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xiaoxia 83465397fe feat(viral-video): 分镜文案区改为流式文档/剧本排版 (#2156)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-10-03 14:30:39 +08:00
xiaoxia 6b2b30a6e9 chore(points): worker settle 打印预估/实际 tokens diff 便于公式校准 (#2155)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-10-03 02:03:14 +08:00
xiaoxia d0582d1600 fix(points) P0: 分辨率映射改为短边规则,修复竖屏积分少算68%的计费bug (#2154)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-10-03 01:30:18 +08:00
xiaoxia bd617128ce feat(viral-video): 积分预估返回formula_breakdown + retry改参多退少补 + POINTS_SCENES注册viral_video (#2153)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-10-03 01:00:22 +08:00
xiaoxia 7800ff4c3d feat(viral-video): 爆款视频积分动态预估(estimate-credits) (#2151)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-10-03 00:25:59 +08:00
xiaoxia 5d6a4675fb feat(viral-video): 动态积分定价(按tokens×单价×1.3,保留两位小数) (#2152)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-10-03 00:20:20 +08:00
xiaoxia 774845bf91 Merge pull request 'fix: 错别字很近三保险; refactor(points): 移除除声音克隆外所有扣点' (#2150) from fix/2149-typo-henjin-remove-points into develop
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2026-10-02 12:57:10 +00:00
saas-backend-agent 4a4b8f4a05 fix(viral-video): 错别字'很近'三保险修复
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- 编导prompt加粗强调严禁使用'很近',正确用词'最近'
- _try_gen增加hard fix字符串替换:口播/分镜对白含'很近'自动替换
- 三级重试合格校验:口播含'很近'视为不合格触发重试

refactor(points): 移除ai_video/数字人/配音/改写/标题/封面/抖音解析扣点,仅保留声音克隆

- 删除5个路由的@points_gate装饰器(generation_preview/generation_cover/generation_tasks/scripts_ai/ai_avatar_render)
- 删除tts.py/lipsync.py/narrative_service.py中ai_voice/ai_digital_human手动扣点+refund块
- points_rules.py精简POINTS_SCENES:仅保留voice_clone_train(0积分)和voice_clone_synth(1积分/分钟)
- 删除DAILY_FREE_CLIP_LIMIT免费混剪额度逻辑,get_daily_usage返回unlimited占位
- points_gate.py删除ai_video特殊分支,未知/免费场景calculate_points_cost返回0直接放行
- points.py删除UNKNOWN_SCENE 400校验,任意scene可查
- 更新16个测试文件适配新规则:198个扣点相关单测全绿,viral_video 58个测试无回归
2026-10-02 20:39:16 +08:00
xiaoxia d8e995afff fix(credits): 隐藏智能混剪等6项功能积分展示;爆款视频固定50积分 (#2149)
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fix(credits): 隐藏智能混剪/AI数字人/AI配音/抖音解析/改写/封面等6项功能的积分消耗展示;爆款视频积分固定显示50(后续动态定价再调整);声音克隆和会员标识不受影响

核实:
- ENABLE_CREDIT_SYSTEM=false(PR#1995 已全局关闭),PointsBadge/PointsCost 顶部 early return null
- Header 积分菜单、导航积分中心、GeneratePage 积分预检查/估算均已被开关隐藏
- 爆款视频vv-credits从 duration分档40/60/80 改为固定50积分
- 声音克隆页面无独立积分消耗UI,保留现状
- tsc/prettier/vite build 全绿
2026-10-02 20:24:09 +08:00
xiaoxia 2ce31a4438 Merge pull request 'fix(viral-video) v1.6.1: P0 渲染卡死根因修复 + P1 VLM 快速降级' (#2148) from fix/2148-p0-render-hang-p1-vlm-fast-fail into develop
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2026-10-02 08:42:16 +00:00
xiaoxia 70aeb5e642 fix(viral-video): P0 渲染卡死 + P1 VLM lite 快速降级(v1.6.1)
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P0 根因修复(v9 渲染卡死 20+ min):
1. Seedance 2.5 content 数组协议错误:之前把参考音频/视频放在顶层 reference_audios/reference_videos(非官方字段),
   且首帧图不带 role 导致服务端识别为 first_frame 模式(该模式强制 ratio=adaptive),传入 ratio=9:16 导致任务
   静默排队/失败轮询到 900s 超时。
2. 修复:所有参考(图/音/视)放进 content 数组并带正确 role(reference_image/reference_audio/reference_video);
   首张图根据是否有额外参考自动选择 first_frame vs reference_image 模式。
3. ratio 智能选择:纯首帧无参考→adaptive;omni_reference→按用户 ratio(默认 9:16);
   若创建任务因 ratio 返回 HTTP 400,自动回退 adaptive 重试一次。
4. 轮询 total_timeout 从 900s 收紧到 480s(8min),下载超时 120s;
   celery 任务加 soft_time_limit(render 660s/analyze 240s/generate_copy 180s/pipeline 900s)防挂死。
5. 轮询每 5 次打一次 info 日志,失败时完整打印 error.code/message。
6. _hb_stop 提前声明避免 finally UnboundLocalError。

P1 VLM lite 快速降级:
- lite timeout 从 45s 收紧到 15s,pro 降级固定 25s,总耗时 ≤40s(之前 45+60≈100s)。
- 日志:创建任务时打印 mode(first_frame/omni_ref)、ratio、参考数量。
2026-10-02 16:34:56 +08:00
xiaoxia d707b64876 tune(viral-video): VLM lite timeout 25s→45s (#2147)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-10-02 15:09:23 +08:00
xiaoxia fe4464df2e Merge pull request 'fix(viral-video): P1 VLM模型ID/僵尸任务心跳/文案兜底; P2 ratio/OSS一致性' (#2146) from fix/2141-p1-vlm-timeout-heartbeat-copy into develop
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fix(viral-video): P1 VLM/heartbeat/copy fallback/P2 ratio/OSS (#2146)
2026-10-02 14:36:21 +08:00
CI Bot 0c0fe4619d style: auto-format with black + isort + ruff + prettier [skip ci-format-check]
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2026-10-02 06:12:07 +00:00
xiaoxia ad686dcd8b fix(viral-video): P1 VLM模型ID/僵尸任务心跳/文案兜底/P2 ratio映射/OSS一致性
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P1-1: VLM lite/pro模型ID修正(250915→250315/250328),根因是旧ID不存在导致lite必然超时降级pro
- packages/config/base.py: doubao_vision_model/pro/lite 改为火山方舟官方正确ID
- packages/shared/ai_client.py docstring同步更新
- apps/worker/worker_app/tasks/viral_video.py 硬编码字符串同步
- .env.example 同步新ID

P1-2: worker心跳+僵尸任务超时回收
- packages/domain/viral_video.py: 新增heartbeat_at字段+touch_heartbeat()方法
- packages/adapters/sqlalchemy_impl/models.py: ViralVideoJobModel加heartbeat_at列(index=True)
- packages/adapters/sqlalchemy_impl/viral_video_repository.py: to_entity/save/update映射heartbeat_at
- alembic/versions/092_viral_video_heartbeat.py: 幂等迁移,加列+index+给已有running任务初始化
- apps/worker/worker_app/tasks/viral_video.py:
  - 新增_start_heartbeat_thread后台线程,每25s独立session更新heartbeat_at
  - 新增_recover_stale_jobs(): running>10min且心跳>2min未更新→自动标记failed
  - pipeline/analyze/generate_copy/render四个celery任务接入心跳启停+启动时回收僵尸
- apps/api/app/api/routes/viral_video.py: retry接口放宽,允许对超时僵尸任务重试

P1-3: 文案生成质量与兜底修复
- 兜底脚本'很近'→'最近'(之前commit已改)
- _step_script_generation 三级重试: fast(0.8/2500tok)→fast(0.6/3200tok)→pro(0.7/3500tok)
- 新增fallback判定:口播<20字/含兜底特征串/镜头数<1才视为降级,避免正常短脚本误判
- prompt关键要求新增'输出前自检:口播禁止错别字和语病'
- 关键路径打info日志(模型/label/口播长度/镜头数/是否兜底),便于后续排查

P2-1: Seedance图生视频ratio不生效导致9:16出1:1
- 根因: 旧逻辑Bug #2110在image_url存在时不传ratio,模型默认adaptive→首帧方图商品图输出1:1
- 官方文档确认图生视频支持ratio参数,模型会自动居中裁剪首帧
- packages/shared/ai_client.py+ai_service.py: 删除image_url判空,始终传ratio
- 同步更新docstring注释

P2-2: OSS成片eventual consistency导致completed后NoSuchKey
- apps/worker/worker_app/tasks/viral_video.py: 新增_wait_oss_ready(url,timeout=10s)
- mark_completed前循环HEAD公网URL,等200+content-length>0或10s超时

测试: viral-video相关97个单测全部通过,仅更新test_passes_reference_params_to_client以反映新ratio透传行为
2026-10-02 14:05:48 +08:00
xiaoxia 347cc82ffa style(viral-video): 分镜文案区域紧凑化,一屏展示更多镜头 (#2145)
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2026-10-02 13:57:34 +08:00
xiaoxia d3ee11d27a fix(viral-video): 素材库选择弹窗选中态视觉增强 (#2144)
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2026-10-02 13:42:56 +08:00
xiaoxia 16ef616907 fix(viral-video): 分析结果标签从「商品:」改为「图片N:」按上传顺序编号 (#2143)
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2026-10-02 13:27:37 +08:00
xiaoxia ea51b372af fix(viral-video): 营销目的20项完整列表 + 修复图片大小显示0B (#2142)
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2026-10-02 13:11:09 +08:00
xiaoxia 9c807444da fix(viral-video): 分析/生成期间不再锁定页面其他控件(P0) (#2141)
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2026-10-02 13:03:31 +08:00
xiaoxia b31205e965 fix(viral-video): VLM lite失败自动降级pro + 10种IP人设注入prompt (#2139) (#2140)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-10-02 12:32:02 +08:00
xiaoxia b4b53c9e5d fix(viral-video): AI润色模式下user_copy_text未传给后端 (#2139)
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Co-authored-by: xiaoxia <dev@xiaoxiajianji.com>
Co-committed-by: xiaoxia <dev@xiaoxiajianji.com>
2026-10-02 12:18:35 +08:00
xiaoxia cf0a08f503 fix(viral-video): 补 current_stage 列迁移,修复 staging 500 (#2137) (#2138)
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2026-10-02 12:08:28 +08:00
xiaoxia 3ede4dca1f Merge pull request 'fix(viral-video): #2134 generate-copy 提速到 30-40s + 细粒度 phase/phase_message' (#2136) from fix/2134-generate-copy-speed-phase into develop
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2026-10-02 11:41:45 +08:00
xiaoxia 133a6c5914 fix(viral-video): 推翻暗色主题改回浅色紫色主题 + 6项UI调整 (#2137)
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2026-10-02 11:08:47 +08:00
48 changed files with 3671 additions and 1947 deletions
+2 -2
View File
@@ -217,8 +217,8 @@ DOUBAO_BASE_URL=https://ark.cn-beijing.volces.com/api/v3
DOUBAO_TIMEOUT=30
DOUBAO_MAX_RETRIES=2
# 视觉模型:pro 精度高,lite 速度快(viral-video 商品识别默认用 lite 提速)
DOUBAO_VISION_MODEL=doubao-1-5-vision-pro-250915
DOUBAO_VISION_LITE_MODEL=doubao-1-5-vision-lite-250915
DOUBAO_VISION_MODEL=doubao-1-5-vision-pro-250328
DOUBAO_VISION_LITE_MODEL=doubao-1-5-vision-lite-250315
DOUBAO_VISION_USE_LITE=true
# ==================== 积分/会员系统 (#1895) ====================
+49
View File
@@ -0,0 +1,49 @@
"""viral video add current_stage column (#2137 follow-up)
Revision ID: 091_viral_video_stage
Revises: 090_viral_video_phase_msg
Create Date: 2026-10-02
#2137 follow-up fix: 090 migration missed current_stage column on viral_video_jobs,
causing UndefinedColumn errors and 500s on all authenticated viral-video endpoints.
Idempotently add current_stage and double-check phase_message.
"""
import sqlalchemy as sa
from alembic import op
revision = "091_viral_video_stage"
down_revision = "090_viral_video_phase_msg"
branch_labels = None
depends_on = None
def upgrade() -> None:
conn = op.get_bind()
inspector = sa.inspect(conn)
cols = {c["name"] for c in inspector.get_columns("viral_video_jobs")}
if "current_stage" not in cols:
op.add_column(
"viral_video_jobs",
sa.Column(
"current_stage",
sa.String(length=200),
nullable=False,
server_default="",
),
)
if "phase_message" not in cols:
op.add_column(
"viral_video_jobs",
sa.Column(
"phase_message",
sa.String(length=500),
nullable=False,
server_default="",
),
)
def downgrade() -> None:
op.drop_column("viral_video_jobs", "current_stage")
@@ -0,0 +1,42 @@
"""viral_video_jobs 增加 heartbeat_at 列(worker 心跳,用于僵尸任务超时回收)
Revision ID: 092_viral_video_heartbeat
Revises: 091_viral_video_stage
Create Date: 2026-10-02
"""
import sqlalchemy as sa
from alembic import op
revision = "092_viral_video_heartbeat"
down_revision = "091_viral_video_stage"
branch_labels = None
depends_on = None
def upgrade() -> None:
conn = op.get_bind()
inspector = sa.inspect(conn)
cols = {c["name"] for c in inspector.get_columns("viral_video_jobs")}
if "heartbeat_at" not in cols:
op.add_column("viral_video_jobs", sa.Column("heartbeat_at", sa.DateTime(), nullable=True))
op.execute(
"UPDATE viral_video_jobs SET heartbeat_at = updated_at " "WHERE status = 'running' AND heartbeat_at IS NULL"
)
try:
op.create_index("ix_viral_video_jobs_heartbeat_at", "viral_video_jobs", ["heartbeat_at"])
except Exception:
pass
def downgrade() -> None:
conn = op.get_bind()
inspector = sa.inspect(conn)
cols = {c["name"] for c in inspector.get_columns("viral_video_jobs")}
if "heartbeat_at" in cols:
try:
op.drop_index("ix_viral_video_jobs_heartbeat_at", table_name="viral_video_jobs")
except Exception:
pass
op.drop_column("viral_video_jobs", "heartbeat_at")
@@ -0,0 +1,87 @@
"""viral_video 动态积分定价 + 积分字段从 Integer 改为 Float (#2151)
Revision ID: 093
Revises: 092_viral_video_heartbeat
Create Date: 2026-10-02
"""
import sqlalchemy as sa
from alembic import op
revision = "093"
down_revision = "092_viral_video_heartbeat"
branch_labels = None
depends_on = None
def upgrade() -> None:
conn = op.get_bind()
inspector = sa.inspect(conn)
# 1) points_accounts 三列 Integer -> Float
pa_cols = {c["name"]: c for c in inspector.get_columns("points_accounts")}
for col in ("balance", "total_earned", "total_spent"):
if col in pa_cols:
op.alter_column(
"points_accounts",
col,
existing_type=sa.Integer(),
type_=sa.Float(),
existing_nullable=False,
)
# 2) points_transactions amount/balance_after Integer -> Float
pt_cols = {c["name"]: c for c in inspector.get_columns("points_transactions")}
for col in ("amount", "balance_after"):
if col in pt_cols:
op.alter_column(
"points_transactions",
col,
existing_type=sa.Integer(),
type_=sa.Float(),
existing_nullable=False,
)
# 3) users.points_balance Integer -> Float
user_cols = {c["name"]: c for c in inspector.get_columns("users")}
if "points_balance" in user_cols:
op.alter_column(
"users",
"points_balance",
existing_type=sa.Integer(),
type_=sa.Float(),
existing_nullable=False,
)
# 4) viral_video_jobs.credits_cost Integer -> Float
vv_cols = {c["name"]: c for c in inspector.get_columns("viral_video_jobs")}
if "credits_cost" in vv_cols:
op.alter_column(
"viral_video_jobs",
"credits_cost",
existing_type=sa.Integer(),
type_=sa.Float(),
existing_nullable=False,
)
# 5) viral_video_jobs 新增列
if "video_resolution" not in vv_cols:
op.add_column(
"viral_video_jobs",
sa.Column("video_resolution", sa.String(20), nullable=False, server_default="720p"),
)
if "credits_prepaid" not in vv_cols:
op.add_column(
"viral_video_jobs",
sa.Column("credits_prepaid", sa.Float(), nullable=False, server_default="0"),
)
if "credits_transaction_id" not in vv_cols:
op.add_column(
"viral_video_jobs",
sa.Column("credits_transaction_id", sa.String(36), nullable=False, server_default=""),
)
def downgrade() -> None:
pass
@@ -29,8 +29,6 @@ from app.services.ai_avatar_render_service import (
from fastapi import APIRouter, Depends, HTTPException, Query
from sqlalchemy.orm import Session
from packages.middleware.points_gate import points_gate
logger = logging.getLogger(__name__)
router = APIRouter()
@@ -44,7 +42,6 @@ def _get_service(db: Session = Depends(get_db_session)) -> AiAvatarRenderService
@router.post("", response_model=AiAvatarRenderJobResponse, status_code=201)
@points_gate("ai_digital_human", per_unit=15)
def create_render_job(
body: CreateAiAvatarRenderRequest,
current_user: AuthenticatedUser = Depends(get_current_user),
@@ -27,7 +27,6 @@ from packages.adapters.sqlalchemy_impl.generation_task_repository import (
)
from packages.application import ListGeneratedVideosByTaskUseCase
from packages.domain.config_schemas import normalize_plan_config
from packages.middleware.points_gate import points_gate
from packages.shared.storage import get_shared_storage_service
from .templates_editor.dependencies import get_draft_plan_id, get_editor_services
@@ -346,7 +345,6 @@ def _is_trusted_media_url(url: str) -> bool:
@router.post("/generate-cover", response_model=GenerateCoverResponse)
@points_gate("ai_cover")
def generate_cover(
body: GenerateCoverRequest,
template_id: str = Query(..., description="模板 ID"),
@@ -41,7 +41,6 @@ from packages.application import (
GetGenerationTaskUseCase,
ListGeneratedVideosByTaskUseCase,
)
from packages.middleware.points_gate import points_gate
logger = logging.getLogger(__name__)
@@ -270,7 +269,6 @@ def _variant_value(values: list[str], index: int, fallback: str = "") -> str:
@router.post("/preview", response_model=BatchPreviewGenerationTaskResponse, status_code=201)
@points_gate("ai_video", quantity_field="preview_count")
def create_preview_generation_task(
request: CreatePreviewGenerationTaskRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
@@ -163,7 +163,6 @@ def _infer_expected_categories(script_tags: set[str] | None) -> set[str] | None:
return matched or None
from packages.middleware.points_gate import points_gate
logger = logging.getLogger(__name__)
@@ -465,7 +464,6 @@ def _resolve_project_and_library(
@router.post("/tasks", response_model=BatchGenerationTaskResponse)
@points_gate("ai_video", quantity_field="count")
def create_generation_task(
request: CreateGenerationTaskRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
+4 -94
View File
@@ -12,11 +12,9 @@
from __future__ import annotations
import logging
import math
from datetime import UTC
from app.auth import AuthenticatedUser, get_current_user
from app.config import settings
from app.dependencies import (
get_db_session,
get_voice_clone_profile_repository,
@@ -32,9 +30,6 @@ from app.services.mediakit_client import MediaKitError
from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Query
from sqlalchemy.orm import Session
from packages.domain.points_rules import calculate_points_cost
from packages.domain.points_service import PointsService
logger = logging.getLogger(__name__)
router = APIRouter()
@@ -61,37 +56,6 @@ def create_lipsync_job(
db: Session = Depends(get_db_session),
svc: LipsyncService = Depends(_get_service),
):
user_id = current_user.user.id
# ── 积分扣点(#1895 P2) ──
_points_deducted = 0
_points_scene = "ai_digital_human"
_points_svc = PointsService() if settings.points_enabled else None
if _points_svc is not None:
# 口型同步:TTS 模式按 script_text 估时长(240字/分钟);音频直传按 audio_duration(秒→分钟)
if body.audio_url and body.audio_duration and body.audio_duration > 0:
est_minutes = max(1.0, math.ceil(body.audio_duration / 60.0))
elif body.script_text:
est_minutes = max(1.0, math.ceil(len(body.script_text) / 240))
else:
est_minutes = 1.0
_points_deducted = calculate_points_cost(
_points_scene,
is_member=getattr(current_user.user, "is_member", False),
duration_minutes=est_minutes,
member_type=getattr(current_user.user, "member_type", None),
)
_deduct_res = _points_svc.deduct_points(user_id, _points_deducted, _points_scene, db)
if not _deduct_res["success"]:
raise HTTPException(
status_code=402,
detail={
"code": "INSUFFICIENT_POINTS",
"message": f"积分不足,需要 {_points_deducted} 积分,当前余额 {_deduct_res['balance']}",
"required": _points_deducted,
"balance": _deduct_res["balance"],
},
)
"""提交对口型任务.
