后端生成闸+多项修复;前端全站更新;QA 审计与报告

后端:
- 新增 celery_health 生成前置闸——无 worker 在线时图片/视频生成入口
  一律 503,防"提交到 ARK 后无人轮询、结果悬空+额度冻结"的数据丢失
- 拼接导出:帧率跟随源众数、字幕逐句重映射、原声/BGM 混音修复
- 资金核算审计脚本 + genesis 账目回填 + 滞留预留清理命令
- 接入 yunqi provider 与豆包 TTS 模型(catalog/migrations/bootstrap 命令)

前端:全站页面更新(pipeline/library/products/projects/team/account 等),
新增共享 pager 分页组件

QA:刷新 function-audit 全量输出,新增 full-qa 报告
文档:BP 产品介绍资料、design/CLAUDE.md

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

core/backend/apps/ai/providers/__init__.py

@@ -1,6 +1,6 @@
 from .base import AIProvider, AIProviderResult
-from .volcano import VolcanoArkProvider
+from .volcano import TtsNotConfigured, VolcanoArkProvider, VolcanoTtsProvider
+from .yunqi import YunqiProvider
 
 
-__all__ = ["AIProvider", "AIProviderResult", "VolcanoArkProvider"]
-
+__all__ = ["AIProvider", "AIProviderResult", "TtsNotConfigured", "VolcanoArkProvider", "VolcanoTtsProvider", "YunqiProvider"]

core/backend/apps/ai/providers/volcano.py

@@ -1,5 +1,6 @@
 from dataclasses import dataclass
 import base64
+import uuid
 from io import BytesIO
 from typing import Any
 
@@ -171,3 +172,60 @@ class VolcanoArkProvider:
             content_type = header.split(";")[0].replace("data:", "") or "application/octet-stream"
             return BytesIO(base64.b64decode(raw)), content_type
         return BytesIO(base64.b64decode(media)), "image/png"
+
+
+class TtsNotConfigured(ValueError):
+    """语音合成凭证未配置(VOLC_TTS_APPID / VOLC_TTS_ACCESS_TOKEN)。"""
+
+
+@dataclass
+class VolcanoTtsProvider:
+    """豆包语音合成大模型(openspeech V1 HTTP,非流式)。
+    注意:与 ARK 不是同一套钥匙,要在 火山引擎控制台→语音技术→语音合成大模型 创建应用拿 APPID/Access Token。"""
+
+    appid: str | None = None
+    access_token: str | None = None
+    cluster: str | None = None
+    base_url: str | None = None
+
+    def __post_init__(self) -> None:
+        cfg = getattr(settings, "VOLC_TTS", {}) or {}
+        self.appid = self.appid or cfg.get("appid")
+        self.access_token = self.access_token or cfg.get("access_token")
+        self.cluster = self.cluster or cfg.get("cluster") or "volcano_tts"
+        self.base_url = self.base_url or cfg.get("base_url") or "https://openspeech.bytedance.com/api/v1/tts"
+
+    @property
+    def configured(self) -> bool:
+        return bool(self.appid and self.access_token)
+
+    def synthesize(self, *, text: str, voice_type: str, speed_ratio: float = 1.0, uid: str = "airshelf") -> tuple[bytes, int]:
+        """合成一段语音。返回 (mp3 字节, 时长毫秒;接口没回时长则为 0)。"""
+        if not self.configured:
+            raise TtsNotConfigured(
+                "语音合成未配置:请在后端环境变量设置 VOLC_TTS_APPID 和 VOLC_TTS_ACCESS_TOKEN"
+                "(火山引擎控制台 → 语音技术 → 语音合成大模型 → 创建应用)"
+            )
+        body = {
+            "app": {"appid": self.appid, "token": self.access_token, "cluster": self.cluster},
+            "user": {"uid": uid},
+            "audio": {"voice_type": voice_type, "encoding": "mp3", "speed_ratio": float(speed_ratio or 1.0)},
+            "request": {"reqid": str(uuid.uuid4()), "text": text, "operation": "query"},
+        }
+        response = requests.post(
+            self.base_url,
+            headers={"Authorization": f"Bearer;{self.access_token}"},
+            json=body,
+            timeout=60,
+        )
+        response.raise_for_status()
+        data = response.json()
+        if data.get("code") != 3000 or not data.get("data"):
+            raise ValueError(f"语音合成失败:{data.get('message') or data.get('code')}")
+        audio = base64.b64decode(data["data"])
+        duration_ms = 0
+        try:
+            duration_ms = int(float((data.get("addition") or {}).get("duration") or 0))
+        except (TypeError, ValueError):
+            duration_ms = 0
+        return audio, duration_ms

core/backend/apps/ai/providers/yunqi.py

@@ -0,0 +1,43 @@
+from typing import Any
+
+import requests
+from django.conf import settings
+
+from .volcano import VolcanoArkProvider
+
+
+class YunqiProvider(VolcanoArkProvider):
+    """YunQi AI(New API 网关)适配器:OpenAI 兼容 images/generations。
+
+    与火山 ARK 的差异:不接受 watermark/sequential_image_generation/response_format 私有参数;
+    size 用 OpenAI 枚举(1024x1024/1024x1536/1536x1024);gpt-image-2 固定返回 b64_json,
+    下游 extract_first_media_url / media_to_bytes 已兼容 base64,无需改动。
+    """
+
+    def __post_init__(self) -> None:
+        self.api_key = self.api_key or settings.YUNQI.get("api_key")
+        self.base_url = self.base_url or settings.YUNQI.get("base_url")
+
+    def image_generation(
+        self,
+        *,
+        model: str,
+        prompt: str,
+        endpoint: str = "images/generations",
+        image: str | list[str] | None = None,
+        size: str = "1024x1536",
+    ) -> dict[str, Any]:
+        if not self.api_key:
+            raise ValueError("YUNQI_API_KEY is not configured")
+        if image:
+            raise ValueError("gpt-image-2 via YunQi only supports text-to-image; reference image is not supported")
+        body: dict[str, Any] = {"model": model, "prompt": prompt, "size": size, "n": 1}
+        # 实测该网关生图平均延迟 75s+,超时须显著高于火山的 180s
+        response = requests.post(
+            f"{self.base_url.rstrip('/')}/{endpoint.lstrip('/')}",
+            headers={"Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json"},
+            json=body,
+            timeout=300,
+        )
+        response.raise_for_status()
+        return response.json()