添加视频复刻和优化脚本旁白

core/backend/.env

@@ -28,7 +28,7 @@ YUNQI_API_KEY=sk-xvfKxM6q2TlGEV4SMZxmg8nf20tR94yG6nSBT5iHfXyuaAvl
 YUNQI_BASE_URL=https://www.yunqiai.chat/v1
 # YunQi 对话(脚本助手)· 按模型分开计费的两把 key(同一 base_url,各自独立额度)
 YUNQI_GPT_API_KEY=sk-xvfKxM6q2TlGEV4SMZxmg8nf20tR94yG6nSBT5iHfXyuaAvl
-YUNQI_GEMINI_API_KEY=sk-xvfKxM6q2TlGEV4SMZxmg8nf20tR94yG6nSBT5iHfXyuaAvl
+YUNQI_GEMINI_API_KEY=sk-mLqAO8PixQVBSD1ZHeIsQMUSmlsJ9OZGDxPDna8TBi7krUHQ
 
 # tokenssr 中转站(主力:gpt-image-2 参考图 + gpt-5.5/gemini 文本 + gemini 图像)· 一把 key 通吃 90 模型
 TOKENSSR_API_KEY=sk-vDg00IAX6EW4ABo4ePwAFPRaIjScFLUs1ZM1lInZJvs7z6M0

core/backend/airshelf/settings/base.py

@@ -248,6 +248,7 @@ PROVIDER_BASE_URLS = {
     # 故拆成两个 provider(一 provider 一 key 是现有约定)。base_url 都指 YunQi。
     "yunqi_gpt": env("YUNQI_BASE_URL", "https://www.yunqiai.chat/v1"),
     "yunqi_gemini": env("YUNQI_BASE_URL", "https://www.yunqiai.chat/v1"),
+    "yunqi_gemini_guanzhuan": env("YUNQI_BASE_URL", "https://www.yunqiai.chat/v1"),
     "tokenssr": env("TOKENSSR_BASE_URL", "https://king.tokenssr.com/v1"),
 }
 PROVIDER_KEYS = {
@@ -255,6 +256,7 @@ PROVIDER_KEYS = {
     "yunqi": env("YUNQI_API_KEY", ""),
     "yunqi_gpt": env("YUNQI_GPT_API_KEY", ""),
     "yunqi_gemini": env("YUNQI_GEMINI_API_KEY", ""),
+    "yunqi_gemini_guanzhuan": env("YUNQI_GEMINI_API_KEY", ""),
     "tokenssr": env("TOKENSSR_API_KEY", ""),
 }
 # 临时:视频(Seedance)单独借 AirDrama 火山账号的 ARK key。真人素材库审核(ASSETS_API)建在 AirDrama 账号下,

core/backend/apps/ai/generation_errors.py

@@ -53,6 +53,7 @@ OPERATION_LABELS = {
     "video_generate": "视频",
     "voiceover_generate": "配音",
     "entity_extract": "脚本信息",
+    "video_digest": "视频提炼",
 }
 
 TASK_OPERATIONS = {
@@ -67,6 +68,7 @@ TASK_OPERATIONS = {
     "video_segment": "video_generate",
     "voiceover": "voiceover_generate",
     "free_video": "video_generate",
+    "video_digest": "video_digest",
 }
 
 

core/backend/apps/ai/routing_executor.py

@@ -316,6 +316,8 @@ def execute_model_call(
     error_metadata: Callable[[Exception, ModelConfig], AttemptMetadata | Mapping[str, Any]] | None = None,
     error_classifier: Callable[[Exception, ModelConfig], PublicGenerationError] | None = None,
     candidate_resolver: Callable[..., list[ModelConfig]] | None = None,
+    allow_retry: bool = True,
+    allow_fallback: bool = True,
     sleep: Callable[[float], None] = time.sleep,
     monotonic: Callable[[], float] = time.monotonic,
     uniform: Callable[[float, float], float] = random.uniform,
@@ -328,7 +330,11 @@ def execute_model_call(
         raise ValueError("主模型 capability 与本次 ModelRequirements 不一致")
 
     policy, retry_delays, request_timeout, total_timeout, retry_after_cap = _ability_policy(requirements)
+    if not allow_retry:
+        retry_delays = ()
     resolver = candidate_resolver or resolve_fallback_candidates
+    if not allow_fallback:
+        resolver = lambda **_kwargs: []
     result_meta = result_metadata or _default_result_metadata
     error_meta = error_metadata or _default_error_metadata
     classify = error_classifier or (

core/backend/apps/ai/script_agent.py

@@ -83,10 +83,11 @@ PERSONA_BRIEFS: dict[str, str] = {
 }
 _PERSONA_KEY_BY_LABEL = {label: key for key, label in PERSONA_LABELS.items()}
 
-# 可懂语速上限 3.5 字/秒;15 秒口播还要有下限,否则模型写一句 20 字就收,撑不满。
+# 成片有同期画面与自然停顿，3.5 字/秒会让 15 秒口播在约 10 秒时说完。
-NARRATION_CHARS_PER_SECOND = 3.5
+# 电商真人口播以 3.6–4.5 字/秒为可用区间：既留出换气，也不会让画面空转。
-NARRATION_CHARS_PER_SECOND_MIN = 2.4
+NARRATION_CHARS_PER_SECOND = 4.5
-NARRATION_CHARS_HARD_CAP = 55
+NARRATION_CHARS_PER_SECOND_MIN = 3.6
+NARRATION_CHARS_HARD_CAP = 68
 VISUAL_CHARS_MIN = 72
 SHOT_BEATS_MIN = 3
 BEAT_SPAN_RE = re.compile(
@@ -160,7 +161,7 @@ def coerce_combo(fmt: str | None, structure: str | None) -> tuple[str, str]:
 
 
 def narration_limit(duration: int) -> int:
-    """这一镜旁白的字数上限:秒数 × 3.5,且不超过硬上限 55。"""
+    """这一镜旁白的字数上限:秒数 × 4.5,且不超过硬上限 68。"""
     return max(1, min(NARRATION_CHARS_HARD_CAP, int(duration * NARRATION_CHARS_PER_SECOND)))
 
 

core/backend/apps/ai/services.py

@@ -122,8 +122,14 @@ def public_model_name(model_config: ModelConfig) -> str:
 def resolve_provider_credentials(provider) -> tuple[str | None, str | None]:
     """解析中转站凭证。可插拔顺序:DB(ModelProvider.base_url/api_key)优先 → settings(.env)回退。
     两者都不写死;换站只改 DB 这一行,或改 .env 对应项。"""
-    base_url = (provider.base_url or "").strip() or settings.PROVIDER_BASE_URLS.get(provider.name)
+    name = provider.name
-    api_key = (getattr(provider, "api_key", "") or "").strip() or settings.PROVIDER_KEYS.get(provider.name)
+    base_url = (provider.base_url or "").strip() or settings.PROVIDER_BASE_URLS.get(name)
+    api_key = (getattr(provider, "api_key", "") or "").strip() or settings.PROVIDER_KEYS.get(name)
+    # 官转等 yunqi_gemini_* 变体共用同一把 YunQi Gemini key,避免新 provider 没写进 .env 就落到火山。
+    if not api_key and name.startswith("yunqi_gemini"):
+        api_key = (settings.PROVIDER_KEYS.get("yunqi_gemini") or "").strip()
+    if not base_url and name.startswith("yunqi_gemini"):
+        base_url = (settings.PROVIDER_BASE_URLS.get("yunqi_gemini") or "").strip()
     return (base_url or None), (api_key or None)
 
 
@@ -616,6 +622,8 @@ def execute_routed_text_request(
     request_summary: dict | None = None,
     stream_event_callback=None,
     abort_check=None,
+    allow_retry: bool = True,
+    allow_fallback: bool = True,
 ):
     """文本入口共用的模型调用薄层：能力声明、Provider 调用、输出校验和尝试成本审计。
 
@@ -721,6 +729,8 @@ def execute_routed_text_request(
             internal_kind="processing_failed" if isinstance(exc, _RoutedTextStreamCancelled) else "",
             reference_id=str(task.id),
         ),
+        allow_retry=allow_retry,
+        allow_fallback=allow_fallback,
     )
 
 

core/backend/apps/ai/test_routing_executor.py

@@ -121,6 +121,31 @@ class RoutingExecutorTests(TestCase):
         self.assertEqual([item.is_retry for item in attempts], [False, True])
         self.assertEqual(attempts[1].previous_attempt_id, attempts[0].id)
 
+    def test_allow_retry_false_fails_once_without_fallback(self):
+        primary = self.model(self.provider("exec-no-retry", 100), "primary")
+        candidate = self.model(self.provider("exec-no-retry-unused", 10), "unused")
+        task = self.task(primary, "exec-no-retry")
+        resolver = Mock(return_value=[candidate])
+        calls = []
+
+        def invoke(model, timeout):
+            calls.append(model.id)
+            raise requests.ConnectionError("temporary network failure")
+
+        with self.assertRaises(requests.ConnectionError):
+            self.execute(
+                task=task,
+                primary=primary,
+                invoke=invoke,
+                candidate_resolver=resolver,
+                allow_retry=False,
+                allow_fallback=False,
+            )
+
+        self.assertEqual(calls, [primary.id])
+        resolver.assert_not_called()
+        self.assertEqual(task.model_attempts.count(), 1)
+
     def test_outcome_unknown_never_retries_or_resolves_fallback_candidates(self):
         primary = self.model(self.provider("exec-unknown-primary", 100), "primary")
         candidate = self.model(self.provider("exec-unknown-candidate", 10), "candidate")

core/backend/apps/ai/test_script_duration_combo.py

@@ -284,15 +284,15 @@ class PromptAssemblyTests(SimpleTestCase):
 
 class NarrationLimitTests(SimpleTestCase):
     def test_limit_scales_with_shot_length(self):
-        self.assertEqual(narration_limit(4), 14)
+        self.assertEqual(narration_limit(4), 18)
-        self.assertEqual(narration_limit(8), 28)
+        self.assertEqual(narration_limit(8), 36)
-        self.assertEqual(narration_limit(15), 52)
+        self.assertEqual(narration_limit(15), 67)
 
     def test_never_exceeds_hard_cap(self):
-        self.assertLessEqual(narration_limit(60), 55)
+        self.assertLessEqual(narration_limit(60), 68)
 
-    def test_fifteen_second_floor_is_about_thirty_six(self):
+    def test_fifteen_second_floor_is_about_fifty_four(self):
-        self.assertEqual(narration_floor(15), 36)
+        self.assertEqual(narration_floor(15), 54)
         self.assertLess(narration_floor(15), narration_limit(15))
 
 
@@ -321,7 +321,7 @@ class ShotDensityTests(SimpleTestCase):
         self.assertIn("旁白太短", str(ctx.exception))
 
     def test_oral_meeting_floor_passes(self):
-        narration = "下午三点工位犯困，键盘都敲不利索。我倒了杯茶，第一口是回甘不是苦，整个人才慢慢醒过来。"
+        narration = "下午三点工位犯困，键盘都敲不利索。我以前总是硬扛，越扛脑子越乱。后来会先倒杯热茶，第一口是回甘不是苦，桌上的文件终于能看进去，整个人才慢慢醒过来。"
         self.assertGreaterEqual(len(narration.replace(" ", "")), narration_floor(15))
         self.assertGreaterEqual(len(self._VISUAL.replace(" ", "")), VISUAL_CHARS_MIN)
         assert_shot_density(

core/backend/apps/ai/test_video_digest.py

@@ -7,8 +7,13 @@ from __future__ import annotations
 
 import subprocess
 
+from unittest.mock import patch
+
 from django.core.files.uploadedfile import SimpleUploadedFile
 from django.test import SimpleTestCase, TestCase
+from rest_framework.test import APIClient
+
+from apps.accounts.models import Team, TeamMember, User
 
 from apps.ai.models import ModelConfig, ModelProvider
 from apps.ai.video_digest import (
@@ -174,6 +179,30 @@ class DigestModelPinTests(TestCase):
         self._model(doubao, "doubao-seed-2-0-pro-260215", "豆包 2.0 Pro", is_default=True)
         self.assertIsNone(resolve_digest_model_config())
 
