fix: 改进错误处理和清理测试代码
## 主要修复 ### 1. JSON 解析错误处理 - 修复所有 Agent 的 LLM 响应解析失败时返回原始内容的问题 - 当 JSON 解析失败时，返回友好的兜底消息而不是原始文本 - 影响文件: customer_service.py, order.py, product.py, aftersale.py ### 2. FAQ 快速路径修复 - 修复 customer_service.py 中变量定义顺序问题 - has_faq_query 在使用前未定义导致 NameError - 添加详细的错误日志记录 ### 3. Chatwoot 集成改进 - 添加响应内容调试日志 - 改进错误处理和日志记录 ### 4. 订单查询优化 - 将订单列表默认返回数量从 10 条改为 5 条 - 统一 MCP 工具层和 Mall Client 层的默认值 ### 5. 代码清理 - 删除所有测试代码和示例文件 - 刋试文件包括: test_*.py, test_*.html, test_*.sh - 删除测试目录: tests/, agent/tests/, agent/examples/ Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
wangliang
@@ -140,11 +140,18 @@ async def aftersale_agent(state: AgentState) -> AgentState:
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state["handoff_reason"] = result.get("reason", "Complex aftersale issue")
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return state
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except json.JSONDecodeError:
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state = set_response(state, response.content)
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except json.JSONDecodeError as e:
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logger.error(
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"Failed to parse aftersale agent LLM response as JSON",
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error=str(e),
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conversation_id=state.get("conversation_id"),
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raw_content=response.content[:500] if response.content else "EMPTY"
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)
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# Don't use raw content as response - use fallback instead
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state = set_response(state, "抱歉，我无法理解您的请求。请尝试重新表述或联系人工客服。")
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return state
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except Exception as e:
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logger.error("Aftersale agent failed", error=str(e))
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state["error"] = str(e)
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@@ -66,7 +66,47 @@ async def customer_service_agent(state: AgentState) -> AgentState:
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# Get detected language
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locale = state.get("detected_language", "en")
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# Auto-detect category and query FAQ
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# Check if we have already queried FAQ
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tool_calls = state.get("tool_calls", [])
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has_faq_query = any(tc.get("tool_name") in ["query_faq", "search_knowledge_base"] for tc in tool_calls)
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# ========== ROUTING: Use sub_intent from router if available ==========
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# Router already classified the intent, use it for direct FAQ query
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sub_intent = state.get("sub_intent")
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# Map sub_intent to FAQ category
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sub_intent_to_category = {
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"register_inquiry": "register",
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"order_inquiry": "order",
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"payment_inquiry": "payment",
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"shipment_inquiry": "shipment",
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"return_inquiry": "return",
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"policy_inquiry": "return", # Policy queries use return FAQ
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}
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# Check if we should auto-query FAQ based on sub_intent
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if sub_intent in sub_intent_to_category and not has_faq_query:
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category = sub_intent_to_category[sub_intent]
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logger.info(
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f"Auto-querying FAQ based on sub_intent: {sub_intent} -> category: {category}",
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conversation_id=state["conversation_id"]
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)
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state = add_tool_call(
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state,
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tool_name="query_faq",
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arguments={
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"category": category,
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"locale": locale,
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"limit": 5
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},
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server="strapi"
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)
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state["state"] = ConversationState.TOOL_CALLING.value
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return state
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# ========================================================================
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# Auto-detect category and query FAQ (fallback if sub_intent not available)
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message_lower = state["current_message"].lower()
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# 定义分类关键词（支持多语言：en, nl, de, es, fr, it, tr, zh）
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@@ -163,17 +203,13 @@ async def customer_service_agent(state: AgentState) -> AgentState:
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],
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}
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# 检测分类
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# 检测分类（仅在未通过 sub_intent 匹配时使用）
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detected_category = None
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for category, keywords in category_keywords.items():
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if any(keyword in message_lower for keyword in keywords):
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detected_category = category
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break
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# 检查是否已经查询过 FAQ
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tool_calls = state.get("tool_calls", [])
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has_faq_query = any(tc.get("tool_name") in ["query_faq", "search_knowledge_base"] for tc in tool_calls)
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# 如果检测到分类且未查询过 FAQ，自动查询
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if detected_category and not has_faq_query:
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logger.info(
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@@ -232,44 +268,73 @@ async def customer_service_agent(state: AgentState) -> AgentState:
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try:
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llm = get_llm_client()
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response = await llm.chat(messages, temperature=0.7)
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# Log raw response for debugging
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logger.info(
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"Customer service LLM response",
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conversation_id=state["conversation_id"],
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response_preview=response.content[:300] if response.content else "EMPTY",
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response_length=len(response.content) if response.content else 0
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)
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# Parse response
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content = response.content.strip()
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# Handle markdown code blocks
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if content.startswith("```"):
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content = content.split("```")[1]
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if content.startswith("json"):
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content = content[4:]
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result = json.loads(content)
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action = result.get("action")
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if action == "call_tool":
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# Add tool call to state
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state = add_tool_call(
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state,
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tool_name=result["tool_name"],
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arguments=result.get("arguments", {}),
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server="strapi"
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parts = content.split("```")
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if len(parts) >= 2:
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content = parts[1]
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if content.startswith("json"):
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content = content[4:]
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content = content.strip()
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try:
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result = json.loads(content)
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action = result.get("action")
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if action == "call_tool":
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# Add tool call to state
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state = add_tool_call(
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state,
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tool_name=result["tool_name"],
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arguments=result.get("arguments", {}),
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server="strapi"
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)
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state["state"] = ConversationState.TOOL_CALLING.value
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elif action == "respond":
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state = set_response(state, result["response"])
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state["state"] = ConversationState.GENERATING.value
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elif action == "handoff":
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state["requires_human"] = True
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state["handoff_reason"] = result.get("reason", "User request")
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else:
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# Unknown action, treat as plain text response
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logger.warning(
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"Unknown action in LLM response",
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action=action,
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conversation_id=state["conversation_id"]
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)
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state = set_response(state, response.content)
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return state
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except json.JSONDecodeError as e:
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# JSON parsing failed
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logger.error(
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"Failed to parse LLM response as JSON",
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error=str(e),
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raw_content=content[:500],
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conversation_id=state["conversation_id"]
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)
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state["state"] = ConversationState.TOOL_CALLING.value
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elif action == "respond":
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state = set_response(state, result["response"])
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state["state"] = ConversationState.GENERATING.value
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elif action == "handoff":
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state["requires_human"] = True
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state["handoff_reason"] = result.get("reason", "User request")
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return state
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except json.JSONDecodeError:
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# LLM returned plain text, use as response
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state = set_response(state, response.content)
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return state
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# Don't use raw content as response - use fallback instead
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state = set_response(state, "抱歉，我无法理解您的请求。请尝试重新表述或联系人工客服。")
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return state
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except Exception as e:
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logger.error("Customer service agent failed", error=str(e))
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logger.error("Customer service agent failed", error=str(e), exc_info=True)
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state["error"] = str(e)
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return state
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@@ -64,8 +64,8 @@ ORDER_AGENT_PROMPT = """你是一个专业的 B2B 订单服务助手。
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2. **get_mall_order_list** - 从商城 API 查询订单列表（推荐使用）
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- user_token: 用户 token（自动注入）
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- page: 页码（可选，默认 1）
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- limit: 每页数量（可选，默认 10）
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- 说明：查询用户的所有订单，按时间倒序排列
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- limit: 每页数量（可选，默认 5）
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- 说明：查询用户的所有订单，按时间倒序排列，返回最近的 5 个订单
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3. **get_logistics** - 从商城 API 查询物流信息
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- order_id: 订单号（必需）
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@@ -339,8 +339,8 @@ async def order_agent(state: AgentState) -> AgentState:
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error=str(e),
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content_preview=content[:500]
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)
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# 如果解析失败，尝试将原始内容作为直接回复
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state = set_response(state, response.content)
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# Don't use raw content as response - use fallback instead
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state = set_response(state, "抱歉，我无法理解您的请求。请尝试重新表述或联系人工客服。")
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return state
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action = result.get("action")
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@@ -381,6 +381,14 @@ async def order_agent(state: AgentState) -> AgentState:
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if tool_name in ["get_mall_order", "get_logistics", "query_order"]:
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arguments["order_id"] = state["entities"]["order_id"]
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# Force limit=5 for order list queries (unless explicitly set)
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if tool_name == "get_mall_order_list" and "limit" not in arguments:
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arguments["limit"] = 5
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logger.debug(
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"Forced limit=5 for order list query",
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conversation_id=state["conversation_id"]
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)
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state = add_tool_call(
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state,
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tool_name=result["tool_name"],
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@@ -730,8 +738,11 @@ def _parse_mall_order_data(data: dict[str, Any]) -> dict[str, Any]:
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if actual_order_data.get("remark") or actual_order_data.get("user_remark"):
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order_data["remark"] = actual_order_data.get("remark", actual_order_data.get("user_remark", ""))
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# 物流信息（如果有）
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if actual_order_data.get("parcels") and len(actual_order_data.get("parcels", [])) > 0:
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# 物流信息（如果有）- 添加 has_parcels 标记用于判断是否显示物流按钮
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has_parcels = actual_order_data.get("parcels") and len(actual_order_data.get("parcels", [])) > 0
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order_data["has_parcels"] = has_parcels
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if has_parcels:
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# parcels 是一个数组，包含物流信息
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first_parcel = actual_order_data["parcels"][0] if isinstance(actual_order_data["parcels"], list) else actual_order_data["parcels"]
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if isinstance(first_parcel, dict):
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@@ -23,7 +23,7 @@ PRODUCT_AGENT_PROMPT = """你是一个专业的 B2B 商品顾问助手。
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1. **search_products** - 搜索商品
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- keyword: 搜索关键词（商品名称、编号等）
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- page_size: 每页数量（默认 60，最大 100）
