lang_matcher = [
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re.compile('[把将]?[ ,.,。]?(.*?)[ ,.,。]?(?:这[个]?(?:词[组]?|句(?:子|话)?|短语))翻译[成为到](\w+?[文语])(?![ ::,,.。])'),
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re.compile('(\w+?)[ ,.,。]?(?:这[个]?(?:词[组]?|句(?:子|话)?|短语))?[的用](\w+?[文语])')
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re.compile('[把将]?[\s,.,。]?(.*?)[\s,.,。]?(?:这[个]?(?:词[组]?|句(?:子|话)?|短语))?翻译[成为到](\w+?[文语])(?![\s::,,.。])'),
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re.compile('(\w+?)[\s,.,。]?(?:这[个]?(?:词[组]?|句(?:子|话)?|短语))?[的用](\w+?[文语])')
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]
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_lang_query_matcher = [
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re.compile('[把将]?(?:(?:这[个]?|[下后][面]?)(?:词[组]?|句(?:子|话)?|短语))翻译[成为到](\w+?[文语])[ ::,,.。](.*)'),
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re.compile('.*[把将]?(?:(?:这[个]?|[下后][面]?)(?:词[组]?|句(?:子|话)?|短语))?翻译[成为到]\s*(\w+?[文语])[\s::,,](.*)'),
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re.compile('[用]?(\w+[文语])\w+?(?:说|讲|表达|表示)(.*)(?:这[个]?(?:词[组]?|句(?:子|话)?|短语))'),
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re.compile('[用]?(\w+[文语])\w+?(?:说|讲|表达|表示)(.*)')
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re.compile('[用]?(\w+[文语])\w+?(?:说|讲|表达|表示)(.*)'),
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]
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@ -27,5 +27,6 @@ def _processor(sentence, segmentation):
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lang, query = m.group(2), m.group(1)
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break
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if lang and query:
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print('翻译: 目标语言:', lang, ', 待翻译文本:', query)
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return 90, 'translate.translate_to', ' '.join((lang.strip(), query.strip(' ,,'))), None
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return None
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