+    def test_honors_preferred_gemini_id(self):
+        relay = self._provider("digest-pin-two", "Gemini")
+        first = self._model(relay, DIGEST_VISION_MODEL_NAME, "Gemini 3.1 Pro")
+        official = self._model(
+            self._provider("digest-pin-official", "官转"),
+            "gemini-3.1-pro-preview-official",
+            "Gemini 3.1 Pro 官转",
+        )
+        self.assertEqual(resolve_digest_model_config(preferred_id=first.id).id, first.id)
+        self.assertEqual(resolve_digest_model_config(preferred_id=official.id).id, official.id)
+
+    def test_ignores_preferred_text_only_model(self):
+        doubao = self._provider("digest-pin-ignore", "火山")
+        text_only = self._model(doubao, "doubao-seed-2-0-pro-260215", "豆包 2.0 Pro", is_default=True)
+        gemini = self._model(self._provider("digest-pin-keep", "官转"), DIGEST_VISION_MODEL_NAME, "Gemini 3.1 Pro 官转")
+        self.assertEqual(resolve_digest_model_config(preferred_id=text_only.id).id, gemini.id)
+
+    def test_ignores_volcano_hosted_gemini_label(self):
+        volcano = self._provider("volcengine", "火山")
+        fake = self._model(volcano, DIGEST_VISION_MODEL_NAME, "Gemini 3.1 Pro 官转", is_default=True)
+        relay = self._model(self._provider("digest-pin-relay-real", "官转"), DIGEST_VISION_MODEL_NAME, "Gemini 3.1 Pro 官转")
+        self.assertEqual(resolve_digest_model_config().id, relay.id)
+        self.assertEqual(resolve_digest_model_config(preferred_id=fake.id).id, relay.id)
+
 
 # --------------------------------------------------------------------------- #
 # helpers
@@ -194,3 +223,64 @@ def _digest_with_duration(clip, duration: float):
 
     with patch("apps.ai.video_digest.probe_duration", return_value=duration):
         return frames_from_upload(clip)
+
+
+class VideoDigestApiTests(TestCase):
+    """视频复刻页独立入口:不绑项目,缺文件直接 400。"""
+
+    def setUp(self):
+        self.user = User.objects.create_user(username="remix-api", password="p")
+        self.team = Team.objects.create(name="Remix", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role=TeamMember.Role.OWNER)
+        self.client = APIClient()
+        self.client.force_authenticate(self.user)
+
+    def test_rejects_missing_file(self):
+        response = self.client.post("/api/ai/video-digest/")
+        self.assertEqual(response.status_code, 400)
+        self.assertIn("视频", response.data["detail"])
+
+    def test_returns_digest_without_project(self):
+        payload = {
+            "text": "【整体结构】\n形式:口播\n" + "【第 1 镜】0-4 秒 · 钩子\n主体:一位女生\n" * 3,
+            "chars": 120,
+            "frames": 4,
+            "duration": 15.0,
+            "task_id": "00000000-0000-0000-0000-000000000001",
+            "estimated_cost": "30",
+        }
+        with patch("apps.ai.video_digest.digest_team_video", return_value=payload):
+            upload = SimpleUploadedFile("ref.mp4", b"x", content_type="video/mp4")
+            response = self.client.post("/api/ai/video-digest/", {"file": upload}, format="multipart")
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(response.data["name"], "ref.mp4")
+        self.assertIn("【第 1 镜】", response.data["text"])
+        self.assertEqual(response.data["duration"], 15.0)
+
+    def test_forwards_model_config_id(self):
+        payload = {
+            "text": "【整体结构】\n形式:口播\n" + "【第 1 镜】0-4 秒 · 钩子\n主体:一位女生\n" * 3,
+            "chars": 120,
+            "frames": 4,
+            "duration": 15.0,
+            "task_id": "00000000-0000-0000-0000-000000000002",
+            "estimated_cost": "30",
+        }
+        with patch("apps.ai.video_digest.digest_team_video", return_value=payload) as mocked:
+            upload = SimpleUploadedFile("ref.mp4", b"x", content_type="video/mp4")
+            response = self.client.post(
+                "/api/ai/video-digest/",
+                {"file": upload, "model_config_id": "abc-123"},
+                format="multipart",
+            )
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(mocked.call_args.kwargs["model_config_id"], "abc-123")
+
+    def test_provider_failure_returns_json_not_500(self):
+        with patch("apps.ai.video_digest.digest_team_video", side_effect=RuntimeError("upstream 402")):
+            upload = SimpleUploadedFile("ref.mp4", b"x", content_type="video/mp4")
+            response = self.client.post("/api/ai/video-digest/", {"file": upload}, format="multipart")
+        self.assertEqual(response.status_code, 502)
+        self.assertIsInstance(response.data["detail"], str)
+        self.assertTrue(response.data["detail"])
+        self.assertEqual(response.data["error"]["operation"], "video_digest")

core/backend/apps/ai/urls.py

@@ -3,6 +3,7 @@ from rest_framework.routers import DefaultRouter
 
 from .views import (
     AITaskViewSet,
+    VideoDigestView,
     FreeVideoDetailView,
     FreeVideoFavoriteView,
     FreeVideoPurgeView,
@@ -23,6 +24,7 @@ router.register("image-conversations", ImageConversationViewSet, basename="image
 
 urlpatterns = [
     path("generate-image/", GenerateImageView.as_view(), name="ai-generate-image"),
+    path("video-digest/", VideoDigestView.as_view(), name="ai-video-digest"),
     path("free-video/", FreeVideoView.as_view(), name="ai-free-video"),
     path("free-video/trash/", FreeVideoTrashView.as_view(), name="ai-free-video-trash"),
     path("free-video/upload/", FreeVideoUploadView.as_view(), name="ai-free-video-upload"),

core/backend/apps/ai/video_digest.py

@@ -17,14 +17,18 @@ from __future__ import annotations
 
 import base64
 import json
+import logging
 import math
 import shutil
 import subprocess
 import tempfile
+import uuid
 from dataclasses import dataclass
 from functools import lru_cache
 from pathlib import Path
 
+logger = logging.getLogger(__name__)
+
 from django.conf import settings
 
 # 上传限制:超了直接 400,不进 ffmpeg,也不花模型钱
@@ -199,13 +203,31 @@ def validate_digest_text(text: str) -> str:
     return cleaned
 
 
-# 拆视频必须会看图。默认文本模型现在常是纯文本豆包,传帧图会直接失败。
+# 拆视频必须会看图。火山豆包直连读不了这组帧图,会在 ARK 上挂满 120s。
-# 钉 Gemini 3.1 Pro;展示名带「官转」的优先(中转站官方 Gemini 通道)。
+# 只认中转站的 Gemini 3.1 Pro;展示名带「官转」的优先。
 DIGEST_VISION_MODEL_NAME = "gemini-3.1-pro-preview"
 
 
-def resolve_digest_model_config():
+def _is_digest_vision_model(model) -> bool:
-    """视频提炼用的多模态文本模型:Gemini 3.1 Pro 官转。找不到不回落默认语言模型。"""
+    from apps.ai.services import OFFICIAL_DIRECT_PROVIDERS
+
+    provider_name = getattr(getattr(model, "provider", None), "name", "") or ""
+    if provider_name in OFFICIAL_DIRECT_PROVIDERS:
+        return False
+    blob = f"{model.name} {model.display_name}".lower()
+    return (
+        model.name == DIGEST_VISION_MODEL_NAME
+        or "gemini-3.1" in blob
+        or "gemini 3.1" in blob
+    )
+
+
+def resolve_digest_model_config(preferred_id=None):
+    """视频提炼用的多模态文本模型:Gemini 3.1 Pro 官转。找不到不回落默认语言模型。
+
+    前端可传 model_config_id(跟生成脚本同一套下拉)。只有会看图的 Gemini 3.1 才认,
+    选了豆包等纯文本模型仍钉回官转,避免拆帧直接失败。
+    """
     from apps.ai.models import ModelConfig
 
     qs = (
@@ -216,6 +238,10 @@ def resolve_digest_model_config():
             provider__status="active",
         )
     )
+    if preferred_id:
+        chosen = qs.filter(pk=preferred_id).first()
+        if chosen is not None and _is_digest_vision_model(chosen):
+            return chosen
 
     def _blob(model) -> str:
         return " ".join(
@@ -232,11 +258,9 @@ def resolve_digest_model_config():
 
     ranked = []
     for model in qs:
-        blob = _blob(model)
+        if not _is_digest_vision_model(model):
-        name_hit = "gemini-3.1" in model.name.lower() or "gemini-3.1" in (model.display_name or "").lower()
-        label_hit = "gemini 3.1" in (model.display_name or "").lower()
-        if not (name_hit or label_hit or model.name == DIGEST_VISION_MODEL_NAME):
             continue
+        blob = _blob(model)
         # 官转 > 精确模型名 > 其它 Gemini 3.1
         score = 0
         if "官转" in blob:
@@ -255,44 +279,99 @@ def resolve_digest_model_config():
 # --------------------------------------------------------------------------- #
 # 入口:一次真实的计费调用
 # --------------------------------------------------------------------------- #
-def digest_project_video(*, project, user, upload) -> dict:
+def digest_project_video(*, project, user, upload, model_config_id=None) -> dict:
+    """上传视频 → 分镜稿。抽帧在建任务之前做,文件不合格不占积分。"""
+    product = getattr(project, "product", None)
+    return _digest_video(
+        team=project.team,
+        user=user,
+        upload=upload,
+        project=project,
+        product_hint=" · ".join(
+            filter(None, [getattr(product, "title", ""), getattr(product, "category", "")])
+        ),
+        model_config_id=model_config_id,
+    )
+
+
+def digest_team_video(*, team, user, upload, model_config_id=None) -> dict:
+    """视频复刻页:不绑项目,计费挂当前团队。"""
+    return _digest_video(
+        team=team,
+        user=user,
+        upload=upload,
+        project=None,
+        product_hint="",
+        model_config_id=model_config_id,
+    )
+
+
+def _digest_video(*, team, user, upload, project=None, product_hint="", model_config_id=None) -> dict:
     """上传视频 → 分镜稿。抽帧在建任务之前做,文件不合格不占积分。"""
     from django.db import transaction
     from django.utils import timezone
 
     from apps.ai.models import AITask
     from apps.ai.services import create_ai_task, execute_routed_text_request
-    from apps.billing.services.ledger import charge_reserved_credit
+    from apps.billing.pricing import quote_flat
+    from apps.billing.services.ledger import charge_reserved_credit, reserve_credit
 
     frames, duration = frames_from_upload(upload)
 
-    model_config = resolve_digest_model_config()
+    model_config = resolve_digest_model_config(preferred_id=model_config_id)
     if model_config is None:
         raise VideoDigestError("视频提炼需要 Gemini 3.1 Pro(会看图),当前没有启用,请联系管理员")
-
+    logger.info(
-    product = getattr(project, "product", None)
+        "video digest using %s:%s (%s)",
-    messages = build_digest_messages(
+        model_config.provider.name,
-        frames,
+        model_config.name,
-        duration,
+        model_config.display_name,
-        product_hint=" · ".join(
-            filter(None, [getattr(product, "title", ""), getattr(product, "category", "")])
-        ),
     )
 