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- page_size: 每页数量（默认 5，最大 100）
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- page: 页码（默认 1）
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- 说明：此工具使用 Mall API 搜索商品 SPU，支持用户 token 认证，返回卡片格式展示
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@@ -231,6 +231,14 @@ async def product_agent(state: AgentState) -> AgentState:
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arguments["user_id"] = state["user_id"]
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arguments["account_id"] = state["account_id"]
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# Set default page_size if not provided
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if "page_size" not in arguments:
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arguments["page_size"] = 5
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# Set default page if not provided
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if "page" not in arguments:
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arguments["page"] = 1
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# Map "query" parameter to "keyword" for compatibility
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if "query" in arguments and "keyword" not in arguments:
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arguments["keyword"] = arguments.pop("query")
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@@ -272,11 +280,18 @@ async def product_agent(state: AgentState) -> AgentState:
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state["state"] = ConversationState.GENERATING.value
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return state
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except json.JSONDecodeError:
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state = set_response(state, response.content)
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except json.JSONDecodeError as e:
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logger.error(
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"Failed to parse product agent LLM response as JSON",
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error=str(e),
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conversation_id=state.get("conversation_id"),
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raw_content=response.content[:500] if response.content else "EMPTY"
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)
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# Don't use raw content as response - use fallback instead
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state = set_response(state, "抱歉，我无法理解您的请求。请尝试重新表述或联系人工客服。")
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return state
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except Exception as e:
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logger.error("Product agent failed", error=str(e))
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state["error"] = str(e)
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@@ -104,9 +104,9 @@ async def classify_intent(state: AgentState) -> AgentState:
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# Parse JSON response
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content = response.content.strip()
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# Log raw response for debugging
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logger.debug(
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logger.info(
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"LLM response for intent classification",
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response_preview=content[:500] if content else "EMPTY",
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content_length=len(content) if content else 0
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@@ -154,7 +154,8 @@ class ZhipuLLMClient:
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)
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# Determine if reasoning mode should be used
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use_reasoning = enable_reasoning if enable_reasoning is not None else self._should_use_reasoning(formatted_messages)
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# 强制禁用深度思考模式以提升响应速度（2026-01-26）
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use_reasoning = False # Override all settings to disable thinking mode
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if use_reasoning:
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logger.info("Reasoning mode enabled for this request")
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@@ -155,6 +155,109 @@ def get_field_label(field_key: str, language: str = "en") -> str:
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return ORDER_FIELD_LABELS[language].get(field_key, ORDER_FIELD_LABELS["en"].get(field_key, field_key))
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# 订单状态多语言映射
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ORDER_STATUS_LABELS = {
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"zh": { # 中文
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"0": "已取消",
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"1": "待支付",
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"2": "已支付",
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"3": "已发货",
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"4": "已签收",
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"15": "已完成",
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"100": "超时取消",
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"unknown": "未知"
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},
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"en": { # English
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"0": "Cancelled",
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"1": "Pending Payment",
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"2": "Paid",
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"3": "Shipped",
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"4": "Delivered",
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"15": "Completed",
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"100": "Timeout Cancelled",
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"unknown": "Unknown"
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},
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"nl": { # Dutch (荷兰语)
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"0": "Geannuleerd",
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"1": "Wachtend op betaling",
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"2": "Betaald",
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"3": "Verzonden",
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"4": "Geleverd",
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"15": "Voltooid",
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"100": "Time-out geannuleerd",
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"unknown": "Onbekend"
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},
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"de": { # German (德语)
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"0": "Storniert",
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"1": "Zahlung ausstehend",
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"2": "Bezahlt",
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"3": "Versandt",
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"4": "Zugestellt",
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"15": "Abgeschlossen",
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"100": "Zeitüberschreitung storniert",
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"unknown": "Unbekannt"
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},
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"es": { # Spanish (西班牙语)
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"0": "Cancelado",
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"1": "Pago pendiente",
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"2": "Pagado",
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"3": "Enviado",
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"4": "Entregado",
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"15": "Completado",
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"100": "Cancelado por tiempo límite",
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"unknown": "Desconocido"
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},
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"fr": { # French (法语)
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"0": "Annulé",
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"1": "En attente de paiement",
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"2": "Payé",
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"3": "Expédié",
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"4": "Livré",
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"15": "Terminé",
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"100": "Annulé pour expiration",
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"unknown": "Inconnu"
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},
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"it": { # Italian (意大利语)
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"0": "Annullato",
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"1": "In attesa di pagamento",
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"2": "Pagato",
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"3": "Spedito",
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"4": "Consegnato",
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"15": "Completato",
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"100": "Annullato per timeout",
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"unknown": "Sconosciuto"
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},
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"tr": { # Turkish (土耳其语)
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"0": "İptal edildi",
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"1": "Ödeme bekleniyor",
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"2": "Ödendi",
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"3": "Kargolandı",
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"4": "Teslim edildi",
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"15": "Tamamlandı",
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"100": "Zaman aşımı iptal edildi",
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"unknown": "Bilinmiyor"
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}
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}
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def get_status_label(status_code: str, language: str = "en") -> str:
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"""获取指定语言的订单状态标签
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Args:
|
||||
status_code: 状态码（如 "0", "1", "2" 等）
|
||||
language: 语言代码（默认 "en"）
|
||||
|
||||
Returns:
|
||||
对应语言的状态标签
|
||||
"""
|
||||
if language not in ORDER_STATUS_LABELS:
|
||||
language = "en" # 默认使用英文
|
||||
return ORDER_STATUS_LABELS[language].get(
|
||||
str(status_code),
|
||||
ORDER_STATUS_LABELS["en"].get(str(status_code), ORDER_STATUS_LABELS["en"]["unknown"])
|
||||
)
|
||||
|
||||
|
||||
class MessageType(str, Enum):
|
||||
"""Chatwoot message types"""
|
||||
INCOMING = "incoming"
|
||||
@@ -507,18 +610,25 @@ class ChatwootClient:
|
||||
|
||||
total_amount = order_data.get("total_amount", "0")
|
||||
|
||||
# 根据状态码映射状态和颜色
|
||||
status_mapping = {
|
||||
"0": {"status": "cancelled", "text": "已取消", "color": "text-red-600"},
|
||||
"1": {"status": "pending", "text": "待支付", "color": "text-yellow-600"},
|
||||
"2": {"status": "paid", "text": "已支付", "color": "text-blue-600"},
|
||||
"3": {"status": "shipped", "text": "已发货", "color": "text-purple-600"},
|
||||
"4": {"status": "signed", "text": "已签收", "color": "text-green-600"},
|
||||
"15": {"status": "completed", "text": "已完成", "color": "text-green-600"},
|
||||
"100": {"status": "cancelled", "text": "超时取消", "color": "text-red-600"},
|
||||
# 根据状态码映射状态和颜色（支持多语言）
|
||||
status_code_to_key = {
|
||||
"0": {"key": "cancelled", "color": "text-red-600"},
|
||||
"1": {"key": "pending", "color": "text-yellow-600"},
|
||||
"2": {"key": "paid", "color": "text-blue-600"},
|
||||
"3": {"key": "shipped", "color": "text-purple-600"},
|
||||
"4": {"key": "signed", "color": "text-green-600"},
|
||||
"15": {"key": "completed", "color": "text-green-600"},
|
||||
"100": {"key": "cancelled", "color": "text-red-600"},
|
||||
}
|
||||
|
||||
status_info = status_mapping.get(str(status), {"status": "unknown", "text": status_text or "未知", "color": "text-gray-600"})
|
||||
status_key_info = status_code_to_key.get(str(status), {"key": "unknown", "color": "text-gray-600"})
|
||||
status_label = get_status_label(str(status), language)
|
||||
|
||||
status_info = {
|
||||
"status": status_key_info["key"],
|
||||
"text": status_label,
|
||||
"color": status_key_info["color"]
|
||||
}
|
||||
|
||||
# 构建商品列表
|
||||
items = order_data.get("items", [])
|
||||
@@ -910,18 +1020,27 @@ class ChatwootClient:
|
||||
sample_items=str(formatted_items[:2]) if formatted_items else "[]"
|
||||
)
|
||||
|
||||
# 构建操作按钮
|
||||
# 构建操作按钮 - 根据是否有物流信息决定是否显示物流按钮
|
||||
actions = [
|
||||
{
|
||||
"text": details_text,
|
||||
"reply": f"{details_reply_prefix}{order_id}"
|
||||
},
|
||||
{
|
||||
"text": logistics_text,
|
||||
"reply": f"{logistics_reply_prefix}{order_id}"
|
||||
}
|
||||
]
|
||||
|
||||
# 只有当订单有物流信息时才显示物流按钮
|
||||
if order.get("has_parcels", False):
|
||||
actions.append({
|
||||
"text": logistics_text,
|
||||
"reply": f"{logistics_reply_prefix}{order_id}"
|
||||
})
|
||||
|
||||
logger.debug(
|
||||
f"Built {len(actions)} actions for order {order_id}",
|
||||
has_parcels=order.get("has_parcels", False),
|
||||
actions_count=len(actions)
|
||||
)
|
||||
|
||||
# 构建单个订单
|
||||
order_data = {
|
||||
"orderNumber": order_id,
|
||||
@@ -964,6 +1083,165 @@ class ChatwootClient:
|
||||
|
||||
return response.json()
|
||||
|
||||
async def send_product_cards(
|
||||
self,
|
||||
conversation_id: int,
|
||||
products: list[dict[str, Any]],
|
||||
language: str = "en"
|
||||
) -> dict[str, Any]:
|
||||
"""发送商品搜索结果（使用 cards 格式）
|
||||
|
||||
Args:
|
||||
conversation_id: 会话 ID
|
||||
products: 商品列表，每个商品包含：
|
||||
- spu_id: SPU ID
|
||||
- spu_sn: SPU 编号
|
||||
- product_name: 商品名称
|
||||
- product_image: 商品图片 URL
|
||||
- price: 价格
|
||||
- special_price: 特价（可选）
|
||||
- stock: 库存
|
||||
- sales_count: 销量
|
||||
language: 语言代码（en, nl, de, es, fr, it, tr, zh），默认 en
|
||||
|
||||
Returns:
|
||||
发送结果
|
||||
|
||||
Example:
|
||||
>>> products = [
|
||||
... {
|
||||
... "spu_id": "12345",
|
||||
... "product_name": "Product A",
|
||||
... "product_image": "https://...",
|
||||
... "price": "99.99",
|
||||
... "stock": 100
|
||||
... }
|
||||
... ]
|
||||
>>> await chatwoot.send_product_cards(123, products, language="zh")
|
||||
"""
|
||||
# 获取前端 URL
|
||||
frontend_url = settings.frontend_url.rstrip('/')
|
||||
|
||||
# 构建商品卡片
|
||||
cards = []
|
||||
|
||||
for product in products:
|
||||
spu_id = product.get("spu_id", "")
|
||||
spu_sn = product.get("spu_sn", "")
|
||||
product_name = product.get("product_name", "Unknown Product")
|
||||
product_image = product.get("product_image", "")
|
||||
price = product.get("price", "0")
|
||||
special_price = product.get("special_price")
|
||||
stock = product.get("stock", 0)
|
||||
sales_count = product.get("sales_count", 0)
|
||||
|
||||
# 价格显示（如果有特价则显示特价）
|
||||
try:
|
||||
price_num = float(price) if price else 0
|
||||
price_text = f"€{price_num:.2f}"
|
||||
except (ValueError, TypeError):
|
||||
price_text = str(price) if price else "€0.00"
|
||||
|
||||
# 构建描述
|
||||
if language == "zh":
|
||||
description_parts = []
|
||||
if special_price and float(special_price) < float(price or 0):
|
||||
try:
|
||||
special_num = float(special_price)
|
||||
description_parts.append(f"特价: €{special_num:.2f}")
|
||||
except:
|
||||
pass
|
||||
if stock is not None:
|
||||
description_parts.append(f"库存: {stock}")
|
||||
if sales_count:
|
||||
description_parts.append(f"已售: {sales_count}")
|
||||
description = " | ".join(description_parts) if description_parts else "暂无详细信息"
|
||||
else:
|
||||
description_parts = []
|
||||
if special_price and float(special_price) < float(price or 0):
|
||||
try:
|
||||
special_num = float(special_price)
|
||||
description_parts.append(f"Special: €{special_num:.2f}")
|
||||
except:
|
||||
pass
|
||||
if stock is not None:
|
||||
description_parts.append(f"Stock: {stock}")
|
||||
if sales_count:
|
||||
description_parts.append(f"Sold: {sales_count}")
|
||||
description = " | ".join(description_parts) if description_parts else "No details available"
|
||||
|
||||
# 构建操作按钮
|
||||
actions = []
|
||||
if language == "zh":
|
||||
actions.append({
|
||||
"type": "link",
|
||||
"text": "查看详情",
|
||||
"uri": f"{frontend_url}/product/detail?spuId={spu_id}"
|
||||
})
|
||||
if stock and stock > 0:
|
||||
actions.append({
|
||||
"type": "link",
|
||||
"text": "立即购买",
|
||||
"uri": f"{frontend_url}/product/detail?spuId={spu_id}"
|
||||
})
|
||||
else:
|
||||
actions.append({
|
||||
"type": "link",
|
||||
"text": "View Details",
|
||||
"uri": f"{frontend_url}/product/detail?spuId={spu_id}"
|
||||
})
|
||||
if stock and stock > 0:
|
||||
actions.append({
|
||||
"type": "link",
|
||||
"text": "Buy Now",
|
||||
"uri": f"{frontend_url}/product/detail?spuId={spu_id}"
|
||||
})
|
||||
|
||||
# 构建卡片
|
||||
card = {
|
||||
"title": product_name,
|
||||
"description": description,
|
||||
"media_url": product_image,
|
||||
"actions": actions
|
||||
}
|
||||
|
||||
cards.append(card)
|
||||
|
||||
# 发送 cards 类型消息
|
||||
client = await self._get_client()
|
||||
|
||||
content_attributes = {
|
||||
"items": cards
|
||||
}
|
||||
|
||||
# 添加标题
|
||||
if language == "zh":
|
||||
content = f"找到 {len(products)} 个商品"
|
||||
else:
|
||||
content = f"Found {len(products)} products"
|
||||
|
||||
payload = {
|
||||
"content": content,
|
||||
"content_type": "cards",
|
||||
"content_attributes": content_attributes
|
||||
}
|
||||
|
||||
logger.info(
|
||||
"Sending product cards",
|
||||
conversation_id=conversation_id,
|
||||
products_count=len(products),
|
||||
language=language,
|
||||
payload_preview=str(payload)[:1000]
|
||||
)
|
||||
|
||||
response = await client.post(
|
||||
f"/conversations/{conversation_id}/messages",
|
||||
json=payload
|
||||
)
|
||||
response.raise_for_status()
|
||||
|
||||
return response.json()
|
||||
|
||||
# ============ Conversations ============
|
||||
|
||||
async def get_conversation(self, conversation_id: int) -> dict[str, Any]:
|
||||
|
||||
@@ -51,6 +51,8 @@ system_prompt: |
|
||||
|
||||
## Output Format
|
||||
|
||||
⚠️ **CRITICAL**: You MUST return a valid JSON object. Do NOT chat with the user. Do NOT provide explanations outside the JSON.
|
||||
|
||||
Please return in JSON format with the following fields:
|
||||
```json
|
||||
{
|
||||
@@ -64,10 +66,34 @@ system_prompt: |
|
||||
}
|
||||
```
|
||||
|
||||
## Examples
|
||||
|
||||
**Example 1**:
|
||||
User: "Where is my order 123456?"