三种模式:
@@ -101,6 +65,8 @@ def create_lipsync_job(
- 预合成音频(#1845 新主路径):传 {video_url, audio_url, audio_duration, sentence_timings},
后端同步ffprobe+写入timings+直接提交MediaKit(~2-3s)。
"""
user_id = current_user.user.id
try:
job = svc.create_job(
user_id=user_id,
@@ -118,18 +84,8 @@ def create_lipsync_job(
project_id=body.project_id,
)
except ValueError as exc:
if _points_deducted > 0 and _points_svc is not None:
try:
_points_svc.refund_points(user_id, _points_deducted, _points_scene, db)
except Exception as refund_err:
logger.warning(f"对口型 ValueError 退积分异常: err={refund_err}")
raise HTTPException(status_code=400, detail=str(exc)) from exc
except MediaKitError as exc:
if _points_deducted > 0 and _points_svc is not None:
try:
_points_svc.refund_points(user_id, _points_deducted, _points_scene, db)
except Exception as refund_err:
logger.warning(f"对口型 MediaKitError 退积分异常: err={refund_err}")
status_code = 502
if exc.code in ("VoiceForbidden",):
status_code = 403
@@ -145,24 +101,11 @@ def create_lipsync_job(
) from exc
except Exception as exc:
logger.error("创建对口型任务异常: %s", exc, exc_info=True)
if _points_deducted > 0 and _points_svc is not None:
try:
_points_svc.refund_points(user_id, _points_deducted, _points_scene, db)
except Exception as refund_err:
logger.warning(f"对口型异常退积分异常: err={refund_err}")
raise HTTPException(
status_code=400,
detail=f"创建对口型任务失败: {exc}",
) from exc
# 创建成功但状态为 failed(同步路径失败已抛异常到上面 except;此处处理 Celery 调度失败等)
# 若任务已创建且状态为 failed,退费
if _points_deducted > 0 and _points_svc is not None and getattr(job, "status", None) == "failed":
try:
_points_svc.refund_points(user_id, _points_deducted, _points_scene, db, ref_id=job.id)
except Exception as refund_err:
logger.warning(f"对口型任务失败退积分异常: job_id={job.id}, err={refund_err}")
return job
@@ -176,37 +119,14 @@ def preview_tts(
db: Session = Depends(get_db_session),
svc: LipsyncService = Depends(_get_service),
):
user_id = current_user.user.id
# ── 积分扣点(#1895 P2) ──
_points_deducted = 0
_points_scene = "ai_digital_human"
_points_svc = PointsService() if settings.points_enabled else None
if _points_svc is not None:
est_minutes = max(1.0, math.ceil(len(body.script_text or "") / 240)) if body.script_text else 1.0
_points_deducted = calculate_points_cost(
_points_scene,
is_member=getattr(current_user.user, "is_member", False),
duration_minutes=est_minutes,
member_type=getattr(current_user.user, "member_type", None),
)
_deduct_res = _points_svc.deduct_points(user_id, _points_deducted, _points_scene, db)
if not _deduct_res["success"]:
raise HTTPException(
status_code=402,
detail={
"code": "INSUFFICIENT_POINTS",
"message": f"积分不足,需要 {_points_deducted} 积分,当前余额 {_deduct_res['balance']}",
"required": _points_deducted,
"balance": _deduct_res["balance"],
},
)
"""步骤1「生成配音」同步 TTS 预合成.
同步执行 TTS 合成 → 下载音频 → ffprobe 时长 → 句子时间戳计算,
不创建 LipsyncJob、不转存 OSS,直接返回 CosyVoice 临时 URL(~24h 有效)。
耗时约 2-3 秒。
"""
user_id = current_user.user.id
try:
result = svc.preview_tts(
user_id=user_id,
@@ -218,11 +138,6 @@ def preview_tts(
emotion=body.emotion,
)
except MediaKitError as exc:
if _points_deducted > 0 and _points_svc is not None:
try:
_points_svc.refund_points(user_id, _points_deducted, _points_scene, db)
except Exception as refund_err:
logger.warning(f"TTS 预合成 MediaKitError 退积分异常: err={refund_err}")
status_code = 400
if exc.code in ("VoiceForbidden",):
status_code = 403
@@ -237,11 +152,6 @@ def preview_tts(
) from exc
except Exception as exc:
logger.error("TTS 预合成异常: %s", exc, exc_info=True)
if _points_deducted > 0 and _points_svc is not None:
try:
_points_svc.refund_points(user_id, _points_deducted, _points_scene, db)
except Exception as refund_err:
logger.warning(f"TTS 预合成异常退积分异常: err={refund_err}")
raise HTTPException(
status_code=400,
detail=f"TTS 合成失败: {exc}",
+3 -20
View File
@@ -169,17 +169,7 @@ def check_points(
current_user: AuthenticatedUser = Depends(get_current_user),
db: Session = Depends(get_db_session),
):
"""消费前检查余额是否足够。未知 scene_key 返回 400(而非 500)。"""
if body.scene_key not in POINTS_SCENES:
raise HTTPException(
status_code=400,
detail={
"code": "UNKNOWN_SCENE",
"message": f"未知场景: {body.scene_key}",
"valid_scenes": sorted(POINTS_SCENES.keys()),
},
)
"""消费前检查余额是否足够。已下线/未知场景返回 cost=0(免费)。"""
# 积分系统暂停(ENABLE_CREDIT_SYSTEM=false):所有场景直接放行,需 0 积分
if not _credits_enabled():
svc = _get_service()
@@ -195,13 +185,6 @@ def check_points(
is_mem = _is_member(current_user)
mt = _member_type(current_user)
# 混剪场景先检查免费额度
is_free_quota = False
if body.scene_key == "ai_video" and not is_mem:
svc = _get_service()
if svc.check_daily_free_clip(current_user.user.id, db):
is_free_quota = True
required = calculate_points_cost(
body.scene_key,
is_mem,
@@ -215,11 +198,11 @@ def check_points(
balance = account["balance"]
return PointsCheckResponse(
allowed=is_free_quota or balance >= required,
allowed=balance >= required,
required_points=required,
current_balance=balance,
remaining_after=balance - required,
is_free_quota=is_free_quota,
is_free_quota=False,
)
-4
View File
@@ -44,7 +44,6 @@ from app.services.script_asr_service import (
from fastapi import APIRouter, Depends, HTTPException, status
from sqlalchemy.orm import Session
from packages.middleware.points_gate import points_gate
from packages.shared.ai_client import get_doubao_client
logger = logging.getLogger(__name__)
@@ -373,7 +372,6 @@ def douyin_diag():
@router.post("/extract-from-douyin", response_model=ExtractFromDouyinResponse)
@points_gate("douyin_extract")
def extract_from_douyin(
request: ExtractFromDouyinRequest,
current_user: AuthenticatedUser = Depends(get_current_user),
@@ -497,7 +495,6 @@ def extract_from_douyin(
@router.post("/ai-rewrite", response_model=AiRewriteResponse)
@points_gate("ai_rewrite")
def ai_rewrite(
request: AiRewriteRequest,
current_user: AuthenticatedUser = Depends(get_current_user),
@@ -537,7 +534,6 @@ def ai_rewrite(
@router.post("/ai-generate-titles", response_model=AiGenerateTitlesResponse)
@points_gate("ai_title")
def ai_generate_titles(
request: AiGenerateTitlesRequest,
current_user: AuthenticatedUser = Depends(get_current_user),
-76
View File
@@ -4,14 +4,12 @@ from __future__ import annotations
import json
import logging
import math
import subprocess
import tempfile
from pathlib import Path
from typing import Any, Optional
from app.auth import AuthenticatedUser, get_current_user
from app.config import settings
from app.core.celery_app import celery_app
from app.core.storage import get_storage_service
from app.dependencies import (
@@ -53,8 +51,6 @@ from packages.application.tts_job.use_cases import (
)
from packages.application.tts_job.workflow import TTSWorkflowService
from packages.domain import Asset, AssetLibrary, AssetLibraryKind, AssetStatus, ClassificationStatus
from packages.domain.points_rules import calculate_points_cost
from packages.domain.points_service import PointsService
from packages.domain.voice_presets import list_voices
from packages.ports.asset_library_repository import AssetLibraryRepository
from packages.ports.asset_repository import AssetRepository
@@ -144,31 +140,6 @@ def synthesize(
"""
user_id = authenticated_user.user.id
# ── 积分扣点(#1895 P2) ──
_points_deducted = 0
_points_scene = "ai_voice"
_points_svc = PointsService() if settings.points_enabled else None
if _points_svc is not None:
# 中文按 ~240 字/分钟粗估时长,至少按 1 分钟扣 1 分
est_minutes = max(1.0, math.ceil(len(request.text) / 240))
_points_deducted = calculate_points_cost(
_points_scene,
is_member=getattr(authenticated_user.user, "is_member", False),
duration_minutes=est_minutes,
member_type=getattr(authenticated_user.user, "member_type", None),
)
_deduct_res = _points_svc.deduct_points(user_id, _points_deducted, _points_scene, db)
if not _deduct_res["success"]:
raise HTTPException(
status_code=402,
detail={
"code": "INSUFFICIENT_POINTS",
"message": f"积分不足,需要 {_points_deducted} 积分,当前余额 {_deduct_res['balance']}",
"required": _points_deducted,
"balance": _deduct_res["balance"],
},
)
# 解析 voice_id:前端可能传克隆音色 profile UUID(而非 CosyVoice voice_id),
# 与 /tts/preview 保持一致:命中 profile → 校验归属 → 取 CosyVoice voice_id
actual_voice_id = request.voice_id
@@ -231,7 +202,6 @@ def synthesize(
cosyvoice_service=cosyvoice_service,
)
synthesis_error: Exception | None = None
try:
job = workflow.start_synthesis(job.id)
except Exception as e:
@@ -239,18 +209,10 @@ def synthesize(
# 但 DB 异常、网络异常等意外错误可能逃逸。
# 与音色克隆接口保持一致:标记 failed,返回 201,不抛 500。
logger.error(f"TTS 合成异常: job_id={job.id}, error={e}", exc_info=True)
synthesis_error = e
try:
job = workflow.process_synthesis_failure(job.id, str(e))
except Exception as inner_e:
logger.error(f"标记 TTS job 失败时出错: job_id={job.id}, error={inner_e}")
# 合成失败且已扣积分 → 退费
if synthesis_error is not None and _points_deducted > 0 and _points_svc is not None:
try:
_points_svc.refund_points(user_id, _points_deducted, _points_scene, db, ref_id=job.id)
except Exception as refund_err:
logger.warning(f"TTS 合失败退积分异常: job_id={job.id}, err={refund_err}")
# 若任务处于 processing 状态(异步模式),触发 Celery 后台轮询
if job.status.value == "processing":
# 分段合成任务 vs 普通单段任务
@@ -269,13 +231,6 @@ def synthesize(
workflow.process_synthesis_failure(job.id, f"Celery 任务调度失败: {e}")
except Exception as inner_e:
logger.error(f"Celery 调度后标记失败时出错: job_id={job.id}, error={inner_e}")
# 调度失败退费
if _points_deducted > 0 and _points_svc is not None:
try:
_points_svc.refund_points(user_id, _points_deducted, _points_scene, db, ref_id=job.id)
except Exception as refund_err:
logger.warning(f"Celery 调度失败退积分异常: job_id={job.id}, err={refund_err}")
return TTSSynthesizeResponse(
job_id=job.id,
status=job.status,
@@ -610,31 +565,6 @@ def preview_tts(
用于前端预览配音效果,限制文本长度 200 字以内。
支持预设音色和克隆音色:克隆音色传的是 profile UUID,需解析为 CosyVoice voice_id。
"""
user_id = authenticated_user.user.id
# ── 积分扣点(#1895 P2) ──
_points_deducted = 0
_points_scene = "ai_voice"
_points_svc = PointsService() if settings.points_enabled else None
if _points_svc is not None:
est_minutes = max(1.0, math.ceil(len(request.text) / 240))
_points_deducted = calculate_points_cost(
_points_scene,
is_member=getattr(authenticated_user.user, "is_member", False),
duration_minutes=est_minutes,
member_type=getattr(authenticated_user.user, "member_type", None),
)
_deduct_res = _points_svc.deduct_points(user_id, _points_deducted, _points_scene, db)
if not _deduct_res["success"]:
raise HTTPException(
status_code=402,
detail={
"code": "INSUFFICIENT_POINTS",
"message": f"积分不足,需要 {_points_deducted} 积分,当前余额 {_deduct_res['balance']}",
"required": _points_deducted,
"balance": _deduct_res["balance"],
},
)
# 解析 voice_id:前端可能传 VoiceCloneProfile UUID 或预设音色 ID
actual_voice_id = request.voice_id
profile = voice_clone_repo.get(request.voice_id)
@@ -664,12 +594,6 @@ def preview_tts(
language=getattr(request, "language", "zh-CN"),
)
except (CosyVoiceError, ValueError) as e:
# 合成失败退费
if _points_deducted > 0 and _points_svc is not None:
try:
_points_svc.refund_points(user_id, _points_deducted, _points_scene, db)
except Exception as refund_err:
logger.warning(f"TTS 预览失败退积分异常: {refund_err}")
if isinstance(e, CosyVoiceError):
raise HTTPException(status_code=status.HTTP_502_BAD_GATEWAY, detail=f"TTS 合成失败: {e}") from e
raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(e)) from e
+197 -6
View File
@@ -32,7 +32,11 @@ from app.schemas.viral_video import (
ConfirmCopyRequest,
ConfirmIntentRequest,
CreateViralVideoRequest,
CreditsFormulaBreakdown,
EstimateCreditsRequest,
EstimateCreditsResponse,
GenerateCopyRequest,
RetryViralVideoRequest,
StyleTemplateListResponse,
StyleTemplateResponse,
ViralVideoHistoryResponse,
@@ -140,7 +144,9 @@ def _to_response(job) -> ViralVideoJobResponse:
video_model=getattr(job, "video_model", "") or "",
intent_result=job.intent_result,
result_video_url=job.result_video_url,
credits_cost=job.credits_cost,
video_resolution=getattr(job, "video_resolution", "720p") or "720p",
credits_prepaid=float(getattr(job, "credits_prepaid", 0) or 0),
credits_cost=float(getattr(job, "credits_cost", 0) or 0),
error_msg=job.error_msg,
retry_count=job.retry_count,
started_at=job.started_at,
@@ -193,6 +199,7 @@ def create_viral_video(
voice_source=getattr(request, "voice_source", "") or "",
video_ratio=getattr(request, "video_ratio", "9:16") or "9:16",
video_model=getattr(request, "video_model", "") or "",
video_resolution=getattr(request, "video_resolution", "720p") or "720p",
copy_result=None,
)
@@ -235,6 +242,7 @@ def analyze_images(
voice_source=request.voice_source or "",
video_ratio=request.video_ratio or "9:16",
video_model=request.video_model or "",
video_resolution=getattr(request, "video_resolution", "720p") or "720p",
duration=request.duration or 15,
)
repo.save(job)
@@ -298,6 +306,7 @@ def generate_copy(
job.voice_source = request.voice_source or job.voice_source
job.video_ratio = request.video_ratio or job.video_ratio or "9:16"
job.video_model = request.video_model or job.video_model or ""
job.video_resolution = getattr(request, "video_resolution", "") or job.video_resolution or "720p"
job.resume_from_image_analyzed()
repo.update(job)
@@ -330,6 +339,41 @@ def confirm_copy(
if job.status != ViralVideoStatus.COPY_GENERATED:
raise HTTPException(status_code=409, detail=f"任务当前状态 {job.status} 不能确认文案(需 copy_generated)")
# 积分预扣(已扣过/重试任务跳过)
from app.config import settings as _settings
if _settings.points_enabled:
already_paid = (float(getattr(job, "credits_prepaid", 0) or 0) > 0) or (
float(getattr(job, "credits_cost", 0) or 0) > 0
)
if not already_paid:
from packages.domain.points_rules import calculate_viral_video_credits, resolve_video_dimensions
from packages.domain.points_service import PointsService
w, h = resolve_video_dimensions(
getattr(job, "video_resolution", "720p") or "720p",
job.video_ratio or "9:16",
)
est_credits = calculate_viral_video_credits(
int(job.duration or 15), w, h, job.video_model or "seedance-2.5"
)
svc = PointsService()
