refactor: unify core pipeline logging with cs_agent logger

core/pydantic_ai_agent.py

@@ -22,15 +22,10 @@ from pydantic_ai.models.openai import OpenAIChatModel
 from pydantic_ai.providers.openai import OpenAIProvider
 from dotenv import load_dotenv
 from utils.metrics_tracker import emit as metrics_emit
-from utils.observability import emit_activity, build_trace_id
+from utils.observability import emit_activity
 from core.quote_state_machine import QuoteStateMachine
 from services.risk_service import RiskService
 from core.agent_pre_rules import AgentPreRuleService
-from core.find_image_flow import handle_find_image_batch_flow
-from core.order_flow import handle_order_notification
-from core.ai_reply_flow import execute_ai_turn
-from core.reply_finalize_flow import finalize_ai_reply
-from core.prompt_flow import build_prompt_bundle
 from core.order_helpers import parse_order_info, order_instruction as build_order_instruction
 from core.collection_intent_helpers import (
     append_requirement,
@@ -81,7 +76,6 @@ load_dotenv()
 
 from services.service_tuhui_upload import upload_to_tuhui
 from core.workflow_router import get_workflow_router
-from core.workflow_router import get_workflow_router
 
 # ========== 企业微信通知 ==========
 _WECHAT_WEBHOOK = os.getenv("WECHAT_WEBHOOK", "")
@@ -91,7 +85,7 @@ logger = logging.getLogger("cs_agent")
 async def _notify_wechat(content: str, tag: str = "通知"):
     """发送企业微信 markdown 通知，任何异常都发"""
     if not _WECHAT_WEBHOOK:
-        print(f"[{tag}] 未配置 WECHAT_WEBHOOK，跳过推送")
+        logger.info("[%s] 未配置 WECHAT_WEBHOOK，跳过推送", tag)
         return
     try:
         import httpx
@@ -102,11 +96,11 @@ async def _notify_wechat(content: str, tag: str = "通知"):
             })
             data = resp.json()
             if data.get("errcode") == 0:
-                print(f"[{tag}] 企业微信推送成功 ✓")
+                logger.info("[%s] 企业微信推送成功", tag)
             else:
-                print(f"[{tag}] 企业微信推送失败: {data}")
+                logger.warning("[%s] 企业微信推送失败: %s", tag, data)
     except Exception as e:
-        print(f"[{tag}] 企业微信发送异常: {e}")
+        logger.exception("[%s] 企业微信发送异常: %s", tag, e)
 
 
 async def _notify_wechat_overdue():
@@ -246,7 +240,7 @@ def load_skill_map(skills_dir: str = "skills") -> Dict[str, str]:
             else:
                 skill_map[skill_name] = content
         except Exception as e:
-            print(f"警告: 读取 {skill_file} 失败: {e}")
+            logger.warning("读取技能文件失败: %s | err=%s", skill_file, e)
     return skill_map
 
 
@@ -441,9 +435,7 @@ class CustomerServiceAgent:
     @staticmethod
     def _log_block(title: str, content: str):
         """统一的控制台分层日志输出。"""
-        print(f"{CustomerServiceAgent.C_PROMPT}[{title}]{CustomerServiceAgent.C_RESET}")
-        print(content)
-        print(f"{CustomerServiceAgent.C_MUTED}────────────────────{CustomerServiceAgent.C_RESET}")
+        logger.info("[%s]\n%s\n--------------------", title, content)
 
     @staticmethod
     def _normalize_reply_text(text: Optional[str]) -> str:
@@ -783,7 +775,7 @@ class CustomerServiceAgent:
                 return
             paid = float(m.group())
 
-            print(f"[Agent] 订单金额核查：报价 {quoted}元 vs 实付 {paid}元（客户 {customer_id}）")
+            logger.info("[Agent] 订单金额核查：报价 %s元 vs 实付 %s元（客户 %s）", quoted, paid, customer_id)
 
             # 实付金额明显低于报价（低于报价的 60%）才预警
             if paid < quoted * 0.6:
@@ -795,10 +787,10 @@ class CustomerServiceAgent:
                     f"实付：{paid}元\n"
                     f"差额：{quoted - paid:.1f}元 — 请人工核查"
                 )
-                print(f"[Agent] {msg}")
+                logger.warning("[Agent] %s", msg)
                 await self._notify_wechat(msg)
         except Exception as e:
-            print(f"[Agent] 订单金额核查失败: {e}")
+            logger.exception("[Agent] 订单金额核查失败: %s", e)
 
     def _extract_image_url(self, msg: str) -> str:
         """从消息中提取图片URL，兼容纯URL和 text#*#url 两种格式"""
@@ -887,7 +879,7 @@ class CustomerServiceAgent:
                     quality=r.get("quality", ""),
                 )
             except Exception as e:
-                print(f"[Agent] Workflow 批量任务创建失败: {e}")
+                logger.exception("[Agent] Workflow 批量任务创建失败: %s", e)
 
     _calc_requirement_surcharge = staticmethod(calc_requirement_surcharge)
     _build_batch_quote_reply = staticmethod(build_batch_quote_reply)
@@ -945,7 +937,7 @@ class CustomerServiceAgent:
                     raise RuntimeError(str(link))
                 links.append(link)
         except Exception as e:
-            print(f"[Agent] 找图自动处理失败，回退需求澄清: {e}")
+            logger.exception("[Agent] 找图自动处理失败，回退需求澄清: %s", e)
             return {
                 "reply": "这种可以做类似款。你先说下具体需求：要几张、是否改字、尺寸比例、交付格式（单图/打包链接），我按需求给你直接做。",
                 "need_transfer": False,
@@ -1064,7 +1056,7 @@ async def test_agent():
     )
 
     response = await agent.process_message(test_msg)
-    print(f"回复内容: {response.reply}")
+    logger.info("回复内容: %s", response.reply)
 
 
 if __name__ == "__main__":