上线版: 产品表单统一+form嵌套修复+用户管理+部署+三套叙事

- 产品编辑入口统一走 ProductFormFull(卖点/风格/人群/品牌词全字段);
  修复开任务页 <form> 套 <form> 致"编辑产品"报错、改不了、跳回首个产品
- dashboard 入口卡片对齐实际路由: 系统管理(/config) 与 工作配置(/settings) 分开;
  settings ?tab=products 直达改用挂载后读 URL, 消除 hydration mismatch
- 新增用户管理(users API/admin service/改密页) + alembic 022/023/024
- 上线部署: Dockerfile / docker-compose.prod+https / nginx https / .env.example
- A8 三套正交叙事(痛点/场景/成分背书) + beige 调色去AI化 + 飞轮 text_import 高权重信号

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

backend/tests/test_image_provider_routing.py

@@ -0,0 +1,64 @@
+import asyncio
+import base64
+
+from app.services.ai_engine.gemini_factory import AIClients
+
+
+class _Resp:
+    def __init__(self, payload):
+        self.payload = payload
+
+    def raise_for_status(self):
+        return None
+
+    def json(self):
+        return self.payload
+
+
+class _Client:
+    def __init__(self, payload):
+        self.payload = payload
+        self.calls = []
+
+    async def post(self, url, **kwargs):
+        self.calls.append({"url": url, **kwargs})
+        return _Resp(self.payload)
+
+
+def test_apiports_image_edit_uses_chat_completions(monkeypatch):
+    img = base64.b64encode(b"image-bytes").decode()
+    fake = _Client({
+        "choices": [{
+            "message": {
+                "images": [{"b64_json": img}],
+            },
+        }],
+    })
+    client = AIClients(_gpt_token="apiports-token", _gpt_base="https://apiports.example")
+    monkeypatch.setattr(client, "_gpt_target", lambda provider: ("https://apiports.example", "apiports-token", fake))
+
+    out = asyncio.run(client.gpt_edits("keep bottle", [b"ref"], "1024x1536", provider="apiports"))
+
+    assert out == b"image-bytes"
+    assert fake.calls[0]["url"] == "https://apiports.example/chat/completions"
+    payload = fake.calls[0]["json"]
+    assert payload["model"] == client._model_image
+    content = payload["messages"][0]["content"]
+    assert content[0]["type"] == "text"
+    assert content[1]["type"] == "image_url"
+    assert content[1]["image_url"]["url"].startswith("data:image/png;base64,")
+
+
+def test_codeproxy_image_edit_keeps_images_edits(monkeypatch):
+    img = base64.b64encode(b"codeproxy-image").decode()
+    fake = _Client({"data": [{"b64_json": img}]})
+    client = AIClients(_alt_token="codeproxy-token", _alt_base="https://codeproxy.example")
+    monkeypatch.setattr(client, "_gpt_target", lambda provider: ("https://codeproxy.example", "codeproxy-token", fake))
+
+    out = asyncio.run(client.gpt_edits("keep bottle", [b"ref"], "1024x1536", provider="codeproxy"))
+
+    assert out == b"codeproxy-image"
+    assert fake.calls[0]["url"] == "https://codeproxy.example/images/edits"
+    files = fake.calls[0]["files"]
+    assert any(part[0] == "image[]" for part in files)
+    assert any(part[0] == "prompt" for part in files)