-    task = create_ai_task(
+    messages = build_digest_messages(frames, duration, product_hint=product_hint)
-        project=project,
+    request_payload = {
-        user=user,
+        "model": model_config.name,
-        task_type=AITask.Type.VIDEO_DIGEST,
+        "endpoint": model_config.endpoint,
-        model_config=model_config,
+        "feature": "video_remix" if project is None else "video_digest",
-        # 帧是几百 KB base64,绝不进 request_payload(会把 AITask 表撑爆),只记形状
+        "duration_seconds": round(duration, 2),
-        request_payload={
+        "frame_count": len(frames),
-            "model": model_config.name,
+        "frame_times": [f.at_seconds for f in frames],
-            "endpoint": model_config.endpoint,
+    }
-            "duration_seconds": round(duration, 2),
+
-            "frame_count": len(frames),
+    if project is not None:
-            "frame_times": [f.at_seconds for f in frames],
+        task = create_ai_task(
-        },
+            project=project,
-    )
+            user=user,
+            task_type=AITask.Type.VIDEO_DIGEST,
+            model_config=model_config,
+            # 帧是几百 KB base64,绝不进 request_payload(会把 AITask 表撑爆),只记形状
+            request_payload=request_payload,
+        )
+    else:
+        quote = quote_flat(model_config, team=team)
+        if quote.meta.get("rate"):
+            request_payload = {**request_payload, "points_per_yuan_snapshot": quote.meta["rate"]}
+        try:
+            with transaction.atomic():
+                task = AITask.objects.create(
+                    team=team,
+                    created_by=user,
+                    project=None,
+                    task_type=AITask.Type.VIDEO_DIGEST,
+                    status=AITask.Status.CREATED,
+                    model_config=model_config,
+                    idempotency_key=f"video_digest:{team.id}:{uuid.uuid4()}",
+                    request_payload=request_payload,
+                    estimated_cost=quote.points,
+                    base_cost=quote.base_cost_yuan,
+                )
+                reserve_credit(team=team, user=user, task=task, amount=quote.points)
+                task.status = AITask.Status.RESERVED
+                task.save(update_fields=["status", "updated_at"])
+        except ValueError as exc:
+            if "insufficient credit" in str(exc).lower():
+                raise VideoDigestError("团队余额不足，请充值后重试") from exc
+            raise VideoDigestError(str(exc)) from exc
     reservation = task.credit_reservation
     try:
         task.status = AITask.Status.SUBMITTED
@@ -302,12 +381,14 @@ def digest_project_video(*, project, user, upload) -> dict:
             task=task,
             primary_model=model_config,
             messages=messages,
-            streaming=False,
+            streaming=True,
             structured_output=False,
             business_operation="video_digest",
             temperature=0.4,
             validate_text=validate_digest_text,
             request_summary={"duration_seconds": round(duration, 2), "frame_count": len(frames)},
+            allow_retry=False,
+            allow_fallback=False,
         )
         _text, _response, digest = routed.value
     except Exception as exc:  # noqa: BLE001
@@ -328,6 +409,7 @@ def digest_project_video(*, project, user, upload) -> dict:
         "frames": len(frames),
         "duration": round(duration, 1),
         "task_id": str(task.id),
+        "estimated_cost": str(task.estimated_cost),
     }
 
 

core/backend/apps/ai/views.py

@@ -1,3 +1,4 @@
+import logging
 import uuid
 
 from django.db import transaction
@@ -27,6 +28,8 @@ from .serializers import (
 )
 from .services import enqueue_standalone_images
 
+logger = logging.getLogger(__name__)
+
 
 class GenerateImageView(APIView):
     """独立生图(不绑项目)· 图片创作/模特图/平台套图共用 —— **异步**。
@@ -693,6 +696,40 @@ def _set_free_video_generated_assets_deleted(task, deleted):
     Asset.objects.filter(team=task.team, origin_task=task, purged_at__isnull=True).update(is_deleted=deleted)
 
 
+class VideoDigestView(APIView):
+    """视频复刻 · 上传参考视频提炼分镜稿(不绑项目)。
+
+    POST /api/ai/video-digest/  multipart file → 中文分镜稿。慢(30~60 秒),计一次文本费。
+    """
+
+    parser_classes = [MultiPartParser, FormParser]
+
+    def post(self, request):
+        from .video_digest import VideoDigestError, digest_team_video
+
+        upload = request.FILES.get("file") or request.data.get("file")
+        if upload is None:
+            return Response({"detail": "请先上传参考视频"}, status=status.HTTP_400_BAD_REQUEST)
+        team = get_current_team(request.user)
+        try:
+            result = digest_team_video(
+                team=team,
+                user=request.user,
+                upload=upload,
+                model_config_id=request.data.get("model_config_id") or None,
+            )
+        except VideoDigestError as exc:
+            return Response({"detail": str(exc)}, status=status.HTTP_400_BAD_REQUEST)
+        except Exception as exc:  # noqa: BLE001 — 模型/网络失败:走统一安全文案
+            logger.exception("video digest failed")
+            public_error = classify_generation_error(exc, operation="video_digest")
+            return Response(
+                {"detail": public_error.fallback_message, "error": public_error.as_dict()},
+                status=status.HTTP_502_BAD_GATEWAY,
+            )
+        return Response({"name": getattr(upload, "name", "") or "参考视频", **result})
+
+
 class FreeVideoView(APIView):
     """自由创作·视频生成(不绑项目,universal 全能参考 / keyframe 首尾帧)。
 

core/backend/apps/projects/views.py

@@ -1372,12 +1372,20 @@ class ProjectViewSet(TeamScopedViewSetMixin, ModelViewSet):
         if upload is None:
             return Response({"detail": "no file uploaded"}, status=status.HTTP_400_BAD_REQUEST)
         try:
-            result = digest_project_video(project=project, user=request.user, upload=upload)
+            result = digest_project_video(
+                project=project,
+                user=request.user,
+                upload=upload,
+                model_config_id=request.data.get("model_config_id") or None,
+            )
         except VideoDigestError as exc:
             return Response({"detail": str(exc)}, status=status.HTTP_400_BAD_REQUEST)
         except Exception as exc:  # noqa: BLE001 — 模型/网络失败:走统一安全文案,不回传原始异常
             public_error = classify_generation_error(exc, operation="video_digest")
-            return Response(public_error, status=status.HTTP_502_BAD_GATEWAY)
+            return Response(
+                {"detail": public_error.fallback_message, "error": public_error.as_dict()},
+                status=status.HTTP_502_BAD_GATEWAY,
+            )
         return Response({"name": getattr(upload, "name", "") or "参考视频", **result})
 
     @action(detail=True, methods=["post"], url_path="upload-bgm", parser_classes=[MultiPartParser, FormParser])

core/backend/skills/ecommerce-video-script/SKILL.md

@@ -59,7 +59,7 @@ description: >
       "index": 0,
       "duration": 15,
       "role": "钩子|痛点|卖点|CTA",
-      "narration": "这一镜被说出来的台词/旁白,15秒口播目标38-47字(下限36,上限52)",
+  "narration": "这一镜被说出来的台词/旁白,15秒口播目标55-63字(下限54,上限67)",
       "speaker": "可选,指向某 entity 的 id;画外旁白时为 null",
       "visual": "0-3s：近景，……\\n3-8s：手持跟拍，开始使用商品\\n8-12s：特写，商品用法过程\\n12-15s：拉回中近景，使用后的反应",
       "product_exposure": "商品露出方式(手持/特写/使用中)",
@@ -117,8 +117,8 @@ description: >
 
 详见 `references/methodology.md`「旁白红线」。最关键的几条：
 - **口语化**，像真人对着镜头说话，不准书面腔 / AI 腔。
-- **口播 15 秒镜要说满**：`narration` **36–52 字**（写作目标 **38–47 字，2–4 句短句**）。
+- **口播 15 秒镜要说满**：`narration` **54–67 字**（写作目标 **55–63 字，3–5 句短句**）。
-  上限仍是 `duration × 3.5` 且不超过 55 字。禁止一句 20 字收工。
+  上限为 `duration × 4.5` 且不超过 68 字。禁止一句 20 字收工。
   商品名全片点名 1–2 次即可，其余镜用卖点原词和可感知细节（口感/气味/动作/使用场景）。
   Vlog 才允许个别镜纯画面；口播禁止整镜无声。
 - **禁违规词**：医疗功效（治疗/根治/抗癌…）、绝对化用语（最/第一/100%/国家级…）一律不写。
@@ -182,7 +182,7 @@ description: >
 4. **抽取/创建 entities** — 识别脚本需要的角色 / 场景 / 商品；为每个 entity 写一份**全脚本共用**的 `visual_prompt`（保证多镜同一角色同一张脸）；可选写 `voice_ref` 锁音色。
 5. **按套路填结构** — 优先用视频结构套路里的骨架给每个 segment 分配 `role`；
    套路没覆盖到的用「role 按镜数分配」表兜底；钩子镜套用该套路指定的钩子写法。
-6. **写 narration / visual / 商品露出** — 口播 15 秒镜旁白 38–47 字（下限 36）、口语化、过红线；
+6. **写 narration / visual / 商品露出** — 口播 15 秒镜旁白 55–63 字（下限 54）、口语化、过红线；
    **visual 按秒拆成 3–5 条分镜**；必须把输入给出的卖点原词和商品描述细节写进旁白或对白，不要每句只重复商品名；
    发声方式按表现形式套路来；每镜规划自然的 `product_exposure`。
 7. **连引用** — 填 `entity_refs` 与 `speaker`，确认每个 entity 都被引用、id 都合法。

core/backend/skills/ecommerce-video-script/references/checklist.md

@@ -46,8 +46,8 @@
 
 ## C. 旁白红线扫描（逐镜）
 
-- [ ] **每镜 `narration` ≤ `duration × 3.5` 字，且绝不超过 55 字**（15 秒镜 ≤52 字）。
+- [ ] **每镜 `narration` ≤ `duration × 4.5` 字，且绝不超过 68 字**（15 秒镜 ≤67 字）。
-- [ ] **口播 15 秒镜旁白 ≥ 36 字**（写作目标 38–47 字，2–4 句）。禁止一句 20 字收工；口播禁止整镜无声。
+- [ ] **口播 15 秒镜旁白 ≥ 54 字**（写作目标 55–63 字，3–5 句）。禁止一句 20 字收工；口播禁止整镜无声。
 - [ ] **秒级分镜**：每镜 `visual` 至少 3 条 `0-3s：景别，动作`，从 0 接到 15s；15 秒内至少切两次景别。
 - [ ] **商品原词**：旁白/对白出现了输入给出的至少一个勾选卖点原词；商品名全片点名 1–2 次即可，其余镜写描述/卖点细节，没有用空话替换。
 - [ ] 每镜 `visual` 能撑满 15 秒（至少 72 字），写清手/商品/容器的空间关系和真实用法，不是一句静态动作。

core/backend/skills/ecommerce-video-script/references/methodology.md

@@ -96,8 +96,8 @@
 - **口语化**：像真人对着镜头唠嗑，不准书面腔 / 不准 AI 腔（"综上所述""不仅…而且""值得一提的是"全禁）。
 - **必须用商品原词**：输入给了商品名、品牌、卖点，就用这些词，不许改成「补水/好用/值得买」这种空卖点。品类示例句只是语气参考。
 - **`narration` 字数按这一镜的秒数算**：出片模型在镜内直接发声。
-  可懂语速上限约 **3.5 字 / 秒**，口播下限约 **2.4 字 / 秒**（再短镜头空一半）。
+  可懂语速上限约 **4.5 字 / 秒**，口播下限约 **3.6 字 / 秒**（再短镜头空一半）。
-  **每镜上限 `duration × 3.5` 字，且不超过 55 字。口播 15 秒镜还有下限 36 字。**
+  **每镜上限 `duration × 4.5` 字，且不超过 68 字。口播 15 秒镜还有下限 54 字。**
 
   | 单镜时长 | 下限 | 字数上限 | 写作目标 |
   | ---- | ---- | ---- | ---- |
@@ -107,7 +107,7 @@
   | 8 秒 | — | 28 字 | ≤ 25 字 |
   | 10 秒 | — | 35 字 | ≤ 31 字 |
   | 12 秒 | — | 42 字 | ≤ 38 字 |
-  | 15 秒 | **36 字** | 52 字 | **38–47 字，2–4 句** |
+  | 15 秒 | **54 字** | 67 字 | **55–63 字，3–5 句** |
 