|
||||
Response:
|
||||
```json
|
||||
{"intent": "order", "confidence": 0.95, "sub_intent": "order_query", "entities": {"order_id": "123456"}, "reasoning": "User asking about order status"}
|
||||
```
|
||||
|
||||
**Example 2**:
|
||||
User: "退货政策是什么"
|
||||
Response:
|
||||
```json
|
||||
{"intent": "customer_service", "confidence": 0.90, "sub_intent": "return_policy", "entities": {}, "reasoning": "User asking about return policy"}
|
||||
```
|
||||
|
||||
**Example 3**:
|
||||
User: "I want to return this item"
|
||||
Response:
|
||||
```json
|
||||
{"intent": "aftersale", "confidence": 0.85, "sub_intent": "return_request", "entities": {}, "reasoning": "User wants to return an item"}
|
||||
```
|
||||
|
||||
## Notes
|
||||
- If intent is unclear, confidence should be lower
|
||||
- If unable to determine intent, return "unknown"
|
||||
- Entity extraction should be accurate, don't fill in fields that don't exist
|
||||
- **ALWAYS return JSON, NEVER return plain text**
|
||||
|
||||
tool_descriptions:
|
||||
classify: "Classify user intent and extract entities"
|
||||
|
||||
@@ -1,55 +0,0 @@
|
||||
"""
|
||||
测试端点 - 用于测试退货 FAQ
|
||||
"""
|
||||
from fastapi import APIRouter, HTTPException
|
||||
from pydantic import BaseModel
|
||||
|
||||
from core.graph import process_message
|
||||
|
||||
router = APIRouter(prefix="/test", tags=["test"])
|
||||
|
||||
|
||||
class TestRequest(BaseModel):
|
||||
"""测试请求"""
|
||||
conversation_id: str
|
||||
user_id: str
|
||||
account_id: str
|
||||
message: str
|
||||
history: list = []
|
||||
context: dict = {}
|
||||
|
||||
|
||||
@router.post("/faq")
|
||||
async def test_faq(request: TestRequest):
|
||||
"""测试 FAQ 回答
|
||||
|
||||
简化的测试端点，用于测试退货相关 FAQ
|
||||
"""
|
||||
try:
|
||||
# 调用处理流程
|
||||
result = await process_message(
|
||||
conversation_id=request.conversation_id,
|
||||
user_id=request.user_id,
|
||||
account_id=request.account_id,
|
||||
message=request.message,
|
||||
history=request.history,
|
||||
context=request.context
|
||||
)
|
||||
|
||||
return {
|
||||
"success": True,
|
||||
"response": result.get("response"),
|
||||
"intent": result.get("intent"),
|
||||
"tool_calls": result.get("tool_calls", []),
|
||||
"step_count": result.get("step_count", 0)
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
|
||||
return {
|
||||
"success": False,
|
||||
"error": str(e),
|
||||
"response": None
|
||||
}
|
||||
@@ -350,6 +350,15 @@ async def handle_incoming_message(payload: ChatwootWebhookPayload, cookie_token:
|
||||
if response is None:
|
||||
response = "抱歉，我暂时无法处理您的请求。请稍后重试或联系人工客服。"
|
||||
|
||||
# Log the response content for debugging
|
||||
logger.info(
|
||||
"Preparing to send response to Chatwoot",
|
||||
conversation_id=conversation_id,
|
||||
response_length=len(response) if response else 0,
|
||||
response_preview=response[:200] if response else None,
|
||||
has_response=bool(response)
|
||||
)
|
||||
|
||||
# Create Chatwoot client（已在前面创建，这里不需要再次创建）
|
||||
# chatwoot 已在 try 块之前创建
|
||||
|
||||
@@ -359,6 +368,10 @@ async def handle_incoming_message(payload: ChatwootWebhookPayload, cookie_token:
|
||||
conversation_id=conversation.id,
|
||||
content=response
|
||||
)
|
||||
logger.info(
|
||||
"Response sent to Chatwoot successfully",
|
||||
conversation_id=conversation_id
|
||||
)
|
||||
|
||||
# 关闭 typing status（隐藏"正在输入..."）
|
||||
try:
|
||||
|
||||
@@ -1,337 +0,0 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="zh-CN">
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<title>B2B AI 助手 - 调试版本</title>
|
||||
<style>
|
||||
body {
|
||||
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
|
||||
max-width: 1400px;
|
||||
margin: 0 auto;
|
||||
padding: 20px;
|
||||
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
||||
min-height: 100vh;
|
||||
}
|
||||
.container {
|
||||
display: grid;
|
||||
grid-template-columns: 1fr 1fr;
|
||||
gap: 20px;
|
||||
}
|
||||
.left-panel, .right-panel {
|
||||
background: white;
|
||||
border-radius: 10px;
|
||||
padding: 20px;
|
||||
box-shadow: 0 10px 40px rgba(0,0,0,0.1);
|
||||
}
|
||||
h1 {
|
||||
color: #333;
|
||||
text-align: center;
|
||||
margin-bottom: 10px;
|
||||
grid-column: 1 / -1;
|
||||
}
|
||||
.subtitle {
|
||||
text-align: center;
|
||||
color: #666;
|
||||
margin-bottom: 30px;
|
||||
grid-column: 1 / -1;
|
||||
}
|
||||
h2 {
|
||||
color: #667eea;
|
||||
border-bottom: 2px solid #667eea;
|
||||
padding-bottom: 10px;
|
||||
margin-top: 0;
|
||||
}
|
||||
.log-container {
|
||||
background: #1e1e1e;
|
||||
color: #00ff00;
|
||||
padding: 15px;
|
||||
border-radius: 5px;
|
||||
height: 400px;
|
||||
overflow-y: auto;
|
||||
font-family: 'Courier New', monospace;
|
||||
font-size: 12px;
|
||||
}
|
||||
.log-entry {
|
||||
margin: 5px 0;
|
||||
padding: 3px 0;
|
||||
}
|
||||
.log-info { color: #00ff00; }
|
||||
.log-warn { color: #ffaa00; }
|
||||
.log-error { color: #ff4444; }
|
||||
.log-success { color: #44ff44; }
|
||||
.status-box {
|
||||
background: #f8f9fa;
|
||||
border-left: 4px solid #667eea;
|
||||
padding: 15px;
|
||||
margin: 10px 0;
|
||||
border-radius: 5px;
|
||||
}
|
||||
.status-item {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
padding: 8px 0;
|
||||
border-bottom: 1px solid #ddd;
|
||||
}
|
||||
.status-item:last-child {
|
||||
border-bottom: none;
|
||||
}
|
||||
.status-label {
|
||||
font-weight: bold;
|
||||
color: #667eea;
|
||||
}
|
||||
.status-value {
|
||||
color: #333;
|
||||
}
|
||||
.test-buttons {
|
||||
display: flex;
|
||||
gap: 10px;
|
||||
flex-wrap: wrap;
|
||||
margin: 15px 0;
|
||||
}
|
||||
.test-btn {
|
||||
background: #667eea;
|
||||
color: white;
|
||||
border: none;
|
||||
padding: 10px 20px;
|
||||
border-radius: 5px;
|
||||
cursor: pointer;
|
||||
font-size: 14px;
|
||||
transition: background 0.3s;
|
||||
}
|
||||
.test-btn:hover {
|
||||
background: #5568d3;
|
||||
}
|
||||
.test-btn:disabled {
|
||||
background: #ccc;
|
||||
cursor: not-allowed;
|
||||
}
|
||||
.clear-btn {
|
||||
background: #ff4444;
|
||||
}
|
||||
.clear-btn:hover {
|
||||
background: #dd3333;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
<h1>🤖 B2B AI 智能客服助手 - 调试面板</h1>
|
||||
<p class="subtitle">实时监控 Widget 状态和消息流</p>
|
||||
|
||||
<div class="container">
|
||||
<div class="left-panel">
|
||||
<h2>📊 连接状态</h2>
|
||||
<div class="status-box">
|
||||
<div class="status-item">
|
||||
<span class="status-label">Chatwoot 服务:</span>
|
||||
<span class="status-value" id="chatwootStatus">检查中...</span>
|
||||
</div>
|
||||
<div class="status-item">
|
||||
<span class="status-label">Widget SDK:</span>
|
||||
<span class="status-value" id="widgetStatus">未加载</span>
|
||||
</div>
|
||||
<div class="status-item">
|
||||
<span class="status-label">WebSocket:</span>
|
||||
<span class="status-value" id="wsStatus">未连接</span>
|
||||
</div>
|
||||
<div class="status-item">
|
||||
<span class="status-label">当前会话:</span>
|
||||
<span class="status-value" id="conversationId">无</span>
|
||||
</div>
|
||||
<div class="status-item">
|
||||
<span class="status-label">Website Token:</span>
|
||||
<span class="status-value" id="websiteToken">39PNCMvbMk3NvB7uaDNucc6o</span>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<h2>🧪 测试操作</h2>
|
||||
<div class="test-buttons">
|
||||
<button class="test-btn" onclick="checkChatwootService()">检查服务</button>
|
||||
<button class="test-btn" onclick="refreshWidget()">刷新 Widget</button>
|
||||
<button class="test-btn" onclick="getConversationInfo()">获取会话信息</button>
|
||||
<button class="test-btn clear-btn" onclick="clearLogs()">清除日志</button>
|
||||
</div>
|
||||
|
||||
<h2>📝 快速测试问题（点击复制到剪贴板）</h2>
|
||||
<div class="test-buttons">
|
||||
<button class="test-btn" onclick="sendTestMessage('你好')">👋 你好</button>
|
||||
<button class="test-btn" onclick="sendTestMessage('查询订单 202071324')">📦 查询订单</button>
|
||||
<button class="test-btn" onclick="sendTestMessage('如何退货？')">❓ 如何退货</button>
|
||||
<button class="test-btn" onclick="sendTestMessage('营业时间')">🕐 营业时间</button>
|
||||
</div>
|
||||
<p style="color: #666; font-size: 14px; margin-top: 10px;">
|
||||
💡 提示：点击按钮后，在右下角聊天窗口中按 Ctrl+V 粘贴并发送
|
||||
</p>
|
||||
</div>
|
||||
|
||||
<div class="right-panel">
|
||||
<h2>📋 实时日志</h2>
|
||||
<div class="log-container" id="logContainer">
|
||||
<div class="log-entry log-info">[系统] 日志系统已启动...</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<script>
|
||||
const logContainer = document.getElementById('logContainer');
|
||||
|
||||
function addLog(message, type = 'info') {
|
||||
const timestamp = new Date().toLocaleTimeString();
|
||||
const logEntry = document.createElement('div');
|
||||
logEntry.className = `log-entry log-${type}`;
|
||||
logEntry.textContent = `[${timestamp}] ${message}`;
|
||||
logContainer.appendChild(logEntry);
|
||||
logContainer.scrollTop = logContainer.scrollHeight;
|
||||
}
|
||||
|
||||
function clearLogs() {
|
||||
logContainer.innerHTML = '<div class="log-entry log-info">[系统] 日志已清除</div>';
|
||||
}
|
||||
|
||||
// 检查 Chatwoot 服务
|
||||
async function checkChatwootService() {
|
||||
addLog('检查 Chatwoot 服务状态...', 'info');
|
||||
const statusEl = document.getElementById('chatwootStatus');
|
||||
|
||||
try {
|
||||
const response = await fetch('http://localhost:3000', { mode: 'no-cors' });
|
||||
statusEl.textContent = '✅ 运行中';
|
||||
statusEl.style.color = '#28a745';
|
||||
addLog('✅ Chatwoot 服务运行正常', 'success');
|
||||
} catch (error) {
|
||||
statusEl.textContent = '❌ 无法访问';
|
||||
statusEl.style.color = '#dc3545';
|
||||
addLog(`❌ 无法连接到 Chatwoot: ${error.message}`, 'error');
|
||||
}
|
||||
}
|
||||
|
||||
// 发送测试消息 - 直接复制到剪贴板
|
||||
function sendTestMessage(message) {
|
||||
addLog(`📋 已复制消息到剪贴板: "${message}"`, 'info');
|
||||
addLog('→ 请在右下角聊天窗口中粘贴并发送', 'warn');
|
||||
|
||||
// 复制到剪贴板
|
||||
navigator.clipboard.writeText(message).then(() => {
|
||||
// 可选：自动打开 Widget
|
||||
if (window.$chatwoot && window.$chatwoot.toggle) {
|
||||
try {
|
||||
window.$chatwoot.toggle('open');
|
||||
addLog('✅ 聊天窗口已打开', 'success');
|
||||
} catch (e) {
|
||||
addLog('⚠️ 无法自动打开聊天窗口', 'warn');
|
||||
}
|
||||
}
|
||||
}).catch(err => {
|
||||
addLog(`❌ 复制失败: ${err.message}`, 'error');
|
||||
});
|
||||
}
|
||||
|
||||
// 刷新 Widget
|
||||
function refreshWidget() {
|
||||
addLog('刷新 Widget...', 'info');
|
||||
location.reload();
|
||||
}
|
||||
|
||||
// 获取会话信息
|
||||
function getConversationInfo() {
|
||||
if (window.$chatwoot) {
|
||||
try {
|
||||
const info = window.$chatwoot.getConversationInfo();
|
||||
addLog(`会话信息: ${JSON.stringify(info)}`, 'info');
|
||||
} catch (error) {
|
||||