res = svc.deduct_viral_video(authenticated_user.user.id, est_credits, job.id, session)
if not res.get("success"):
balance = res.get("balance", 0)
raise HTTPException(
status_code=402,
detail={
"code": "INSUFFICIENT_POINTS",
"message": f"积分不足,需要 {est_credits} 积分,当前余额 {balance}",
"required": est_credits,
"balance": balance,
},
)
job.credits_prepaid = est_credits
job.credits_transaction_id = res.get("transaction_id", "") or ""
repo.update(job)
job.resume_from_copy_generated(edited_copy=request.edited_copy or None)
repo.update(job)
@@ -344,6 +388,35 @@ def confirm_copy(
return _to_response(job)
@router.post("/estimate-credits", response_model=EstimateCreditsResponse)
def estimate_credits(
request: EstimateCreditsRequest,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
) -> EstimateCreditsResponse:
"""爆款视频积分预估(纯计算,不扣费、不创建任务)。
返回 estimated_credits 与 formula_breakdown(tokens / video_cost / fixed_cost /
profit_multiplier / model_price / width / height / fps),便于前端展示计费明细。
同时兼容前端传 model 或 video_model、resolution 或 video_resolution、ratio 或 video_ratio。
"""
from packages.domain.points_rules import (
calculate_viral_video_credits_with_breakdown,
resolve_video_dimensions,
)
model = (request.model or "").strip() or "seedance-2.5"
resolution = (request.resolution or "").strip() or "720p"
ratio = (request.ratio or "").strip() or "9:16"
duration = int(request.duration or 15)
w, h = resolve_video_dimensions(resolution, ratio)
credits, bd = calculate_viral_video_credits_with_breakdown(
duration, w, h, model,
)
breakdown = CreditsFormulaBreakdown(**bd)
return EstimateCreditsResponse(estimated_credits=credits, formula_breakdown=breakdown)
@router.get("/history", response_model=ViralVideoHistoryResponse)
def list_viral_video_history(
limit: int = 50,
@@ -397,31 +470,149 @@ def get_viral_video_job(
@router.post("/{job_id}/retry", response_model=ViralVideoJobResponse)
def retry_viral_video_job(
job_id: str,
request: RetryViralVideoRequest | None = None,
authenticated_user: AuthenticatedUser = Depends(get_current_user),
session: Session = Depends(get_db_session),
) -> ViralVideoJobResponse:
"""重试失败的爆款视频任务。"""
"""重试失败的爆款视频任务(也支持对僵尸/超时 running 任务强制重置后重试)。
可选 body (RetryViralVideoRequest):若传入新的 duration/video_resolution/video_ratio/
video_model,会重新预估积分并与原 credits_prepaid 做差额多退少补(不足抛 402 阻止重试);
不传 body 或参数无变化时,保持原参数、原预扣金额不变,仅重置状态并入队。
credits_prepaid 为 0 的老任务首次重试会走预扣流程(与 confirm-copy 一致)。
"""
from datetime import datetime, timezone
repo = _get_job_repo(session)
job = repo.get(job_id)
if job is None:
raise HTTPException(status_code=404, detail="任务不存在")
if job.user_id != authenticated_user.user.id:
raise HTTPException(status_code=403, detail="无权操作此任务")
if job.status != ViralVideoStatus.FAILED:
raise HTTPException(status_code=409, detail="只有失败的任务可以重试")
# 判定是否为僵尸 running 任务:running 超过 10 分钟且心跳停止超过 2 分钟
now = datetime.now(timezone.utc)
is_stale_running = False
if job.status == ViralVideoStatus.RUNNING and job.started_at is not None:
hb = getattr(job, "heartbeat_at", None) or job.updated_at
if (now - job.started_at).total_seconds() > 10 * 60 and hb is not None and (now - hb).total_seconds() > 2 * 60:
is_stale_running = True
if job.status != ViralVideoStatus.FAILED and not is_stale_running:
raise HTTPException(status_code=409, detail="只有失败或超时的任务可以重试")
# ── 参数变更检测 + 积分多退少补 ──────────────────────────────────────
req = request or RetryViralVideoRequest()
new_duration = req.duration
new_resolution = (req.video_resolution or "").strip() or None
new_ratio = (req.video_ratio or "").strip() or None
new_model = (req.video_model or "").strip() or None
old_duration = int(getattr(job, "duration", 15) or 15)
old_resolution = (getattr(job, "video_resolution", "720p") or "720p").strip() or "720p"
old_ratio = (getattr(job, "video_ratio", "9:16") or "9:16").strip() or "9:16"
old_model = (getattr(job, "video_model", "") or "").strip()
# 仅当有任意字段传入且值不同才算"参数变更"
param_changed = bool(
(new_duration is not None and int(new_duration) != old_duration)
or (new_resolution is not None and new_resolution != old_resolution)
or (new_ratio is not None and new_ratio != old_ratio)
or (new_model is not None and new_model != old_model)
)
from app.config import settings as _settings
need_points_settle = False
new_est = 0.0
if _settings.points_enabled and param_changed:
from packages.domain.points_rules import (
calculate_viral_video_credits_with_breakdown,
resolve_video_dimensions,
)
eff_dur = int(new_duration if new_duration is not None else old_duration)
eff_res = new_resolution if new_resolution is not None else old_resolution
eff_ratio = new_ratio if new_ratio is not None else old_ratio
eff_model = new_model if new_model is not None else (old_model or "seedance-2.5")
w, h = resolve_video_dimensions(eff_res, eff_ratio)
new_est, _ = calculate_viral_video_credits_with_breakdown(eff_dur, w, h, eff_model or "seedance-2.5")
need_points_settle = True
# 写入新参数(即使不开 points 也要允许用户重试时改参数)
if new_duration is not None:
job.duration = max(5, min(30, int(new_duration)))
if new_resolution is not None:
job.video_resolution = new_resolution
if new_ratio is not None:
job.video_ratio = new_ratio
if new_model is not None:
job.video_model = new_model
if need_points_settle:
from packages.domain.points_service import PointsService
old_prepaid = float(getattr(job, "credits_prepaid", 0) or 0)
svc = PointsService()
diff = round(new_est - old_prepaid, 2)
if abs(diff) >= 0.01:
if diff > 0:
# 新预扣更多:补扣差额
res = svc.deduct_viral_video(authenticated_user.user.id, diff, job.id, session)
if not res.get("success"):
balance = res.get("balance", 0)
raise HTTPException(
status_code=402,
detail={
"code": "INSUFFICIENT_POINTS",
"message": f"重试参数变更后需补扣 {diff} 积分,余额不足(当前 {balance},需 {new_est})",
"required": new_est,
"balance": balance,
"delta": diff,
},
)
job.credits_prepaid = round(old_prepaid + diff, 2)
logger.info(
"[爆款视频][retry] 补扣差额 job_id=%s diff=%.2f new_prepaid=%.2f",
job.id, diff, job.credits_prepaid,
)
else:
# 新预扣更少:退还差额
refund = round(-diff, 2)
txn_id = getattr(job, "credits_transaction_id", "") or ""
svc.refund_points(
user_id=authenticated_user.user.id,
amount=refund,
source="viral_video",
db=session,
ref_id=txn_id or job.id,
description="爆款视频重试参数变更退费",
)
job.credits_prepaid = round(old_prepaid - refund, 2)
logger.info(
"[爆款视频][retry] 退还差额 job_id=%s refund=%.2f new_prepaid=%.2f",
job.id, refund, job.credits_prepaid,
)
# 差额为 0 则不调整
# 重置状态
job.retry_count += 1
job.status = ViralVideoStatus.PENDING
job.error_msg = ""
job.error_msg = "" if not is_stale_running else "任务执行超时,已重置重试"
job.started_at = None
job.completed_at = None
job.current_stage = ""
job.phase_message = ""
job.heartbeat_at = None
repo.update(job)
# 重新入队
try:
celery_app.send_task("worker.run_viral_video_pipeline", args=[job.id])
logger.info("[爆款视频] 重试入队: job_id=%s retry_count=%d", job.id, job.retry_count)
logger.info(
"[爆款视频] 重试入队: job_id=%s retry_count=%d stale=%s params_changed=%s",
job.id, job.retry_count, is_stale_running, param_changed,
)
except Exception as e:
logger.error("[爆款视频] 重试入队失败: %s", e, exc_info=True)
job.mark_failed(f"重试入队失败: {e}")
+10 -10
View File
@@ -13,9 +13,9 @@ from pydantic import BaseModel, Field
class PointsBalanceResponse(BaseModel):
"""积分余额 + 会员状态"""
balance: int = Field(..., description="当前积分余额")
total_earned: int = Field(..., description="累计获得积分")
total_spent: int = Field(..., description="累计消耗积分")
balance: float = Field(..., description="当前积分余额")
total_earned: float = Field(..., description="累计获得积分")
total_spent: float = Field(..., description="累计消耗积分")
is_member: bool = Field(default=False, description="是否付费会员")
member_type: Optional[str] = Field(None, description="会员类型: monthly/quarterly/yearly")
member_expires_at: Optional[datetime] = Field(None, description="会员到期时间")
@@ -30,8 +30,8 @@ class PointsTransactionItem(BaseModel):
id: str
type: str = Field(..., description="类型: add/deduct")
source: str = Field(..., description="来源场景")
amount: int
balance_after: int
amount: float
balance_after: float
description: str = ""
ref_id: str = ""
created_at: Optional[str] = None
@@ -99,9 +99,9 @@ class PointsCheckResponse(BaseModel):
"""消费前余额检查响应"""
allowed: bool
required_points: int
current_balance: int
remaining_after: int
required_points: float
current_balance: float
remaining_after: float
is_free_quota: bool = False
@@ -112,7 +112,7 @@ class PointsDeductRequest(BaseModel):
"""积分扣减请求"""
scene_key: str
amount: int
amount: float
description: Optional[str] = ""
ref_id: Optional[str] = ""
@@ -170,7 +170,7 @@ class MembershipStatusResponse(BaseModel):
is_member: bool
member_type: Optional[str] = None
member_expires_at: Optional[datetime] = None
points_balance: int
points_balance: float
max_resolution: str = Field(
default="1080p",
description="可用最高分辨率: 720p(free) / 1080p(paid)",
+58 -1
View File
@@ -22,6 +22,7 @@ VALID_STAGES = (
)
VALID_VIDEO_RATIOS = ("9:16", "16:9", "1:1", "4:3", "3:4", "21:9")
VALID_DURATIONS = (5, 10, 15, 20, 25, 30)
VALID_VIDEO_RESOLUTIONS = ("480p", "720p", "1080p", "普清", "高清", "超清")
# -- 编导脚本结构(v1.6) --
@@ -88,6 +89,7 @@ class CreateViralVideoRequest(BaseModel):
voice_source: str = ""
video_ratio: str = "9:16"
video_model: str = ""
video_resolution: str = "720p"
@field_validator("fusion_level")
@classmethod
@@ -117,6 +119,7 @@ class AnalyzeImagesRequest(BaseModel):
voice_source: str = ""
video_ratio: str = "9:16"
video_model: str = ""
video_resolution: str = "720p"
duration: int = Field(default=15, ge=5, le=30)
@@ -141,6 +144,7 @@ class GenerateCopyRequest(BaseModel):
voice_source: str = ""
video_ratio: str = "9:16"
video_model: str = ""
video_resolution: str = "720p"
@field_validator("fusion_level")
@classmethod
@@ -218,7 +222,9 @@ class ViralVideoJobResponse(BaseModel):
video_model: str = ""
intent_result: dict | None = None
result_video_url: str = ""
credits_cost: int = 0
video_resolution: str = "720p"
credits_prepaid: float = 0.0
credits_cost: float = 0.0
error_msg: str = ""
retry_count: int = 0
started_at: datetime | None = None
@@ -250,6 +256,57 @@ class AnalyzeStyleResponse(BaseModel):
style_guide: dict | None = None
# -- 积分预估 --
class EstimateCreditsRequest(BaseModel):
"""爆款视频积分预估请求。
前端可传 model 或 video_model(兼容老字段);resolution/ratio/duration 为预估所需参数。
"""
model: str = Field(default="", alias="video_model")
resolution: str = Field(default="720p", alias="video_resolution")
ratio: str = Field(default="9:16", alias="video_ratio")
duration: int = Field(default=15, ge=5, le=30)
model_config = {"populate_by_name": True}
class CreditsFormulaBreakdown(BaseModel):
"""爆款视频积分计费公式明细(前端展示用)。"""
tokens: float = Field(..., description="估算视频 tokens 数 (duration*width*height*fps/1024)")
video_cost: float = Field(..., description="视频生成成本(元)= tokens/1e6 * model_price")
fixed_cost: float = Field(..., description="固定成本(元),含 VLM/LLM/TTS/OSS/服务器")
profit_multiplier: float = Field(..., description="利润系数(默认 1.3)")
model_price: float = Field(..., description="模型单价(元/百万 tokens)")
width: int = Field(..., description="视频宽度像素")
height: int = Field(..., description="视频高度像素")
fps: int = Field(..., description="视频帧率")
class EstimateCreditsResponse(BaseModel):
"""爆款视频积分预估响应。"""
estimated_credits: float
formula_breakdown: CreditsFormulaBreakdown = Field(..., description="计费公式明细")
class RetryViralVideoRequest(BaseModel):
"""重试爆款视频任务的请求体(可选,允许改参数重新预估积分多退少补)。
不传 body 或字段全缺省:保持原参数、不重新扣点,走默认重置+入队逻辑。
传入新的 duration/video_resolution/video_ratio/video_model:重新预估积分,
与原 credits_prepaid 比较后多退少补(差额补扣不足抛 402)。
"""
duration: int | None = Field(default=None, ge=5, le=30, description="重试时新的视频时长(秒)")
video_resolution: str | None = Field(default=None, description="重试时新的分辨率,如 720p/1080p")
video_ratio: str | None = Field(default=None, description="重试时新的画幅比,如 9:16/16:9")
video_model: str | None = Field(default=None, description="重试时新的视频模型,如 seedance-2.5")
# -- WebSocket 事件 Schema --
@@ -11,14 +11,12 @@
存储路径与元信息约定),返回 asset_id —— 下游仍以 voice_library_id(实为
audio asset id)消费,渲染链路零改动。
积分扣点与 /tts 合成端点保持一致(ai_voice 场景),失败退费。
"""
from __future__ import annotations
import json
import logging
import math
import subprocess
import tempfile
from dataclasses import dataclass
@@ -32,13 +30,10 @@ from packages.application.cosyvoice_service import CosyVoiceService
from packages.application.tts_job.use_cases import CreateTTSJobUseCase
from packages.application.tts_job.workflow import TTSWorkflowService
from packages.domain import Asset, AssetLibrary, AssetLibraryKind, AssetStatus, ClassificationStatus
from packages.domain.points_rules import calculate_points_cost
from packages.domain.points_service import PointsService
from packages.shared.storage import SharedStorageService
logger = logging.getLogger(__name__)
_POINTS_SCENE = "ai_voice"
_SYNTH_TIMEOUT = 180.0 # 叙事配音在 HTTP 请求内同步等待,长文案分段合成时留出余量
_CONTENT_TYPE_MAP = {"mp3": "audio/mpeg", "wav": "audio/wav", "pcm": "audio/pcm", "opus": "audio/opus"}
@@ -273,24 +268,6 @@ def prepare_narrative_voice(
voice_clone_repository=voice_clone_repository,
)
# 积分扣点(与 /tts 合成端点同口径),失败时在合成失败分支退费
points_svc = PointsService() if points_enabled else None
points_deducted = 0
if points_svc is not None:
est_minutes = max(1.0, math.ceil(len(content) / 240))
points_deducted = calculate_points_cost(
_POINTS_SCENE,
is_member=is_member,
duration_minutes=est_minutes,
member_type=member_type,
)
deduct_res = points_svc.deduct_points(user_id, points_deducted, _POINTS_SCENE, db)
if not deduct_res["success"]:
raise NarrativeError(
f"积分不足,需要 {points_deducted} 积分,当前余额 {deduct_res['balance']}",
status_code=402,
)
use_case = CreateTTSJobUseCase(tts_repository)
job = use_case.execute(
user_id=user_id,
@@ -311,19 +288,9 @@ def prepare_narrative_voice(
workflow.process_synthesis_failure(job.id, str(e))
except Exception: # noqa: BLE001
logger.warning("标记叙事 TTS job 失败出错: job_id=%s", job.id, exc_info=True)
if points_deducted and points_svc is not None:
try:
points_svc.refund_points(user_id, points_deducted, _POINTS_SCENE, db, ref_id=job.id)
except Exception: # noqa: BLE001
logger.warning("叙事 TTS 失败退积分异常: job_id=%s", job.id, exc_info=True)
raise NarrativeError(f"配音合成失败:{e}", status_code=502) from e
if not job.is_completed:
if points_deducted and points_svc is not None:
try:
points_svc.refund_points(user_id, points_deducted, _POINTS_SCENE, db, ref_id=job.id)
except Exception: # noqa: BLE001
logger.warning("叙事 TTS 未完成退积分异常: job_id=%s", job.id, exc_info=True)
raise NarrativeError("配音合成未完成,请稍后重试", status_code=504)
asset = _save_tts_job_as_voice_asset(
+11
View File
@@ -51,6 +51,17 @@ export function analyzeViralStyle(id: string) {
return apiClient.post<ViralVideoJob>(`/viral-video/${id}/analyze-style`).then((r) => r.data)
}
/** 动态预估积分消耗(STEP3 参数变化时调用) */
export function estimateViralVideoCredits(params: {
video_model: string
resolution: string
video_ratio: string
duration: number
}) {
return apiClient
.post<{ estimated_credits: number }>("/viral-video/estimate-credits", params)
.then((r) => r.data)
}
/** ── 三步拆分:前端 mock 辅助函数(后端新接口上线后可替换) ── */
/**
File diff suppressed because it is too large Load Diff
+279 -197
View File
@@ -1,4 +1,5 @@
import React, { useCallback, useEffect, useRef, useState } from "react"
import axios from "axios"
import {
PlusOutlined,
CloseOutlined,
@@ -46,6 +47,7 @@ import {
analyzeViralImages,
generateViralCopy,
confirmViralCopy,
estimateViralVideoCredits,
} from "@/api/viral-video"
import { useViralVideoPolling } from "./hooks/useViralVideoPolling"
import CloneModal from "@/components/voice/CloneModal"
@@ -71,7 +73,7 @@ type UploadedImage = {
localId: string
url: string
name: string
size: number
size: number | undefined
uploading: boolean
pct: number
ossUrl?: string
@@ -123,6 +125,9 @@ type TabTask = {
videoModel: string
quality: string
upscale: string
// 积分预估
estimatedCredits: number | null // null=加载中/未发起;浮点数,展示时 toFixed(2)
estimatedCreditsError: boolean // true=接口失败显示 --
// UI 状态
uiStep: UIStep
imageAnalysis: ImageAnalysisResult | null
@@ -151,7 +156,18 @@ const TARGET_CUSTOMERS = [
"都市蓝领",
"都市银发",
]
const PERSONAS = ["亲切邻家姐姐", "专业顾问", "搞笑段子手", "真实测评博主", "闺蜜种草", "行业专家"]
const PERSONAS = [
"通用个人IP",
"老板型IP",
"专家型IP",
"顾问型IP",
"创始人IP",
"创业者IP",
"从业者经验派",
"避坑顾问型",
"知识科普型",
"测评种草型",
]
const STRUCTURES = [
"反差破局+亮明观点+还原现状",
"痛点场景植入+给出通关秘籍",
@@ -173,7 +189,28 @@ const STRUCTURES = [
"连续否定+代入感受+打破认知+精准戳痛",
"揭秘行业+类比施压+放大焦虑+精准锁客",
]
const PURPOSES = ["品牌种草", "新品上市", "促销转化", "活动引流"]
const PURPOSES = [
"获客引流",
"账号涨粉",
"活动通知",
"口播带货",
"促销转化",
"场景种草",
"痛点解决",
"功能演示",
"门店发现",
"到店实录",
"招牌体验",
"同城团购",
"品牌主张",
"品牌故事",
"生活方式",
"创意概念",
"对话短剧",
"反转短剧",
"悬念短剧",
"情绪短片",
]
const DURATIONS = [15, 20, 30, 45, 60]
const RATIOS = [
{ v: "9:16", label: "9:16 竖屏(抖音/视频号)" },
@@ -190,8 +227,11 @@ const QUALITY_OPTIONS = [
{ v: "1080p", label: "1080p(高清)" },
]
const UPSCALE_OPTIONS = [
{ v: "关闭", label: "关闭" },
{ v: "开启", label: "开启" },
{ v: "default", label: "默认" },
{ v: "sd", label: "普清" },
{ v: "hd", label: "高清" },
{ v: "uhd", label: "超清" },
{ v: "omnipotent", label: "全能" },
]
const VOICE_TIPS =
"支持 MP3/WAV/M4A/AAC/OGG 格式,最大 10MB,时长 ≤30 秒。建议清晰人声、无背景音乐、环境安静;录音请保持距麦克风 15-20cm,音量适中。"
@@ -331,7 +371,8 @@ const MOCK_STORYBOARD: Storyboard = {
"还在为餐桌选不到好桌子发愁?这张北美黑胡桃木餐桌,一家人坐下来吃饭刚刚好。全实木、无贴皮,纹理好看又耐刮。点小黄车,给家里添一张好桌子。",
}
const fmtSize = (bytes: number) => {
const fmtSize = (bytes: number | undefined) => {
if (!bytes || bytes <= 0) return "--"
if (bytes < 1024) return `${bytes}B`
if (bytes < 1024 * 1024) return `${(bytes / 1024).toFixed(1)}KB`
return `${(bytes / 1024 / 1024).toFixed(1)}MB`
@@ -352,13 +393,15 @@ const emptyTask = (id: string, title: string): TabTask => ({
targetCustomer: "",
language: "中文(普通话)",
viralStructure: STRUCTURES[0],
marketingPurpose: PURPOSES[0],
marketingPurpose: "",
duration: 15,
persona: "",
videoRatio: "9:16",
videoModel: "seedance-2.5",
quality: "480p",
upscale: "关闭",
upscale: "default",
estimatedCredits: null,
estimatedCreditsError: false,
uiStep: "step1_upload",
imageAnalysis: null,
storyboard: null,
@@ -400,7 +443,6 @@ const ViralVideoPage: React.FC = () => {
const [tasks, setTasks] = useState<TabTask[]>(() => [emptyTask("t1", "生成 1")])
const [activeId, setActiveId] = useState<string>("t1")
const [cloneModalOpen, setCloneModalOpen] = useState(false)
const [voOpen, setVoOpen] = useState(false) // 口播稿折叠
const [voiceAssets, setVoiceAssets] = useState<
{ id: string; name: string; url: string; desc?: string }[]
>([])
@@ -529,6 +571,50 @@ const ViralVideoPage: React.FC = () => {
)
useViralVideoPolling(task.jobId, onPollUpdate)
/* ── 积分动态预估:STEP2文案生成完成后首次调用;STEP3参数变化时防抖300ms刷新 ── */
const creditsTimerRef = useRef<ReturnType<typeof setTimeout> | null>(null)
const creditsAbortRef = useRef<number>(0)
useEffect(() => {
const creditsReady =
task.uiStep === "step2_copy_ready" ||
task.uiStep === "step3_ready" ||
task.uiStep === "step3_generating" ||
task.uiStep === "step3_done" ||
task.uiStep === "failed"
if (!creditsReady) {
// 未到可预估阶段:清空状态
if (task.estimatedCredits !== null || task.estimatedCreditsError) {
setTask({ estimatedCredits: null, estimatedCreditsError: false })
}
return
}
// 防抖 300ms
if (creditsTimerRef.current) clearTimeout(creditsTimerRef.current)
const seq = ++creditsAbortRef.current
creditsTimerRef.current = setTimeout(async () => {
try {
const res = await estimateViralVideoCredits({
video_model: task.videoModel,
resolution: task.quality,
video_ratio: task.videoRatio,
duration: task.duration,
})
if (seq !== creditsAbortRef.current) return
setTask({
estimatedCredits: res.estimated_credits,
estimatedCreditsError: false,
})
} catch {
if (seq !== creditsAbortRef.current) return
setTask({ estimatedCredits: null, estimatedCreditsError: true })
}
}, 300)
return () => {
if (creditsTimerRef.current) clearTimeout(creditsTimerRef.current)
}
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [task.videoModel, task.quality, task.videoRatio, task.duration, task.uiStep])
/* ── OSS 上传 ── */
const uploadFile = useCallback(
async (file: File, kind: "image" | "video" | "voice", onProgress?: (pct: number) => void) => {
@@ -546,8 +632,6 @@ const ViralVideoPage: React.FC = () => {
)
/* ── 图片 ── */
const canEditAssets = task.uiStep === "step1_upload" || task.uiStep === "failed"
const appendImagesFromFiles = useCallback(
async (files: FileList | File[]) => {
const remaining = 9 - task.images.length
@@ -583,7 +667,15 @@ const ViralVideoPage: React.FC = () => {
setTask((t) => ({
...t,
images: t.images.map((im) =>
im.localId === item.localId ? { ...im, uploading: false, pct: 100, ossUrl: url } : im,
im.localId === item.localId
? {
...im,
uploading: false,
pct: 100,
ossUrl: url,
size: item.file!.size || im.size,
}
: im,
),
}))
} catch {
@@ -604,7 +696,7 @@ const ViralVideoPage: React.FC = () => {
localId: `lib_${a.id}_${Math.random().toString(36).slice(2, 6)}`,
url: a.thumbnail_url || a.file_url || "",
name: a.name || "未命名",
size: a.file_size || 0,
size: a.file_size || undefined,
uploading: false,
pct: 100,
ossUrl: a.file_url || undefined,
@@ -841,7 +933,9 @@ const ViralVideoPage: React.FC = () => {
duration: task.duration,
persona_id: task.persona || undefined,
user_copy_text:
task.fusionLevel === "user_primary" && task.userCopy ? task.userCopy : undefined,
(task.fusionLevel === "user_primary" || task.fusionLevel === "ai_polish") && task.userCopy
? task.userCopy
: undefined,
fusion_level: task.fusionLevel,
style_strength: task.refVideo?.ossUrl ? task.styleStrength : undefined,
voice_id: task.refAudio?.source === "preset" ? task.refAudio.id : undefined,
@@ -903,8 +997,21 @@ const ViralVideoPage: React.FC = () => {
setTask({ job, jobId: job.id })
message.success("视频已提交生成,预计 1-3 分钟…")
} catch (err: unknown) {
message.error(err instanceof Error ? err.message : "提交失败")
setTask({ uiStep: "failed", videoError: err instanceof Error ? err.message : "提交失败" })
// 402 Payment Required → 积分不足
if (axios.isAxiosError(err) && err.response?.status === 402) {
const detail =
(err.response.data as { detail?: string; message?: string; msg?: string } | undefined)
?.detail ||
(err.response.data as { detail?: string; message?: string; msg?: string } | undefined)
?.message ||
"积分不足,请充值"
message.error(detail)
setTask({ uiStep: "step3_ready", videoError: detail })
return
}
const msg = err instanceof Error ? err.message : "提交失败"
message.error(msg)
setTask({ uiStep: "failed", videoError: msg })
}
}
@@ -948,10 +1055,6 @@ const ViralVideoPage: React.FC = () => {
const outputUrl = task.job?.output_url || task.job?.result_video_url
const errMsg = task.videoError || task.job?.error_message || task.job?.error_msg
const canEditStep2 =
task.uiStep !== "step2_generating" &&
task.uiStep !== "step3_generating" &&
task.uiStep !== "step3_done"
const step2Enabled =
task.uiStep === "step1_done" ||
task.uiStep === "step2_generating" ||
@@ -975,7 +1078,7 @@ const ViralVideoPage: React.FC = () => {
return (
<div className="vv-recog">
<div className="vv-recog-title">
<LoadingOutlined style={{ color: "#22d3ee", marginRight: 6 }} />
<LoadingOutlined style={{ color: "#7c3aed", marginRight: 6 }} />
识别描述汇览
</div>
<div className="vv-muted">AI 正在识别商品特征…</div>
@@ -997,7 +1100,7 @@ const ViralVideoPage: React.FC = () => {
{products.map((p, i) => (
<div key={i} className="vv-recog-item">
<div className="vv-recog-line">
<span className="vv-recog-k">商品:</span>
<span className="vv-recog-k">图片{i + 1}:</span>
<span>
{p.name || "未识别"}
{p.spec && <span className="vv-recog-meta">({p.spec})</span>}
@@ -1142,7 +1245,7 @@ const ViralVideoPage: React.FC = () => {
) {
return null
}
const locked = task.uiStep === "step3_generating" || task.uiStep === "step3_done"
const locked = false
const isMockPreview = sb === MOCK_STORYBOARD
return (
@@ -1150,46 +1253,46 @@ const ViralVideoPage: React.FC = () => {
<div className="vv-sb-doc">
{/* 视频总览 */}
<h4 className="vv-sb-h">视频总览</h4>
<div className="vv-sb-kv">
<span className="vv-sb-k">整体主题:</span>
<p className="vv-sb-overview">
<strong>整体主题:</strong>
<input
className="vv-sb-inline vv-sb-inline-input"
className="vv-sb-inline-text"
value={sb.overview.theme}
disabled={locked}
onChange={(e) => updateOverview({ theme: e.target.value })}
/>
</div>
<div className="vv-sb-kv">
<span className="vv-sb-k">总时长:</span>
<span className="vv-sb-sep">·</span>
<strong>总时长:</strong>
<input
className="vv-sb-inline vv-sb-inline-input"
className="vv-sb-inline-text vv-sb-inline-text-sm"
value={sb.overview.total_duration}
disabled={locked}
onChange={(e) => updateOverview({ total_duration: e.target.value })}
/>
</div>
<div className="vv-sb-kv">
<span className="vv-sb-k">画幅:</span>
<span className="vv-sb-sep">·</span>
<strong>画幅:</strong>
<Select
className="vv-select vv-sb-inline-select"
style={{ width: 200 }}
style={{ width: 120 }}
value={sb.overview.aspect_ratio}
disabled={locked}
onChange={(v) => updateOverview({ aspect_ratio: v })}
options={RATIOS.map((r) => ({ value: r.v, label: r.v }))}
variant="borderless"
/>
</div>
</p>
{/* 场景与光线 */}
<h4 className="vv-sb-h">场景与光线</h4>
<textarea
className="vv-textarea vv-sb-doc-ta"
value={sb.scene_and_lighting}
disabled={locked}
onChange={(e) => updateStoryboard({ scene_and_lighting: e.target.value })}
placeholder="描述整体场景氛围、光线方向与色温…"
/>
<p className="vv-sb-para">
<textarea
className="vv-textarea vv-sb-doc-ta vv-sb-doc-ta-block"
value={sb.scene_and_lighting}
disabled={locked}
onChange={(e) => updateStoryboard({ scene_and_lighting: e.target.value })}
placeholder="描述整体场景氛围、光线方向与色温…"
/>
</p>
{/* 逐镜头 */}
<h4 className="vv-sb-h">逐秒镜头拆解</h4>
@@ -1201,64 +1304,62 @@ const ViralVideoPage: React.FC = () => {
: undefined
return (
<div key={idx} className="vv-sb-doc-shot">
<div className="vv-sb-doc-shot-head">
<input
className="vv-sb-time-doc"
value={sh.time_range}
disabled={locked}
onChange={(e) => updateShot(idx, { time_range: e.target.value })}
placeholder="0-3秒"
/>
</div>
<div className="vv-sb-kv">
<span className="vv-sb-k">景别/角度与运镜:</span>
<input
className="vv-sb-time-doc"
value={sh.time_range}
disabled={locked}
onChange={(e) => updateShot(idx, { time_range: e.target.value })}
placeholder="0-3秒"
/>
<p className="vv-sb-field">
<strong className="vv-sb-field-k">景别/角度与运镜:</strong>
<textarea
className="vv-textarea vv-sb-doc-ta vv-sb-doc-ta-sm"
className="vv-textarea vv-sb-doc-ta vv-sb-doc-ta-sm vv-sb-doc-ta-inline"
value={sh.shot_type_angle_movement}
disabled={locked}
onChange={(e) =>
updateShot(idx, { shot_type_angle_movement: e.target.value })
}
/>
</div>
<div className="vv-sb-kv">
<span className="vv-sb-k">场景与对白:</span>
</p>
<p className="vv-sb-field">
<strong className="vv-sb-field-k">场景与对白:</strong>
<textarea
className="vv-textarea vv-sb-doc-ta"
className="vv-textarea vv-sb-doc-ta vv-sb-doc-ta-inline"
value={sh.scene_and_dialogue}
disabled={locked}
onChange={(e) => updateShot(idx, { scene_and_dialogue: e.target.value })}
/>
</div>
<div className="vv-sb-kv">
<span className="vv-sb-k">动作与真人细节:</span>
</p>
<p className="vv-sb-field">
<strong className="vv-sb-field-k">动作与真人细节:</strong>
<textarea
className="vv-textarea vv-sb-doc-ta vv-sb-doc-ta-sm"
className="vv-textarea vv-sb-doc-ta vv-sb-doc-ta-sm vv-sb-doc-ta-inline"
value={sh.action_details}
disabled={locked}
onChange={(e) => updateShot(idx, { action_details: e.target.value })}
/>
</div>
<div className="vv-sb-kv">
<span className="vv-sb-k">音效/BGM:</span>
</p>
<p className="vv-sb-field">
<strong className="vv-sb-field-k">音效/BGM:</strong>
<textarea
className="vv-textarea vv-sb-doc-ta vv-sb-doc-ta-sm"
className="vv-textarea vv-sb-doc-ta vv-sb-doc-ta-sm vv-sb-doc-ta-inline"
value={sh.audio_bgm}
disabled={locked}
onChange={(e) => updateShot(idx, { audio_bgm: e.target.value })}
/>
</div>
<div className="vv-sb-kv">
<span className="vv-sb-k">转场:</span>
</p>
<p className="vv-sb-field">
<strong className="vv-sb-field-k">转场:</strong>
<textarea