   主流程每镜都是 15 秒：**要说满，不要宁可短。** 一句 20 字撑不满镜头。
   留白靠句间停顿和画面，不靠少写字。只有 Vlog 才允许个别镜纯画面无声。

core/backend/skills/ecommerce-video-script/references/playbooks/format-drama.md

@@ -53,7 +53,7 @@
 
 - **单镜固定 15 秒**（短剧用镜内动作和对白交换撑满这 15 秒，不要靠切很多短镜）
 - 一镜一次冲突或一次对话交换，**别在一镜里塞完整三幕**
-- 有对白的镜，每句 `line` ≤ 25 字（两个人说话，总量还是受 55 字限制）
+- 有对白的镜，每句 `line` ≤ 25 字（两个人说话，总量还是受 68 字限制）
 
 **推荐总时长 45 秒（3 镜）。** 短剧需要装下三幕，低于 30 秒会讲不完整；
 超过 60 秒在电商场景下性价比开始下降。

core/backend/skills/ecommerce-video-script/references/playbooks/format-oral.md

@@ -52,7 +52,7 @@
 - **单镜固定 15 秒**（口播里说完一个完整意思需要时间；15 秒靠景别切换和手部动作撑满，不要切碎）
 - 一句话讲一件事，**一镜 2–4 句短句**，禁止一句收工
 - **visual 按秒拆 3–5 刀**，写成 `0-3s：近景……` / `3-8s：手持……` / `8-12s：特写……` / `12-15s：拉回……`
-- 语速按 **2.4–3.5 字 / 秒** 估：15 秒镜 **36–52 字**，写作目标 **38–47 字**
+- 语速按 **3.6–4.5 字 / 秒** 估：15 秒镜 **54–67 字**，写作目标 **55–63 字**
 
 **推荐总时长 30 秒（2 镜）。** 口播超过 45 秒完播率掉得很快，除非是测评验证这种
 需要举证的结构。

core/frontend/src/App.tsx

@@ -29,6 +29,7 @@ import {
   AuthScreen,
   Dashboard,
   FreeCreatePage,
+  VideoRemixPage,
   ImageWorkbenchPage,
   LibraryPage,
   MessagesPage,
@@ -1045,6 +1046,8 @@ export function App() {
         return <AssetFactoryPage navigate={navigate} />;
       case "freeCreate":
         return <FreeCreatePage modelConfigs={modelConfigs} onNotify={(type, text) => setNotice({ type, text })} onTaskSettled={refreshFreeCreateShell} onBack={() => goBack("projects")} />;
+      case "videoRemix":
+        return <VideoRemixPage textModels={modelConfigs.filter((m) => m.capability === "text" && m.status === "active")} onNotify={(type, text) => setNotice({ type, text })} onBack={() => goBack("projects")} navigate={navigate} />;
       case "imageOptimize":
         return <ImageWorkbenchPage mode="image" products={products} modelConfigs={modelConfigs} imageProductId={route.productId} initialProductId={activeProductId} onProductChange={setActiveProductId} unreadByProduct={aiUnreadByProduct} onProductViewed={markAiRead} onBack={() => goBack("assetFactory")} navigate={navigate} onGenerate={generateImages} onResume={resumeImages} onNotify={(type, text) => setNotice({ type, text })} />;
       case "modelPhoto":

core/frontend/src/api.ts

@@ -348,6 +348,13 @@ export const api = {
       { method: "POST", body: formData }
     );
   },
+  // 视频复刻页:不绑项目,抽帧 + 多模态读帧出中文分镜稿。慢(30~60 秒),计一次文本费。
+  extractVideoDigest(formData: FormData) {
+    return request<{ name: string; chars: number; text: string; frames: number; duration: number; estimated_cost?: string }>(
+      "/api/ai/video-digest/",
+      { method: "POST", body: formData }
+    );
+  },
   // ── 套路模板(5.1 存 / 5.2 换商品重跑)· 团队隔离 ──
   // 存模板只抽套路不抽文案:后端从这版脚本抽镜数/每镜作用/节奏/商品露出/转化写法。
   saveProjectAsTemplate(projectId: string, payload: { name: string; script_version_id?: string }) {

core/frontend/src/components/app-shell.tsx

@@ -16,6 +16,7 @@ const SHELL_COMMANDS: Command[] = [
   { id: "projects", group: "导航", label: "视频创作", sub: "从商品或参考视频出发，选择生产方式", page: "projects", icon: "clapperboard", key: "V" },
   { id: "asset-factory", group: "导航", label: "图片生成", sub: "模特上身图、平台套图、图片创作", page: "assetFactory", icon: "sparkles", key: "I" },
   { id: "free-create", group: "导航", label: "自由创作", sub: "AI 视频生成 · 全能参考 / 首尾帧", page: "freeCreate", icon: "film", key: "F" },
+  { id: "video-remix", group: "导航", label: "视频复刻", sub: "上传参考视频，拆解镜头并生成提示词", page: "videoRemix", icon: "scan", key: "R" },
   { id: "library", group: "导航", label: "成品库", sub: "素材、人物、场景、成片统一管理", page: "library", icon: "folder", key: "A" },
   { id: "team", group: "导航", label: "团队", sub: "成员、权限、额度、协作记录", page: "team", icon: "users" },
   { id: "account", group: "导航", label: "账单库", sub: "余额、充值、账单流水", page: "account", icon: "creditCard" },
@@ -269,7 +270,7 @@ export function topModuleForPage(page: Page): TopModule | null {
     || page === "modelPhotoDemoB"
     || page === "platformCover"
   ) return "image";
-  if (page === "projects" || page === "projectWizard" || page === "pipeline" || page === "freeCreate") return "video";
+  if (page === "projects" || page === "projectWizard" || page === "pipeline" || page === "freeCreate" || page === "videoRemix") return "video";
   return null;
 }
 
@@ -399,6 +400,7 @@ const PAGE_TO_NAV: Partial<Record<Page, Page>> = {
   modelPhotoDemoB: "assetFactory",
   platformCover: "assetFactory",
   freeCreate: "freeCreate",
+  videoRemix: "projects",
   library: "library",
   team: "team",
   account: "account",

core/frontend/src/components/free-create/generation-card.tsx

@@ -5,11 +5,6 @@ import type { FreeVideoTask } from "../../types";
 import { MODE_LABELS, STATUS_LABELS, isInFlight, modelLabel } from "./constants";
 import { isPublicGenerationError, presentGenerationError } from "../../generation-error";
 
-function ratioStyle(ratio: string) {
-  const [w, h] = ratio.split(":").map(Number);
-  return { aspectRatio: w && h ? `${w} / ${h}` : "16 / 9" };
-}
-
 function ratioCopy(ratio: string) {
   const [w, h] = ratio.split(":").map(Number);
   if (!w || !h) return ratio;
@@ -45,7 +40,6 @@ export function GenerationCard({ task, progress, onOpen, onRetry, onToggleFavori
     <article className={`fc-card${done ? " done" : ""}`}>
       <div
         className="fc-card-media"
-        style={ratioStyle(task.aspect_ratio)}
         role={done ? "button" : undefined}
         tabIndex={done ? 0 : undefined}
         onClick={done ? onOpen : undefined}

core/frontend/src/free-create-page.css

@@ -120,12 +120,12 @@
   display: grid;
   place-items: center;
 }
-.fc-page .fc-stage:has(.fc-empty) {
+.fc-page .fc-stage:has(.fc-empty:not(.is-soft)) {
   display: grid;
   place-items: center;
   overflow: hidden;
 }
-.fc-page .fc-stage:has(.fc-empty)::before {
+.fc-page .fc-stage:has(.fc-empty:not(.is-soft))::before {
   content: "";
   position: absolute;
   inset: 5% 7%;
@@ -165,11 +165,60 @@
   font-size: 13px;
 }
 
+.fc-page .fc-feedbar {
+  display: flex;
+  flex-wrap: wrap;
+  gap: 7px;
+  flex-shrink: 0;
+  margin-bottom: 14px;
+}
+.fc-page .fc-filter {
+  height: 30px;
+  padding: 0 11px;
+  border: 0;
+  border-radius: 8px;
+  color: var(--fc-muted);
+  background: rgba(34, 42, 54, 0.055);
+  font: inherit;
+  font-size: 12px;
+  cursor: pointer;
+  display: inline-flex;
+  align-items: center;
+  gap: 6px;
+}
+.fc-page .fc-filter span {
+  font-variant-numeric: tabular-nums;
+  opacity: 0.72;
+}
+.fc-page .fc-filter:hover {
+  color: var(--accent-black);
+  background: rgba(34, 42, 54, 0.10);
+}
+.fc-page .fc-filter.active {
+  color: #fff;
+  background: var(--fc-black);
+}
+.fc-page .fc-group + .fc-group { margin-top: 28px; }
+.fc-page .fc-group-h {
+  display: flex;
+  align-items: center;
+  gap: 8px;
+  margin-bottom: 12px;
+  font-size: 13px;
+  font-weight: 600;
+  color: var(--accent-black);
+}
+.fc-page .fc-group-h span {
+  font-weight: 400;
+  color: var(--fc-muted);
+  font-variant-numeric: tabular-nums;
+}
+
 .fc-page .fc-feed {
   display: grid;
-  grid-template-columns: repeat(auto-fill, minmax(240px, 1fr));
+  grid-template-columns: repeat(4, minmax(0, 1fr));
   gap: 18px;
-  align-items: start;
+  align-items: stretch;
   padding-bottom: 8px;
 }
 .fc-page .fc-sentinel {
@@ -181,6 +230,8 @@
 
