modify ppt

action_handler/ppt/ppt_action.py

@@ -32,6 +32,7 @@ class PPTAction:
 
         self.ppt_controller = PPTController()
         self.ppt_controller.open(path)
+        self.ppt_controller.full_screen()
 
     def goto(self, *args, **kwargs):
         page = args[0]

action_handler/ppt/ppt_controller.py

@@ -77,16 +77,16 @@ class PPTController:
     def has_active_presentation(self):
         return True if self.get_presentation_count() > 0 else False
 
-
-if __name__ == '__main__':
-    ppt = PPTControler()
-    ppt.open(r'D:\Project\LLV\pptAgnet\ppt_test.pptx')
-    time.sleep(2)
-    ppt.full_screen()
-    time.sleep(2)
-    ppt.goto_slide(6)
-    time.sleep(2)
-    ppt.next_page()
-    time.sleep(2)
-    ppt.pre_page()
-    time.sleep(2)
+#
+# if __name__ == '__main__':
+#     ppt = PPTControler()
+#     ppt.open(r'D:\Project\LLV\pptAgnet\ppt_test.pptx')
+#     time.sleep(2)
+#     ppt.full_screen()
+#     time.sleep(2)
+#     ppt.goto_slide(6)
+#     time.sleep(2)
+#     ppt.next_page()
+#     time.sleep(2)
+#     ppt.pre_page()
+#     time.sleep(2)

human/human_context.py

@@ -6,7 +6,7 @@ from asr import SherpaNcnnAsr
 from eventbus import EventBus
 from .audio_inference_handler import AudioInferenceHandler
 from .audio_mal_handler import AudioMalHandler
-from nlp import PunctuationSplit, DouBao, Kimi
+from nlp import PunctuationSplit, DouBao, Kimi, PPT
 from tts import TTSEdge, TTSAudioSplitHandle, TTSEdgeHttp
 from utils import load_avatar, get_device, object_stop, load_avatar_from_processed, load_avatar_from_256_processed
 
@@ -118,8 +118,9 @@ class HumanContext:
         self._tts_handle = TTSAudioSplitHandle(self,  self._mal_handler)
         self._tts = TTSEdgeHttp(self._tts_handle)
         split = PunctuationSplit()
-        self._nlp = DouBao(self, split,  self._tts)
+        # self._nlp = DouBao(self, split,  self._tts)
         # self._nlp = Kimi(self, split,  self._tts)
+        self._nlp = PPT(self, split, self._tts)
         self._asr = SherpaNcnnAsr()
         self._asr.attach(self._nlp)
 

main.py

@@ -13,12 +13,14 @@ current_file_path = os.path.dirname(os.path.abspath(__file__))
 
 if __name__ == '__main__':
     config_logging('./logs/info.log', logging.INFO, logging.INFO)
-
+    print(current_file_path)
     logger.info('------------start------------')
     context = HumanContext()
     render = IpcRender(context)
     context.build(render)
     action_manger = ActionManager()
+
+    # action_manger.ppt_action.open(f'{current_file_path}/data/ppt/test_ppt.pptx')
     render.run()
     render.stop()
-    logger.info('------------finish------------')
+    logger.info('------------finish------------')

nlp/__init__.py

@@ -3,4 +3,5 @@
 from .nlp_callback import NLPCallback
 from .nlp_doubao import DouBao
 from .nlp_kimi import Kimi
+from .nlp_ppt import PPT
 from .nlp_split import PunctuationSplit

nlp/nlp_base.py

@@ -1,11 +1,13 @@
 #encoding = utf8
 import logging
+import os
 
 from asr import AsrObserver
 from eventbus import EventBus
 from utils import AsyncTaskQueue
 
 logger = logging.getLogger(__name__)
+current_file_path = os.path.dirname(os.path.abspath(__file__))
 
 
 class NLPBase(AsrObserver):
@@ -16,6 +18,8 @@ class NLPBase(AsrObserver):
         self._callback = callback
         self._is_running = True
 
+        self._test_page = 1
+
         EventBus().register('stop', self.on_stop)
         EventBus().register('clear_cache', self.on_clear_cache)
 
@@ -56,9 +60,18 @@ class NLPBase(AsrObserver):
     def completed(self, message: str):
         if not self._is_running:
             return
+        message = f'讲解第{self._test_page}页'
+        if self._test_page == 1:
+            message = '讲解一下汉代的女童教育'
+            EventBus().post('ppt_open', f'{current_file_path}/../data/ppt/test_20250103213237A001.pptx')
+        else:
+            EventBus().post('ppt_goto', self._test_page)
+
+        self._test_page = self._test_page + 1
         logger.info(f'complete:{message}')
         self.ask(message)
 
