feat: integrate quality-gated draw flow with online dispatch transfer

qingjian_cs/app/auto_draw.py

@@ -28,6 +28,7 @@ async def auto_draw_preview(
         logger.info("[作图] 开始 customer=%s image=%s", customer_id, image_url)
         from services.service_gemini_stable import GeminiExtractStableService  # type: ignore
         from services.service_tuhui_upload import upload_to_tuhui  # type: ignore
+        from .image_quote_analyzer import analyze_image_for_quote, evaluate_generated_image
     except Exception as e:
         logger.error("[作图] 依赖加载失败: %s", e)
         return {"ok": False, "error": f"依赖加载失败:{e}"}
@@ -37,6 +38,25 @@ async def auto_draw_preview(
     output_path = os.path.join(tempfile.gettempdir(), f"qjcs_out_{uuid.uuid4().hex}.jpg")
 
     try:
+        logger.info("[作图] 识图评估中")
+        analysis = await analyze_image_for_quote(
+            image_url=image_url,
+            customer_text=requirement,
+            goods_name="",
+        )
+        if analysis.get("ok"):
+            business_related = str(analysis.get("business_related", "yes")).lower()
+            can_do = str(analysis.get("can_do", "partial")).lower()
+            if business_related == "no":
+                logger.info("[作图] 终止: 非印花/印刷相关")
+                return {"ok": False, "error": "非印花/印刷相关，退出"}
+            if can_do == "no":
+                logger.info("[作图] 终止: 识图判定不可做")
+                return {"ok": False, "error": "识图判定不可做，退出"}
+            if str(analysis.get("gemini_prompt", "")).strip():
+                prompt = str(analysis.get("gemini_prompt", "")).strip()
+                logger.info("[作图] 使用识图提示词: %s", prompt[:80])
+
         logger.info("[作图] 下载原图中")
         headers = {
             "User-Agent": (
@@ -71,6 +91,20 @@ async def auto_draw_preview(
             return {"ok": False, "error": "生成失败:未产出文件"}
         logger.info("[作图] Gemini 生成完成")
 
+        logger.info("[作图] 结果评估中")
+        review = await evaluate_generated_image(
+            original_image_url=image_url,
+            generated_image_path=output_path,
+            requirement=requirement,
+        )
+        if not review.get("pass", False):
+            logger.info("[作图] 终止: 评估不通过 reason=%s", review.get("reason", ""))
+            return {
+                "ok": False,
+                "need_transfer": True,
+                "error": f"评估不通过:{review.get('reason', 'unknown')}",
+            }
+
         logger.info("[作图] 上传图绘中")
         ok_upload, link, _ = await upload_to_tuhui(
             output_path,

qingjian_cs/app/client.py

@@ -25,6 +25,7 @@ from .orchestrator import Orchestrator
 from .rules import extract_image_urls, prefilter_message
 from .runtime_switch import is_listen_only
 from .store import ConversationStore
+from .transfer_flow import transfer_to_human_flow
 
 
 class QingjianClient:
@@ -383,8 +384,11 @@ class QingjianClient:
             text = (decision.transfer_msg or "").strip()
             if self._is_invalid_ai_reply(text):
                 text = self._fallback_reply("transfer")
-            await self.send_reply(data, text, trace_id=trace_id, turn_version=turn_version)
-            self.last_reply_key[key] = text
+            ok_transfer, reason = await transfer_to_human_flow(self, data, transfer_msg=text, trace_id=trace_id)
+            if not ok_transfer:
+                self.logger.error("[转人工] 指令失败: %s", reason)
+                await self.send_reply(data, text, trace_id=trace_id, turn_version=turn_version)
+                self.last_reply_key[key] = text
             await post_tianwang_callback("message_processed", data, extra={"trace_id": trace_id, "route": route, "action": "transfer", "reply": text})
             return
 
@@ -433,6 +437,19 @@ class QingjianClient:
                     customer_id=context["customer_id"],
                     error=str(draw_res.get("error", "unknown")),
                 )
+                if bool(draw_res.get("need_transfer")):
+                    tmsg = "这个我转人工给你看下"
+                    ok_transfer, reason = await transfer_to_human_flow(self, data, transfer_msg=tmsg, trace_id=trace_id)
+                    if not ok_transfer:
+                        self.logger.error("[转人工] 指令失败: %s", reason)
+                        await self.send_reply(data, tmsg, trace_id=trace_id, turn_version=turn_version)
+                        self.last_reply_key[key] = tmsg
+                    await post_tianwang_callback(
+                        "message_processed",
+                        data,
+                        extra={"trace_id": trace_id, "route": route, "action": "transfer", "reply": tmsg},
+                    )
+                    return
                 self.logger.error("[作图] 失败 customer=%s error=%s", context["customer_id"], draw_res.get("error", "unknown"))
             elif AUTO_DRAW_ENABLED and (not draw_allowed):
                 self.logger.info("[作图] 已跳过: 识图结果不可做 can_do=%s customer=%s", can_do, context["customer_id"])