 .fc-page .fc-card {
   overflow: hidden;
+  min-width: 0;
+  height: 100%;
   border: 1px solid var(--fc-line);
   border-radius: 13px;
   background: rgba(34, 42, 54, 0.05);
@@ -196,12 +247,14 @@
 }
 .fc-page .fc-card-media {
   position: relative;
+  width: 100%;
+  aspect-ratio: 16 / 10;
   background: #e5e6e9;
-  max-height: 280px;
   display: flex;
   align-items: center;
   justify-content: center;
   overflow: hidden;
+  flex: 0 0 auto;
 }
 .fc-page .fc-card-media video { width: 100%; height: 100%; object-fit: cover; display: block; }
 .fc-page .fc-dur {
@@ -314,15 +367,18 @@
 .fc-page .fc-hover-btn:hover { color: var(--accent-black); }
 .fc-page .fc-hover-btn.fav { color: var(--klein); }
 .fc-page .fc-hover-btn.danger:hover { color: var(--accent-crimson); }
-.fc-page .fc-card-meta { padding: 15px 16px 17px; }
+.fc-page .fc-card-meta { padding: 15px 16px 17px; flex: 1 1 auto; }
 .fc-page .fc-card-meta h3 {
   margin: 0 0 6px;
+  min-height: calc(1.35em * 2);
   font-size: 15px;
   font-weight: 600;
+  line-height: 1.35;
   color: var(--accent-black);
-  white-space: nowrap;
+  display: -webkit-box;
+  -webkit-line-clamp: 2;
+  -webkit-box-orient: vertical;
   overflow: hidden;
-  text-overflow: ellipsis;
 }
 .fc-page .fc-card-meta p {
   margin: 0;
@@ -979,9 +1035,13 @@
 .fc-lib-model-picks .btn { height: 24px; padding: 0 8px; font-size: 11.5px; }
 .fc-lib-more { display: flex; justify-content: center; padding-top: 14px; }
 
+@media (max-width: 1500px) {
+  .fc-page .fc-feed { grid-template-columns: repeat(3, minmax(0, 1fr)); }
+}
 @media (max-width: 1100px) {
   .fc-page .fc-head { flex-direction: column; align-items: stretch; }
   .fc-page .fc-material .fc-ghost { min-width: 0; }
+  .fc-page .fc-feed { grid-template-columns: repeat(2, minmax(0, 1fr)); }
 }
 @media (max-width: 720px) {
   .fc-page .fc-feed { grid-template-columns: 1fr; }

core/frontend/src/main.tsx

@@ -14,6 +14,7 @@ import "./messages-page.css";
 import "./settings-page.css";
 import "./ai-tools-page.css";
 import "./free-create-page.css";
+import "./video-remix-page.css";
 import "./product-create-page.css";
 import "./project-wizard-page.css";
 import "./admin-page.css";

core/frontend/src/pipeline-page.css

@@ -1547,10 +1547,10 @@
   .tri-cand-card .tri-cand-foot .mono { font-family: var(--font-mono); font-size: 12px; color: var(--black-alpha-48); }
   /* ── 流程步骤4 · 人物/场景详情弹窗(对齐设计稿 asset-detail-grid)── */
   .asset-modal-h .ad-tag { font-family: var(--font-mono); font-size: 12px; color: var(--black-alpha-48); letter-spacing: .02em; }
-  .asset-detail-grid { display: grid; grid-template-columns: 320px 1fr; gap: 24px; }
+  .asset-detail-grid { display: flex; align-items: flex-start; gap: 24px; width: 100%; min-width: 0; }
-  .asset-detail-lead { display: flex; flex-direction: column; gap: 10px; }
+  .asset-detail-lead { display: flex; flex-direction: column; gap: 10px; flex: 0 1 240px; width: 240px; max-width: 34%; min-width: 0; }
-  .asset-detail-lead .ad-lead-wrap { position: relative; }
+  .asset-detail-lead .ad-lead-wrap { position: relative; width: 100%; min-width: 0; overflow: hidden; }
-  .asset-detail-lead .placeholder.ad-lead-img { aspect-ratio: 9/16; border-radius: var(--r-md); }
+  .asset-detail-lead .placeholder.ad-lead-img { width: 100%; max-width: 100%; min-width: 0; aspect-ratio: 9/16; max-height: min(420px, 48vh); height: auto; box-sizing: border-box; border-radius: var(--r-md); }
   .ad-zoom-btn { position: absolute; right: 8px; bottom: 8px; width: 32px; height: 32px; padding: 0; background: rgba(21,20,15,.7); color: #fff; border: 0; border-radius: var(--r-sm); display: grid; place-items: center; cursor: pointer; opacity: 0; transition: opacity var(--t-base), background var(--t-base); z-index: 3; }
   .ad-zoom-btn:hover { background: rgba(21,20,15,.92); }
   .ad-zoom-btn svg { width: 14px; height: 14px; }
@@ -1570,7 +1570,8 @@
   .asset-detail-section-h .ad-icon-btn:hover { background: var(--heat); color: var(--accent-white); border-color: var(--heat); }
   .asset-detail-section-h .ad-icon-btn svg { width: 12px; height: 12px; }
   .asset-detail-section-h .ad-icon-gap { margin-left: 8px; }
-  .asset-detail-tri-row .placeholder { aspect-ratio: 16 / 9; border-radius: var(--r-md); }
+  .asset-detail-tri-row { width: 100%; min-width: 0; }
+  .asset-detail-tri-row .placeholder { width: 100%; max-width: 100%; min-width: 0; aspect-ratio: 16 / 9; box-sizing: border-box; border-radius: var(--r-md); }
   .asset-detail-tri-row .placeholder.missing { display: grid; place-items: center; border: 1px dashed var(--border-faint); background: var(--background-lighter); color: var(--black-alpha-48); font-family: var(--font-mono); font-size: 12px; padding: 12px; text-align: center; gap: 8px; }
   .md-view-versions { display: flex; gap: 6px; overflow-x: auto; padding: 2px; margin-top: 8px; }
   .md-view-versions .v-thumb { flex: 0 0 auto; width: 72px; aspect-ratio: 16/9; background: var(--background-lighter); border: 1px solid var(--border-faint); border-radius: var(--r-sm); position: relative; cursor: pointer; display: grid; place-items: center; overflow: hidden; transition: border-color var(--t-base); }
@@ -1578,13 +1579,16 @@
   .md-view-versions .v-thumb.active { border-color: var(--heat); border-width: 2px; box-shadow: 0 0 0 2px var(--heat-12); }
   .md-view-versions .v-thumb .v { font-family: var(--font-mono); font-size: 10px; color: var(--black-alpha-56); letter-spacing: .02em; }
   .md-view-versions .v-thumb.active .v { color: var(--heat); font-weight: 600; }
-  .asset-detail-tip { margin-top: 10px; padding: 10px 12px; background: var(--heat-12); border: 1px solid var(--heat-20); border-radius: var(--r-sm); font-size: 12px; color: var(--accent-black); display: flex; align-items: center; gap: 8px; line-height: 1.5; }
+  .asset-detail-tip { margin-top: 10px; padding: 10px 12px; background: var(--heat-12); border: 1px solid var(--heat-20); border-radius: var(--r-sm); font-size: 12px; color: var(--accent-black); display: flex; align-items: center; flex-wrap: wrap; gap: 8px; line-height: 1.5; min-width: 0; }
   .asset-detail-tip svg { width: 14px; height: 14px; color: var(--heat); flex-shrink: 0; }
+  .asset-detail-tip span { min-width: 0; flex: 1 1 160px; }
   .asset-detail-tip .ai-gen-btn { margin-left: auto; height: 26px; padding: 0 10px; background: var(--heat); color: var(--accent-white); border: 1px solid var(--heat); border-radius: var(--r-sm); font-size: 12px; cursor: pointer; font-family: inherit; flex-shrink: 0; }
   .asset-modal-f .ad-foot-stats { display: flex; gap: 6px; margin-right: auto; }
   .asset-modal-f .ad-stat-btn { height: 32px; padding: 0 12px; display: inline-flex; align-items: center; gap: 6px; background: transparent; border: 1px solid var(--border-faint); border-radius: var(--r-sm); color: var(--black-alpha-72); font-size: 12px; font-family: inherit; cursor: pointer; transition: background var(--t-base), color var(--t-base), border-color var(--t-base); }
   .asset-modal-f .ad-stat-btn:hover { background: var(--background-lighter); color: var(--accent-black); }
   .asset-modal-f .ad-stat-btn svg { width: 13px; height: 13px; }
+  .asset-detail-lead { flex: 0 1 240px; width: 240px; max-width: 34%; min-width: 0; contain: inline-size; }
+  .asset-detail-right { flex: 1 1 0%; min-width: min(280px, 52%); overflow: hidden; }
   /* 固定大小、不可拖拽(对齐设计稿:描述角色立绘的提示词栏固定) */
   .ad-detail-prompt { width: 100%; font-family: var(--font-mono); font-size: 12px; line-height: 1.6; color: var(--black-alpha-72); background: var(--background-base); border: 1px solid var(--border-faint); border-radius: var(--r-sm); padding: 10px 12px; outline: none; resize: none; height: 88px; transition: border-color var(--t-base), background var(--t-base), box-shadow var(--t-base); }
   /* 版本缩略图(非 .placeholder,需自己接 --mock-media-url 才显图) */
@@ -1631,11 +1635,15 @@
   background: var(--surface);
   border: 1px solid var(--border-faint);
   border-radius: 12px;
-  width: min(960px, 100%);
+  width: 960px;
+  max-width: calc(100vw - 48px);
   max-height: calc(100vh - 48px);
+  max-height: calc(100dvh - 48px);
   overflow: hidden;
   display: flex;
   flex-direction: column;
+  min-width: 0;
+  box-sizing: border-box;
   box-shadow: 0 16px 48px rgba(0, 0, 0, 0.18);
 }
 .asset-modal-h {
@@ -1673,19 +1681,57 @@
   margin-left: auto;
 }
 .asset-modal-h .x:hover { background: var(--black-alpha-08); color: var(--accent-black); }
-.asset-modal-body { padding: 20px 24px 24px; overflow-y: auto; flex: 1; min-height: 0; }
+.asset-modal-body { padding: 20px 24px 24px; overflow-x: hidden; overflow-y: auto; flex: 1 1 auto; min-width: 0; min-height: 0; }
 .asset-modal-f {
   padding: 14px 20px;
   border-top: 1px solid var(--border-faint);
   display: flex;
   align-items: center;
+  flex-wrap: wrap;
   gap: 8px;
   flex-shrink: 0;
 }
-.asset-detail-grid { display: grid; grid-template-columns: 280px minmax(0, 1fr); gap: 24px; align-items: start; }
+.asset-detail-grid {
-.asset-detail-lead { display: flex; flex-direction: column; gap: 10px; }
+  display: flex;
-.asset-detail-lead .ad-lead-wrap { position: relative; }
+  align-items: flex-start;
-.asset-detail-lead .placeholder.ad-lead-img { aspect-ratio: 9/16; border-radius: var(--r-md); }
+  gap: 24px;
+  width: 100%;
+  min-width: 0;
+}
+.asset-detail-lead {
+  display: flex;
+  flex-direction: column;
+  gap: 10px;
+  flex: 0 1 240px;
+  width: 240px;
+  max-width: 34%;
+  min-width: 0;
+  contain: inline-size;
+}
+.asset-detail-right {
+  flex: 1 1 0%;
+  min-width: min(280px, 52%);
+  overflow: hidden;
+}
+.asset-detail-lead .ad-lead-wrap {
+  position: relative;
+  width: 100%;
+  min-width: 0;
+  overflow: hidden;
+}
+.asset-detail-lead .placeholder.ad-lead-img {
+  width: 100%;
+  max-width: 100%;
+  min-width: 0;
+  aspect-ratio: 9 / 16;
+  max-height: min(420px, 48vh);
+  height: auto;
+  box-sizing: border-box;
+  border-radius: var(--r-md);
+}
+@supports not (aspect-ratio: 9 / 16) {
+  .asset-detail-lead .placeholder.ad-lead-img { height: min(420px, 48vh); }
+}
 .ad-zoom-btn {
   position: absolute;
   right: 8px;
@@ -1708,7 +1754,15 @@
 .ad-zoom-btn svg { width: 14px; height: 14px; }
 .asset-detail-lead .ad-lead-wrap:hover .ad-zoom-btn,
 .asset-detail-tri-row .ad-tri-wrap:hover .ad-zoom-btn { opacity: 1; }
-.asset-detail-tri-row .ad-tri-wrap { position: relative; }
+.asset-detail-tri-row {
+  width: 100%;
+  min-width: 0;
+}
+.asset-detail-tri-row .ad-tri-wrap {
+  position: relative;
+  width: 100%;
+  min-width: 0;
+}
 .asset-detail-lead .ad-thumbs { display: flex; gap: 8px; flex-wrap: wrap; }
 .asset-detail-lead .ad-thumbs .thumb {
   flex: 0 0 56px;
@@ -1760,7 +1814,15 @@
 .asset-detail-section-h .ad-icon-btn:hover { background: var(--klein); color: #fff; border-color: var(--klein); }
 .asset-detail-section-h .ad-icon-btn svg { width: 12px; height: 12px; }
 .asset-detail-section-h .ad-icon-gap { margin-left: 8px; }
-.asset-detail-tri-row .placeholder { aspect-ratio: 16 / 9; border-radius: var(--r-md); }
+.asset-detail-right .ad-section { min-width: 0; }
+.asset-detail-tri-row .placeholder {
+  width: 100%;
+  max-width: 100%;
+  min-width: 0;
+  aspect-ratio: 16 / 9;
+  box-sizing: border-box;
+  border-radius: var(--r-md);
+}
 .md-view-versions { display: flex; gap: 6px; overflow-x: auto; padding: 2px; margin-top: 8px; }
 .md-view-versions .v-thumb {
   flex: 0 0 auto;
@@ -1790,10 +1852,13 @@
   color: var(--accent-black);
   display: flex;
   align-items: center;
+  flex-wrap: wrap;
   gap: 8px;
   line-height: 1.5;
+  min-width: 0;
 }
 .asset-detail-tip svg { width: 14px; height: 14px; color: var(--heat); flex-shrink: 0; }
+.asset-detail-tip span { min-width: 0; flex: 1 1 160px; }
 .asset-detail-tip .ai-gen-btn {
   margin-left: auto;
   height: 26px;
@@ -1807,6 +1872,18 @@
   font-family: inherit;
   flex-shrink: 0;
 }
+@media (max-width: 720px) {
+  .asset-detail-grid { flex-direction: column; }
+  .asset-detail-lead,
+  .asset-detail-right {
+    flex: none;
+    width: 100%;
+    max-width: none;
+    min-width: 0;
+    contain: none;
+  }
+  .asset-detail-lead { max-width: 200px; }
+}
 .asset-modal-f .ad-foot-stats { display: flex; gap: 6px; margin-right: auto; }
 .asset-modal-f .ad-stat-btn {
   height: 32px;