className="vv-textarea vv-sb-doc-ta vv-sb-doc-ta-sm"
className="vv-textarea vv-sb-doc-ta vv-sb-doc-ta-sm vv-sb-doc-ta-inline"
value={sh.transition}
disabled={locked}
onChange={(e) => updateShot(idx, { transition: e.target.value })}
/>
</div>
<div className="vv-sb-kv vv-sb-kv-ref">
<span className="vv-sb-k">参考图片:</span>
</p>
<p className="vv-sb-field vv-sb-ref-row">
<strong className="vv-sb-field-k">参考图片:</strong>
{refImg?.url ? (
<span className="vv-sb-ref-badge">
<img src={refImg.url} alt={`ref-${idx}`} className="vv-sb-ref-thumb" />
@@ -1288,7 +1389,7 @@ const ViralVideoPage: React.FC = () => {
) : (
<span className="vv-sb-muted">未指定</span>
)}
</div>
</p>
</div>
)
})}
@@ -1296,71 +1397,72 @@ const ViralVideoPage: React.FC = () => {
{/* 硬性约束 */}
<h4 className="vv-sb-h">硬性约束</h4>
<div className="vv-sb-taglist">
{sb.hard_constraints.map((c, i) => (
<span key={i} className="vv-sb-tag vv-sb-tag-hard">
<input
className="vv-sb-tag-input"
value={c}
disabled={locked}
onChange={(e) => updateConstraints("hard_constraints", i, e.target.value)}
/>
{!locked && (
<button
className="vv-sb-tag-del"
onClick={() => removeConstraint("hard_constraints", i)}
aria-label="删除"
>
×
</button>
)}
</span>
))}
{!locked && (
<button className="vv-sb-tag-add" onClick={() => addConstraint("hard_constraints")}>
+ 添加
</button>
)}
<div className="vv-sb-tags-block">
<div className="vv-sb-taglist">
{sb.hard_constraints.map((c, i) => (
<span key={i} className="vv-sb-tag vv-sb-tag-hard">
<input
className="vv-sb-tag-input"
value={c}
disabled={locked}
onChange={(e) => updateConstraints("hard_constraints", i, e.target.value)}
/>
{!locked && (
<button
className="vv-sb-tag-del"
onClick={() => removeConstraint("hard_constraints", i)}
aria-label="删除"
>
×
</button>
)}
</span>
))}
{!locked && (
<button className="vv-sb-tag-add" onClick={() => addConstraint("hard_constraints")}>
+ 添加
</button>
)}
</div>
</div>
{/* 负面提示词 */}
<h4 className="vv-sb-h">负面提示词</h4>
<div className="vv-sb-taglist">
{sb.negative_prompts.map((c, i) => (
<span key={i} className="vv-sb-tag vv-sb-tag-neg">
<input
className="vv-sb-tag-input"
value={c}
disabled={locked}
onChange={(e) => updateConstraints("negative_prompts", i, e.target.value)}
/>
{!locked && (
<button
className="vv-sb-tag-del"
onClick={() => removeConstraint("negative_prompts", i)}
aria-label="删除"
>
×
</button>
)}
</span>
))}
{!locked && (
<button className="vv-sb-tag-add" onClick={() => addConstraint("negative_prompts")}>
+ 添加
</button>
)}
<div className="vv-sb-tags-block">
<div className="vv-sb-taglist">
{sb.negative_prompts.map((c, i) => (
<span key={i} className="vv-sb-tag vv-sb-tag-neg">
<input
className="vv-sb-tag-input"
value={c}
disabled={locked}
onChange={(e) => updateConstraints("negative_prompts", i, e.target.value)}
/>
{!locked && (
<button
className="vv-sb-tag-del"
onClick={() => removeConstraint("negative_prompts", i)}
aria-label="删除"
>
×
</button>
)}
</span>
))}
{!locked && (
<button className="vv-sb-tag-add" onClick={() => addConstraint("negative_prompts")}>
+ 添加
</button>
)}
</div>
</div>
{/* 完整口播稿(可折叠) */}
{/* 完整口播稿 */}
<h4 className="vv-sb-h">
<button className="vv-sb-doc-collapse" onClick={() => setVoOpen(!voOpen)} type="button">
<SoundOutlined style={{ color: "#22d3ee", marginRight: 6 }} />
完整口播稿(TTS 合成使用)
<span className={`vv-sb-caret ${voOpen ? "open" : ""}`}>▾</span>
</button>
<SoundOutlined style={{ color: "#7c3aed", marginRight: 6 }} />
完整口播稿(TTS 合成使用)
</h4>
{voOpen && (
<div className="vv-sb-vo-wrap">
<textarea
className="vv-textarea vv-sb-doc-ta vv-sb-vo"
value={sb.voiceover_script}
@@ -1368,7 +1470,7 @@ const ViralVideoPage: React.FC = () => {
onChange={(e) => updateStoryboard({ voiceover_script: e.target.value })}
placeholder="AI 合成配音用的完整口播稿…"
/>
)}
</div>
</div>
<div className="vv-sb-actions">
@@ -1430,17 +1532,12 @@ const ViralVideoPage: React.FC = () => {
<div className="vv-section-body" style={{ paddingTop: 4 }}>
{/* 图片按钮 */}
<div className="vv-action-row">
<button
className="vv-action-btn"
onClick={() => imgInputRef.current?.click()}
disabled={!canEditAssets}
>
<button className="vv-action-btn" onClick={() => imgInputRef.current?.click()}>
<UploadOutlined /> 本地上传
</button>
<button
className="vv-action-btn"
onClick={() => setAssetPicker({ open: true, kind: "image", multiple: true })}
disabled={!canEditAssets}
>
<FolderOpenOutlined /> 从素材库选择图片
</button>
@@ -1462,7 +1559,7 @@ const ViralVideoPage: React.FC = () => {
已选 <strong style={{ color: "#111827" }}>{task.images.length}</strong>/9
</span>
{task.images.length > 0 && (
<button className="vv-link-btn" onClick={clearImages} disabled={!canEditAssets}>
<button className="vv-link-btn" onClick={clearImages}>
清空图片
</button>
)}
@@ -1495,7 +1592,7 @@ const ViralVideoPage: React.FC = () => {
<button
className="vv-icon-btn"
onClick={() => moveImg(i, -1)}
disabled={i === 0 || im.uploading || !canEditAssets}
disabled={i === 0 || im.uploading}
title="上移"
>
<ArrowUpOutlined />
@@ -1503,7 +1600,7 @@ const ViralVideoPage: React.FC = () => {
<button
className="vv-icon-btn"
onClick={() => moveImg(i, 1)}
disabled={i === task.images.length - 1 || im.uploading || !canEditAssets}
disabled={i === task.images.length - 1 || im.uploading}
title="下移"
>
<ArrowDownOutlined />
@@ -1511,7 +1608,7 @@ const ViralVideoPage: React.FC = () => {
<button
className="vv-icon-btn vv-icon-btn-danger"
onClick={() => removeImg(im.localId)}
disabled={im.uploading || !canEditAssets}
disabled={!!im.uploading}
title="删除"
>
<CloseOutlined />
@@ -1530,11 +1627,7 @@ const ViralVideoPage: React.FC = () => {
<span className="vv-subblock-hint">最大 200MB · 最长 120 秒</span>
</div>
<div className="vv-action-row">
<button
className="vv-action-btn"
onClick={() => videoInputRef.current?.click()}
disabled={!canEditAssets}
>
<button className="vv-action-btn" onClick={() => videoInputRef.current?.click()}>
<UploadOutlined /> 本地上传视频
</button>
<button
@@ -1542,7 +1635,6 @@ const ViralVideoPage: React.FC = () => {
onClick={() =>
setTask({ voicePanel: task.voicePanel === "douyin" ? null : "douyin" })
}
disabled={!canEditAssets}
>
<LinkOutlined /> 抖音链接识别
</button>
@@ -1593,11 +1685,7 @@ const ViralVideoPage: React.FC = () => {
</div>
)}
</div>
<button
className="vv-link-btn"
onClick={removeRefVideo}
disabled={!canEditAssets}
>
<button className="vv-link-btn" onClick={removeRefVideo}>
删除重传
</button>
{task.refVideo.ossUrl && (
@@ -1611,7 +1699,6 @@ const ViralVideoPage: React.FC = () => {
key={s.value}
className={`vv-pill ${task.styleStrength === s.value ? "active" : ""}`}
onClick={() => setTask({ styleStrength: s.value })}
disabled={!canEditAssets}
>
{s.label}
</button>
@@ -1634,7 +1721,6 @@ const ViralVideoPage: React.FC = () => {
<button
className={`vv-audio-cell ${task.refAudio?.source === "preset" ? "selected" : ""}`}
onClick={() => setVoicePickerOpen(true)}
disabled={!canEditAssets}
>
<FileTextOutlined className="vv-audio-ic" />
<span>选择内置音色</span>
@@ -1642,7 +1728,6 @@ const ViralVideoPage: React.FC = () => {
<button
className={`vv-audio-cell ${task.voicePanel === "upload" ? "active" : ""} ${task.refAudio?.source === "upload" ? "selected" : ""}`}
onClick={() => voiceInputRef.current?.click()}
disabled={!canEditAssets}
>
<UploadOutlined className="vv-audio-ic" />
<span>本地上传</span>
@@ -1650,7 +1735,6 @@ const ViralVideoPage: React.FC = () => {
<button
className={`vv-audio-cell ${task.voicePanel === "library" ? "active" : ""} ${task.refAudio?.source === "library" ? "selected" : ""}`}
onClick={() => setAssetPicker({ open: true, kind: "voice", multiple: false })}
disabled={!canEditAssets}
>
<FolderOpenOutlined className="vv-audio-ic" />
<span>从素材库选择</span>
@@ -1658,7 +1742,6 @@ const ViralVideoPage: React.FC = () => {
<button
className={`vv-audio-cell ${task.voicePanel === "record" ? "active" : ""} ${task.refAudio?.source === "clone" ? "selected" : ""}`}
onClick={() => setCloneModalOpen(true)}
disabled={!canEditAssets}
>
<AudioMutedOutlined className="vv-audio-ic" />
<span>直接录音</span>
@@ -1676,13 +1759,9 @@ const ViralVideoPage: React.FC = () => {
/>
{task.refAudio && (
<div className="vv-selected-audio">
<SoundOutlined style={{ color: "#22d3ee", marginRight: 6 }} />
<SoundOutlined style={{ color: "#7c3aed", marginRight: 6 }} />
<span style={{ flex: 1 }}>已选:{task.refAudio.name}</span>
<button
className="vv-link-btn"
onClick={() => setTask({ refAudio: null })}
disabled={!canEditAssets}
>
<button className="vv-link-btn" onClick={() => setTask({ refAudio: null })}>
移除
</button>
</div>
@@ -1794,22 +1873,27 @@ const ViralVideoPage: React.FC = () => {
key={f.value}
className={`vv-fusion-btn ${task.fusionLevel === f.value ? "active" : ""}`}
onClick={() => setTask({ fusionLevel: f.value })}
disabled={!canEditStep2}
>
<strong>{f.label}</strong>
{f.desc}
</button>
))}
</div>
{task.fusionLevel === "user_primary" && (
{(task.fusionLevel === "ai_polish" || task.fusionLevel === "user_primary") && (
<div className="vv-form-row">
<label className="vv-label">写下你的文案/草稿</label>
<label className="vv-label">
{task.fusionLevel === "ai_polish" ? "写下你的文案草稿" : "写下你的文案/草稿"}
</label>
<textarea
key={task.fusionLevel}
className="vv-textarea"
placeholder="请输入你想要的原始文案,AI 将严格保留你的表达"
placeholder={
task.fusionLevel === "ai_polish"
? "请输入你的文案草稿,AI将在此基础上润色优化..."
: "请输入你想要的原始文案,AI将严格保留你的表达..."
}
value={task.userCopy}
onChange={(e) => setTask({ userCopy: e.target.value })}
disabled={!canEditStep2}
/>
</div>
)}
@@ -1825,77 +1909,71 @@ const ViralVideoPage: React.FC = () => {
placeholder="如:家具店、宠物店、装修公司"
value={task.industry}
onChange={(e) => setTask({ industry: e.target.value })}
disabled={!canEditStep2}
/>
</div>
<div className="vv-form-row">
<label className="vv-label">目标客户</label>
<Select
className="vv-select vv-select-purple"
className="vv-select"
style={{ width: "100%" }}
placeholder="请选择目标客户"
value={task.targetCustomer || undefined}
onChange={(v) => setTask({ targetCustomer: v })}
options={TARGET_CUSTOMERS.map((i) => ({ value: i, label: i }))}
allowClear
disabled={!canEditStep2}
/>
</div>
<div className="vv-form-row">
<label className="vv-label">台词语言</label>
<Select
className="vv-select vv-select-purple"
className="vv-select"
style={{ width: "100%" }}
value={task.language}
onChange={(v) => setTask({ language: v })}
options={LANGUAGES.map((i) => ({ value: i, label: i }))}
disabled={!canEditStep2}
/>
</div>
<div className="vv-form-row">
<label className="vv-label">我的人设</label>
<Select
className="vv-select vv-select-purple"
className="vv-select"
style={{ width: "100%" }}
placeholder="请选择人设"
placeholder="请选择人设类型"
optionFilterProp="children"
value={task.persona || undefined}
onChange={(v) => setTask({ persona: v })}
options={PERSONAS.map((i) => ({ value: i, label: i }))}
allowClear
disabled={!canEditStep2}
/>
</div>
<div className="vv-form-row">
<label className="vv-label">爆款结构</label>
<Select
className="vv-select vv-select-purple"
className="vv-select"
style={{ width: "100%" }}
value={task.viralStructure}
onChange={(v) => setTask({ viralStructure: v })}
options={STRUCTURES.map((i) => ({ value: i, label: i }))}
disabled={!canEditStep2}
/>
</div>
<div className="vv-form-row">
<label className="vv-label">营销目的</label>
<Select
className="vv-select vv-select-purple"
className="vv-select"
style={{ width: "100%" }}
value={task.marketingPurpose}
placeholder="请选择营销目的"
value={task.marketingPurpose || undefined}
onChange={(v) => setTask({ marketingPurpose: v })}
options={PURPOSES.map((i) => ({ value: i, label: i }))}
disabled={!canEditStep2}
/>
</div>
<div className="vv-form-row" style={{ gridColumn: "1 / -1" }}>
<label className="vv-label">文案视频时长</label>
<Select
className="vv-select vv-select-purple"
className="vv-select"
style={{ width: "100%" }}
value={task.duration}
onChange={(v) => setTask({ duration: v })}
options={DURATIONS.map((n) => ({ value: n, label: `${n}秒` }))}
disabled={!canEditStep2}
/>
</div>
</div>
@@ -1979,7 +2057,6 @@ const ViralVideoPage: React.FC = () => {
value={task.videoRatio}
onChange={(v) => setTask({ videoRatio: v })}
options={RATIOS.map((r) => ({ value: r.v, label: r.v }))}
disabled={task.uiStep === "step3_generating" || task.uiStep === "step3_done"}
/>
</div>
<div className="vv-form-row">
@@ -1990,7 +2067,6 @@ const ViralVideoPage: React.FC = () => {
value={task.videoModel}
onChange={(v) => setTask({ videoModel: v })}
options={MODELS.map((m) => ({ value: m.v, label: m.label }))}
disabled={task.uiStep === "step3_generating" || task.uiStep === "step3_done"}
/>
</div>
<div className="vv-form-row">
@@ -2001,7 +2077,6 @@ const ViralVideoPage: React.FC = () => {
value={task.quality}
onChange={(v) => setTask({ quality: v })}
options={QUALITY_OPTIONS.map((m) => ({ value: m.v, label: m.label }))}
disabled={task.uiStep === "step3_generating" || task.uiStep === "step3_done"}
/>
</div>
<div className="vv-form-row">
@@ -2012,20 +2087,27 @@ const ViralVideoPage: React.FC = () => {
value={task.upscale}
onChange={(v) => setTask({ upscale: v })}
options={UPSCALE_OPTIONS.map((m) => ({ value: m.v, label: m.label }))}
disabled={task.uiStep === "step3_generating" || task.uiStep === "step3_done"}
/>
</div>
</div>
</div>
</div>
<div className="vv-credits">
<span>
<SoundOutlined style={{ marginRight: 4 }} />
预计消耗
</span>
<strong>{task.duration >= 45 ? 80 : task.duration >= 30 ? 60 : 40} 积分</strong>
</div>
{step3Enabled && (
<div className="vv-credits">
<span>
<SoundOutlined style={{ marginRight: 4 }} />
预计消耗
</span>
<strong>
{task.estimatedCreditsError
? "-- 积分"
: task.estimatedCredits === null
? "… 积分"
: `${task.estimatedCredits.toFixed(2)} 积分`}
</strong>
</div>
)}
{/* 视频预览区 */}
<div className="vv-section">
@@ -2036,7 +2118,7 @@ const ViralVideoPage: React.FC = () => {
) : task.uiStep === "step3_generating" ? (
<div className="vv-preview-placeholder">
<div className="ph-icon">
<LoadingOutlined style={{ fontSize: 36, color: "#22d3ee" }} />