qingjian_cs/app/image_quote_analyzer.py

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import asyncio
+import base64
 import logging
 import os
 import re
@@ -191,10 +192,20 @@ def _extract_line(text: str, key: str) -> str:
 
 def _parse_result(text: str) -> dict[str, Any]:
     intent = _extract_line(text, "诉求类型")
+    if not intent:
+        intent = _extract_line(text, "类型")
     can_do = _extract_line(text, "可做").lower()
+    business_related = _extract_line(text, "业务相关").lower()
     complexity = _extract_line(text, "复杂度").lower()
     price_text = _extract_line(text, "建议报价")
+    if not price_text:
+        price_text = _extract_line(text, "建议价格")
+    gemini_prompt = _extract_line(text, "提示词")
+    aspect_ratio = _extract_line(text, "比例")
+    risk = _extract_line(text, "风险").lower()
     note = _extract_line(text, "说明")
+    if not note:
+        note = _extract_line(text, "备注")
 
     if intent not in {"找图", "高清修复", "其他"}:
         intent = "其他"
@@ -202,6 +213,12 @@ def _parse_result(text: str) -> dict[str, Any]:
         can_do = "partial"
     if complexity not in {"simple", "normal", "complex", "hard"}:
         complexity = "normal"
+    if business_related not in {"yes", "no"}:
+        business_related = "yes"
+    if aspect_ratio not in {"1:1", "9:16", "16:9", "3:4", "4:3", "3:2", "2:3", "5:4", "4:5"}:
+        aspect_ratio = "1:1"
+    if risk not in {"none", "low", "high"}:
+        risk = "none"
 
     price = 0
     m = re.search(r"\d+", price_text or "")
@@ -211,8 +228,12 @@ def _parse_result(text: str) -> dict[str, Any]:
     return {
         "intent_type": intent,
         "can_do": can_do,
+        "business_related": business_related,
         "complexity": complexity,
         "price_suggest": price,
+        "gemini_prompt": gemini_prompt or "",
+        "aspect_ratio": aspect_ratio,
+        "risk": risk,
         "note": note or "已看图",
     }
 
@@ -263,3 +284,61 @@ async def analyze_image_for_quote(image_url: str, customer_text: str = "", goods
         logger.error("[识图报价] 调用失败: %s", e)
         return {"ok": False, "error": str(e)}
 
+
+def _image_file_to_data_url(path: str) -> str:
+    with open(path, "rb") as f:
+        b64 = base64.b64encode(f.read()).decode("utf-8")
+    return f"data:image/jpeg;base64,{b64}"
+
+
+async def evaluate_generated_image(
+    original_image_url: str,
+    generated_image_path: str,
+    requirement: str = "",
+) -> dict[str, Any]:
+    """
+    生成后质量评估：不通过则建议直接退出，不发送给客户。
+    """
+    if not OPENAI_API_KEY:
+        return {"ok": False, "pass": True, "reason": "no_api_key_skip"}
+    if not os.path.exists(generated_image_path):
+        return {"ok": False, "pass": False, "reason": "generated_file_missing"}
+    client = AsyncOpenAI(base_url=OPENAI_BASE_URL, api_key=OPENAI_API_KEY)
+    review_prompt = (
+        "你是印花/印刷交付质检。请对比原图和生成图，判断是否可发给客户。\n"
+        "重点看：主体是否跑偏、细节是否糊、是否明显AI味、是否不适合印刷。\n"
+        "只输出两行：\n"
+        "评估: <pass|fail>\n"
+        "原因: <20字内>\n"
+        f"客户要求: {requirement or '无'}"
+    )
+    try:
+        gen_url = _image_file_to_data_url(generated_image_path)
+        resp = await asyncio.wait_for(
+            client.chat.completions.create(
+                model=VISION_MODEL,
+                temperature=0.1,
+                messages=[
+                    {"role": "system", "content": "你是严格的图像交付质检员。"},
+                    {
+                        "role": "user",
+                        "content": [
+                            {"type": "text", "text": review_prompt},
+                            {"type": "image_url", "image_url": {"url": original_image_url}},
+                            {"type": "image_url", "image_url": {"url": gen_url}},
+                        ],
+                    },
+                ],
+            ),
+            timeout=30,
+        )
+        text = str((resp.choices[0].message.content if resp and resp.choices else "") or "").strip()
+        flag = _extract_line(text, "评估").lower()
+        reason = _extract_line(text, "原因") or _clip(text, 40)
+        passed = flag == "pass"
+        logger.info("[作图评估] result=%s reason=%s", "pass" if passed else "fail", reason)
+        return {"ok": True, "pass": passed, "reason": reason, "raw": text}
+    except Exception as e:
+        logger.error("[作图评估] 调用失败: %s", e)
+        return {"ok": False, "pass": False, "reason": str(e)}
+