core/frontend/src/routes/dashboard.tsx

@@ -36,7 +36,7 @@ const CREATE_GROUPS: Array<{
     label: "从参考视频开始",
     hint: "复用成熟视频的镜头表达与节奏",
     cards: [
-      { title: "视频复刻", desc: "拆解参考视频并提炼可编辑提示词", tone: "subtle", page: "freeCreate", icon: "scan" },
+      { title: "视频复刻", desc: "拆解参考视频并提炼可编辑提示词", tone: "subtle", page: "videoRemix", icon: "scan" },
       { title: "商品替换", desc: "保留原片表达，替换为自己的商品", tone: "subtle", page: "freeCreate", icon: "replace" },
     ],
   },

core/frontend/src/routes/free-create.tsx

@@ -27,10 +27,47 @@ import { PlatformLibraryModal } from "../components/free-create/platform-library
 import type { PromptInputHandle } from "../components/free-create/prompt-input";
 import { SystemLoading } from "../components/loading";
 import { ConfirmModal } from "../components/overlays";
+import { REMIX_PROMPT_KEY } from "./video-remix";
 
 const PAGE_SIZE = 20;
 const PROGRESS_KEY = "fc-progress";
 
+type FeedFilter = "all" | "inflight" | "succeeded" | "failed";
+
+const FEED_FILTERS: Array<{ key: FeedFilter; label: string }> = [
+  { key: "all", label: "全部" },
+  { key: "inflight", label: "生成中" },
+  { key: "succeeded", label: "已完成" },
+  { key: "failed", label: "失败" }
+];
+
+const GROUP_LABEL: Record<"today" | "yesterday" | "earlier", string> = {
+  today: "今天",
+  yesterday: "昨天",
+  earlier: "更早"
+};
+
+function chinaDay(iso: string | null) {
+  if (!iso) return "";
+  return new Intl.DateTimeFormat("en-CA", { timeZone: "Asia/Shanghai", year: "numeric", month: "2-digit", day: "2-digit" }).format(new Date(iso));
+}
+
+function dayBucket(iso: string | null): "today" | "yesterday" | "earlier" {
+  const day = chinaDay(iso);
+  if (!day) return "earlier";
+  const today = chinaDay(new Date().toISOString());
+  if (day === today) return "today";
+  const yesterday = chinaDay(new Date(Date.now() - 86400000).toISOString());
+  return day === yesterday ? "yesterday" : "earlier";
+}
+
+function matchesFeedFilter(task: FreeVideoTask, filter: FeedFilter) {
+  if (filter === "all") return true;
+  if (filter === "inflight") return isInFlight(task.status);
+  if (filter === "succeeded") return task.status === "succeeded";
+  return task.status === "failed" || task.status === "cancelled";
+}
+
 function loadProgress(): Record<string, number> {
   try {
     return JSON.parse(sessionStorage.getItem(PROGRESS_KEY) || "{}") as Record<string, number>;
@@ -97,12 +134,21 @@ export function FreeCreatePage({ modelConfigs, onNotify, onTaskSettled, onBack }
   const [submitting, setSubmitting] = useState(false);
   const promptRef = useRef<PromptInputHandle | null>(null);
 
+  useEffect(() => {
+    const draft = sessionStorage.getItem(REMIX_PROMPT_KEY);
+    if (!draft) return;
+    sessionStorage.removeItem(REMIX_PROMPT_KEY);
+    window.setTimeout(() => promptRef.current?.setContent(draft, []), 0);
+    notify("info", "已填入复刻提示词，可改完再生成");
+  }, [notify]);
+
   // —— 弹窗 ——
   const [detailId, setDetailId] = useState<string | null>(null);
   const [libraryOpen, setLibraryOpen] = useState(false);
   const [platformOpen, setPlatformOpen] = useState(false);
   const [libraryTargetRole, setLibraryTargetRole] = useState<"first_frame" | "last_frame" | null>(null);
   const [deleteTarget, setDeleteTarget] = useState<FreeVideoTask | null>(null);
+  const [feedFilter, setFeedFilter] = useState<FeedFilter>("all");
 
   // —— 轮询/进度 ——
   const pollTimersRef = useRef(new Map<string, number>());
@@ -522,6 +568,26 @@ export function FreeCreatePage({ modelConfigs, onNotify, onTaskSettled, onBack }
     setRefs([]);
   }, []);
 
+  const filterCounts = useMemo(() => ({
+    all: tasks.length,
+    inflight: tasks.filter((t) => isInFlight(t.status)).length,
+    succeeded: tasks.filter((t) => t.status === "succeeded").length,
+    failed: tasks.filter((t) => t.status === "failed" || t.status === "cancelled").length
+  }), [tasks]);
+
+  const feedGroups = useMemo(() => {
+    const visible = tasks.filter((t) => matchesFeedFilter(t, feedFilter));
+    const groups: Array<{ key: "today" | "yesterday" | "earlier"; items: FreeVideoTask[] }> = [
+      { key: "today", items: [] },
+      { key: "yesterday", items: [] },
+      { key: "earlier", items: [] }
+    ];
+    visible.forEach((task) => {
+      groups.find((g) => g.key === dayBucket(task.created_at))?.items.push(task);
+    });
+    return groups.filter((g) => g.items.length > 0);
+  }, [tasks, feedFilter]);
+
   // 详情弹窗的上一条/下一条(只在已完成的任务间切换)
   const doneTasks = tasks.filter((t) => t.status === "succeeded" && t.video_url);
   const detailTask = detailId ? tasks.find((t) => t.id === detailId) || null : null;
@@ -554,6 +620,22 @@ export function FreeCreatePage({ modelConfigs, onNotify, onTaskSettled, onBack }
         </div>
       </header>
 
+      {tasks.length > 0 && (
+        <div className="fc-feedbar">
+          {FEED_FILTERS.map((item) => (
+            <button
+              key={item.key}
+              type="button"
+              className={`fc-filter${feedFilter === item.key ? " active" : ""}`}
+              onClick={() => setFeedFilter(item.key)}
+            >
+              {item.label}
+              <span>{filterCounts[item.key]}</span>
+            </button>
+          ))}
+        </div>
+      )}
+
       <div className="fc-stage" ref={stageRef}>
         {loading ? (
           <SystemLoading title="正在加载作品" description="正在同步最新数据，请稍候。" icon="film" />
@@ -563,21 +645,35 @@ export function FreeCreatePage({ modelConfigs, onNotify, onTaskSettled, onBack }
             <strong>准备生成新视频</strong>
             <p>在下方输入提示词，或从素材库引用参考素材</p>
           </div>
-        ) : (
+        ) : feedGroups.length === 0 ? (
-          <div className="fc-feed">
+          <div className={`fc-empty${hasMore ? " is-soft" : ""}`}>
-            {tasks.map((task) => (
+            <div className="fc-empty-icon"><Clapperboard /></div>
-              <GenerationCard
+            <strong>没有符合条件的视频</strong>
-                key={task.id}
+            <p>{hasMore ? "当前已加载的记录里没有，下滑可继续查找" : "换一个状态筛选，或继续在下方生成新视频"}</p>
-                task={task}
-                progress={progress[task.id] || 3}
-                onOpen={() => setDetailId(task.id)}
-                onRetry={() => handleRetry(task)}
-                onToggleFavorite={() => handleFavorite(task)}
-                onDelete={() => setDeleteTarget(task)}
-                onDownload={() => void handleDownload(task)}
-              />
-            ))}
           </div>
+        ) : (
+          feedGroups.map((group) => (
+            <section className="fc-group" key={group.key}>
+              <div className="fc-group-h">
+                {GROUP_LABEL[group.key]}
+                <span>{group.items.length}</span>
+              </div>
+              <div className="fc-feed">
+                {group.items.map((task) => (
+                  <GenerationCard
+                    key={task.id}
+                    task={task}
+                    progress={progress[task.id] || 3}
+                    onOpen={() => setDetailId(task.id)}
+                    onRetry={() => handleRetry(task)}
+                    onToggleFavorite={() => handleFavorite(task)}
+                    onDelete={() => setDeleteTarget(task)}
+                    onDownload={() => void handleDownload(task)}
+                  />
+                ))}
+              </div>
+            </section>
+          ))
         )}
         {hasMore && <div ref={sentinelRef} className="fc-sentinel">下滑加载更多</div>}
       </div>

core/frontend/src/routes/index.ts

@@ -11,4 +11,5 @@ export { TeamPage } from "./team";
 export { MessagesPage } from "./messages";
 export { AssetFactoryPage, ImageWorkbenchPage, ModelPhotoDemoPage } from "./ai-tools";
 export { FreeCreatePage } from "./free-create";
+export { VideoRemixPage } from "./video-remix";
 export { SettingsPage } from "./settings";

core/frontend/src/routes/pipeline.tsx

@@ -34,7 +34,7 @@ import {
 import { isLocalLife } from "../product-business";
 