addLog(`无法获取会话信息: ${error.message}`, 'warn');
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 页面加载时检查服务
|
||||
window.addEventListener('load', function() {
|
||||
setTimeout(checkChatwootService, 1000);
|
||||
});
|
||||
|
||||
// ==================== Chatwoot Widget 配置 ====================
|
||||
|
||||
window.chatwootSettings = {
|
||||
"position": "right",
|
||||
"type": "expanded_bubble",
|
||||
"launcherTitle": "Chat with us"
|
||||
};
|
||||
|
||||
(function(d,t) {
|
||||
var BASE_URL = "http://localhost:3000";
|
||||
var g = d.createElement(t), s = d.getElementsByTagName(t)[0];
|
||||
g.src = BASE_URL + "/packs/js/sdk.js";
|
||||
g.async = true;
|
||||
g.onload = function() {
|
||||
addLog('Chatwoot SDK 文件已加载', 'success');
|
||||
document.getElementById('widgetStatus').textContent = '✅ 已加载';
|
||||
|
||||
window.chatwootSDK.run({
|
||||
websiteToken: '39PNCMvbMk3NvB7uaDNucc6o',
|
||||
baseUrl: BASE_URL
|
||||
});
|
||||
|
||||
addLog('Website Token: 39PNCMvbMk3NvB7uaDNucc6o', 'info');
|
||||
addLog('Base URL: ' + BASE_URL, 'info');
|
||||
|
||||
// 监听 Widget 就绪事件
|
||||
setTimeout(function() {
|
||||
if (window.$chatwoot) {
|
||||
addLog('✅ Chatwoot Widget 已初始化', 'success');
|
||||
document.getElementById('wsStatus').textContent = '✅ 已连接';
|
||||
|
||||
// 设置用户信息（可选）
|
||||
window.$chatwoot.setUser('debug_user_' + Date.now(), {
|
||||
email: 'debug@example.com',
|
||||
name: 'Debug User'
|
||||
});
|
||||
|
||||
addLog('用户信息已设置', 'info');
|
||||
} else {
|
||||
addLog('❌ Widget 初始化失败', 'error');
|
||||
document.getElementById('widgetStatus').textContent = '❌ 初始化失败';
|
||||
}
|
||||
}, 2000);
|
||||
};
|
||||
|
||||
g.onerror = function() {
|
||||
addLog('❌ Chatwoot SDK 加载失败', 'error');
|
||||
document.getElementById('widgetStatus').textContent = '❌ 加载失败';
|
||||
};
|
||||
|
||||
s.parentNode.insertBefore(g, s);
|
||||
})(document, "script");
|
||||
|
||||
// 监听网络错误
|
||||
window.addEventListener('error', function(e) {
|
||||
if (e.message.includes('404')) {
|
||||
addLog(`⚠️ 404 错误: ${e.filename}`, 'warn');
|
||||
}
|
||||
});
|
||||
|
||||
// 拦截 fetch 请求
|
||||
const originalFetch = window.fetch;
|
||||
window.fetch = function(...args) {
|
||||
const url = args[0];
|
||||
|
||||
// 记录发送到 Chatwoot API 的请求
|
||||
if (typeof url === 'string' && url.includes('localhost:3000')) {
|
||||
const method = args[1]?.method || 'GET';
|
||||
addLog(`API 请求: ${method} ${url}`, 'info');
|
||||
}
|
||||
|
||||
return originalFetch.apply(this, args).then(response => {
|
||||
// 记录错误响应
|
||||
if (!response.ok && url.includes('localhost:3000')) {
|
||||
addLog(`API 响应: ${response.status} ${response.statusText} - ${url}`, 'error');
|
||||
}
|
||||
return response;
|
||||
});
|
||||
};
|
||||
|
||||
addLog('调试系统已初始化', 'success');
|
||||
</script>
|
||||
|
||||
<!-- Chatwoot Widget 会自动加载 -->
|
||||
</body>
|
||||
</html>
|
||||
@@ -1,262 +0,0 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="zh-CN">
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<title>B2B AI 助手 - 测试页面</title>
|
||||
<style>
|
||||
body {
|
||||
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
|
||||
max-width: 1200px;
|
||||
margin: 0 auto;
|
||||
padding: 20px;
|
||||
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
||||
min-height: 100vh;
|
||||
}
|
||||
.container {
|
||||
background: white;
|
||||
border-radius: 10px;
|
||||
padding: 40px;
|
||||
box-shadow: 0 10px 40px rgba(0,0,0,0.1);
|
||||
}
|
||||
h1 {
|
||||
color: #333;
|
||||
text-align: center;
|
||||
margin-bottom: 10px;
|
||||
}
|
||||
.subtitle {
|
||||
text-align: center;
|
||||
color: #666;
|
||||
margin-bottom: 30px;
|
||||
}
|
||||
.info-box {
|
||||
background: #f8f9fa;
|
||||
border-left: 4px solid #667eea;
|
||||
padding: 15px 20px;
|
||||
margin: 20px 0;
|
||||
border-radius: 5px;
|
||||
}
|
||||
.info-box h3 {
|
||||
margin-top: 0;
|
||||
color: #667eea;
|
||||
}
|
||||
.feature-list {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
|
||||
gap: 20px;
|
||||
margin: 30px 0;
|
||||
}
|
||||
.feature-card {
|
||||
background: #f8f9fa;
|
||||
padding: 20px;
|
||||
border-radius: 8px;
|
||||
text-align: center;
|
||||
}
|
||||
.feature-card h4 {
|
||||
color: #667eea;
|
||||
margin-bottom: 10px;
|
||||
}
|
||||
.test-questions {
|
||||
background: #fff3cd;
|
||||
border: 1px solid #ffc107;
|
||||
padding: 20px;
|
||||
border-radius: 5px;
|
||||
margin: 20px 0;
|
||||
}
|
||||
.test-questions h3 {
|
||||
margin-top: 0;
|
||||
color: #856404;
|
||||
}
|
||||
.question-list {
|
||||
list-style: none;
|
||||
padding: 0;
|
||||
}
|
||||
.question-list li {
|
||||
background: white;
|
||||
margin: 10px 0;
|
||||
padding: 12px 15px;
|
||||
border-radius: 5px;
|
||||
cursor: pointer;
|
||||
transition: all 0.3s;
|
||||
border: 1px solid #ddd;
|
||||
}
|
||||
.question-list li:hover {
|
||||
background: #667eea;
|
||||
color: white;
|
||||
transform: translateX(5px);
|
||||
}
|
||||
.status {
|
||||
text-align: center;
|
||||
padding: 15px;
|
||||
border-radius: 5px;
|
||||
margin: 20px 0;
|
||||
font-weight: bold;
|
||||
}
|
||||
.status.online {
|
||||
background: #d4edda;
|
||||
color: #155724;
|
||||
}
|
||||
.status.testing {
|
||||
background: #fff3cd;
|
||||
color: #856404;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
<div class="container">
|
||||
<h1>🤖 B2B AI 智能客服助手</h1>
|
||||
<p class="subtitle">基于 LangGraph + MCP 的智能客服系统</p>
|
||||
|
||||
<div class="status online">
|
||||
✅ 系统状态：所有服务运行正常
|
||||
</div>
|
||||
|
||||
<div id="tokenStatus" class="status testing" style="display: none;">
|
||||
🍪 Token 状态：检测中...
|
||||
</div>
|
||||
|
||||
<div class="info-box">
|
||||
<h3>📝 如何测试</h3>
|
||||
<ol>
|
||||
<li>点击右下角的聊天图标打开对话窗口</li>
|
||||
<li>输入你的名字开始对话</li>
|
||||
<li>尝试下面的问题测试 AI 能力</li>
|
||||
<li>查看 AI 如何理解并回答你的问题</li>
|
||||
</ol>
|
||||
</div>
|
||||
|
||||
<div class="test-questions">
|
||||
<h3>💬 推荐测试问题</h3>
|
||||
<p style="color: #666; margin-bottom: 15px;">点击以下问题直接复制到聊天窗口：</p>
|
||||
<ul class="question-list">
|
||||
<li onclick="copyQuestion(this.textContent)">🕐 你们的营业时间是什么？</li>
|
||||
<li onclick="copyQuestion(this.textContent)">📦 我的订单 202071324 怎么样了？</li>
|
||||
<li onclick="copyQuestion(this.textContent)">🔍 查询订单 202071324</li>
|
||||
<li onclick="copyQuestion(this.textContent)">📞 如何联系客服？</li>
|
||||
<li onclick="copyQuestion(this.textContent)">🛍️ 我想退换货</li>
|
||||
<li onclick="copyQuestion(this.textContent)">📦 订单 202071324 的物流信息</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
||||
<div class="feature-list">
|
||||
<div class="feature-card">
|
||||
<h4>🎯 智能意图识别</h4>
|
||||
<p>自动识别客户需求并分类</p>
|
||||
</div>
|
||||
<div class="feature-card">
|
||||
<h4>📚 知识库查询</h4>
|
||||
<p>快速检索 FAQ 和政策文档</p>
|
||||
</div>
|
||||
<div class="feature-card">
|
||||
<h4>📦 订单管理</h4>
|
||||
<p>查询订单、售后等服务</p>
|
||||
</div>
|
||||
<div class="feature-card">
|
||||
<h4>🔄 多轮对话</h4>
|
||||
<p>支持上下文理解的连续对话</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="info-box">
|
||||
<h3>🔧 技术栈</h3>
|
||||
<ul>
|
||||
<li><strong>前端：</strong>Chatwoot 客户支持平台</li>
|
||||
<li><strong>AI 引擎：</strong>LangGraph + 智谱 AI (GLM-4.5)</li>
|
||||
<li><strong>知识库：</strong>Strapi CMS + MCP</li>
|
||||
<li><strong>业务系统：</strong>Hyperf PHP API</li>
|
||||
<li><strong>缓存：</strong>Redis</li>
|
||||
<li><strong>容器：</strong>Docker Compose</li>
|
||||
</ul>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<script>
|
||||
function copyQuestion(text) {
|
||||
// 移除表情符号
|
||||
const cleanText = text.replace(/^[^\s]+\s*/, '');
|
||||
navigator.clipboard.writeText(cleanText).then(() => {
|
||||
alert('问题已复制！请粘贴到聊天窗口中发送。');
|
||||
});
|
||||
}
|
||||
|
||||
// ==================== Cookie Token 读取 ====================
|
||||
|
||||
function getCookie(name) {
|
||||
const value = `; ${document.cookie}`;
|
||||
const parts = value.split(`; ${name}=`);
|
||||
if (parts.length === 2) return parts.pop().split(";").shift();
|
||||
return null;
|
||||
}
|
||||
|
||||
function checkToken() {
|
||||
const token = getCookie('token');
|
||||
const statusDiv = document.getElementById('tokenStatus');
|
||||
|
||||
if (token) {
|
||||
statusDiv.style.display = 'block';
|
||||
statusDiv.className = 'status online';
|
||||
statusDiv.innerHTML = `✅ Token 已找到 | 长度: ${token.length} 字符 | 前缀: ${token.substring(0, 20)}...`;
|
||||
// 存储到 window 供后续使用
|
||||
window._chatwootUserToken = token;
|
||||
console.log('✅ Token 已从 Cookie 读取');
|
||||
} else {
|
||||
statusDiv.style.display = 'block';
|
||||
statusDiv.className = 'status testing';
|
||||
statusDiv.innerHTML = '⚠️ 未找到 Token | 请确保已登录商城 | Cookie 名称: token';
|
||||
console.warn('⚠️ 未找到 Token，订单查询功能可能无法使用');
|
||||
}
|
||||
}
|
||||
|
||||
// 页面加载时检查 Token
|
||||
window.addEventListener('load', function() {
|
||||
setTimeout(checkToken, 1000);
|
||||
});
|
||||
</script>
|
||||
|
||||
<!-- Chatwoot Widget - 官方集成方式 -->
|
||||
<script>
|
||||
(function(d,t) {
|
||||
var BASE_URL="http://localhost:3000";
|
||||
var g=d.createElement(t),s=d.getElementsByTagName(t)[0];
|
||||
g.src=BASE_URL+"/packs/js/sdk.js";
|
||||
g.async = true;
|
||||
s.parentNode.insertBefore(g,s);
|
||||
g.onload=function(){
|
||||
window.chatwootSDK.run({
|
||||
websiteToken: '39PNCMvbMk3NvB7uaDNucc6o',
|
||||
baseUrl: BASE_URL,
|
||||
locale: 'zh_CN',
|
||||
userIdentifier: getCookie('token') || 'web_user_' + Date.now()
|
||||
});
|
||||
|
||||
const userToken = getCookie('token');
|
||||
console.log('✅ Chatwoot Widget 已加载 (官方集成方式)');
|
||||
console.log('Base URL:', BASE_URL);
|
||||
console.log('Website Token: 39PNCMvbMk3NvB7uaDNucc6o');
|
||||
console.log('Locale: zh_CN');
|
||||
console.log('User Identifier:', userToken || 'web_user_' + Date.now());
|
||||
|
||||
// 设置用户信息（可选）
|
||||
setTimeout(function() {
|
||||
const token = getCookie('token');
|
||||
if (token && window.$chatwoot) {
|
||||
window.$chatwoot.setUser('user_' + Date.now(), {
|
||||
email: 'user@example.com',
|
||||
name: 'Website User',
|
||||
phone_number: ''
|
||||
});
|
||||
|
||||
console.log('✅ 用户信息已设置');
|
||||
} else if (!token) {
|
||||
console.warn('⚠️ 未找到 Token');
|
||||
}
|
||||
}, 2000);
|
||||
}
|
||||
g.onerror=function(){
|
||||
console.error('❌ Chatwoot SDK 加载失败');
|
||||
console.error('请确保 Chatwoot 运行在: ' + BASE_URL);
|
||||
}
|
||||
})(document,"script");
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
@@ -1,425 +0,0 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="zh-CN">
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<title>会话 ID 检查工具</title>
|
||||
<style>
|
||||
body {
|
||||
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
|
||||
max-width: 800px;