qingjian_cs/app/transfer_flow.py

@@ -0,0 +1,91 @@
+from __future__ import annotations
+
+import os
+import asyncio
+from typing import Any
+import requests
+
+from .observability import activity_event
+
+DEFAULT_TRANSFER_GROUP = os.getenv("TRANSFER_GROUP_ID", "20252916034").strip() or "20252916034"
+DEFAULT_TRANSFER_ASSIGNEE = os.getenv("TRANSFER_ASSIGNED_TO", "").strip()
+DISPATCH_BASE_URL = os.getenv("DISPATCH_BASE_URL", "http://1.12.50.92:8006").strip().rstrip("/")
+DISPATCH_API_KEY = os.getenv("DISPATCH_API_KEY", "tuhui_dispatch_key_2026").strip()
+DISPATCH_TIMEOUT_SECONDS = float(os.getenv("DISPATCH_TIMEOUT_SECONDS", "5"))
+
+
+def _dispatch_assign_once() -> dict[str, Any]:
+    if not DISPATCH_BASE_URL or not DISPATCH_API_KEY:
+        return {"success": False, "reason": "dispatch_config_missing"}
+    try:
+        resp = requests.get(
+            f"{DISPATCH_BASE_URL}/assign",
+            headers={"X-API-Key": DISPATCH_API_KEY},
+            timeout=DISPATCH_TIMEOUT_SECONDS,
+        )
+        if resp.status_code != 200:
+            return {"success": False, "reason": f"http_{resp.status_code}"}
+        data = resp.json() if resp.text else {}
+        return {
+            "success": bool(data.get("success", False)),
+            "task_id": str(data.get("task_id", "") or ""),
+            "assigned_to": str(data.get("assigned_to", "") or ""),
+            "online_count": int(data.get("online_count", 0) or 0),
+            "raw": data,
+        }
+    except Exception as e:
+        return {"success": False, "reason": str(e)}
+
+
+async def transfer_to_human_flow(client, data: dict[str, Any], transfer_msg: str = "", trace_id: str = "-") -> tuple[bool, str]:
+    """
+    真实转人工：发送千牛转接命令，不走AI文本压缩逻辑。
+    """
+    if not client.websocket:
+        return False, "websocket_not_connected"
+
+    acc_id = str(data.get("acc_id", "") or "")
+    from_id = str(data.get("from_id", "") or "")
+    from_name = str(data.get("from_name", from_id) or from_id)
+    acc_type = str(data.get("acc_type", "AliWorkbench") or "AliWorkbench")
+
+    dispatch_res = await asyncio.to_thread(_dispatch_assign_once)
+    assignee = str(dispatch_res.get("assigned_to", "") or "").strip() or DEFAULT_TRANSFER_ASSIGNEE
+    activity_event(
+        client.logger,
+        "dispatch_assign",
+        trace_id=trace_id,
+        customer_id=from_id or "-",
+        success=bool(dispatch_res.get("success")),
+        assigned_to=assignee,
+        online_count=int(dispatch_res.get("online_count", 0) or 0),
+        reason=str(dispatch_res.get("reason", "") or ""),
+    )
+    if assignee:
+        cmd = f"正在为你转接人工|[转移会话],{assignee},无原因"
+        target = assignee
+    else:
+        cmd = f"话术|[转移会话],分组{DEFAULT_TRANSFER_GROUP},无原因"
+        target = f"分组{DEFAULT_TRANSFER_GROUP}"
+
+    msg = {
+        "msg_id": "",
+        "acc_id": acc_id,
+        "msg": cmd,
+        "from_id": from_id,
+        "from_name": from_name,
+        "cy_id": from_id,
+        "acc_type": acc_type,
+        "msg_type": 0,
+        "cy_name": from_name,
+    }
+    await client.send_message(msg)
+    activity_event(
+        client.logger,
+        "transfer_command_sent",
+        trace_id=trace_id,
+        customer_id=from_id or "-",
+        target=target,
+        transfer_msg=(transfer_msg or ""),
+    )
+    return True, target