+
     def ask(self, question):
         logger.info(f'ask:{question}')
         self._is_running = True

nlp/nlp_ppt.py

@@ -0,0 +1,113 @@
+# encoding = utf8
+import json
+import logging
+import time
+import uuid
+
+import requests
+# import websocket
+from websocket import create_connection
+
+from nlp.nlp_base import NLPBase
+
+logger = logging.getLogger(__name__)
+
+
+class PPTWebsocket:
+    def __init__(self, token):
+        self.__token = token
+        self._response = ''
+        self._requesting = False
+        headers = {
+            "Authorization": f"Bearer {token}",
+        }
+        header_list = [f"{key}: {value}" for key, value in headers.items()]
+        sid = uuid.uuid4()
+        url = f'ws://crm.yuekexinxi.com/llm/chat?agent_id=4&app_key=fjV0TjBd1Te9zMWVmp4UuUycHJ3YLEv2&session_id={sid}'
+        # websocket.enableTrace(True)
+        self._ws = create_connection(
+            url,
+            header=header_list
+        )
+        result = self._ws.recv()
+        print("接收结果：", result)
+
+    def __request(self, question):
+        print("获取连接状态：", self._ws.getstatus())
+        self._requesting = True
+        self._ws.send(question)
+
+        result = self._ws.recv()
+        self._requesting = False
+        print("接收结果：", result)
+        return json.loads(result)
+
+    def request(self, question, handle, callback):
+        t = time.time()
+        self._requesting = True
+        logger.info(f'-------ppt ask:{question}')
+        self._response = self.__request(question)
+        content = self._response['content']['text']
+        callback(content)
+
+        self._requesting = False
+        logger.info(f'-------dou_bao nlp time:{time.time() - t:.4f}s')
+
+    def close(self):
+        pass
+        # if self._response is not None and self._requesting:
+        #     self._response.close()
+
+    def aclose(self):
+        pass
+        # if self._response is not None and self._requesting:
+        #     self._response.close()
+        logger.info('PPTWebsocket close')
+
+
+class PPT(NLPBase):
+    def __init__(self, context, split, callback=None):
+        super().__init__(context, split, callback)
+        logger.info("PPT init")
+        self.__token = '' # 'c9635f9e-0f9e-4ca1-ac90-8af25a541b74'
+        self._ppt = None# PPTHttp(self.__token)
+        self._request_token()
+
+    def _request_token(self):
+        url = 'http://crm.yuekexinxi.com/llm/platform/token'
+        data = {
+            "app_key": "fjV0TjBd1Te9zMWVmp4UuUycHJ3YLEv2",
+            "secret_key": "0Fhy1a9JFaSAiSuu7DdtrZG1Mcoz1Gpz"
+        }
+        response = requests.post(url, json=data, stream=True)
+        if response.status_code != 200:
+            logger.error(f'request token failed: {response.text}')
+            return
+
+        try:
+            content = json.loads(response.text)
+            logger.info(content)
+            code = content.get('code')
+            if 200 != code:
+                logger.warning(f"content code {code} != 200")
+                return
+            self.__token = content.get('data')
+            self._ppt = PPTWebsocket(self.__token)
+
+        except Exception as e:
+            logger.error(f'response error: {e}')
+
+    def _request(self, question):
+        self._ppt.request(question, self._split_handle, self._on_callback)
+
+    def _on_close(self):
+        if self._ppt is not None:
+            self._ppt.close()
+        logger.info('AsyncArk close')
+
+    def on_clear_cache(self, *args, **kwargs):
+        super().on_clear_cache(*args, **kwargs)
+        if self._ppt is not None:
+            self._ppt.aclose()
+        logger.info('DouBao clear_cache')
+

test/test_nlp_only.py

@@ -5,7 +5,7 @@ import os
 import time
 import requests
 
-from nlp import PunctuationSplit, DouBao, NLPCallback
+from nlp import PunctuationSplit, DouBao, NLPCallback, PPT
 from utils import config_logging
 
 logger = logging.getLogger(__name__)
@@ -37,6 +37,9 @@ class DisplayNLP(NLPCallback):
     def on_message(self, txt: str):
         print(txt)
 
+    def on_clear(self):
+        pass
+
 
 def main():
     # 你的API_KEY
@@ -65,11 +68,12 @@ def main():
     # print("文件下载完成")
 
     split = PunctuationSplit()
-    nlp = DouBao(None, split, DisplayNLP())
-    nlp.ask('你好')
-    nlp.ask('你是谁')
-    nlp.ask('能做什么')
-    time.sleep(5)
+    # nlp = DouBao(None, split, DisplayNLP())
+    nlp = PPT(None, split, DisplayNLP())
+    nlp.ask('讲解一下汉代的女童教育')
+    nlp.ask('讲解第二页')
+    nlp.ask('讲解第三页')
+    time.sleep(50)
     nlp.stop()
     print("stop")