 // 真实资产缩略图注入:与全站一致用 --mock-media-url(.placeholder.has-mock-media 负责 cover 裁切 + 8px 圆角)
-const mediaStyle = (url: string): CSSProperties => ({ ["--mock-media-url"]: `url(${url})` } as CSSProperties);
+const mediaStyle = (url: string): CSSProperties => ({ ["--mock-media-url"]: `url("${url.replace(/"/g, "")}")` } as CSSProperties);
 // 基础资产组 kind → 中文区块名(期3:视频项目资产趴「人物」→「角色」,可引用模特库的可复用形象)
 const KIND_LABEL: Record<string, string> = { product: "商品", person: "角色", scene: "场景" };
 // 脚本来源 → 「来源」brief pill 文案
@@ -1773,6 +1773,7 @@ export function PipelinePage(props: {
     try {
       const fd = new FormData();
       fd.append("file", file);
+      if (activeScriptModelId) fd.append("model_config_id", activeScriptModelId);
       const digest = await api.extractScriptVideo(project.id, fd);
       const text = digest.text.trim();
       setChatText((prev) => (prev ? `${prev}\n${text}` : text));

core/frontend/src/routes/projects.tsx

@@ -440,7 +440,7 @@ const VIDEO_MAKE: Array<{ title: string; desc: string; page: Page; image: string
 ];
 const VIDEO_TOOLS: Array<{ title: string; desc: string; page: Page; image: string }> = [
   { title: "自由生成", desc: "使用提示词、参考图片与素材库，自由控制画面和生成参数。", page: "freeCreate", image: "/assets/yz/video-free.jpg" },
-  { title: "视频复刻", desc: "上传参考视频，拆解镜头、动作和节奏，生成可编辑复刻提示词。", page: "freeCreate", image: "/assets/yz/video-remix.jpg" },
+  { title: "视频复刻", desc: "上传参考视频，拆解镜头、动作和节奏，生成可编辑复刻提示词。", page: "videoRemix", image: "/assets/yz/video-remix.jpg" },
   { title: "商品替换", desc: "保留参考视频的人物、场景与节奏，将原商品替换为自己的商品。", page: "freeCreate", image: "/assets/yz/video-replace.jpg" },
 ];
 

core/frontend/src/routes/route-config.ts

@@ -28,6 +28,7 @@ export type Page =
   | "messages"
   | "assetFactory"
   | "freeCreate"
+  | "videoRemix"
   | "imageOptimize"
   | "modelPhoto"
   | "modelPhotoDemoA"
@@ -101,6 +102,7 @@ export const routeLabels: Record<Page, string> = {
   messages: "消息",
   assetFactory: "图片工具",
   freeCreate: "自由创作",
+  videoRemix: "视频复刻",
   imageOptimize: "图片创作",
   modelPhoto: "模特上身图",
   modelPhotoDemoA: "模特图方案 A",
@@ -118,7 +120,7 @@ export function isPage(value: string): value is Page {
 
 export function parentPage(page: Page): Page {
   if (["productDetail", "productCreateUpload"].includes(page)) return "products";
-  if (["projectWizard", "freeCreate", "pipeline"].includes(page)) return "projects";
+  if (["projectWizard", "freeCreate", "videoRemix", "pipeline"].includes(page)) return "projects";
   if (["imageOptimize", "modelPhoto", "modelPhotoDemoA", "modelPhotoDemoB", "platformCover"].includes(page)) {
     return "assetFactory";
   }
@@ -161,6 +163,7 @@ export function resolveRoute(): ResolvedRoute {
   if (path === "/messages") return { page: "messages", authMode: "login", hash };
   if (path === "/asset-factory") return { page: "assetFactory", authMode: "login", hash };
   if (path === "/free-create") return { page: "freeCreate", authMode: "login", hash };
+  if (path === "/video-remix") return { page: "videoRemix", authMode: "login", hash };
   if (path === "/image-optimize") {
     return { page: "imageOptimize", authMode: "login", productId: search.get("product_id") || undefined, hash };
   }
@@ -204,6 +207,8 @@ export function pathForPage(page: Page, options: NavigateOptions = {}) {
       return "/asset-factory";
     case "freeCreate":
       return "/free-create";
+    case "videoRemix":
+      return "/video-remix";
     case "imageOptimize":
       return options.productId ? `/image-optimize?product_id=${encodeURIComponent(options.productId)}` : "/image-optimize";
     case "modelPhoto":

core/frontend/src/routes/video-remix.tsx

@@ -0,0 +1,324 @@
+// 视频复刻 · 上传参考视频 → 视频提炼接口 → 可编辑提示词。
+// 拆解跟生成脚本同一套接口口径:模型下拉 + Gemini 3.1 Pro 官转看图。
+import { useEffect, useMemo, useState } from "react";
+import { ArrowLeft, ArrowRight, FileVideo, Save, ScanLine, ScanSearch } from "lucide-react";
+import { api } from "../api";
+import { publicModelDisplayName } from "../model-display";
+import type { ModelConfig } from "../types";
+import type { NavigateFn } from "./route-config";
+
+export const REMIX_PROMPT_KEY = "fc-remix-prompt";
+const REMIX_DRAFT_KEY = "vr-digest-draft";
+
+type RemixDraft = {
+  prompt: string;
+  duration: number;
+  shots: number;
+  rhythm: string;
+  fileName: string;
+  fileSize: number;
+  modelId: string;
+};
+
+function loadDraft(): RemixDraft | null {
+  try {
+    const raw = localStorage.getItem(REMIX_DRAFT_KEY);
+    if (!raw) return null;
+    const draft = JSON.parse(raw) as RemixDraft;
+    if (typeof draft.prompt !== "string" || !draft.prompt.trim()) return null;
+    return draft;
+  } catch {
+    return null;
+  }
+}
+
+function saveDraft(draft: RemixDraft) {
+  try {
+    localStorage.setItem(REMIX_DRAFT_KEY, JSON.stringify(draft));
+    localStorage.setItem(REMIX_PROMPT_KEY, draft.prompt);
+  } catch {
+    /* 隐私模式写满时静默,内存态仍可用 */
+  }
+}
+
+const VIDEO_DIGEST_MAX_BYTES = 200 * 1024 * 1024;
+
+function formatSize(bytes: number) {
+  if (bytes < 1024 * 1024) return `${Math.max(1, Math.round(bytes / 1024))} KB`;
+  return `${(bytes / (1024 * 1024)).toFixed(1)} MB`;
+}
+
+function shotCount(text: string, frames: number) {
+  const marks = text.match(/【第\s*\d+\s*镜】/g);
+  return marks?.length || frames || 0;
+}
+
+function rhythmCopy(text: string) {
+  if (/快节奏|紧凑/.test(text)) return "快节奏种草";
+  if (/慢节奏|舒缓/.test(text)) return "慢节奏展示";
+  const form = text.match(/形式[：:]\s*([^\n]+)/);
+  if (form?.[1]) return form[1].trim().slice(0, 12);
+  return "按参考片节奏";
+}
+
+function isGemini31(model: ModelConfig) {
+  const blob = `${model.name} ${model.display_name}`.toLowerCase();
+  return blob.includes("gemini-3.1") || blob.includes("gemini 3.1") || model.name === "gemini-3.1-pro-preview";
+}
+
+function pickDigestModel(models: ModelConfig[]) {
+  const active = models.filter((model) => model.status === "active" && isGemini31(model));
+  return (
+    active.find((model) => /官转/.test(model.display_name))
+    || active.find((model) => model.name === "gemini-3.1-pro-preview")
+    || active[0]
+    || null
+  );
+}
+
+export function VideoRemixPage({ textModels = [], onNotify, onBack, navigate }: {
+  textModels?: ModelConfig[];
+  onNotify: (type: "success" | "error" | "info", text: string) => void;
+  onBack: () => void;
+  navigate: NavigateFn;
+}) {
+  const [file, setFile] = useState<File | null>(null);
+  const [busy, setBusy] = useState(false);
+  const [draft] = useState(loadDraft);
+  const [prompt, setPrompt] = useState(draft?.prompt || "");
+  const [duration, setDuration] = useState(draft?.duration || 0);
+  const [shots, setShots] = useState(draft?.shots || 0);
+  const [rhythm, setRhythm] = useState(draft?.rhythm || "");
+  const [fileName, setFileName] = useState(draft?.fileName || "");
+  const [fileSize, setFileSize] = useState(draft?.fileSize || 0);
+  const [modelId, setModelId] = useState(draft?.modelId || "");
+  const [modelMenuOpen, setModelMenuOpen] = useState(false);
+  const done = prompt.length > 0;
+
+  const digestModels = useMemo(
+    () => textModels.filter((model) => model.status === "active" && isGemini31(model)),
+    [textModels]
+  );
+  const defaultModel = useMemo(() => pickDigestModel(digestModels), [digestModels]);
+  const activeModelId = modelId || defaultModel?.id || "";
+  const activeModel = digestModels.find((model) => model.id === activeModelId) || defaultModel;
+  const activeModelName = publicModelDisplayName(activeModel, "Gemini 3.1 Pro 官转");
+  const estimatedPoints = Math.round(Number(activeModel?.unit_price || 0));
+
+  useEffect(() => {
+    if (!modelMenuOpen) return;
+    const close = (event: MouseEvent) => {
+      if (!(event.target as HTMLElement).closest(".vr-model-pick")) setModelMenuOpen(false);
+    };
+    document.addEventListener("click", close);
+    return () => document.removeEventListener("click", close);
+  }, [modelMenuOpen]);
+
+  useEffect(() => {
+    if (!prompt.trim()) return;
+    saveDraft({
+      prompt,
+      duration,
+      shots,
+      rhythm,
+      fileName: file?.name || fileName,
+      fileSize: file?.size || fileSize,
+      modelId: activeModelId,
+    });
+  }, [prompt, duration, shots, rhythm, file, fileName, fileSize, activeModelId]);
+
+  const pickFile = (next: File | null) => {
+    if (!next) return;
+    if (!/\.(mp4|mov|m4v|webm)$/i.test(next.name)) {
+      onNotify("error", "只支持 mp4 / mov / m4v / webm 四种视频格式");
+      return;
+    }
+    if (next.size > VIDEO_DIGEST_MAX_BYTES) {
+      onNotify("error", "视频不能超过 200MB,请压缩后再传");
+      return;
+    }
+    setFile(next);
+    setFileName(next.name);
+    setFileSize(next.size);
+  };
+
+  const analyze = async () => {
+    if (!file || busy) return;
+    setBusy(true);
+    try {
+      const fd = new FormData();
+      fd.append("file", file);
+      if (activeModelId) fd.append("model_config_id", activeModelId);
+      const digest = await api.extractVideoDigest(fd);
+      const text = digest.text.trim();
+      setPrompt(text);
+      setDuration(digest.duration);
+      setShots(shotCount(text, digest.frames));
+      setRhythm(rhythmCopy(text));
+      setFileName(file.name);
+      setFileSize(file.size);
+      onNotify("success", `已拆出 ${digest.duration} 秒 · 取了 ${digest.frames} 帧,请先逐镜核对`);
+    } catch (error) {
+      onNotify("error", error instanceof Error && error.message ? error.message : "视频拆解失败，请重试");
+    } finally {
+      setBusy(false);
+    }
+  };
+
+  const savePrompt = async () => {
+    const text = prompt.trim();
+    if (!text) return;
+    sessionStorage.setItem(REMIX_PROMPT_KEY, text);
+    try {
+      await navigator.clipboard.writeText(text);
+      onNotify("success", "提示词已保存，可继续生成或直接粘贴");
+    } catch {
+      onNotify("success", "提示词已保存，可继续生成视频");
+    }
+  };
+
+  const continueGenerate = () => {
+    const text = prompt.trim();
+    if (!text) return;
+    sessionStorage.setItem(REMIX_PROMPT_KEY, text);
+    navigate("freeCreate");
+  };
+
+  return (
+    <div className="vr-page">
+      <div className="vr-inner">
+        <header className="page-head">
+          <div className="vr-title-row">
+            <button type="button" className="btn btn-ghost vr-back" aria-label="返回上一入口页面" onClick={onBack}>
+              <ArrowLeft />
+            </button>
+            <div>
+              <h1>视频复刻</h1>
+              <div className="sub">
+                上传参考视频，拆解镜头、动作、运镜和节奏，生成可编辑提示词
+                <span className="mono">[ /remix ]</span>
+              </div>
+            </div>
+          </div>
+        </header>
+
+        <div className="vr-grid">
+          <section className="vr-panel">
+            <div className="section-h">
+              <h2>上传参考视频</h2>
+              <span className="more">// 视频提炼</span>
+            </div>
+            <p className="vr-lead">建议使用主体清晰、镜头完整的电商短视频。拆解稿会落在右侧，先逐镜改完再去生成。</p>
+            <div className="vr-step">
+              <div className="vr-step-h">
+                <strong>参考视频</strong>
+                <span>MP4 / MOV · 最长 3 分钟 · 200MB</span>
+              </div>
+              <label className={`vr-upload${file ? " has-file" : ""}`}>
+                <input
+                  type="file"
+                  accept="video/mp4,video/quicktime,.mp4,.mov,.m4v,.webm"
+                  hidden
+                  onChange={(event) => {
+                    pickFile(event.target.files?.[0] || null);
+                    event.target.value = "";
+                  }}
+                />
+                <span>
+                  <FileVideo />
+                  <strong>{file?.name || fileName || "点击上传参考视频"}</strong>
+                  <small>
+                    {file
+                      ? `${formatSize(file.size)} · 视频已就绪，可开始拆解`
+                      : fileName
+                        ? `${formatSize(fileSize)} · 上次拆解还在，刷新不会丢。要重拆请再选一次文件`
+                        : "上传后抽帧拆解镜头结构与节奏"}
+                  </small>
+                </span>
+              </label>
+            </div>
+            <div className="vr-actions">
+              <div className="vr-meta">
+                {digestModels.length > 0 ? (
+                  <div className={`chip-wrap vr-model-pick${modelMenuOpen ? " open" : ""}`}>
+                    <button type="button" className="chip" title="选择视频提炼模型" onClick={() => setModelMenuOpen((open) => !open)}>
+                      {activeModelName}
+                      <svg className="caret" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round"><path d="m6 9 6 6 6-6" /></svg>
+                    </button>
+                    <div className="chip-menu">
+                      {digestModels.map((model) => (
+                        <div
+                          key={model.id}
+                          className={`mi${model.id === activeModelId ? " selected" : ""}`}
+                          role="menuitemradio"
+                          aria-checked={model.id === activeModelId}
+                          tabIndex={0}
+                          onClick={() => { setModelId(model.id); setModelMenuOpen(false); }}
+                          onKeyDown={(event) => {
+                            if (event.key === "Enter" || event.key === " ") {
+                              event.preventDefault();
+                              setModelId(model.id);
+                              setModelMenuOpen(false);
+                            }
+                          }}
+                        >
+                          {publicModelDisplayName(model)}
+                          <svg className="mi-check" viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2.6" strokeLinecap="round" strokeLinejoin="round"><path d="M20 6 9 17l-5-5" /></svg>
+                        </div>
+                      ))}
+                    </div>
+                  </div>
+                ) : null}
+                <span>{estimatedPoints > 0 ? `视频解析预计消耗 ${estimatedPoints} 积分` : "视频解析按一次文本模型计费"}</span>
+              </div>
+              <button type="button" className="btn btn-primary" disabled={!file || busy} onClick={() => void analyze()}>
+                {busy ? <span className="spinner" aria-hidden="true" /> : <ScanSearch />}
+                <span>{busy ? "正在拆解…" : done ? "重新拆解" : "开始拆解"}</span>
+              </button>
+            </div>
+          </section>
+
+          <aside className={`vr-result${done ? " has-result" : ""}`}>
+            {!done ? (
+              <div className="vr-placeholder">
+                <div>
+                  <ScanLine />
+                  <strong>{busy ? "正在抽帧拆解这条视频" : "等待视频解析"}</strong>
+                  <span>{busy ? "大约需要半分钟。拆解稿会落在这里，请先逐镜核对再去生成。" : "完成后将在这里展示镜头摘要和复刻提示词"}</span>
+                </div>
+              </div>
+            ) : (
+              <div className="vr-analysis">
+                <div className="section-h">
+                  <h2>视频拆解完成</h2>
+                  <span className="more">[ {shots} SHOTS ]</span>
+                </div>
+                <p className="vr-lead">已识别 {shots} 个镜头。拆解必然有错，先改「拆解存疑」再继续生成。</p>
+                <div className="vr-summary">
+                  <span>视频时长<strong>{duration} 秒</strong></span>
+                  <span>镜头数量<strong>{shots} 镜</strong></span>
+                  <span>内容节奏<strong>{rhythm}</strong></span>
+                </div>
+                <textarea
+                  className="textarea vr-prompt"
+                  value={prompt}
+                  onChange={(event) => setPrompt(event.target.value)}
+                />
+                <div className="vr-actions">
+                  <button type="button" className="btn" onClick={() => void savePrompt()}>
+                    <Save />
+                    保存提示词
+                  </button>
+                  <button type="button" className="btn btn-primary" onClick={continueGenerate}>
+                    <span>继续生成视频</span>
+                    <ArrowRight />
+                  </button>
+                </div>
+              </div>
+            )}
+          </aside>
+        </div>
+      </div>
+    </div>
+  );
+}