|
||||
margin: 0 auto;
|
||||
padding: 20px;
|
||||
background: #f5f5f5;
|
||||
}
|
||||
.container {
|
||||
background: white;
|
||||
border-radius: 10px;
|
||||
padding: 30px;
|
||||
box-shadow: 0 2px 10px rgba(0,0,0,0.1);
|
||||
}
|
||||
h1 {
|
||||
color: #333;
|
||||
text-align: center;
|
||||
}
|
||||
.info-box {
|
||||
background: #e7f3ff;
|
||||
border-left: 4px solid #2196F3;
|
||||
padding: 15px 20px;
|
||||
margin: 20px 0;
|
||||
border-radius: 5px;
|
||||
}
|
||||
.info-box h3 {
|
||||
margin-top: 0;
|
||||
color: #2196F3;
|
||||
}
|
||||
.data-display {
|
||||
background: #f8f9fa;
|
||||
border: 1px solid #dee2e6;
|
||||
border-radius: 5px;
|
||||
padding: 15px;
|
||||
margin: 15px 0;
|
||||
font-family: 'Courier New', monospace;
|
||||
font-size: 14px;
|
||||
}
|
||||
.data-label {
|
||||
font-weight: bold;
|
||||
color: #495057;
|
||||
margin-bottom: 10px;
|
||||
}
|
||||
.data-value {
|
||||
color: #212529;
|
||||
background: white;
|
||||
padding: 10px;
|
||||
border-radius: 3px;
|
||||
word-break: break-all;
|
||||
}
|
||||
button {
|
||||
background: #2196F3;
|
||||
color: white;
|
||||
border: none;
|
||||
padding: 10px 20px;
|
||||
border-radius: 5px;
|
||||
cursor: pointer;
|
||||
font-size: 14px;
|
||||
margin: 5px;
|
||||
}
|
||||
button:hover {
|
||||
background: #0b7dda;
|
||||
}
|
||||
button.danger {
|
||||
background: #dc3545;
|
||||
}
|
||||
button.danger:hover {
|
||||
background: #c82333;
|
||||
}
|
||||
.instructions {
|
||||
background: #fff3cd;
|
||||
border-left: 4px solid #ffc107;
|
||||
padding: 15px 20px;
|
||||
margin: 20px 0;
|
||||
border-radius: 5px;
|
||||
}
|
||||
.instructions ol {
|
||||
margin: 10px 0;
|
||||
padding-left: 20px;
|
||||
}
|
||||
.instructions li {
|
||||
margin: 8px 0;
|
||||
line-height: 1.6;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
<div class="container">
|
||||
<h1>🔍 Chatwoot 会话 ID 检查工具</h1>
|
||||
|
||||
<div class="instructions">
|
||||
<h3>📝 使用说明</h3>
|
||||
<ol>
|
||||
<li>打开浏览器开发者工具（按 F12）</li>
|
||||
<li>切换到 Console（控制台）标签</li>
|
||||
<li>点击下面的"显示会话信息"按钮</li>
|
||||
<li>在 Console 中查看当前的 conversation_id</li>
|
||||
<li>将这个 ID 与 Agent 日志中的 conversation_id 对比</li>
|
||||
</ol>
|
||||
</div>
|
||||
|
||||
<div class="info-box">
|
||||
<h3>🎯 操作按钮</h3>
|
||||
<button onclick="showConversationInfo()">显示会话信息</button>
|
||||
<button onclick="checkWidgetStatus()">检查 Widget 状态</button>
|
||||
<button onclick="checkToken()">检查 Token</button>
|
||||
<button onclick="testOrderAPI()">测试订单 API</button>
|
||||
<button onclick="clearLocalStorage()" class="danger">清除本地存储（重新开始）</button>
|
||||
</div>
|
||||
|
||||
<div class="info-box">
|
||||
<h3>📊 信息显示</h3>
|
||||
<div class="data-display">
|
||||
<div class="data-label">Widget SDK 状态:</div>
|
||||
<div class="data-value" id="widgetStatus">未初始化</div>
|
||||
</div>
|
||||
<div class="data-display">
|
||||
<div class="data-label">当前会话 ID:</div>
|
||||
<div class="data-value" id="conversationId">未知</div>
|
||||
</div>
|
||||
<div class="data-display">
|
||||
<div class="data-label">Token 状态:</div>
|
||||
<div class="data-value" id="tokenStatus">未检查</div>
|
||||
</div>
|
||||
<div class="data-display">
|
||||
<div class="data-label">订单 API 测试结果:</div>
|
||||
<div class="data-value" id="orderApiResult">未测试</div>
|
||||
</div>
|
||||
<div class="data-display">
|
||||
<div class="data-label">本地存储数据:</div>
|
||||
<div class="data-value" id="localStorageData">无</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="instructions">
|
||||
<h3>💡 问题排查</h3>
|
||||
<p><strong>如果看不到 AI 回复：</strong></p>
|
||||
<ol>
|
||||
<li>点击"清除本地存储"按钮</li>
|
||||
<li>刷新页面（Ctrl+Shift+R）</li>
|
||||
<li>在右下角聊天窗口重新发送消息</li>
|
||||
<li>查看 Agent 日志： <code>docker logs ai_agent --tail 50</code></li>
|
||||
<li>对比 Console 中的 conversation_id 与日志中的是否一致</li>
|
||||
</ol>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<script>
|
||||
// 获取 Cookie 中的 token
|
||||
function getCookie(name) {
|
||||
const value = `; ${document.cookie}`;
|
||||
const parts = value.split(`; ${name}=`);
|
||||
if (parts.length === 2) return parts.pop().split(";").shift();
|
||||
return null;
|
||||
}
|
||||
|
||||
// 检查 Token
|
||||
function checkToken() {
|
||||
console.log('======================================');
|
||||
console.log('Token 检查');
|
||||
console.log('======================================');
|
||||
|
||||
const token = getCookie('token');
|
||||
const tokenStatusDiv = document.getElementById('tokenStatus');
|
||||
|
||||
if (token) {
|
||||
console.log('✅ Token 已找到');
|
||||
console.log('Token 长度:', token.length);
|
||||
console.log('Token 前缀:', token.substring(0, 50) + '...');
|
||||
tokenStatusDiv.textContent = `✅ 已找到 | 长度: ${token.length} | 前缀: ${token.substring(0, 30)}...`;
|
||||
tokenStatusDiv.style.color = '#28a745';
|
||||
} else {
|
||||
console.log('❌ 未找到 Token');
|
||||
console.log('Cookie 名称: token');
|
||||
tokenStatusDiv.textContent = '❌ 未找到 | Cookie 名称: token';
|
||||
tokenStatusDiv.style.color = '#dc3545';
|
||||
}
|
||||
|
||||
console.log('所有 Cookie:', document.cookie);
|
||||
console.log('======================================');
|
||||
}
|
||||
|
||||
// 测试订单 API
|
||||
async function testOrderAPI() {
|
||||
console.log('======================================');
|
||||
console.log('测试订单 API');
|
||||
console.log('======================================');
|
||||
|
||||
const token = getCookie('token');
|
||||
const resultDiv = document.getElementById('orderApiResult');
|
||||
|
||||
if (!token) {
|
||||
console.error('❌ 未找到 Token，无法调用 API');
|
||||
resultDiv.textContent = '❌ 未找到 Token';
|
||||
resultDiv.style.color = '#dc3545';
|
||||
alert('❌ 未找到 Token，请先确保已登录商城');
|
||||
return;
|
||||
}
|
||||
|
||||
const orderId = '202071324';
|
||||
const apiUrl = `https://apicn.qa1.gaia888.com/mall/api/order/show?orderId=${orderId}`;
|
||||
|
||||
console.log('API URL:', apiUrl);
|
||||
console.log('Authorization:', `Bearer ${token.substring(0, 30)}...`);
|
||||
|
||||
resultDiv.textContent = '🔄 请求中...';
|
||||
resultDiv.style.color = '#ffc107';
|
||||
|
||||
try {
|
||||
const response = await fetch(apiUrl, {
|
||||
method: 'GET',
|
||||
headers: {
|
||||
'accept': 'application/json, text/plain, */*',
|
||||
'accept-language': 'zh-CN,zh;q=0.9',
|
||||
'authorization': `Bearer ${token}`,
|
||||
'currency-code': 'EUR',
|
||||
'device-type': 'pc',
|
||||
'language-id': '1',
|
||||
'origin': 'https://www.qa1.gaia888.com',
|
||||
'referer': 'https://www.qa1.gaia888.com/',
|
||||
'sec-fetch-dest': 'empty',
|
||||
'sec-fetch-mode': 'cors',
|
||||
'sec-fetch-site': 'same-site',
|
||||
'source': 'us.qa1.gaia888.com',
|
||||
'tenant-id': '2'
|
||||
}
|
||||
});
|
||||
|
||||
console.log('响应状态:', response.status);
|
||||
console.log('响应头:', Object.fromEntries(response.headers.entries()));
|
||||
|
||||
if (response.ok) {
|
||||
const data = await response.json();
|
||||
console.log('✅ API 调用成功');
|
||||
console.log('响应数据:', data);
|
||||
|
||||
resultDiv.textContent = `✅ 成功 (HTTP ${response.status}) | 订单 ${orderId}`;
|
||||
resultDiv.style.color = '#28a745';
|
||||
|
||||
alert(`✅ 订单 API 调用成功！\n\n订单 ID: ${orderId}\n状态码: ${response.status}\n\n详细数据请查看控制台`);
|
||||
} else {
|
||||
const errorText = await response.text();
|
||||
console.error('❌ API 调用失败');
|
||||
console.error('状态码:', response.status);
|
||||
console.error('响应内容:', errorText);
|
||||
|
||||
resultDiv.textContent = `❌ 失败 (HTTP ${response.status})`;
|
||||
resultDiv.style.color = '#dc3545';
|
||||
|
||||
alert(`❌ 订单 API 调用失败\n\n状态码: ${response.status}\n错误: ${errorText}`);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('❌ 网络错误:', error);
|
||||
resultDiv.textContent = `❌ 网络错误: ${error.message}`;
|
||||
resultDiv.style.color = '#dc3545';
|
||||
alert(`❌ 网络错误\n\n${error.message}`);
|
||||
}
|
||||
|
||||
console.log('======================================');
|
||||
}
|
||||
|
||||
function showConversationInfo() {
|
||||
console.log('======================================');
|
||||
console.log('Chatwoot Widget 会话信息');
|
||||
console.log('======================================');
|
||||
|
||||
if (window.$chatwoot) {
|
||||
try {
|
||||
// 尝试获取会话信息
|
||||
const info = window.$chatwoot.getConversationInfo();
|
||||
console.log('✅ 会话信息:', info);
|
||||
document.getElementById('conversationId').textContent =
|
||||
info && info.conversationId ? info.conversationId : '无法获取';
|
||||
} catch (e) {
|
||||
console.log('⚠️ 无法获取会话信息:', e.message);
|
||||
document.getElementById('conversationId').textContent = '无法获取';
|
||||
}
|
||||
} else {
|
||||
console.log('❌ Widget 未初始化');
|
||||
document.getElementById('conversationId').textContent = 'Widget 未初始化';
|
||||
}
|
||||
|
||||
// 显示本地存储
|
||||
const storage = {};
|
||||
for (let i = 0; i < localStorage.length; i++) {
|
||||
const key = localStorage.key(i);
|
||||
if (key.includes('chatwoot') || key.includes('widget')) {
|
||||
storage[key] = localStorage.getItem(key);
|
||||
}
|
||||
}
|
||||
console.log('本地存储 (Chatwoot 相关):', storage);
|
||||
document.getElementById('localStorageData').textContent =
|
||||
Object.keys(storage).length > 0 ? JSON.stringify(storage, null, 2) : '无';
|
||||
|
||||
console.log('======================================');
|
||||
}
|
||||
|
||||
function checkWidgetStatus() {
|
||||
console.log('======================================');
|
||||
console.log('Widget 状态检查');
|
||||
console.log('======================================');
|
||||
console.log('window.$chatwoot:', window.$chatwoot);
|
||||
console.log('window.chatwootSDK:', window.chatwootSDK);
|
||||
|
||||
if (window.$chatwoot) {
|
||||
console.log('✅ Widget 已加载');
|
||||
console.log('可用方法:', Object.getOwnPropertyNames(window.$chatwoot));
|
||||
document.getElementById('widgetStatus').textContent = '✅ 已加载';
|
||||
document.getElementById('widgetStatus').style.color = '#28a745';
|
||||
} else {
|
||||
console.log('❌ Widget 未加载');
|
||||
document.getElementById('widgetStatus').textContent = '❌ 未加载';
|
||||
document.getElementById('widgetStatus').style.color = '#dc3545';
|
||||
}
|
||||
|
||||
console.log('======================================');
|
||||
}
|
||||
|
||||
function clearLocalStorage() {
|
||||
if (confirm('确定要清除所有本地存储吗？这将重置会话。')) {
|
||||
// 清除 Chatwoot 相关的本地存储
|
||||
const keysToRemove = [];
|
||||
for (let i = 0; i < localStorage.length; i++) {
|
||||
const key = localStorage.key(i);
|
||||
if (key.includes('chatwoot') || key.includes('widget')) {
|
||||
keysToRemove.push(key);
|
||||
}
|
||||
}
|
||||
|
||||
keysToRemove.forEach(key => localStorage.removeItem(key));
|
||||
|
||||
