修改了request_id格式和ouput——handle

api/dependencies.py

@@ -6,6 +6,8 @@ API依赖注入模块
 """
 
 from typing import Optional
+from datetime import datetime
+import uuid
 from fastapi import Depends
 from core.config import get_config_manager, ConfigManager
 from core.ai import AIAgent
@@ -14,21 +16,15 @@ from utils.file_io import OutputManager
 # 全局依赖
 config_manager: Optional[ConfigManager] = None
 ai_agent: Optional[AIAgent] = None
-output_manager: Optional[OutputManager] = None
 
 def initialize_dependencies():
     """初始化全局依赖"""
-    global config_manager, ai_agent, output_manager
+    global config_manager, ai_agent
     
     # 初始化配置 - 使用服务器模式
     config_manager = get_config_manager()
     config_manager.load_from_directory("config", server_mode=True)
     
-    # 初始化输出管理器
-    from datetime import datetime
-    run_id = f"api_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
-    output_manager = OutputManager("result", run_id)
-    
     # 初始化AI代理
     from core.config import AIModelConfig
     ai_config = config_manager.get_config('ai_model', AIModelConfig)
@@ -46,13 +42,30 @@ def get_ai_agent() -> AIAgent:
         raise RuntimeError("AI代理未初始化")
     return ai_agent
 
+def create_output_manager() -> OutputManager:
+    """为每个请求创建新的输出管理器"""
+    # 为每个请求生成唯一的run_id
+    run_id = f"api_request-{datetime.now().strftime('%Y%m%d-%H%M%S')}-{str(uuid.uuid4())[:8]}"
+    return OutputManager("result", run_id)
+
 def get_output_manager() -> OutputManager:
-    """获取输出管理器"""
-    if output_manager is None:
-        raise RuntimeError("输出管理器未初始化")
-    return output_manager
+    """获取输出管理器（每次调用创建新实例）"""
+    return create_output_manager()
 
 def get_tweet_service():
     """获取文字内容服务"""
     from api.services.tweet import TweetService
     return TweetService(get_ai_agent(), get_config(), get_output_manager())
+
+def get_poster_service():
+    """获取海报服务"""
+    from api.services.poster import PosterService
+    return PosterService(get_ai_agent(), get_config(), get_output_manager())
+
+def get_prompt_builder():
+    """获取提示词构建器服务"""
+    from api.services.prompt_builder import PromptBuilderService
+    from api.services.prompt_service import PromptService
+    
+    prompt_service = PromptService(get_config())
+    return PromptBuilderService(get_config(), prompt_service) 

api/models/poster.py

@@ -39,7 +39,7 @@ class PosterResponse(BaseModel):
     class Config:
         schema_extra = {
             "example": {
-                "request_id": "poster_20230715_123456",
+                "request_id": "poster-20240715-123456-a1b2c3d4",
                 "topic_index": "1",
                 "poster_path": "/result/run_20230715_123456/topic_1/poster_vibrant.png",
                 "template_name": "vibrant"
@@ -92,7 +92,7 @@ class PosterTextResponse(BaseModel):
     class Config:
         schema_extra = {
             "example": {
-                "request_id": "text_20230715_123456",
+                "request_id": "text-20240715-123456-a1b2c3d4",
                 "text_content": {
                     "title": "紫禁城的秘密",
                     "subtitle": "600年历史，等你探索",

api/models/tweet.py

@@ -39,7 +39,7 @@ class TopicResponse(BaseModel):
     class Config:
         schema_extra = {
             "example": {
-                "request_id": "topic_20230715_123456",
+                "request_id": "topic-20240715-123456-a1b2c3d4",
                 "topics": [
                     {
                         "index": "1",
@@ -97,7 +97,7 @@ class ContentResponse(BaseModel):
     class Config:
         schema_extra = {
             "example": {
-                "request_id": "content_20230715_123456",
+                "request_id": "content-20240715-123456-a1b2c3d4",
                 "topic_index": "1",
                 "content": {
                     "title": "【北京故宫】避开人潮的秘密路线，90%的人都不知道！",
@@ -153,7 +153,7 @@ class JudgeResponse(BaseModel):
     class Config:
         schema_extra = {
             "example": {
-                "request_id": "judge_20230715_123456",
+                "request_id": "judge-20240715-123456-a1b2c3d4",
                 "topic_index": "1",
                 "content": {
                     "title": "【北京故宫】避开人潮的秘密路线，90%的人都不知道！",
@@ -201,7 +201,7 @@ class PipelineResponse(BaseModel):
     class Config:
         schema_extra = {
             "example": {
-                "request_id": "pipeline_20230715_123456",
+                "request_id": "pipeline-20240715-123456-a1b2c3d4",
                 "topics": [
                     {
                         "index": "1",

api/routers/prompt.py

@@ -110,7 +110,7 @@ class GenerateContentResponse(BaseModel):
     class Config:
         schema_extra = {
             "example": {
-                "request_id": "content_20230715_123456",
+                "request_id": "content-20240715-123456-a1b2c3d4",
                 "topic_index": "1",
                 "content": {
                     "title": "【北京故宫】避开人潮的秘密路线，90%的人都不知道！",

api/services/poster.py

@@ -63,7 +63,7 @@ class PosterService:
             template_name = self.poster_generator._select_template()
         
