Try to add the first natural language processor - 'translate'

commands/natural_language.py

@@ -1,12 +1,39 @@
-import jieba
+import os
+import importlib
 
 from command import CommandRegistry
+from commands import core
+from nl_processor import parse_potential_commands
+from little_shit import get_nl_processors_dir
+from command import hub as cmdhub
 
-__registry__ = cr = CommandRegistry()
+
+def _init():
+    _load_processors()
+
+
+__registry__ = cr = CommandRegistry(init_func=_init)
 
 
 @cr.register('process')
 @cr.restrict(full_command_only=True)
-def process(args_text, ctx_msg, internal=False):
+def process(sentence, ctx_msg, internal=False):
-    print('自然语言消息处理', args_text)
+    sentence = sentence.strip()
-    print(list(jieba.cut_for_search(args_text)))
+    potential_commands = parse_potential_commands(sentence)
+    potential_commands = sorted(filter(lambda x: x[0] > 60, potential_commands), key=lambda x: x[0], reverse=True)
+    if len(potential_commands) > 0:
+        most_possible_cmd = potential_commands[0]
+        ctx_msg['parsed_data'] = most_possible_cmd[3]
+        cmdhub.call(most_possible_cmd[1], most_possible_cmd[2], ctx_msg)
+    else:
+        core.echo('我暂时不理解你在说什么哦～', ctx_msg, internal)
+
+
+def _load_processors():
+    processor_mod_files = filter(
+        lambda filename: filename.endswith('.py') and not filename.startswith('_'),
+        os.listdir(get_nl_processors_dir())
+    )
+    command_mods = [os.path.splitext(file)[0] for file in processor_mod_files]
+    for mod_name in command_mods:
+        importlib.import_module('nl_processors.' + mod_name)

commands/translate.py

@@ -47,7 +47,27 @@ _lang_alias_map = {
     '汉语': 'zh',
     '英文': 'en',
     '日文': 'jp',
-    '韩文': 'kor'
+    '韩文': 'kor',
+    '法文': 'fra',
+    '西班牙文': 'spa',
+    '阿拉伯文': 'ara',
+    '俄文': 'ru',
+    '葡萄牙文': 'pt',
+    '德文': 'de',
+    '意大利文': 'it',
+    '希腊文': 'el',
+    '荷兰文': 'nl',
+    '波兰文': 'pl',
+    '保加利亚文': 'bul',
+    '爱沙尼亚文': 'est',
+    '丹麦文': 'dan',
+    '芬兰文': 'fin',
+    '捷克文': 'cs',
+    '罗马尼亚文': 'rom',
+    '斯洛文尼亚文': 'slo',
+    '瑞典文': 'swe',
+    '匈牙利文': 'hu',
+    '越南文': 'vie'
 }
 
 
@@ -67,7 +87,7 @@ def translate(args_text, ctx_msg):
         return translate_to('简体中文 ' + args_text, ctx_msg)
 
 
-@cr.register('translate_to', 'translate-to', '翻译到', '翻译成')
+@cr.register('translate_to', 'translate-to', '翻译到', '翻译成', '翻译为')
 def translate_to(args_text, ctx_msg):
     args = args_text.strip().split(' ', 1)
     if len(args) < 2 or (args[0] not in _lang_map and args[0] not in _lang_alias_map):

filters/speech_recognition_90.py

@@ -80,6 +80,7 @@ def _filter(ctx_msg):
             if text:
                 reply = '识别结果（百度语音识别）：\n%s\n\n下面将把识别到的内容作为文字消息处理……' % text
                 ctx_msg['text'] = text
+                ctx_msg['from_voice'] = True
             else:
                 reply = '抱歉哦，没有识别出你说的是什么'
             core.echo(reply, ctx_msg)

little_shit.py

@@ -26,6 +26,10 @@ def get_commands_dir():
     return _mkdir_if_not_exists_and_return_path(os.path.join(get_root_dir(), 'commands'))
 
 
+def get_nl_processors_dir():
+    return _mkdir_if_not_exists_and_return_path(os.path.join(get_root_dir(), 'nl_processors'))
+
+
 def get_db_dir():
     return _mkdir_if_not_exists_and_return_path(os.path.join(get_root_dir(), 'data', 'db'))
 

nl_processor.py

@@ -0,0 +1,38 @@
+import re
+
+import jieba.posseg
+
+_processors = []
+_processors_without_keyword = []
+
+
+def as_processor(keywords=None):
+    def decorator(func):
+        if keywords:
+            _processors.append((keywords, func))
+        else:
+            _processors_without_keyword.append(func)
+        return func
+
+    return decorator
+
+
+def parse_potential_commands(sentence):
+    segmentation = list(jieba.posseg.cut(sentence=sentence))
+    print('分词结果:', segmentation)
+    potential_commands = []
+    for processor in _processors:
+        processed = False
+        for regex in processor[0]:
+            for word, flag in segmentation:
+                if re.match(regex, word):
+                    potential_commands.append(processor[1](sentence, segmentation))
+                    processed = True
+                    # A word matched, skip the rest of words
+                    break
+            if processed:
+                # Current processor has processed, skip the rest of keywords
+                break
+    for func in _processors_without_keyword:
+        potential_commands.append(func(sentence, segmentation))
+    return potential_commands

nl_processors/translate.py

@@ -0,0 +1,31 @@
+import re
+
+from nl_processor import as_processor
+
+_query_lang_matcher = [
+    re.compile('[把将]?[ ,.，。]?(.*?)[ ,.，。]?(?:这[个]?(?:词[组]?|句(?:子|话)?|短语))翻译[成为到](\w+?[文语])(?![ :：,，.。])'),
+    re.compile('(\w+?)[ ,.，。]?(?:这[个]?(?:词[组]?|句(?:子|话)?|短语))?[的用](\w+?[文语])')
+]
+
+_lang_query_matcher = [
+    re.compile('[把将]?(?:(?:这[个]?|[下后][面]?)(?:词[组]?|句(?:子|话)?|短语))翻译[成为到](\w+?[文语])[ :：,，.。](.*)'),
+    re.compile('[用]?(\w+[文语])\w+?(?:说|讲|表达|表示)(.*)(?:这[个]?(?:词[组]?|句(?:子|话)?|短语))'),
+    re.compile('[用]?(\w+[文语])\w+?(?:说|讲|表达|表示)(.*)')
+]
+
+
+@as_processor(keywords=('翻译(为|成|到)?', '.+(文|语)'))
+def _processor(sentence, segmentation):
+    lang = None
+    query = None
+    for matcher in _query_lang_matcher + _lang_query_matcher:
+        m = matcher.match(sentence)
+        if m:
+            if matcher in _lang_query_matcher:
+                lang, query = m.group(1), m.group(2)
+            else:
+                lang, query = m.group(2), m.group(1)
+            break
+    if lang and query:
+        return 90, 'translate.translate_to', ' '.join((lang.strip(), query.strip(' ,，'))), None
+    return None