console.log(`✅ 已清除 ${keysToRemove.length} 个本地存储项`);
|
||||
console.log('清除的键:', keysToRemove);
|
||||
|
||||
alert(`✅ 已清除 ${keysToRemove.length} 个本地存储项\n\n页面将重新加载以创建新的会话。`);
|
||||
location.reload();
|
||||
}
|
||||
}
|
||||
|
||||
// 页面加载时显示本地存储和检查 Token
|
||||
window.addEventListener('load', function() {
|
||||
// 显示本地存储
|
||||
const storage = {};
|
||||
for (let i = 0; i < localStorage.length; i++) {
|
||||
const key = localStorage.key(i);
|
||||
if (key.includes('chatwoot') || key.includes('widget')) {
|
||||
storage[key] = localStorage.getItem(key);
|
||||
}
|
||||
}
|
||||
if (Object.keys(storage).length > 0) {
|
||||
document.getElementById('localStorageData').textContent = JSON.stringify(storage, null, 2);
|
||||
}
|
||||
|
||||
// 自动检查 Token
|
||||
setTimeout(checkToken, 500);
|
||||
});
|
||||
</script>
|
||||
|
||||
<!-- Chatwoot Widget -->
|
||||
<script>
|
||||
(function(d,t) {
|
||||
var BASE_URL="http://localhost:3000";
|
||||
var g=d.createElement(t),s=d.getElementsByTagName(t)[0];
|
||||
g.src=BASE_URL+"/packs/js/sdk.js";
|
||||
g.async = true;
|
||||
s.parentNode.insertBefore(g,s);
|
||||
g.onload=function(){
|
||||
// 获取 token 函数
|
||||
function getCookie(name) {
|
||||
const value = `; ${document.cookie}`;
|
||||
const parts = value.split(`; ${name}=`);
|
||||
if (parts.length === 2) return parts.pop().split(";").shift();
|
||||
return null;
|
||||
}
|
||||
|
||||
const token = getCookie('token');
|
||||
|
||||
// 初始化配置
|
||||
const widgetConfig = {
|
||||
websiteToken: '39PNCMvbMk3NvB7uaDNucc6o',
|
||||
baseUrl: BASE_URL,
|
||||
locale: 'zh_CN',
|
||||
userIdentifier: token || 'web_user_' + Date.now()
|
||||
};
|
||||
|
||||
window.chatwootSDK.run(widgetConfig);
|
||||
|
||||
// 等待 widget 加载完成后设置用户属性
|
||||
setTimeout(() => {
|
||||
if (token && window.chatwootSDK.setUser) {
|
||||
window.chatwootSDK.setUser(
|
||||
token || 'web_user_' + Date.now(),
|
||||
{
|
||||
jwt_token: token,
|
||||
mall_token: token
|
||||
}
|
||||
);
|
||||
console.log('✅ 已通过 setUser 设置用户属性');
|
||||
} else if (token && window.$chatwoot) {
|
||||
// 备用方案：使用 $chatwoot.setCustomAttributes
|
||||
window.$chatwoot.setCustomAttributes({
|
||||
jwt_token: token,
|
||||
mall_token: token
|
||||
});
|
||||
console.log('✅ 已通过 $chatwoot.setCustomAttributes 设置用户属性');
|
||||
}
|
||||
}, 1000);
|
||||
|
||||
console.log('✅ Chatwoot Widget 已加载');
|
||||
console.log('Locale: zh_CN');
|
||||
console.log('User Identifier:', token || 'web_user_' + Date.now());
|
||||
|
||||
document.getElementById('widgetStatus').textContent = '✅ 已加载';
|
||||
document.getElementById('widgetStatus').style.color = '#28a745';
|
||||
}
|
||||
})(document,"script");
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
@@ -1,261 +0,0 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="zh-CN">
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<title>B2B AI 助手 - 简化测试</title>
|
||||
<style>
|
||||
body {
|
||||
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
|
||||
max-width: 1200px;
|
||||
margin: 0 auto;
|
||||
padding: 20px;
|
||||
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
||||
min-height: 100vh;
|
||||
}
|
||||
.container {
|
||||
background: white;
|
||||
border-radius: 10px;
|
||||
padding: 40px;
|
||||
box-shadow: 0 10px 40px rgba(0,0,0,0.1);
|
||||
}
|
||||
h1 {
|
||||
color: #333;
|
||||
text-align: center;
|
||||
margin-bottom: 10px;
|
||||
}
|
||||
.subtitle {
|
||||
text-align: center;
|
||||
color: #666;
|
||||
margin-bottom: 30px;
|
||||
}
|
||||
.info-box {
|
||||
background: #f8f9fa;
|
||||
border-left: 4px solid #667eea;
|
||||
padding: 15px 20px;
|
||||
margin: 20px 0;
|
||||
border-radius: 5px;
|
||||
}
|
||||
.info-box h3 {
|
||||
margin-top: 0;
|
||||
color: #667eea;
|
||||
}
|
||||
.test-questions {
|
||||
background: #fff3cd;
|
||||
border: 1px solid #ffc107;
|
||||
padding: 20px;
|
||||
border-radius: 5px;
|
||||
margin: 20px 0;
|
||||
}
|
||||
.test-questions h3 {
|
||||
margin-top: 0;
|
||||
color: #856404;
|
||||
}
|
||||
.question-list {
|
||||
list-style: none;
|
||||
padding: 0;
|
||||
}
|
||||
.question-list li {
|
||||
background: white;
|
||||
margin: 10px 0;
|
||||
padding: 12px 15px;
|
||||
border-radius: 5px;
|
||||
cursor: pointer;
|
||||
transition: all 0.3s;
|
||||
border: 1px solid #ddd;
|
||||
}
|
||||
.question-list li:hover {
|
||||
background: #667eea;
|
||||
color: white;
|
||||
transform: translateX(5px);
|
||||
}
|
||||
.status {
|
||||
text-align: center;
|
||||
padding: 15px;
|
||||
border-radius: 5px;
|
||||
margin: 20px 0;
|
||||
font-weight: bold;
|
||||
}
|
||||
.status.online {
|
||||
background: #d4edda;
|
||||
color: #155724;
|
||||
}
|
||||
.instructions {
|
||||
background: #e7f3ff;
|
||||
border-left: 4px solid #2196F3;
|
||||
padding: 15px 20px;
|
||||
margin: 20px 0;
|
||||
border-radius: 5px;
|
||||
}
|
||||
.instructions ol {
|
||||
margin: 10px 0;
|
||||
padding-left: 20px;
|
||||
}
|
||||
.instructions li {
|
||||
margin: 8px 0;
|
||||
line-height: 1.6;
|
||||
}
|
||||
.feature-list {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
|
||||
gap: 20px;
|
||||
margin: 30px 0;
|
||||
}
|
||||
.feature-card {
|
||||
background: #f8f9fa;
|
||||
padding: 20px;
|
||||
border-radius: 8px;
|
||||
text-align: center;
|
||||
}
|
||||
.feature-card h4 {
|
||||
color: #667eea;
|
||||
margin-bottom: 10px;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
<div class="container">
|
||||
<h1>🤖 B2B AI 智能客服助手</h1>
|
||||
<p class="subtitle">简化测试页面 - Chatwoot 官方集成方式</p>
|
||||
|
||||
<div class="status online">
|
||||
✅ 系统状态：使用官方标准集成
|
||||
</div>
|
||||
|
||||
<div class="instructions">
|
||||
<h3>📝 使用说明</h3>
|
||||
<ol>
|
||||
<li><strong>点击右下角的聊天图标</strong>打开 Chatwoot 对话窗口</li>
|
||||
<li><strong>输入消息</strong>开始与 AI 对话</li>
|
||||
<li><strong>或者</strong>点击下面的测试问题，复制后在聊天窗口粘贴发送</li>
|
||||
<li><strong>查看 AI 如何理解和回答</strong>你的问题</li>
|
||||
</ol>
|
||||
</div>
|
||||
|
||||
<div class="test-questions">
|
||||
<h3>💬 推荐测试问题</h3>
|
||||
<p style="color: #666; margin-bottom: 15px;">点击以下问题复制到剪贴板，然后在聊天窗口粘贴（Ctrl+V）并发送：</p>
|
||||
<ul class="question-list">
|
||||
<li onclick="copyQuestion(this.textContent)">🕐 你们的营业时间是什么？</li>
|
||||
<li onclick="copyQuestion(this.textContent)">📦 我的订单 202071324 怎么样了？</li>
|
||||
<li onclick="copyQuestion(this.textContent)">🔍 查询订单 202071324</li>
|
||||
<li onclick="copyQuestion(this.textContent)">📞 如何联系客服？</li>
|
||||
<li onclick="copyQuestion(this.textContent)">🛍️ 我想退换货</li>
|
||||
<li onclick="copyQuestion(this.textContent)">📦 订单 202071324 的物流信息</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
||||
<div class="info-box">
|
||||
<h3>🔧 技术栈</h3>
|
||||
<ul>
|
||||
<li><strong>前端：</strong>Chatwoot 客户支持平台（官方 Widget SDK）</li>
|
||||
<li><strong>AI 引擎：</strong>LangGraph + 智谱 AI (GLM-4.5)</li>
|
||||
<li><strong>知识库：</strong>Strapi CMS + MCP</li>
|
||||
<li><strong>业务系统：</strong>Hyperf PHP API</li>
|
||||
<li><strong>缓存：</strong>Redis</li>
|
||||
<li><strong>容器：</strong>Docker Compose</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
||||
<div class="feature-list">
|
||||
<div class="feature-card">
|
||||
<h4>🎯 智能意图识别</h4>
|
||||
<p>自动识别客户需求并分类</p>
|
||||
</div>
|
||||
<div class="feature-card">
|
||||
<h4>📚 知识库查询</h4>
|
||||
<p>快速检索 FAQ 和政策文档</p>
|
||||
</div>
|
||||
<div class="feature-card">
|
||||
<h4>📦 订单管理</h4>
|
||||
<p>查询订单、售后等服务</p>
|
||||
</div>
|
||||
<div class="feature-card">
|
||||
<h4>🔄 多轮对话</h4>
|
||||
<p>支持上下文理解的连续对话</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="info-box">
|
||||
<h3>📊 系统信息</h3>
|
||||
<p><strong>Chatwoot 服务：</strong>http://localhost:3000</p>
|
||||
<p><strong>Website Token：</strong>39PNCMvbMk3NvB7uaDNucc6o</p>
|
||||
<p><strong>集成方式：</strong>Chatwoot 官方 SDK</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<script>
|
||||
function copyQuestion(text) {
|
||||
// 移除表情符号
|
||||
const cleanText = text.replace(/^[^\s]+\s*/, '');
|
||||
navigator.clipboard.writeText(cleanText).then(() => {
|
||||
alert('✅ 问题已复制到剪贴板！\n\n请在聊天窗口中按 Ctrl+V 粘贴并发送。');
|
||||
}).catch(err => {
|
||||
console.error('复制失败:', err);
|
||||
alert('❌ 复制失败，请手动复制问题文本。');
|
||||
});
|
||||
}
|
||||
|
||||
// ==================== Cookie Token 读取 ====================
|
||||
|
||||
function getCookie(name) {
|
||||
const value = `; ${document.cookie}`;
|
||||
const parts = value.split(`; ${name}=`);
|
||||
if (parts.length === 2) return parts.pop().split(";").shift();
|
||||
return null;
|
||||
}
|
||||
|
||||
// 页面加载时检查 Token
|
||||
window.addEventListener('load', function() {
|
||||
const token = getCookie('token');
|
||||
if (token) {
|
||||
console.log('✅ Token 已从 Cookie 读取');
|
||||
console.log('Token 长度:', token.length);
|
||||
} else {
|
||||
console.warn('⚠️ 未找到 Token，订单查询功能可能无法使用');
|
||||
}
|
||||
});
|
||||
</script>
|
||||
|
||||
<!-- Chatwoot Widget - 官方集成方式 -->
|
||||
<script>
|
||||
(function(d,t) {
|
||||
var BASE_URL="http://localhost:3000";
|
||||
var g=d.createElement(t),s=d.getElementsByTagName(t)[0];
|
||||
g.src=BASE_URL+"/packs/js/sdk.js";
|
||||
g.async = true;
|
||||
s.parentNode.insertBefore(g,s);
|
||||
g.onload=function(){
|
||||
window.chatwootSDK.run({
|
||||
websiteToken: '39PNCMvbMk3NvB7uaDNucc6o',
|
||||
baseUrl: BASE_URL
|
||||
});
|
||||
|
||||
console.log('✅ Chatwoot Widget 已加载 (官方集成方式)');
|
||||
console.log('Base URL:', BASE_URL);
|
||||
console.log('Website Token: 39PNCMvbMk3NvB7uaDNucc6o');
|
||||
|
||||
// 设置用户信息（可选）
|
||||
setTimeout(function() {
|
||||
const token = getCookie('token');
|
||||
if (token && window.$chatwoot) {
|
||||
window.$chatwoot.setUser('user_' + Date.now(), {
|
||||
email: 'user@example.com',
|
||||
name: 'Website User',
|
||||
phone_number: ''
|
||||
});
|
||||
|
||||
console.log('✅ 用户信息已设置');
|
||||
} else if (!token) {
|
||||
console.warn('⚠️ 未找到 Token');
|
||||
}
|
||||
}, 2000);
|
||||
}
|
||||
g.onerror=function(){
|
||||
console.error('❌ Chatwoot SDK 加载失败');
|
||||
console.error('请确保 Chatwoot 运行在: ' + BASE_URL);
|
||||
}
|
||||
})(document,"script");
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
@@ -494,7 +494,7 @@ async def get_mall_order_list(
|
||||
date_added: Optional[str] = None,
|
||||
date_end: Optional[str] = None,
|
||||
no: Optional[str] = None,
|
||||
status: Optional[int] = None,
|
||||
status: int = 10000,
|
||||
is_drop_shopping: int = 0
|
||||
) -> dict:
|
||||
"""Query order list from Mall API with filters
|
||||
@@ -517,7 +517,7 @@ async def get_mall_order_list(
|
||||
date_added: 开始日期，格式 YYYY-MM-DD (default: None)
|
||||
date_end: 结束日期，格式 YYYY-MM-DD (default: None)
|
||||
no: 订单号筛选 (default: None)
|
||||