         # 生成请求ID
-        request_id = f"poster_{datetime.now().strftime('%Y%m%d_%H%M%S')}_{str(uuid.uuid4())[:8]}"
+        request_id = f"poster-{datetime.now().strftime('%Y%m%d-%H%M%S')}-{str(uuid.uuid4())[:8]}"
         
         logger.info(f"海报生成完成，请求ID: {request_id}, 主题索引: {topic_index}, 模板: {template_name}")
         return request_id, topic_index, poster_path, template_name
@@ -117,7 +117,7 @@ class PosterService:
         )
         
         # 生成请求ID
-        request_id = f"text_{datetime.now().strftime('%Y%m%d_%H%M%S')}_{str(uuid.uuid4())[:8]}"
+        request_id = f"text-{datetime.now().strftime('%Y%m%d-%H%M%S')}-{str(uuid.uuid4())[:8]}"
         
         logger.info(f"海报文案生成完成，请求ID: {request_id}")
         return request_id, text_content 

api/services/tweet.py

@@ -92,7 +92,7 @@ class TweetService:
             return str(uuid.uuid4()), []
             
         # 生成请求ID
-        request_id = f"topic_{datetime.now().strftime('%Y%m%d_%H%M%S')}_{str(uuid.uuid4())[:8]}"
+        request_id = f"topic-{datetime.now().strftime('%Y%m%d-%H%M%S')}-{str(uuid.uuid4())[:8]}"
         
         logger.info(f"选题生成完成，请求ID: {request_id}, 数量: {len(topics)}")
         return request_id, topics
@@ -165,7 +165,7 @@ class TweetService:
                 content['judge_success'] = False
         
         # 生成请求ID
-        request_id = f"content_{datetime.now().strftime('%Y%m%d_%H%M%S')}_{str(uuid.uuid4())[:8]}"
+        request_id = f"content-{datetime.now().strftime('%Y%m%d-%H%M%S')}-{str(uuid.uuid4())[:8]}"
         
         logger.info(f"内容生成完成，请求ID: {request_id}, 选题索引: {topic_index}")
         return request_id, topic_index, content
@@ -189,7 +189,7 @@ class TweetService:
         content = await self.content_generator.generate_content_with_prompt(topic, system_prompt, user_prompt)
         
         # 生成请求ID
-        request_id = f"content_{datetime.now().strftime('%Y%m%d_%H%M%S')}_{str(uuid.uuid4())[:8]}"
+        request_id = f"content-{datetime.now().strftime('%Y%m%d-%H%M%S')}-{str(uuid.uuid4())[:8]}"
         
         logger.info(f"内容生成完成，请求ID: {request_id}, 选题索引: {topic_index}")
         return request_id, topic_index, content
@@ -243,7 +243,7 @@ class TweetService:
         judge_success = judged_data.get('judge_success', False)
         
         # 生成请求ID
-        request_id = f"judge_{datetime.now().strftime('%Y%m%d_%H%M%S')}_{str(uuid.uuid4())[:8]}"
+        request_id = f"judge-{datetime.now().strftime('%Y%m%d-%H%M%S')}-{str(uuid.uuid4())[:8]}"
         
         logger.info(f"内容审核完成，请求ID: {request_id}, 选题索引: {topic_index}, 审核结果: {judge_success}")
         return request_id, topic_index, judged_data, judge_success
@@ -274,7 +274,7 @@ class TweetService:
         logger.info(f"开始运行完整流水线，日期: {dates}, 数量: {num_topics}, 内嵌审核: {auto_judge}")
         
         # 生成请求ID
-        request_id = f"pipeline_{datetime.now().strftime('%Y%m%d_%H%M%S')}_{str(uuid.uuid4())[:8]}"
+        request_id = f"pipeline-{datetime.now().strftime('%Y%m%d-%H%M%S')}-{str(uuid.uuid4())[:8]}"
         
         # 步骤1: 生成选题
         _, topics = await self.generate_topics(dates, num_topics, styles, audiences, scenic_spots, products)