core/frontend/src/video-remix-page.css

@@ -0,0 +1,227 @@
+/* 视频复刻页 · 两栏工作台。不重写共享 .btn/.pill/.input/.chip/.textarea。 */
+
+.vr-page {
+  width: 100%;
+  max-width: none;
+  box-sizing: border-box;
+}
+
+.vr-page .vr-inner {
+  width: min(1320px, 100%);
+  margin: 0 auto;
+}
+
+.vr-page .vr-title-row {
+  display: flex;
+  align-items: flex-start;
+  gap: 12px;
+  min-width: 0;
+}
+
+.vr-page .vr-back {
+  width: 36px;
+  height: 36px;
+  padding: 0;
+  flex: 0 0 auto;
+  margin-top: 2px;
+}
+
+.vr-page .vr-grid {
+  display: grid;
+  grid-template-columns: minmax(0, 1.08fr) minmax(320px, 0.92fr);
+  gap: 16px;
+}
+
+.vr-page .vr-panel,
+.vr-page .vr-result {
+  position: relative;
+  padding: 22px 24px;
+  border-radius: var(--r-md);
+  background: var(--surface);
+}
+
+.vr-page .vr-panel::before,
+.vr-page .vr-result::before {
+  content: "";
+  position: absolute;
+  inset: 0;
+  border: 1px solid var(--border-faint);
+  border-radius: inherit;
+  pointer-events: none;
+}
+
+.vr-page .vr-lead {
+  margin: 0 0 18px;
+  color: var(--black-alpha-56);
+  font-size: 13px;
+  line-height: 1.65;
+}
+
+.vr-page .vr-step { margin-top: 4px; }
+
+.vr-page .vr-step-h {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 12px;
+  margin-bottom: 8px;
+}
+
+.vr-page .vr-step-h strong {
+  font-size: 13px;
+  font-weight: 500;
+  color: var(--accent-black);
+}
+
+.vr-page .vr-step-h span {
+  color: var(--black-alpha-48);
+  font-family: var(--font-mono);
+  font-size: 11px;
+  letter-spacing: .04em;
+}
+
+.vr-page .vr-upload {
+  min-height: 148px;
+  display: grid;
+  place-items: center;
+  padding: 22px;
+  border: 1px dashed var(--border-muted);
+  border-radius: var(--r-md);
+  color: var(--black-alpha-56);
+  background: var(--background-lighter);
+  text-align: center;
+  cursor: pointer;
+}
+
+.vr-page .vr-upload:hover,
+.vr-page .vr-upload.has-file {
+  border-color: var(--heat-40);
+  background: var(--heat-12);
+  color: var(--heat);
+}
+
+.vr-page .vr-upload > span {
+  display: grid;
+  place-items: center;
+  gap: 8px;
+  min-width: 0;
+}
+
+.vr-page .vr-upload svg {
+  width: 22px;
+  height: 22px;
+}
+
+.vr-page .vr-upload strong {
+  color: var(--accent-black);
+  font-size: 14px;
+  font-weight: 500;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+  max-width: 100%;
+}
+
+.vr-page .vr-upload small {
+  color: var(--black-alpha-48);
+  font-size: 12px;
+}
+
+.vr-page .vr-actions {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 16px;
+  margin-top: 22px;
+}
+
+.vr-page .vr-meta {
+  display: flex;
+  align-items: center;
+  gap: 12px;
+  min-width: 0;
+}
+
+.vr-page .vr-meta > span {
+  color: var(--black-alpha-48);
+  font-size: 12px;
+}
+
+.vr-page .vr-placeholder,
+.vr-page .vr-analysis { min-height: 360px; }
+
+.vr-page .vr-placeholder {
+  display: grid;
+  place-items: center;
+  color: var(--black-alpha-48);
+  text-align: left;
+}
+
+.vr-page .vr-placeholder > div {
+  display: grid;
+  justify-items: start;
+  gap: 8px;
+  max-width: 260px;
+}
+
+.vr-page .vr-placeholder svg {
+  width: 22px;
+  height: 22px;
+  color: var(--black-alpha-32);
+}
+
+.vr-page .vr-placeholder strong {
+  font-size: 14px;
+  font-weight: 500;
+  color: var(--accent-black);
+}
+
+.vr-page .vr-placeholder span {
+  font-size: 13px;
+  line-height: 1.65;
+  color: var(--black-alpha-56);
+}
+
+.vr-page .vr-summary {
+  display: grid;
+  grid-template-columns: repeat(3, minmax(0, 1fr));
+  gap: 0;
+  margin: 0 0 16px;
+  border: 1px solid var(--border-faint);
+  border-radius: var(--r-md);
+  overflow: hidden;
+}
+
+.vr-page .vr-summary span {
+  padding: 12px 14px;
+  color: var(--black-alpha-48);
+  background: var(--background-lighter);
+  font-size: 11px;
+}
+
+.vr-page .vr-summary span + span {
+  border-left: 1px solid var(--border-faint);
+}
+
+.vr-page .vr-summary strong {
+  display: block;
+  margin-top: 4px;
+  color: var(--accent-black);
+  font-size: 14px;
+  font-weight: 500;
+}
+
+.vr-page .vr-prompt {
+  min-height: 174px;
+}
+
+.vr-page .vr-analysis .vr-actions {
+  justify-content: flex-end;
+}
+
+@media (max-width: 1100px) {
+  .vr-page .vr-grid { grid-template-columns: 1fr; }
+  .vr-page .vr-summary { grid-template-columns: 1fr; }
+  .vr-page .vr-summary span + span { border-left: 0; border-top: 1px solid var(--border-faint); }
+  .vr-page .vr-actions { flex-wrap: wrap; }
+}