status: 订单状态筛选 (default: None, None表示全部状态)
|
||||
status: 订单状态筛选 (default: 10000, 10000表示全部状态)
|
||||
is_drop_shopping: 是否代发货 (default: 0)
|
||||
|
||||
Returns:
|
||||
@@ -673,9 +673,14 @@ if __name__ == "__main__":
|
||||
|
||||
tool_obj = _tools[tool_name]
|
||||
|
||||
# Call the tool with arguments
|
||||
# Filter arguments to only include parameters expected by the tool
|
||||
# Get parameter names from tool's parameters schema
|
||||
tool_params = tool_obj.parameters.get('properties', {})
|
||||
filtered_args = {k: v for k, v in arguments.items() if k in tool_params}
|
||||
|
||||
# Call the tool with filtered arguments
|
||||
# FastMCP FunctionTool.run() takes a dict of arguments
|
||||
tool_result = await tool_obj.run(arguments)
|
||||
tool_result = await tool_obj.run(filtered_args)
|
||||
|
||||
# Extract content from ToolResult
|
||||
# ToolResult.content is a list of TextContent objects with a 'text' attribute
|
||||
|
||||
@@ -249,11 +249,8 @@ async def get_categories() -> dict:
|
||||
@mcp.tool()
|
||||
async def search_products(
|
||||
keyword: str,
|
||||
page_size: int = 60,
|
||||
page: int = 1,
|
||||
user_token: str = None,
|
||||
user_id: str = None,
|
||||
account_id: str = None
|
||||
page_size: int = 5,
|
||||
page: int = 1
|
||||
) -> dict:
|
||||
"""Search products from Mall API
|
||||
|
||||
@@ -261,46 +258,33 @@ async def search_products(
|
||||
|
||||
Args:
|
||||
keyword: 搜索关键词（商品名称、编号等）
|
||||
page_size: 每页数量 (default: 60, max 100)
|
||||
page_size: 每页数量 (default: 5, max 100)
|
||||
page: 页码 (default: 1)
|
||||
user_token: 用户 JWT token（必需，用于 Mall API 认证）
|
||||
user_id: 用户 ID（自动注入）
|
||||
account_id: 账户 ID（自动注入）
|
||||
|
||||
Returns:
|
||||
商品列表，包含 SPU 信息、商品图片、价格等
|
||||
Product list including SPU ID, name, image, price, etc.
|
||||
"""
|
||||
if not user_token:
|
||||
return {
|
||||
"success": False,
|
||||
"error": "用户未登录，请先登录账户以搜索商品",
|
||||
"products": [],
|
||||
"total": 0,
|
||||
"require_login": True
|
||||
}
|
||||
|
||||
try:
|
||||
from shared.mall_client import MallClient
|
||||
import logging
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
logger.info(
|
||||
f"search_products called with keyword={keyword}, "
|
||||
f"user_token_prefix={user_token[:20] if user_token else None}..."
|
||||
)
|
||||
print(f"[DEBUG] search_products called: keyword={keyword}, user_token={user_token[:20] if user_token else None}...")
|
||||
logger.info(f"search_products called with keyword={keyword}")
|
||||
print(f"[DEBUG] search_products called: keyword={keyword}")
|
||||
|
||||
# 使用用户 token 创建 Mall 客户端
|
||||
# 创建 Mall 客户端（无需 token）
|
||||
mall = MallClient(
|
||||
api_url=settings.mall_api_url,
|
||||
api_token=user_token,
|
||||
api_token=None, # 不需要 token
|
||||
tenant_id=settings.mall_tenant_id,
|
||||
currency_code=settings.mall_currency_code,
|
||||
language_id=settings.mall_language_id,
|
||||
source=settings.mall_source
|
||||
)
|
||||
|
||||
print(f"[DEBUG] Calling Mall API: keyword={keyword}, page_size={page_size}, page={page}")
|
||||
|
||||
result = await mall.search_spu_products(
|
||||
keyword=keyword,
|
||||
page_size=page_size,
|
||||
@@ -310,9 +294,10 @@ async def search_products(
|
||||
logger.info(
|
||||
f"Mall API returned: result_type={type(result).__name__}, "
|
||||
f"result_keys={list(result.keys()) if isinstance(result, dict) else 'not a dict'}, "
|
||||
f"result={result}"
|
||||
f"total={result.get('total', 'N/A') if isinstance(result, dict) else 'N/A'}, "
|
||||
f"data_length={len(result.get('data', {}).get('data', [])) if isinstance(result, dict) and isinstance(result.get('data'), dict) else 'N/A'}"
|
||||
)
|
||||
print(f"[DEBUG] Mall API returned: {result}")
|
||||
print(f"[DEBUG] Mall API returned: total={result.get('total', 'N/A')}, data_keys={list(result.get('data', {}).keys()) if isinstance(result.get('data'), dict) else 'N/A'}")
|
||||
|
||||
# 解析返回结果
|
||||
# Mall API 返回结构: {"total": X, "data": {"data": [...], ...}}
|
||||
@@ -328,12 +313,21 @@ async def search_products(
|
||||
formatted_products.append({
|
||||
"spu_id": product.get("spuId"),
|
||||
"spu_sn": product.get("spuSn"),
|
||||
"product_name": product.get("productName"),
|
||||
"product_image": product.get("productImage"),
|
||||
"product_name": product.get("spuName"), # 修正字段名
|
||||
"product_image": product.get("masterImage"), # 修正字段名
|
||||
"price": product.get("price"),
|
||||
"special_price": product.get("specialPrice"),
|
||||
"stock": product.get("stock"),
|
||||
"sales_count": product.get("salesCount", 0)
|
||||
"stock": product.get("stockDescribe"), # 修正字段名
|
||||
"sales_count": product.get("salesCount", 0),
|
||||
# 额外有用字段
|
||||
"href": product.get("href"),
|
||||
"spu_type": product.get("spuType"),
|
||||
"spu_type_name": product.get("spuTypeName"),
|
||||
"min_price": product.get("minPrice"),
|
||||
"max_price": product.get("maxPrice"),
|
||||
"price_with_currency": product.get("priceWithCurrency"),
|
||||
"mark_price": product.get("markPrice"),
|
||||
"skus_count": len(product.get("skus", []))
|
||||
})
|
||||
|
||||
return {
|
||||
@@ -382,18 +376,32 @@ if __name__ == "__main__":
|
||||
# Get arguments from request body
|
||||
arguments = await request.json()
|
||||
|
||||
print(f"[DEBUG HTTP] Tool: {tool_name}, Args: {arguments}")
|
||||
|
||||
# Get tool function from registry
|
||||
if tool_name not in _tools:
|
||||
print(f"[ERROR] Tool '{tool_name}' not found in registry")
|
||||
return JSONResponse({
|
||||
"success": False,
|
||||
"error": f"Tool '{tool_name}' not found"
|
||||
}, status_code=404)
|
||||
|
||||
tool_obj = _tools[tool_name]
|
||||
print(f"[DEBUG HTTP] Tool object: {tool_obj}, type: {type(tool_obj)}")
|
||||
|
||||
# Call the tool with arguments
|
||||
# Filter arguments to only include parameters expected by the tool
|
||||
# Get parameter names from tool's parameters schema
|
||||
tool_params = tool_obj.parameters.get('properties', {})
|
||||
filtered_args = {k: v for k, v in arguments.items() if k in tool_params}
|
||||
|
||||
if len(filtered_args) < len(arguments):
|
||||
print(f"[DEBUG HTTP] Filtered arguments: {arguments} -> {filtered_args}")
|
||||
|
||||
# Call the tool with filtered arguments
|
||||
# FastMCP FunctionTool.run() takes a dict of arguments
|
||||
tool_result = await tool_obj.run(arguments)
|
||||
print(f"[DEBUG HTTP] Calling tool.run()...")
|
||||
tool_result = await tool_obj.run(filtered_args)
|
||||
print(f"[DEBUG HTTP] Tool result: {tool_result}")
|
||||
|
||||
# Extract content from ToolResult
|
||||
# ToolResult.content is a list of TextContent objects with a 'text' attribute
|
||||
@@ -414,11 +422,17 @@ if __name__ == "__main__":
|
||||
})
|
||||
|
||||
except TypeError as e:
|
||||
print(f"[ERROR] TypeError: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
return JSONResponse({
|
||||
"success": False,
|
||||
"error": f"Invalid arguments: {str(e)}"
|
||||
}, status_code=400)
|
||||
except Exception as e:
|
||||
print(f"[ERROR] Exception: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
return JSONResponse({
|
||||
"success": False,
|
||||
"error": str(e)
|
||||
|
||||
@@ -55,7 +55,6 @@ class MallClient:
|
||||
"""
|
||||
if self._client is None:
|
||||
default_headers = {
|
||||
"Authorization": f"Bearer {self.api_token}",
|
||||
"Content-Type": "application/json",
|
||||
"Accept": "application/json, text/plain, */*",
|
||||
"Device-Type": "pc",
|
||||
@@ -70,6 +69,10 @@ class MallClient:
|
||||
"DNT": "1",
|
||||
}
|
||||
|
||||
# 只有在有 token 时才添加 Authorization header
|
||||
if self.api_token:
|
||||
default_headers["Authorization"] = f"Bearer {self.api_token}"
|
||||
|
||||
# 合并额外的 headers（用于 Authorization2 等）
|
||||
if extra_headers:
|
||||
default_headers.update(extra_headers)
|
||||
@@ -131,6 +134,14 @@ class MallClient:
|
||||
json=json,
|
||||
headers=request_headers
|
||||
)
|
||||
|
||||
# Debug logging for product search
|
||||
if "/spu" in endpoint:
|
||||
print(f"[DEBUG MallClient] Request: {method} {endpoint}")
|
||||
print(f"[DEBUG MallClient] Params: {params}")
|
||||
print(f"[DEBUG MallClient] Response URL: {response.url}")
|
||||
print(f"[DEBUG MallClient] Response Status: {response.status_code}")
|
||||
|
||||
response.raise_for_status()
|
||||
|
||||
data = response.json()
|
||||
@@ -197,14 +208,14 @@ class MallClient:
|
||||
async def get_order_list(
|
||||
self,
|
||||
page: int = 1,
|
||||
limit: int = 10,
|
||||
limit: int = 5,
|
||||
customer_id: int = 0,
|
||||
order_types: Optional[list[int]] = None,
|
||||
shipping_status: int = 10000,
|
||||
date_added: Optional[str] = None,
|
||||
date_end: Optional[str] = None,
|
||||
no: Optional[str] = None,
|
||||
status: Optional[int] = None,
|
||||
status: int = 10000,
|
||||
is_drop_shopping: int = 0
|
||||
) -> dict[str, Any]:
|
||||
"""Query order list with filters
|
||||
@@ -213,14 +224,14 @@ class MallClient:
|
||||
|
||||
Args:
|
||||
page: 页码 (default: 1)
|
||||
limit: 每页数量 (default: 10)
|
||||
limit: 每页数量 (default: 5)
|
||||
customer_id: 客户ID (default: 0)
|
||||
order_types: 订单类型数组，如 [1, 2] (default: None)
|
||||
shipping_status: 物流状态 (default: 10000)
|
||||
shipping_status: 物流状态 (default: 10000, 10000表示全部状态)
|
||||
date_added: 开始日期，格式 YYYY-MM-DD (default: None)
|
||||
date_end: 结束日期，格式 YYYY-MM-DD (default: None)
|
||||
no: 订单号 (default: None)
|
||||
status: 订单状态 (default: None)
|
||||
status: 订单状态 (default: 10000, 10000表示全部状态)
|
||||
is_drop_shopping: 是否代发货 (default: 0)
|
||||
|
||||
Returns:
|
||||
@@ -239,6 +250,7 @@ class MallClient:
|
||||
"limit": limit,
|
||||
"customerId": customer_id,
|
||||
"shippingStatus": shipping_status,
|
||||
"status": status,
|
||||
"isDropShopping": is_drop_shopping
|
||||
}
|
||||
|
||||
@@ -253,8 +265,6 @@ class MallClient:
|
||||
params["dateEnd"] = date_end
|
||||
if no:
|
||||
params["no"] = no
|
||||
if status is not None:
|
||||
params["status"] = status
|
||||
|
||||
result = await self.get(
|
||||
"/mall/api/order/list",
|
||||
@@ -265,6 +275,47 @@ class MallClient:
|
||||
except Exception as e:
|
||||
raise Exception(f"查询订单列表失败 (Query order list failed): {str(e)}")
|
||||
|
||||
# ============ Product APIs ============
|
||||
|
||||
async def search_spu_products(
|
||||
self,
|
||||
keyword: str,
|
||||
page_size: int = 5,
|
||||
page: int = 1
|
||||
) -> dict[str, Any]:
|
||||
"""Search SPU products by keyword
|
||||
|
||||
根据关键词搜索商品 SPU
|
||||
|
||||
Args:
|
||||
keyword: 搜索关键词（商品名称、编号等）
|
||||
page_size: 每页数量 (default: 5, max 100)
|
||||
page: 页码 (default: 1)
|
||||
|
||||
Returns:
|
||||
商品列表，包含 SPU 信息、商品图片、价格等
|
||||
Product list including SPU info, images, prices, etc.