<LoadingOutlined style={{ fontSize: 36, color: "#7c3aed" }} />
</div>
<div className="ph-txt">
AI 正在生成视频中…
+535 -97
View File
@@ -23,6 +23,8 @@ import json
import logging
import os
import tempfile
import threading
import time
from concurrent.futures import ThreadPoolExecutor, as_completed
from pathlib import Path
@@ -35,7 +37,6 @@ from packages.adapters.sqlalchemy_impl.viral_video_repository import (
SQLAlchemyViralVideoJobRepository,
)
from packages.domain.viral_video import (
CREDITS_VIRAL_VIDEO_COST,
STAGE_LABELS,
ViralVideoJob,
ViralVideoStage,
@@ -106,6 +107,96 @@ def _set_stage(job, repo, session, stage: str, message: str, persist: bool = Tru
logger.warning("[爆款视频] 阶段持久化失败 stage=%s err=%s", stage, e)
# ── worker 心跳(僵尸任务检测) ─────────────────────────────────────────
# 心跳间隔(秒);超过此时间未更新 heartbeat_at 视为 worker 异常
_HEARTBEAT_INTERVAL_SEC = 25
# 任务整体超时:running 超过此时长且心跳停止,则判定为僵尸并回收
_STALE_RUNNING_TIMEOUT_SEC = 10 * 60 # 10 分钟
# 心跳过期窗口:heartbeat_at 距 now 超过此时长视为失效
_HEARTBEAT_EXPIRE_SEC = 2 * 60 # 2 分钟
def _heartbeat_once(job_id: str) -> None:
"""在独立 session 中更新一次 heartbeat_at(不捕获主流程事务状态)。"""
ssn = None
try:
from datetime import datetime, timezone
ssn = SessionLocal()
ssn.execute(
__import__("sqlalchemy").text(
"UPDATE viral_video_jobs SET heartbeat_at = :now, updated_at = :now "
"WHERE id = :jid AND status = 'running'"
),
{"now": datetime.now(timezone.utc), "jid": job_id},
)
ssn.commit()
except Exception as e:
logger.warning("[爆款视频] 心跳更新失败 job=%s err=%s", job_id, e)
finally:
if ssn is not None:
try:
ssn.close()
except Exception:
pass
def _start_heartbeat_thread(job_id: str) -> tuple[threading.Event, threading.Thread]:
"""启动后台心跳线程,每 _HEARTBEAT_INTERVAL_SEC 秒更新一次 heartbeat_at。
返回 (stop_event, thread);任务结束时调用 stop_event.set() 停止心跳。
"""
stop = threading.Event()
def _loop():
# 立即打一次心跳
_heartbeat_once(job_id)
while not stop.wait(_HEARTBEAT_INTERVAL_SEC):
_heartbeat_once(job_id)
t = threading.Thread(target=_loop, name=f"vv-heartbeat-{job_id[:8]}", daemon=True)
t.start()
return stop, t
def _recover_stale_jobs() -> int:
"""启动/定时扫描:把僵尸任务(running 超时且心跳停止)标记为 failed。
返回本次回收的任务数。可由 celery beat 周期性调用,也可在任务启动前顺带扫一次。
"""
from datetime import datetime, timedelta, timezone
ssn = None
try:
ssn = SessionLocal()
now = datetime.now(timezone.utc)
# 判定条件:status=running 且 (started_at 距今 > 10min) 且 (heartbeat_at < now-2min 或 heartbeat_at IS NULL 且 updated_at < now-2min)
cutoff_beat = now - timedelta(seconds=_HEARTBEAT_EXPIRE_SEC)
cutoff_start = now - timedelta(seconds=_STALE_RUNNING_TIMEOUT_SEC)
sql = __import__("sqlalchemy").text(
"UPDATE viral_video_jobs "
"SET status='failed', error_msg='任务执行超时,请重试', updated_at=:now "
"WHERE status='running' "
" AND started_at IS NOT NULL AND started_at < :cutoff_start "
" AND (heartbeat_at IS NULL OR heartbeat_at < :cutoff_beat) "
" AND (heartbeat_at IS NOT NULL OR updated_at < :cutoff_beat)"
)
result = ssn.execute(sql, {"now": now, "cutoff_start": cutoff_start, "cutoff_beat": cutoff_beat})
ssn.commit()
cnt = result.rowcount or 0
if cnt > 0:
logger.warning("[爆款视频] 回收 %d 个僵尸 running 任务", cnt)
return cnt
except Exception as e:
logger.warning("[爆款视频] 僵尸任务扫描失败: %s", e)
return 0
finally:
if ssn is not None:
try:
ssn.close()
except Exception:
pass
# ── 默认结构 ─────────────────────────────────────────────────────────────
_DEFAULT_HARD_CONSTRAINTS = [
@@ -154,49 +245,42 @@ def _empty_copy_result(duration: int = 15, ratio: str = "9:16") -> dict:
# ── 流水线各步骤 ────────────────────────────────────────────────────────
_IMAGE_ANALYSIS_SYSTEM_PROMPT = """你是资深电商商品视觉分析师,擅长从商品图片中提取结构化商品信息。严格遵守以下规则:
1. 只基于图片中真实可见的内容进行分析,严禁编造图片中不存在的品牌、文字、规格、卖点或功效。
2. 看不清、包装上没有、无法判断的字段统一填「无法判断」。
3. 包装上的文字只 OCR 你能清晰看到的,模糊的不要瞎猜。
4. 输出必须是严格 JSON(不要 Markdown 代码块,不要额外解释文字)。
字段说明:
_IMAGE_ANALYSIS_SYSTEM_PROMPT = """你是电商商品视觉分析师,从商品图片中提取关键商品信息。严格规则:
1. 只说图片里真实可见的内容,看不清/没有的填「无法判断」,不要瞎猜。
2. 输出必须是严格 JSON(不要 Markdown 代码块,不要额外解释文字)。
3. 字段说明:
{
"name": "商品全名(从包装 OCR 读出品牌+产品名+规格/容量/型号,如『李字无烟檀香型蚊香 30单盘装』)",
"brand": "品牌名(从 Logo/包装文字读出,如『李字』『奥妙(OMO)』;看不清填『无法判断』)",
"category": "商品品类(如『家用清洁/洗衣液』『日化驱蚊/盘式蚊香』『护肤/面霜』;非产品图填『非产品图』)",
"spec": "规格/型号/容量/净含量(从包装文字 OCR 读出,如『30单盘装』『3kg』『500ml』;无法判断填『无法判断』)",
"appearance": "外观与视觉特征(80-150字自然语言描述整体形状、颜色搭配、材质质感、尺寸感知,让没看到图的人能想象长什么样)",
"packaging": "包装设计细节(80-150字自然语言描述标签颜色分区、图案元素、图形标识、封口/塑封状态、瓶盖/泵头/罐型等)",
"text_on_package": ["包装上能清晰 OCR 读出的文字逐条列出,按主次:品牌名、产品名、卖点文案、功效描述、规格参数等,看不清的不列"],
"colors": ["主体颜色 2-4 个"],
"material_or_texture": "材质/质地(如玻璃瓶装/塑料软管/哑光质感/金属外壳/纸塑复合袋等;无法判断填『无法判断』)",
"name": "商品全名(品牌+产品名+规格,如『大公鸡头管家 多功能油污净 625ml』,从包装 OCR 读出)",
"brand": "品牌名(从 Logo/包装文字读出,看不清填『无法判断』)",
"category": "商品品类(如『家用清洁/油污清洁剂』『日化/洗衣液』;非产品图填『非产品图』)",
"appearance": "外观特征(50-100字:瓶身形状、颜色、瓶盖、标签颜色、尺寸感)",
"packaging": "包装细节(50-100字:标签分区、图案元素、瓶盖/泵头样式、塑封状态)",
"text_on_package": ["包装上清晰可见的文字列表(品牌、产品名、卖点、规格等,看不清的不列)"],
"key_features": [
"3-6 条图片中确实能看到的外观特征/视觉卖点(如『按压式泵头设计』『瓶身有金色装饰线条』『罐身带塑封痕迹』等),不要写功效词(除非包装上明确印了)"
"3-5 条图片中能看到的外观/视觉特征(如『红色瓶盖白色瓶身』『鸡头图案 Logo』等)"
],
"visual_style": "整体视觉风格(如简约高端/粉嫩少女/国潮/科技感/家庭温馨/生活方式实拍等)",
"scene": "图片展示场景(如白底棚拍/浴室场景/户外街拍/桌面静物/手持实拍等;纯白底填『白底产品图』)",
"suitable_scenes": ["基于商品类型推断的 2-4 个适用/使用场景,如『家庭日常清洁』『卧室夜间驱蚊』"],
"target_audience": "从商品定位/包装风格推断的目标人群(如『家庭主妇/宝妈』『年轻租房群体』『男性商务人士』;不确定填『无法判断』)",
"selling_points": ["3-6 条可用于短视频营销的卖点(结合视觉+包装文字推断,尽量贴近电商话术)"],
"summary": "识别描述汇总:把上述各维度整合成一段 150-250 字的流畅中文自然段落,像电商详情页的商品介绍,口语化、有画面感,前端会直接展示这段文字"
"scene": "图片场景(如白底棚拍/浴室实拍/桌面静物/手持实拍等)",
"summary": "100-180字中文导购描述,连贯自然段落,像电商详情页介绍,前端直接展示,必须提到品牌/品名/核心外观特征,不能写『无法判断』"
}"""
_IMAGE_ANALYSIS_USER_PROMPT = """请分析这张商品图片,按约定 JSON 字段完整输出。重点:
1. name/brand/spec/text_on_package 必须从图片包装上 OCR 读取,不要凭空编造;
2. appearance/packaging 两个字段要具体细致,80-150 字自然语言;
3. summary 字段务必连贯成一段 150-250 字的中文导购描述,方便前端直接展示;
4. 非产品图时 category 填『非产品图』,name 填实际看到的内容,其余字段按需填『无法判断』;
5. 所有无法判断的字段统一填「无法判断」。"""
_IMAGE_ANALYSIS_USER_PROMPT = """请分析这张商品图片,输出严格 JSON。重点:
1. name/brand/text_on_package 从图片包装 OCR 读取,不编造;
2. appearance/packaging 各写 50-100 字,要具体;
3. summary 必须是 100-180 字连贯中文段落,说清商品是什么、长什么样、适合谁用,不要写「无法判断」;
4. 非产品图时 category 填「非产品图」,name 填实际看到的内容;
5. 看不清的字段填「无法判断」。"""
def _vision_fallback(idx: int, reason: str, extra: dict | None = None) -> dict:
d = {
"name": "未识别",
"category": "无法判断",
"appearance": "无法判断",
"packaging": "无法判断",
"text_on_package": [],
"key_features": [],
"scene": "通用",
"summary": "",
"_source": reason,
}
if extra:
@@ -204,57 +288,112 @@ def _vision_fallback(idx: int, reason: str, extra: dict | None = None) -> dict:
return d
def _is_vision_result_usable(result: dict) -> bool:
"""判断 VLM 返回是否有效:name/summary 不能为未识别/无法判断/空,summary 要够长。"""
if not isinstance(result, dict):
return False
name = (result.get("name") or "").strip()
if not name or name in ("未识别", "无法判断", "未知"):
return False
summary = (result.get("summary") or "").strip()
if len(summary) < 30 or summary in ("无法判断", "未识别"):
return False
category = (result.get("category") or "").strip()
if category == "非产品图":
return True
feats = result.get("key_features") or []
if not isinstance(feats, list) or len(feats) == 0:
return False
return True
def _analyze_single_image(
idx: int,
img_url: str,
vision_model: str,
timeout: int,
*,
pro_fallback_model: str | None = None,
) -> dict:
"""单张图片 VLM 分析(线程池并行调用)。失败/None 返回 fallback dict。"""
"""单张图片 VLM 分析(线程池并行调用)。
- lite 失败/结果不可用 时自动用 pro 模型降级重试 1 次。
- 失败/None/不可用最终返回含默认字段的 dict(不会让用户看到「未识别·无法判断」裸结果)。
"""
from packages.shared.ai_service import call_vision
if not img_url or not isinstance(img_url, str):
return _vision_fallback(idx, "invalid_url")
try:
result = call_vision(
image_url=img_url,
prompt=_IMAGE_ANALYSIS_USER_PROMPT,
model=vision_model,
max_tokens=1024,
temperature=0.2,
timeout=timeout,
system_prompt=_IMAGE_ANALYSIS_SYSTEM_PROMPT,
def _call(model: str, tmo: int):
try:
return call_vision(
image_url=img_url,
prompt=_IMAGE_ANALYSIS_USER_PROMPT,
model=model,
max_tokens=800,
temperature=0.1,
timeout=tmo,
system_prompt=_IMAGE_ANALYSIS_SYSTEM_PROMPT,
)
except Exception as e:
logger.warning("[爆款视频] 图片 #%d call_vision(%s) 异常 err=%s", idx, model, e)
return None
def _normalize(raw, source: str) -> dict:
if raw is None:
return _vision_fallback(idx, f"{source}_none")
if isinstance(raw, str):
logger.warning("[爆款视频] 图片 #%d VLM(%s) 返回非 JSON: %s", idx, source, raw[:200])
return _vision_fallback(idx, f"{source}_text", {"_raw": raw[:500]})
if not isinstance(raw, dict):
return _vision_fallback(idx, f"{source}_badtype")
raw.setdefault("_source", source)
raw.setdefault("name", "未识别")
raw.setdefault("brand", "无法判断")
raw.setdefault("category", "无法判断")
raw.setdefault("appearance", "无法判断")
raw.setdefault("packaging", "无法判断")
raw.setdefault("text_on_package", [])
raw.setdefault("key_features", [])
raw.setdefault("scene", "通用")
raw.setdefault("summary", "")
if not isinstance(raw.get("text_on_package"), list):
raw["text_on_package"] = []
if not isinstance(raw.get("key_features"), list):
raw["key_features"] = []
return raw
# 第一次:传入模型(通常是 lite)
first_raw = _call(vision_model, timeout)
tag1 = vision_model.split("/")[-1] if "/" in vision_model else vision_model
first_result = _normalize(first_raw, tag1)
if _is_vision_result_usable(first_result):
return first_result
logger.warning(
"[爆款视频] 图片 #%d VLM(%s) 结果不可用 name=%r summary_len=%d,尝试 pro 降级",
idx,
vision_model,
first_result.get("name"),
len(first_result.get("summary") or ""),
)
# 第二次:pro 降级重试
if pro_fallback_model and pro_fallback_model != vision_model:
pro_raw = _call(pro_fallback_model, max(60, timeout))
pro_result = _normalize(pro_raw, "pro_fallback")
if _is_vision_result_usable(pro_result):
pro_result["_fallback_used"] = True
return pro_result
logger.warning(
"[爆款视频] 图片 #%d pro 降级仍不可用 name=%r summary_len=%d",
idx,
pro_result.get("name"),
len(pro_result.get("summary") or ""),
)
if result is None:
logger.warning("[爆款视频] 图片 #%d call_vision 返回 None", idx)
return _vision_fallback(idx, "vision_none")
if isinstance(result, str):
logger.warning("[爆款视频] 图片 #%d VLM 返回非 JSON: %s", idx, result[:200])
return _vision_fallback(idx, "vision_text", {"_raw": result[:500]})
if isinstance(result, dict):
result.setdefault("_source", "vision")
result.setdefault("name", "未识别")
result.setdefault("brand", "无法判断")
result.setdefault("category", "无法判断")
result.setdefault("spec", "无法判断")
result.setdefault("appearance", "无法判断")
result.setdefault("packaging", "无法判断")
result.setdefault("text_on_package", [])
result.setdefault("colors", [])
result.setdefault("material_or_texture", "无法判断")
result.setdefault("key_features", [])
result.setdefault("visual_style", "通用")
result.setdefault("scene", "白底产品图")
result.setdefault("suitable_scenes", [])
result.setdefault("target_audience", "无法判断")
result.setdefault("selling_points", [])
result.setdefault("summary", "")
return result
logger.warning("[爆款视频] 图片 #%d VLM 返回意外类型 %s", idx, type(result))
return _vision_fallback(idx, "vision_unexpected_type")
except Exception as e:
logger.warning("[爆款视频] 图片 #%d 分析失败 err=%s", idx, e, exc_info=True)
return _vision_fallback(idx, "vision_exception", {"_error": str(e)[:200]})
return pro_result
return first_result
def _step_image_analysis(job: ViralVideoJob) -> dict:
@@ -269,27 +408,37 @@ def _step_image_analysis(job: ViralVideoJob) -> dict:
logger.warning("[爆款视频] 任务无 images,跳过图片分析")
return {"products": []}
# 选择视觉模型:lite 速度优先(doubao_vision_use_lite=True 默认),pro 备用
# 选择视觉模型:lite 速度优先(默认),pro 作为降级备用
try:
_s = get_shared_settings()
vision_model = _s.doubao_vision_lite_model if _s.doubao_vision_use_lite else _s.doubao_vision_model
vision_timeout = 30 if _s.doubao_vision_use_lite else 60
if _s.doubao_vision_use_lite:
vision_model = _s.doubao_vision_lite_model
pro_model = _s.doubao_vision_model
vision_timeout = 45 # lite 给到 45s 避免首轮就 timeout 降级 pro
else:
vision_model = _s.doubao_vision_model
pro_model = None # 已经是 pro,不再降级
vision_timeout = 60
except Exception:
vision_model = "doubao-1-5-vision-lite-250915"
vision_timeout = 30
vision_model = "doubao-1-5-vision-lite-250315"
pro_model = "doubao-1-5-vision-pro-250328"
vision_timeout = 45
results: list[dict] = [None] * len(job.images) # type: ignore
max_workers = min(4, max(1, len(job.images)))
logger.info(
"[爆款视频] 开始并行图片分析 n=%d model=%s timeout=%d workers=%d",
"[爆款视频] 开始并行图片分析 n=%d model=%s pro_fallback=%s timeout=%d workers=%d",
len(job.images),
vision_model,
pro_model,
vision_timeout,
max_workers,
)
with ThreadPoolExecutor(max_workers=max_workers) as pool:
future_to_idx = {
pool.submit(_analyze_single_image, idx, url, vision_model, vision_timeout): idx
pool.submit(
_analyze_single_image, idx, url, vision_model, vision_timeout, pro_fallback_model=pro_model
): idx
for idx, url in enumerate(job.images)
}
for fut in as_completed(future_to_idx):
@@ -390,6 +539,32 @@ def _step_intent_parsing(job: ViralVideoJob, image_analysis: dict) -> dict:
# ── 编导分镜脚本生成(核心,v1.6 新 prompt) ──────────────────────────────
# 人设 IP 类型 → 文案/出镜风格指导(前端下拉 10 个 IP 类型)
_PERSONA_STYLE_GUIDE = {
"通用个人IP": "亲切自然、像朋友分享好物,第一人称口语化,不端着",
"老板型IP": "沉稳大气、有行业格局感,适度使用『我做了XX年』『我一直坚持』等老板视角,语气自信不夸张",
"专家型IP": "专业权威、讲原理和数据支撑,用词严谨,少用网梗,像行业专家做科普",
"顾问型IP": "贴心周到、给建议给方案,多用『建议你』『可以试试』『我帮你梳理』",
"创始人IP": "真诚有温度、讲品牌故事和创业初心,带点情怀和个人观点,不端老板架子",
"创业者IP": "真实接地气、讲踩坑经验和创业心路,带点自嘲和韧劲,像身边的创业者朋友",
"从业者经验派": "内行视角、讲行业内幕/实操经验/踩坑教训,多用『干了X年我发现』『内行都知道』",
"避坑顾问型": "直接点出痛点和雷区,先讲『别买XX』『很多人踩过的坑』再给正确选择,节奏感强",
"知识科普型": "清晰讲原理、讲知识点,条理分明、信息密度高,像做一期小科普",
"测评种草型": "真实测评感、讲使用体验和优缺点对比,带『亲测』『我用了XX天』『实测下来』真实感词汇",
}
def _persona_style_hint(persona_id: str) -> str:
"""根据 persona_id 查文案风格指导;未命中/空值返回通用提示。"""
pid = (persona_id or "").strip()
if pid in _PERSONA_STYLE_GUIDE:
return f"【人设风格:{pid}】{_PERSONA_STYLE_GUIDE[pid]}"
if pid:
# 前端传了自由值,照直提示,不阻塞
return f"【人设风格:{pid}】按该人设的口吻、话术习惯组织口播和出镜动作"
return "【人设风格:未指定】亲切自然、像朋友分享好物"
_SCRIPT_GENERATION_PROMPT = """你是资深短视频导演,为 Seedance 2.5(单次生成最多{duration}秒)写编导分镜脚本。脚本将整体作为 prompt 一次性传给视频模型,必须让模型在连贯镜头流中清楚每段时间拍什么、画面如何、人物说什么。
## 产品
@@ -404,6 +579,7 @@ _SCRIPT_GENERATION_PROMPT = """你是资深短视频导演,为 Seedance 2.5(
