feat: preliminarily implement pipeline invoking

pkg/pipeline/longtext/longtext.py

@@ -7,7 +7,7 @@ from PIL import Image, ImageDraw, ImageFont
 from ...core import app
 from . import strategy
 from .strategies import image, forward
-from .. import stage, entities, stagemgr
+from .. import stage, entities
 from ...core import entities as core_entities
 from ...config import manager as cfg_mgr
 from ...platform.types import message as platform_message
@@ -23,8 +23,8 @@ class LongTextProcessStage(stage.PipelineStage):
 
     strategy_impl: strategy.LongTextStrategy
 
-    async def initialize(self):
-        config = self.ap.platform_cfg.data['long-text-process']
+    async def initialize(self, pipeline_config: dict):
+        config = pipeline_config['output']['long-text-processing']
         if config['strategy'] == 'image':
             use_font = config['font-path']
             try:
@@ -42,12 +42,12 @@ class LongTextProcessStage(stage.PipelineStage):
                     else:
                         self.ap.logger.warn("未找到字体文件，且无法使用系统自带字体，更换为转发消息组件以发送长消息，您可以在配置文件中调整相关设置。")
 
-                        self.ap.platform_cfg.data['long-text-process']['strategy'] = "forward"
+                        pipeline_config['output']['long-text-processing']['strategy'] = "forward"
             except:
                 traceback.print_exc()
                 self.ap.logger.error("加载字体文件失败({})，更换为转发消息组件以发送长消息，您可以在配置文件中调整相关设置。".format(use_font))
 
-                self.ap.platform_cfg.data['long-text-process']['strategy'] = "forward"
+                pipeline_config['output']['long-text-processing']['strategy'] = "forward"
 
         for strategy_cls in strategy.preregistered_strategies:
             if strategy_cls.name == config['strategy']:
@@ -69,7 +69,7 @@ class LongTextProcessStage(stage.PipelineStage):
         
         if contains_non_plain:
             self.ap.logger.debug("消息中包含非 Plain 组件，跳过长消息处理。")
-        elif len(str(query.resp_message_chain[-1])) > self.ap.platform_cfg.data['long-text-process']['threshold']:
+        elif len(str(query.resp_message_chain[-1])) > query.pipeline_config['output']['long-text-processing']['threshold']:
             query.resp_message_chain[-1] = platform_message.MessageChain(await self.strategy_impl.process(str(query.resp_message_chain[-1]), query))
 
         return entities.StageProcessResult(