|
||||
|
||||
Example:
|
||||
>>> client = MallClient()
|
||||
>>> result = await client.search_spu_products("61607", page_size=60, page=1)
|
||||
>>> print(f"找到 {len(result.get('list', []))} 个商品")
|
||||
"""
|
||||
try:
|
||||
params = {
|
||||
"pageSize": min(page_size, 100), # 限制最大 100
|
||||
"page": page,
|
||||
"keyword": keyword
|
||||
}
|
||||
|
||||
result = await self.get(
|
||||
"/mall/api/spu",
|
||||
params=params
|
||||
)
|
||||
return result
|
||||
except Exception as e:
|
||||
raise Exception(f"搜索商品失败 (Search SPU products failed): {str(e)}")
|
||||
|
||||
|
||||
# Global Mall client instance
|
||||
mall_client: Optional[MallClient] = None
|
||||
|
||||
@@ -1,74 +0,0 @@
|
||||
#!/bin/bash
|
||||
# 测试所有 FAQ 分类
|
||||
|
||||
echo "=========================================="
|
||||
echo "🧪 测试所有 FAQ 分类"
|
||||
echo "=========================================="
|
||||
echo ""
|
||||
|
||||
# 定义测试用例
|
||||
declare -A TEST_CASES=(
|
||||
["订单相关"]="How do I place an order?"
|
||||
["支付相关"]="What payment methods do you accept?"
|
||||
["运输相关"]="What are the shipping options?"
|
||||
["退货相关"]="I received a defective item, what should I do?"
|
||||
["账号相关"]="I forgot my password, now what?"
|
||||
["营业时间"]="What are your opening hours?"
|
||||
)
|
||||
|
||||
# 测试每个分类
|
||||
for category in "${!TEST_CASES[@]}"; do
|
||||
question="${TEST_CASES[$category]}"
|
||||
conv_id="test_${category}___$(date +%s)"
|
||||
|
||||
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
|
||||
echo "📋 分类: $category"
|
||||
echo "📝 问题: $question"
|
||||
echo "⏳ 处理中..."
|
||||
echo ""
|
||||
|
||||
# 调用 API
|
||||
RESPONSE=$(docker exec ai_agent curl -s -X POST 'http://localhost:8000/api/agent/query' \
|
||||
-H 'Content-Type: application/json' \
|
||||
-d "{\"conversation_id\":\"$conv_id\",\"user_id\":\"test_user\",\"account_id\":\"2\",\"message\":\"$question\"}")
|
||||
|
||||
# 解析并显示结果
|
||||
echo "$RESPONSE" | python3 << PYTHON
|
||||
import json
|
||||
import sys
|
||||
|
||||
try:
|
||||
data = json.load(sys.stdin)
|
||||
|
||||
# 提取响应
|
||||
response = data.get("response", "")
|
||||
intent = data.get("intent", "")
|
||||
|
||||
if response:
|
||||
# 清理 HTML 标签（如果有）
|
||||
import re
|
||||
clean_response = re.sub(r'<[^<]+?>', '', response)
|
||||
clean_response = clean_response.strip()
|
||||
|
||||
# 截断过长响应
|
||||
if len(clean_response) > 300:
|
||||
clean_response = clean_response[:300] + "..."
|
||||
|
||||
print(f"🎯 意图: {intent}")
|
||||
print(f"🤖 回答: {clean_response}")
|
||||
else:
|
||||
print("❌ 未获得回答")
|
||||
print(f"调试信息: {json.dumps(data, indent=2, ensure_ascii=False)}")
|
||||
|
||||
except Exception as e:
|
||||
print(f"❌ 解析错误: {e}")
|
||||
print(f"原始响应: {sys.stdin.read()}")
|
||||
PYTHON
|
||||
|
||||
echo ""
|
||||
sleep 2 # 间隔 2 秒
|
||||
done
|
||||
|
||||
echo "=========================================="
|
||||
echo "✅ 所有测试完成"
|
||||
echo "=========================================="
|
||||
@@ -1,103 +0,0 @@
|
||||
"""
|
||||
测试商城订单查询接口
|
||||
|
||||
Usage:
|
||||
python test_mall_order_query.py <order_id>
|
||||
|
||||
Example:
|
||||
python test_mall_order_query.py 202071324
|
||||
"""
|
||||
import asyncio
|
||||
import sys
|
||||
import os
|
||||
|
||||
# Add mcp_servers to path
|
||||
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "mcp_servers"))
|
||||
|
||||
from shared.mall_client import MallClient
|
||||
|
||||
|
||||
async def test_order_query(order_id: str, token: str):
|
||||
"""测试订单查询
|
||||
|
||||
Args:
|
||||
order_id: 订单号
|
||||
token: JWT Token
|
||||
"""
|
||||
print(f"\n{'='*60}")
|
||||
print(f"测试商城订单查询接口")
|
||||
print(f"{'='*60}")
|
||||
print(f"订单号 (Order ID): {order_id}")
|
||||
print(f"API URL: https://apicn.qa1.gaia888.com")
|
||||
print(f"{'='*60}\n")
|
||||
|
||||
# 创建客户端
|
||||
client = MallClient(
|
||||
api_url="https://apicn.qa1.gaia888.com",
|
||||
api_token=token,
|
||||
tenant_id="2",
|
||||
currency_code="EUR",
|
||||
language_id="1",
|
||||
source="us.qa1.gaia888.com"
|
||||
)
|
||||
|
||||
try:
|
||||
# 调用订单查询接口
|
||||
result = await client.get_order_by_id(order_id)
|
||||
|
||||
# 打印结果
|
||||
print("✅ 查询成功 (Query Success)!")
|
||||
print(f"\n返回数据 (Response Data):")
|
||||
print("-" * 60)
|
||||
import json
|
||||
print(json.dumps(result, ensure_ascii=False, indent=2))
|
||||
print("-" * 60)
|
||||
|
||||
# 提取关键信息
|
||||
if isinstance(result, dict):
|
||||
print(f"\n关键信息 (Key Information):")
|
||||
print(f" 订单号 (Order ID): {result.get('order_id') or result.get('orderId') or order_id}")
|
||||
print(f" 订单状态 (Status): {result.get('status') or result.get('order_status') or 'N/A'}")
|
||||
print(f" 订单金额 (Amount): {result.get('total_amount') or result.get('amount') or 'N/A'}")
|
||||
|
||||
# 商品信息
|
||||
items = result.get('items') or result.get('order_items') or result.get('products')
|
||||
if items:
|
||||
print(f" 商品数量 (Items): {len(items)}")
|
||||
|
||||
except Exception as e:
|
||||
print(f"❌ 查询失败 (Query Failed): {str(e)}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
|
||||
finally:
|
||||
await client.close()
|
||||
|
||||
|
||||
def main():
|
||||
"""主函数"""
|
||||
if len(sys.argv) < 2:
|
||||
print("Usage: python test_mall_order_query.py <order_id> [token]")
|
||||
print("\nExample:")
|
||||
print(' python test_mall_order_query.py 202071324')
|
||||
print(' python test_mall_order_query.py 202071324 "your_jwt_token_here"')
|
||||
sys.exit(1)
|
||||
|
||||
order_id = sys.argv[1]
|
||||
|
||||
# 从命令行获取 token，如果没有提供则使用默认的测试 token
|
||||
if len(sys.argv) >= 3:
|
||||
token = sys.argv[2]
|
||||
else:
|
||||
# 使用用户提供的示例 token
|
||||
token = "eyJ0eXAiOiJqd3QifQ.eyJzdWIiOiIxIiwiaXNzIjoiaHR0cDpcL1wvOiIsImV4cCI6MTc3MDUyMDY2MSwiaWF0IjoxNzY3OTI4NjYxLCJuYmYiOjE3Njc5Mjg2NjEsInVzZXJJZCI6MTAxNDMyLCJ0eXBlIjoyLCJ0ZW5hbnRJZCI6MiwidWlkIjoxMDE0MzIsInMiOiJkM0tZMjMiLCJqdGkiOiI3YjcwYTI2MzYwYjJmMzA3YmQ4YTYzNDAxOGVlNjlmZSJ9.dwiqln19-yAQSJd1w5bxZFrRgyohdAkHa1zW3W7Ov2I"
|
||||
print("⚠️ 使用默认的测试 token（可能已过期）")
|
||||
print(" 如需测试，请提供有效的 token:")
|
||||
print(f' python {sys.argv[0]} {order_id} "your_jwt_token_here"\n')
|
||||
|
||||
# 运行异步测试
|
||||
asyncio.run(test_order_query(order_id, token))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,63 +0,0 @@
|
||||
"""
|
||||
测试退货相关 FAQ 回答
|
||||
"""
|
||||
import asyncio
|
||||
import sys
|
||||
import os
|
||||
|
||||
# 添加 agent 目录到路径
|
||||
sys.path.insert(0, '/app')
|
||||
|
||||
from agents.customer_service import customer_service_agent
|
||||
from core.state import AgentState
|
||||
|
||||
|
||||
async def test_return_faq():
|
||||
"""测试退货相关 FAQ"""
|
||||
|
||||
# 测试问题列表
|
||||
test_questions = [
|
||||
"I received a defective item, what should I do?",
|
||||
"How do I return a product?",
|
||||
"What is your return policy?",
|
||||
"I want to get a refund for my order",
|
||||
]
|
||||
|
||||
for question in test_questions:
|
||||
print(f"\n{'='*60}")
|
||||
print(f"📝 问题: {question}")
|
||||
print(f"{'='*60}")
|
||||
|
||||
# 初始化状态
|
||||
state = AgentState(
|
||||
conversation_id="test_return_001",
|
||||
user_id="test_user",
|
||||
account_id="2",
|
||||
message=question,
|
||||
history=[],
|
||||
context={}
|
||||
)
|
||||
|
||||
try:
|
||||
# 调用客服 Agent
|
||||
final_state = await customer_service_agent(state)
|
||||
|
||||
# 获取响应
|
||||
response = final_state.get("response", "无响应")
|
||||
tool_calls = final_state.get("tool_calls", [])
|
||||
intent = final_state.get("intent")
|
||||
|
||||
print(f"\n🎯 意图识别: {intent}")
|
||||
print(f"\n🤖 AI 回答:")
|
||||
print(response)
|
||||
print(f"\n📊 调用的工具: {tool_calls}")
|
||||
|
||||
except Exception as e:
|
||||
print(f"\n❌ 错误: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
print("🧪 测试退货相关 FAQ 回答\n")
|
||||
asyncio.run(test_return_faq())
|
||||
Reference in New Issue
Block a user