- 时长:{duration}秒 / 画幅:{ratio} / 产品图:{n_images}张(第1张通常是主图/首帧)
- 风格参考:{style_hint}
- 爆款结构(必须严格遵循节奏/段落顺序):{viral_structure_block}
- 人设/出镜口吻(必须贯穿全部对白和动作描写):{persona_hint}
## 输出格式(必须输出严格 JSON,不要 Markdown,不要解释,字段一个都不能少)
@@ -452,7 +628,8 @@ _SCRIPT_GENERATION_PROMPT = """你是资深短视频导演,为 Seedance 2.5(
6. hard_constraints/negative_prompts 保留默认项可追加,不要删减。
7. voiceover_script 为纯口播文本(无标记/括号/前缀),{duration}秒约{approx_chars}字。
8. 严格按上方「爆款结构」的节奏/段落顺序编排(钩子/痛点/反转/案例/行动号召与结构对齐)。
"""
9. 输出前自检:口播对白禁止错别字和语病,**严禁使用"很近",正确用词是"最近"**(指"最近一段时间/最近在用",绝不能写成"很近");其他同音字、形近字错误一律修正。
10. 必须使用产品信息中真实的品牌、品名和外观特征,不要编造与产品无关的内容。"""
def _build_products_summary(image_analysis: dict) -> str:
@@ -710,6 +887,7 @@ def _step_script_generation(job: ViralVideoJob, intent: dict, image_analysis: di
else:
viral_structure_block = "未指定(自由编排,但仍需有钩子开头+产品展示+行动号召的基本节奏)"
persona_hint = _persona_style_hint(getattr(job, "persona_id", ""))
prompt = _SCRIPT_GENERATION_PROMPT.format(
products_summary=products_summary,
intent=intent_str,
@@ -723,17 +901,69 @@ def _step_script_generation(job: ViralVideoJob, intent: dict, image_analysis: di
style_hint=style_hint,
approx_chars=approx_chars,
viral_structure_block=viral_structure_block,
persona_hint=persona_hint,
)
_s = get_shared_settings()
_fast = _s.doubao_fast_model
_pro = getattr(_s, "doubao_model", None) or _fast
def _try_gen(model: str, temp: float, max_tok: int, label: str):
logger.info("[爆款视频] 编导脚本生成 model=%s label=%s", model, label)
r = call_llm(prompt, temperature=temp, max_tokens=max_tok, model=model)
if r is None:
logger.warning("[爆款视频] 编导脚本返回None label=%s", label)
return None
parsed = _safe_json_loads(r)
normalized = _validate_and_normalize_script(parsed, job)
voiceover = (normalized or {}).get("voiceover_script") or ""
voiceover_len = len(voiceover)
shots_cnt = len((normalized or {}).get("shots") or [])
# 判定是否"退化到兜底质量":口播过短(<20字)或镜头数<1;正常的短口播(如15s视频~40字)不视为兜底
# v1.6.1 双保险:先做 hard fix 字符串替换("很近" → "最近"),再做不合格判定
if "很近" in voiceover:
logger.warning("[爆款视频] 编导脚本含错别字'很近',hard fix 替换为'最近' label=%s", label)
voiceover = voiceover.replace("很近", "最近")
normalized["voiceover_script"] = voiceover
# 同时在 shots 对白里替换
for sh in normalized.get("shots") or []:
if isinstance(sh, dict):
sd = sh.get("scene_and_dialogue") or ""
if "很近" in sd:
sh["scene_and_dialogue"] = sd.replace("很近", "最近")
fallback_marker = "我最近在用的好物" in voiceover # _fallback_script 的特征串
has_typo_henjin = "很近" in voiceover # v1.6.1: 错别字"很近"视为不合格,触发重试
is_fallback = fallback_marker or shots_cnt < 1 or voiceover_len < 20 or has_typo_henjin
logger.info(
"[爆款视频] 编导脚本结果 label=%s voiceover_len=%d shots=%d fallback=%s raw_type=%s",
label,
voiceover_len,
shots_cnt,
is_fallback,
type(r).__name__,
)
if is_fallback:
return None # 触发重试
return normalized
try:
# 编导脚本是结构化 JSON 输出,用快模型提速(temperature 稍高保证创意)
result = call_llm(prompt, temperature=0.8, max_tokens=2500, model=_fast)
parsed = _safe_json_loads(result)
return _validate_and_normalize_script(parsed, job)
# 第一次:快模型
normalized = _try_gen(_fast, 0.8, 2500, "fast-first")
if normalized is not None:
return normalized
# 第二次:快模型降温度+加大 max_tokens
normalized = _try_gen(_fast, 0.6, 3200, "fast-retry")
if normalized is not None:
return normalized
# 第三次:用主力模型兜底
if _pro and _pro != _fast:
normalized = _try_gen(_pro, 0.7, 3500, "pro-fallback")
if normalized is not None:
return normalized
logger.warning("[爆款视频] 编导脚本三次都未生成合格结果,使用兜底脚本")
return _fallback_script(job)
except Exception as e:
logger.warning("[爆款视频] 编导脚本生成失败: %s,使用兜底脚本", e, exc_info=True)
logger.warning("[爆款视频] 编导脚本生成异常: %s,使用兜底脚本", e, exc_info=True)
return _fallback_script(job)
@@ -777,7 +1007,7 @@ def _step_tts(job: ViralVideoJob, voiceover_script: str):
from apps.worker.services.tts_service_factory import get_tts_service
tts_service = get_tts_service()
voice_id = (getattr(job, "voice_id", "") or job.persona_id or "").strip()
voice_id = (getattr(job, "voice_id", "") or "").strip()
text = (voiceover_script or "").strip()
if not text:
logger.warning("[爆款视频] voiceover_script 为空,跳过 TTS")
@@ -879,14 +1109,18 @@ def _assemble_seedance_prompt(copy_result: dict, job: ViralVideoJob) -> str:
return "\n".join(lines)
def _step_render(job: ViralVideoJob, copy_result: dict, tts_audio_url: str | None) -> str:
"""步骤 6: v1.6 单次 Seedance 生成(不再分段/拼接)。"""
def _step_render(job: ViralVideoJob, copy_result: dict, tts_audio_url: str | None) -> tuple[str, dict | None]:
"""步骤 6: v1.6 单次 Seedance 生成(不再分段/拼接)。
返回 (本地视频路径, usage dict|None)。失败抛异常。
"""
from packages.shared.ai_service import call_video_generation
prompt = _assemble_seedance_prompt(copy_result, job)
dur = max(5, min(30, int(getattr(job, "duration", 15) or 15)))
ratio = getattr(job, "video_ratio", None) or "9:16"
model = getattr(job, "video_model", "") or None
resolution = getattr(job, "video_resolution", "720p") or "720p"
# reference_audios: TTS 音频驱动口型
ref_audios = [tts_audio_url] if tts_audio_url else []
@@ -910,12 +1144,12 @@ def _step_render(job: ViralVideoJob, copy_result: dict, tts_audio_url: str | Non
)
logger.info("[爆款视频] Seedance prompt (前300字): %s", prompt[:300])
video_path = call_video_generation(
result = call_video_generation(
prompt=prompt,
image_url=first_image,
duration=dur,
ratio=ratio,
resolution="720p",
resolution=resolution,
output_dir=str(tmpdir),
model=model,
generate_audio=True, # Seedance 原生生成环境音效/BGM;口型由 reference_audios 的 TTS 驱动
@@ -923,10 +1157,16 @@ def _step_render(job: ViralVideoJob, copy_result: dict, tts_audio_url: str | Non
reference_audios=ref_audios,
reference_videos=ref_videos,
)
if not result or not isinstance(result, dict):
raise RuntimeError("Seedance 视频生成失败:返回为空")
video_path = result.get("video_path") or ""
usage = result.get("usage")
if not video_path or not Path(video_path).exists() or Path(video_path).stat().st_size == 0:
raise RuntimeError("Seedance 视频生成失败:返回空文件或路径不存在")
logger.info("[爆款视频] Seedance 单次生成完成: %s size=%d", video_path, Path(video_path).stat().st_size)
return str(video_path)
logger.info(
"[爆款视频] Seedance 单次生成完成: %s size=%d usage=%s", video_path, Path(video_path).stat().st_size, usage
)
return str(video_path), (usage if isinstance(usage, dict) else None)
def _step_upload(job: ViralVideoJob, video_path: str) -> str:
@@ -942,19 +1182,50 @@ def _step_upload(job: ViralVideoJob, video_path: str) -> str:
return video_url
def _wait_oss_ready(url: str, timeout_sec: int = 10) -> bool:
"""轮询 OSS 公网 URL,直到 HEAD 返回 200 或超时。
用于缓解 OSS 上传后 1-5s 公网 eventual consistency 导致的 NoSuchKey。
"""
import httpx
deadline = time.monotonic() + timeout_sec
last_status = 0
while time.monotonic() < deadline:
try:
r = httpx.head(url, follow_redirects=True, timeout=3.0)
last_status = r.status_code
if r.status_code == 200 and int(r.headers.get("content-length", "0") or 0) > 0:
return True
except Exception as e:
logger.debug("[爆款视频] OSS head 轮询失败: %s", e)
time.sleep(1.0)
logger.warning("[爆款视频] OSS 成片在 %ds 内未就绪 last_status=%s url=%s", timeout_sec, last_status, url[:120])
return False
# ── 主编排器 ────────────────────────────────────────────────────────────
@shared_task(bind=True, max_retries=2, name="worker.run_viral_video_pipeline")
@shared_task(
bind=True,
max_retries=2,
name="worker.run_viral_video_pipeline",
soft_time_limit=900, # 15min(完整流水线)
time_limit=960,
)
def run_viral_video_pipeline(self: Task, job_id: str) -> dict:
"""旧一键流水线(保留兼容):图片分析→风格分析→意图解析→WAIT_USER_CONFIRM。"""
session = None
_hb_stop = None
try:
_recover_stale_jobs() # 顺带回收僵尸任务
session, repo, job = _get_repo_and_job(job_id)
if job is None:
return {"ok": False, "error": "job not found"}
job.mark_running()
_save_job(repo, job, session)
_hb_stop, _hb_thread = _start_heartbeat_thread(job_id)
_set_stage(job, repo, session, ViralVideoStage.IMAGE_ANALYSIS, "正在分析商品特征...")
image_analysis = _step_image_analysis(job)
@@ -1001,6 +1272,8 @@ def run_viral_video_pipeline(self: Task, job_id: str) -> dict:
_mark_failed_and_notify(job_id, session, None, None, str(e), "")
return {"ok": False, "job_id": job_id, "error": str(e)}
finally:
if _hb_stop is not None:
_hb_stop.set()
if session:
session.close()
@@ -1078,16 +1351,26 @@ def _mark_failed_and_notify(job_id: str, session, repo, job, err_msg: str, stage
# ── v1.5/v1.6 三步分步流水线 Celery 任务 ─────────────────────────────────
@shared_task(bind=True, max_retries=1, name="worker.run_viral_video_analyze")
@shared_task(
bind=True,
max_retries=1,
name="worker.run_viral_video_analyze",
soft_time_limit=240, # 4min(VLM 并行分析)
time_limit=300,
)
def run_viral_video_analyze(self: Task, job_id: str) -> dict:
"""v1.5+ 阶段1:图片 VLM 分析 + 可选视频风格分析。"""
session = None
_hb_stop = None
try:
_recover_stale_jobs() # 顺带回收僵尸任务
session, repo, job = _get_repo_and_job(job_id)
if job is None:
return {"ok": False, "error": "job not found"}
job.mark_running()
_save_job(repo, job, session)
_hb_stop, _hb_thread = _start_heartbeat_thread(job_id)
_set_stage(job, repo, session, ViralVideoStage.IMAGE_ANALYSIS, "正在分析商品特征...")
image_analysis = _step_image_analysis(job)
@@ -1130,11 +1413,19 @@ def run_viral_video_analyze(self: Task, job_id: str) -> dict:
_mark_failed_and_notify(job_id, session, None, None, str(e), ViralVideoStage.IMAGE_ANALYSIS)
return {"ok": False, "job_id": job_id, "error": str(e)}
finally:
if _hb_stop is not None:
_hb_stop.set()
if session:
session.close()
@shared_task(bind=True, max_retries=1, name="worker.run_viral_video_generate_copy")
@shared_task(
bind=True,
max_retries=1,
name="worker.run_viral_video_generate_copy",
soft_time_limit=180, # 3min(编导脚本生成含三级重试)
time_limit=240,
)
def run_viral_video_generate_copy(self: Task, job_id: str) -> dict:
"""v1.6 阶段2(v1.6.1 提速版):意图解析 → 编导分镜脚本生成 → 直接返回,合规审核后置到出片前。
@@ -1143,14 +1434,20 @@ def run_viral_video_generate_copy(self: Task, job_id: str) -> dict:
- _SCRIPT_GENERATION_PROMPT 精简冗余描述
- 合规审核改为异步后置:不阻塞前端,在 confirm-copy(阶段3 TTS前)再做最终审核
- 每个阶段通过 _set_stage 持久化 current_stage/phase_message 到 DB(问题8)
- v1.6.1: lite VLM 15s 快速失败,pro 25s;三级编导重试
"""
session = None
_hb_stop = None
try:
_recover_stale_jobs() # 顺带回收僵尸任务
session, repo, job = _get_repo_and_job(job_id)
if job is None:
return {"ok": False, "error": "job not found"}
if job.status != ViralVideoStatus.RUNNING:
return {"ok": False, "error": f"unexpected status: {job.status}"}
job.touch_heartbeat()
_save_job(repo, job, session)
_hb_stop, _hb_thread = _start_heartbeat_thread(job_id)
# 阶段:意图解析
_set_stage(job, repo, session, ViralVideoStage.INTENT_PARSING, "正在解析文案意图...")
@@ -1219,6 +1516,8 @@ def run_viral_video_generate_copy(self: Task, job_id: str) -> dict:
_mark_failed_and_notify(job_id, session, None, None, str(e), ViralVideoStage.SCRIPT_GENERATION)
return {"ok": False, "job_id": job_id, "error": str(e)}
finally:
if _hb_stop is not None:
_hb_stop.set()
if session:
session.close()
@@ -1265,6 +1564,107 @@ def _quick_compliance_blacklist_check(copy_result: dict) -> None:
copy_result[k] = copy_result[k].replace(bk, bv)
def _try_refund_viral_video(job: ViralVideoJob) -> None:
"""爆款视频生成失败:若已预扣积分则全额退款。"""
try:
from packages.shared import get_shared_settings
_s = get_shared_settings()
if not _s.points_enabled:
return
prepaid = float(getattr(job, "credits_prepaid", 0) or 0)
if prepaid <= 0:
return
from packages.domain.points_service import PointsService
svc = PointsService()
# 使用独立 session(避免污染外层事务)
ssn = SessionLocal()
try:
svc.refund_viral_video(
job.user_id,
prepaid,
getattr(job, "credits_transaction_id", "") or "",
ssn,
)
job.credits_prepaid = 0.0
finally:
ssn.close()
except Exception:
logger.exception("[爆款视频] 失败退款异常 job_id=%s", job.id)
def _settle_viral_video(job: ViralVideoJob, usage: dict | None) -> None:
"""爆款视频生成成功:按实际 usage 结算,多退少补,写 credits_cost。"""
try:
from packages.shared import get_shared_settings
_s = get_shared_settings()
if not _s.points_enabled:
job.credits_cost = 0.0
job.credits_prepaid = 0.0
return
prepaid = float(getattr(job, "credits_prepaid", 0) or 0)
if prepaid <= 0:
job.credits_cost = 0.0
return
from packages.domain.points_rules import calculate_viral_video_credits, resolve_video_dimensions
from packages.domain.points_service import PointsService
w, h = resolve_video_dimensions(
getattr(job, "video_resolution", "720p") or "720p",
getattr(job, "video_ratio", "9:16") or "9:16",
)
fps = 24
duration = int(getattr(job, "duration", 15) or 15)
est_tokens = duration * w * h * fps // 1024
actual_tokens = None
if isinstance(usage, dict):
at = usage.get("completion_tokens")
if isinstance(at, (int, float)) and at > 0:
actual_tokens = int(at)
diff_pct = None
if actual_tokens and est_tokens > 0:
diff_pct = (actual_tokens - est_tokens) * 100.0 / est_tokens
logger.info(
"[爆款视频] tokens估算vs实际 job_id=%s duration=%s %sx%s model=%s est=%s actual=%s diff=%.1f%%",
job.id,
duration,
w,
h,
getattr(job, "video_model", "seedance-2.5"),
est_tokens,
actual_tokens,
diff_pct if diff_pct is not None else 0.0,
)
actual_credits = calculate_viral_video_credits(
duration,
w,
h,
getattr(job, "video_model", "") or "seedance-2.5",
actual_tokens=actual_tokens,
)
svc = PointsService()
ssn = SessionLocal()
try:
svc.settle_viral_video(
job.user_id,
prepaid,
actual_credits,
getattr(job, "credits_transaction_id", "") or "",
ssn,
)
job.credits_cost = actual_credits
job.credits_prepaid = 0.0
finally:
ssn.close()
except Exception:
logger.exception("[爆款视频] 积分结算异常 job_id=%s", job.id)
# 结算异常不阻塞任务完成:保守按预扣值记 credits_cost
job.credits_cost = float(getattr(job, "credits_prepaid", 0) or 0)
job.credits_prepaid = 0.0
def _run_render_pipeline(job_id: str, session, repo, job) -> dict:
"""v1.6.1 阶段3:出片前合规审核(LLM 深度)→ TTS → Seedance → Upload → Completed。
@@ -1306,16 +1706,30 @@ def _run_render_pipeline(job_id: str, session, repo, job) -> dict:
tts_url = _upload_tts_to_oss(job, tts_path)
_emit_progress(job_id, ViralVideoStage.TTS, 78.0, "配音完成", {"has_tts": tts_url is not None})
# Step 6: 单次 Seedance
# Step 6: 单次 Seedance(失败自动退款)
_set_stage(job, repo, session, ViralVideoStage.RENDERING, "正在生成视频(约1-3分钟)...")
