fix(prompt): remove hard-coded import of prompt file paths (#279)

* Fix/develop memory bug (#274)

* 遗漏的历史映射

* 遗漏的历史映射

* fix_timeline_memories

* fix(web): update retrieve_type key

* Fix/develop memory bug (#276)

* 遗漏的历史映射

* 遗漏的历史映射

* fix_timeline_memories

* fix_timeline_memories

* write_gragp/bug_fix

* write_gragp/bug_fix

* write_gragp/bug_fix

* chore(celery): disable periodic task scheduling

* fix(prompt): remove hard-coded import of prompt file paths

---------

Co-authored-by: lixinyue11 <94037597+lixinyue11@users.noreply.github.com>
Co-authored-by: zhaoying <yzhao96@best-inc.com>
Co-authored-by: yingzhao <zhaoyingyz@126.com>
Co-authored-by: Ke Sun <kesun5@illinois.edu>

api/app/services/conversation_service.py

@@ -1,4 +1,5 @@
 """会话服务"""
+import os
 import uuid
 from datetime import datetime, timedelta
 from typing import Annotated
@@ -529,12 +530,12 @@ class ConversationService:
                 takeaways=[],
                 info_score=0,
             )
-
-        with open('app/services/prompt/conversation_summary_system.jinja2', 'r', encoding='utf-8') as f:
+        prompt_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'prompt')
+        with open(os.path.join(prompt_path, 'conversation_summary_system.jinja2'), 'r', encoding='utf-8') as f:
             system_prompt = f.read()
         rendered_system_message = Template(system_prompt).render()
 
-        with open('app/services/prompt/conversation_summary_user.jinja2', 'r', encoding='utf-8') as f:
+        with open(os.path.join(prompt_path, 'conversation_summary_user.jinja2'), 'r', encoding='utf-8') as f:
             user_prompt = f.read()
         rendered_user_message = Template(user_prompt).render(
             language=language,

api/app/services/memory_reflection_service.py

@@ -286,7 +286,7 @@ class MemoryReflectionService:
                 # 检查是否需要执行反思
                 should_execute = False
                 hours_diff = 0
-                
+
                 if current_reflection_time is None:
                     # 首次执行反思
                     should_execute = True
@@ -298,11 +298,11 @@ class MemoryReflectionService:
                             reflection_time = datetime.fromisoformat(current_reflection_time)
                         else:
                             reflection_time = current_reflection_time
-                        
+
                         current_time = datetime.now()
                         time_diff = current_time - reflection_time
                         hours_diff = int(time_diff.total_seconds() / 3600)
-                        
+
                         # 检查是否达到反思周期
                         if hours_diff >= iteration_period:
                             should_execute = True
@@ -312,7 +312,7 @@ class MemoryReflectionService:
                     except (ValueError, TypeError) as e:
                         api_logger.warning(f"解析反思时间失败: {e}，将执行反思")
                         should_execute = True
-                
+
                 if should_execute:
                     api_logger.info(f"与上次的反思时间间隔为: {hours_diff} 小时")
                     # 3. 执行反思引擎
@@ -345,7 +345,7 @@ class MemoryReflectionService:
                         "next_reflection_in_hours": iteration_period - hours_diff
                     }
 
-            
+
         except Exception as e:
             config_id = config_data.get("config_id", "unknown")
             api_logger.error(f"启动反思失败，config_id: {config_id}, end_user_id: {end_user_id}, 错误: {str(e)}")
@@ -356,7 +356,7 @@ class MemoryReflectionService:
                 "end_user_id": end_user_id,
                 "config_data": config_data
             }
-    
+
     def _create_reflection_config_from_data(self, config_data: Dict[str, Any]) -> ReflectionConfig:
         """Create reflective configuration objects from configuration data"""
 
@@ -364,12 +364,12 @@ class MemoryReflectionService:
         if reflexion_range_value is None or reflexion_range_value == "":
             reflexion_range_value = "partial"
         reflexion_range = ReflectionRange(reflexion_range_value)
-        
+
         baseline_value = config_data.get("baseline")
         if baseline_value is None or baseline_value == "":
             baseline_value = "TIME"
         baseline = ReflectionBaseline(baseline_value)
-        
+
         # iteration_period =
         iteration_period = config_data.get("iteration_period", 24)
         if isinstance(iteration_period, str):
@@ -377,7 +377,6 @@ class MemoryReflectionService:
                 iteration_period = int(iteration_period)
             except (ValueError, TypeError):
                 iteration_period = 24  # 默认24小时
-        
         return ReflectionConfig(
             enabled=config_data.get("enable_self_reflexion", False),
             iteration_period=str(iteration_period),  # ReflectionConfig期望字符串

api/app/services/prompt_optimizer_service.py

@@ -1,3 +1,4 @@
+import os
 import re
 import uuid
 from typing import Any, AsyncGenerator
@@ -182,11 +183,12 @@ class PromptOptimizerService:
             base_url=api_config.api_base
         ), type=ModelType(model_config.type))
         try:
-            with open('app/services/prompt/prompt_optimizer_system.jinja2', 'r', encoding='utf-8') as f:
+            prompt_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'prompt')
+            with open(os.path.join(prompt_path, 'prompt_optimizer_system.jinja2'), 'r', encoding='utf-8') as f:
                 opt_system_prompt = f.read()
             rendered_system_message = Template(opt_system_prompt).render()
 
-            with open('app/services/prompt/prompt_optimizer_user.jinja2', 'r', encoding='utf-8') as f:
+            with open(os.path.join(prompt_path, 'prompt_optimizer_user.jinja2'), 'r', encoding='utf-8') as f:
                 opt_user_prompt = f.read()
         except FileNotFoundError:
             raise BusinessException(message="System prompt template not found", code=BizCode.NOT_FOUND)