video_path = _step_render(job, copy_result, tts_url)
video_path = None
usage = None
try:
video_path, usage = _step_render(job, copy_result, tts_url)
except Exception as e:
logger.error("[爆款视频][阶段3] Seedance 生成失败,触发退款: %s", e, exc_info=True)
# 退款
_try_refund_viral_video(job)
raise
_emit_progress(job_id, ViralVideoStage.RENDERING, 92.0, "视频生成完成")
# Step 7: Upload
_set_stage(job, repo, session, ViralVideoStage.UPLOADING, "正在上传视频...")
video_url = _step_upload(job, video_path)
job.credits_cost = CREDITS_VIRAL_VIDEO_COST
# P2-2 OSS 一致性:上传后循环 head 确认公网可访问(最多等 10s),
# 避免前端拿到 completed 立即下载时命中 NoSuchKey。
if video_url:
_wait_oss_ready(video_url, timeout_sec=10)
# 积分结算:按实际 tokens 多退少补
_settle_viral_video(job, usage)
job.mark_completed(video_url)
job.current_stage = ViralVideoStage.UPLOADING
job.phase_message = "视频生成完成"
@@ -1338,18 +1752,42 @@ def run_viral_video_render(self: Task, job_id: str) -> dict:
"""v1.6 阶段3:TTS + 单次 Seedance 生成 + 上传。"""
session = None
try:
_recover_stale_jobs() # 顺带回收僵尸任务
_hb_stop = None
session, repo, job = _get_repo_and_job(job_id)
if job is None:
return {"ok": False, "error": "job not found"}
if job.status != ViralVideoStatus.RUNNING:
return {"ok": False, "error": f"unexpected status: {job.status}"}
job.touch_heartbeat()
_save_job(repo, job, session)
_hb_stop, _hb_thread = _start_heartbeat_thread(job_id)
return _run_render_pipeline(job_id, session, repo, job)
except Retry:
raise
except Exception as e:
logger.error("[爆款视频][阶段3] 异常: %s", e, exc_info=True)
# 兜底:任何阶段3异常都尝试退款(_step_render 内部异常已经退过,但 upload 等后续失败也需退)
try:
if session is not None:
job_safe = None
try:
repo_safe = SQLAlchemyViralVideoJobRepository(session)
job_safe = repo_safe.get(job_id)
except Exception:
pass
if job_safe is not None and float(getattr(job_safe, "credits_prepaid", 0) or 0) > 0:
_try_refund_viral_video(job_safe)
try:
repo_safe.update(job_safe)
except Exception:
pass
except Exception:
logger.exception("[爆款视频][阶段3] 兜底退款异常")
_mark_failed_and_notify(job_id, session, None, None, str(e), ViralVideoStage.RENDERING)
return {"ok": False, "job_id": job_id, "error": str(e)}
finally:
if _hb_stop is not None:
_hb_stop.set()
if session:
session.close()
+11 -7
View File
@@ -56,7 +56,7 @@ class UserModel(Base):
is_member = Column(Boolean, nullable=False, default=False)
member_type = Column(String(20), nullable=True)
member_expires_at = Column(DateTime, nullable=True)
points_balance = Column(Integer, nullable=False, default=0)
points_balance = Column(Float, nullable=False, default=0)
created_at = Column(DateTime, nullable=False, default=lambda: datetime.now(UTC))
@@ -775,9 +775,9 @@ class PointsAccountModel(Base):
id = Column(String(36), primary_key=True)
user_id = Column(String(36), nullable=False, unique=True, index=True)
balance = Column(Integer, nullable=False, default=0)
total_earned = Column(Integer, nullable=False, default=0)
total_spent = Column(Integer, nullable=False, default=0)
balance = Column(Float, nullable=False, default=0)
total_earned = Column(Float, nullable=False, default=0)
total_spent = Column(Float, nullable=False, default=0)
created_at = Column(DateTime, nullable=False, default=lambda: datetime.now(UTC))
updated_at = Column(DateTime, nullable=False, default=lambda: datetime.now(UTC))
@@ -792,8 +792,8 @@ class PointsTransactionModel(Base):
account_id = Column(String(36), nullable=False, index=True)
type = Column(String(20), nullable=False, index=True) # earn / spend / refund
source = Column(String(50), nullable=False, index=True)
amount = Column(Integer, nullable=False)
balance_after = Column(Integer, nullable=False)
amount = Column(Float, nullable=False)
balance_after = Column(Float, nullable=False)
description = Column(String(255), nullable=False, default="")
ref_id = Column(String(100), nullable=False, default="")
created_at = Column(DateTime, nullable=False, default=lambda: datetime.now(UTC))
@@ -952,6 +952,7 @@ class ViralVideoJobModel(Base):
status = Column(String(30), nullable=False, default="pending", index=True)
current_stage = Column(String(200), nullable=False, default="") # 细粒度阶段 snake_case
phase_message = Column(String(500), nullable=False, default="") # 阶段中文提示文案
heartbeat_at = Column(DateTime, nullable=True, index=True) # worker 心跳,用于僵尸任务超时回收
intent_result = Column(JSON, nullable=True)
image_analysis = Column(JSON, nullable=True)
storyboard = Column(JSON, nullable=True)
@@ -960,7 +961,10 @@ class ViralVideoJobModel(Base):
JSON, nullable=True
) # v1.6: 编导脚本结构{overview,scene_and_lighting,shots,hard_constraints,negative_prompts,voiceover_script}
result_video_url = Column(String(1000), nullable=False, default="")
credits_cost = Column(Integer, nullable=False, default=0)
credits_cost = Column(Float, nullable=False, default=0)
video_resolution = Column(String(20), nullable=False, default="720p")
credits_prepaid = Column(Float, nullable=False, default=0.0)
credits_transaction_id = Column(String(36), nullable=False, default="")
error_msg = Column(Text, nullable=False, default="")
retry_count = Column(Integer, nullable=False, default=0)
started_at = Column(DateTime(timezone=True), nullable=True)
@@ -39,13 +39,17 @@ def _to_domain(model: ViralVideoJobModel) -> ViralVideoJob:
status=ViralVideoStatus(model.status) if model.status else ViralVideoStatus.PENDING,
current_stage=getattr(model, "current_stage", "") or "",
phase_message=getattr(model, "phase_message", "") or "",
heartbeat_at=getattr(model, "heartbeat_at", None),
intent_result=dict(model.intent_result) if model.intent_result else None,
image_analysis=dict(model.image_analysis) if getattr(model, "image_analysis", None) else None,
storyboard=list(model.storyboard) if getattr(model, "storyboard", None) else None,
generated_copy_text=getattr(model, "generated_copy_text", "") or "",
copy_result=dict(model.copy_result) if getattr(model, "copy_result", None) else None,
result_video_url=model.result_video_url or "",
credits_cost=model.credits_cost or 0,
video_resolution=getattr(model, "video_resolution", "720p") or "720p",
credits_prepaid=float(getattr(model, "credits_prepaid", 0) or 0),
credits_transaction_id=getattr(model, "credits_transaction_id", "") or "",
credits_cost=float(model.credits_cost or 0),
error_msg=model.error_msg or "",
retry_count=model.retry_count or 0,
started_at=model.started_at,
@@ -87,13 +91,17 @@ class SQLAlchemyViralVideoJobRepository:
status=job.status,
current_stage=job.current_stage or "",
phase_message=job.phase_message or "",
heartbeat_at=job.heartbeat_at,
intent_result=job.intent_result,
image_analysis=job.image_analysis,
storyboard=job.storyboard,
generated_copy_text=job.generated_copy_text,
copy_result=job.copy_result,
result_video_url=job.result_video_url,
credits_cost=job.credits_cost,
video_resolution=getattr(job, "video_resolution", "720p") or "720p",
credits_prepaid=float(getattr(job, "credits_prepaid", 0) or 0),
credits_transaction_id=getattr(job, "credits_transaction_id", "") or "",
credits_cost=float(getattr(job, "credits_cost", 0) or 0),
error_msg=job.error_msg,
retry_count=job.retry_count,
started_at=job.started_at,
@@ -112,13 +120,17 @@ class SQLAlchemyViralVideoJobRepository:
model.status = job.status
model.current_stage = job.current_stage or ""
model.phase_message = job.phase_message or ""
model.heartbeat_at = job.heartbeat_at
model.intent_result = job.intent_result
model.image_analysis = job.image_analysis
model.storyboard = job.storyboard
model.generated_copy_text = job.generated_copy_text or ""
model.copy_result = job.copy_result
model.result_video_url = job.result_video_url
model.credits_cost = job.credits_cost
model.video_resolution = getattr(job, "video_resolution", "720p") or "720p"
model.credits_prepaid = float(getattr(job, "credits_prepaid", 0) or 0)
model.credits_transaction_id = getattr(job, "credits_transaction_id", "") or ""
model.credits_cost = float(getattr(job, "credits_cost", 0) or 0)
model.error_msg = job.error_msg
model.retry_count = job.retry_count
model.started_at = job.started_at
+2 -2
View File
@@ -95,8 +95,8 @@ class SharedSettings(BaseSettings):
doubao_base_url: str = "https://ark.cn-beijing.volces.com/api/v3"
doubao_timeout: int = 30
doubao_max_retries: int = 2
doubao_vision_model: str = "doubao-1-5-vision-pro-250915" # 高精度视觉(备用)
doubao_vision_lite_model: str = "doubao-1-5-vision-lite-250915" # 快速视觉(商品识别默认,速度优先)
doubao_vision_model: str = "doubao-1-5-vision-pro-250328" # 高精度视觉(备用)
doubao_vision_lite_model: str = "doubao-1-5-vision-lite-250315" # 快速视觉(商品识别默认,速度优先)
doubao_vision_use_lite: bool = True # viral-video 图片分析默认用 lite 提速
doubao_embedding_model: str = "doubao-embedding-large-text-240915"
doubao_video_model: str = "doubao-seedance-2-5-260628"
+3 -3
View File
@@ -9,9 +9,9 @@ from uuid import uuid4
class PointsAccount:
id: str
user_id: str
balance: int = 0
total_earned: int = 0
total_spent: int = 0
balance: float = 0.0
total_earned: float = 0.0
total_spent: float = 0.0
created_at: datetime = field(default_factory=lambda: datetime.now(UTC))
updated_at: datetime = field(default_factory=lambda: datetime.now(UTC))
+207 -54
View File
@@ -1,32 +1,198 @@
"""积分消耗规则配置 (#1895)"""
"""积分消耗规则配置 (#1895)
v1.6.1: 按产品决策,智能混剪/AI数字人/AI配音/抖音解析/改写/标题/封面 全部免费,
仅保留声音克隆合成(voice_clone_synth)的扣点逻辑;声音克隆训练保持免费。
爆款视频(viral_video)走动态定价,见本文件 VIRAL_VIDEO_MODEL_PRICES + calculate_viral_video_credits。
"""
from __future__ import annotations
import math
# ============ 爆款视频动态定价 (#2151) ============
# key = (model_id, resolution, has_video_input),单位:元/百万token
VIRAL_VIDEO_MODEL_PRICES: dict[tuple[str, str, bool], float] = {
("seedance-2.5", "480p", False): 70.0,
("seedance-2.5", "720p", False): 70.0,
("seedance-2.5", "1080p", False): 77.0,
("seedance-2.5", "480p", True): 42.0,
("seedance-2.5", "720p", True): 42.0,
("seedance-2.5", "1080p", True): 46.0,
("seedance-2.0", "480p", False): 46.0,
("seedance-2.0", "720p", False): 46.0,
("seedance-2.0", "1080p", False): 51.0,
}
# 固定成本(元):VLM 分析 + LLM 文案 + TTS + OSS + 服务器
VIRAL_VIDEO_FIXED_COST = 0.15
# 利润系数
VIRAL_VIDEO_PROFIT_MULTIPLIER = 1.3
# Seedance 输出帧率
VIRAL_VIDEO_FPS = 24
# 分辨率别名映射 -> 标准 key
_RESOLUTION_ALIASES: dict[str, str] = {
"480p": "480p",
"普清": "480p",
"default": "480p",
"low": "480p",
"sd": "480p",
"720p": "720p",
"高清": "720p",
"medium": "720p",
"hd": "720p",
"1080p": "1080p",
"超清": "1080p",
"high": "1080p",
"ultra": "1080p",
"全能": "1080p",
"fhd": "1080p",
}
# 分辨率 -> 短边像素数(p 值代表短边,不是 height)
_RESOLUTION_SHORT_SIDE: dict[str, int] = {"480p": 480, "720p": 720, "1080p": 1080}
def resolve_video_dimensions(resolution: str, ratio: str) -> tuple[int, int]:
"""把 (resolution, ratio) 解析为 (width, height)。
resolution 数字代表短边像素数(480p/720p/1080p 等):
- 横屏 16:9:短边是 height,width = short * 16/9
- 竖屏 9:16:短边是 width,height = short * 16/9
- 方屏 1:1:width = height = short
"""
key = str(resolution or "").strip()
key_l = key.lower()
res_key = _RESOLUTION_ALIASES.get(key_l) or _RESOLUTION_ALIASES.get(key) or "720p"
short = _RESOLUTION_SHORT_SIDE.get(res_key, 720)
r = str(ratio or "").strip().lower()
if r == "16:9":
# 横屏:短边是 height,width 向上取整并对齐偶数
w = math.ceil(short * 16 / 9)
h = short
elif r == "1:1":
w, h = short, short
else:
# 9:16 竖屏(默认):短边是 width,height 向上取整并对齐偶数
w = short
h = math.ceil(short * 16 / 9)
# 对齐到偶数(视频编码要求)
w = w + (w % 2)
h = h + (h % 2)
return int(w), int(h)
def _match_model_prefix(model: str) -> str:
"""匹配 model 前缀。"""
m = (model or "").strip().lower()
for prefix in ("seedance-2.5", "seedance-2.0"):
if m.startswith(prefix):
return prefix
return "seedance-2.5"
def _infer_resolution_key(width: int, height: int) -> str:
"""从实际 (width, height) 用短边推断 resolution key。"""
short = min(int(width or 720), int(height or 720))
if short >= 1000:
return "1080p"
if short >= 650:
return "720p"
return "480p"
def calculate_viral_video_credits_with_breakdown(
duration_seconds: int,
width: int,
height: int,
model: str = "seedance-2.5",
has_video_input: bool = False,
actual_tokens: int | None = None,
fps: int = VIRAL_VIDEO_FPS,
) -> tuple[float, dict]:
"""计算爆款视频所需积分(1 积分 = 1 元),并返回计费公式明细。
公式:
tokens = duration * width * height * fps / 1024
video_cost = tokens / 1_000_000 * model_token_price
total = round((video_cost + fixed_cost) * profit_multiplier, 2)
若传入 actual_tokens 则用它替代计算值。
Returns:
(credits, breakdown) 二元组:
- credits: 四舍五入保留两位小数的最终积分
- breakdown: dict,包含 tokens / video_cost / fixed_cost / profit_multiplier /
model_price / width / height / fps 字段,便于前端展示计费明细。
"""
w = max(1, int(width or 1))
h = max(1, int(height or 1))
effective_fps = int(fps or VIRAL_VIDEO_FPS)
prefix = _match_model_prefix(model)
res_key = _infer_resolution_key(w, h)
key = (prefix, res_key, bool(has_video_input))
price = VIRAL_VIDEO_MODEL_PRICES.get(key)
if price is None:
price = VIRAL_VIDEO_MODEL_PRICES.get(("seedance-2.5", res_key, False), 70.0)
if actual_tokens is not None and actual_tokens > 0:
tokens = float(actual_tokens)
else:
dur = max(1, int(duration_seconds or 15))
tokens = dur * w * h * effective_fps / 1024.0
video_cost = tokens / 1_000_000.0 * float(price)
total = (video_cost + VIRAL_VIDEO_FIXED_COST) * VIRAL_VIDEO_PROFIT_MULTIPLIER
credits = round(float(total), 2)
breakdown = {
"tokens": float(tokens),
"video_cost": float(video_cost),
"fixed_cost": float(VIRAL_VIDEO_FIXED_COST),
"profit_multiplier": float(VIRAL_VIDEO_PROFIT_MULTIPLIER),
"model_price": float(price),
"width": int(w),
"height": int(h),
"fps": int(effective_fps),
}
return credits, breakdown
def calculate_viral_video_credits(
duration_seconds: int,
width: int,
height: int,
model: str = "seedance-2.5",
has_video_input: bool = False,
actual_tokens: int | None = None,
fps: int = VIRAL_VIDEO_FPS,
) -> float:
"""计算爆款视频所需积分(1 积分 = 1 元),仅返回积分值(向后兼容包装器)。
内部调用 calculate_viral_video_credits_with_breakdown,仅返回 credits 部分,
保持旧调用方签名与返回值类型不变。
公式:
tokens = duration * width * height * fps / 1024
video_cost = tokens / 1_000_000 * model_token_price
total = round((video_cost + fixed_cost) * profit_multiplier, 2)
若传入 actual_tokens 则用它替代计算值。
"""
credits, _ = calculate_viral_video_credits_with_breakdown(
duration_seconds=duration_seconds,
width=width,
height=height,
model=model,
has_video_input=has_video_input,
actual_tokens=actual_tokens,
fps=fps,
)
return credits
# ============ 场景定义 ============
# 每个场景: base_points(基础积分), unit(计费单位), name(显示名称)
# 每个场景: base_points(基础积分), unit(计费单位), name(显示名称), dynamic(是否动态定价)
# 说明:爆款视频(viral_video)走动态定价(预扣→结算多退少补),因此不使用 @points_gate
# 装饰器,base_points=0,dynamic=True;前端展示场景列表时仍可看到。
POINTS_SCENES: dict[str, dict] = {
"ai_voice": {
"base_points": 1,
"unit": "分钟",
"name": "AI 配音",
"description": "AI 配音每分钟消耗 1 积分(免费用户上浮 15%,会员 8~9 折)",
},
"ai_video": {
"base_points": 3,
"unit": "条",
"name": "智能混剪",
"extra_per_30s": 1,
"description": "智能混剪每条 3 积分起,视频超过 30 秒后每 30 秒加 1 积分;免费用户每日 2 条免费额度",
},
"ai_digital_human": {
"base_points": 15,
"unit": "分钟",
"name": "AI 数字人",
"description": "AI 数字人每分钟消耗 15 积分",
},
"voice_clone_train": {
"base_points": 0,
"unit": "次",
@@ -39,23 +205,16 @@ POINTS_SCENES: dict[str, dict] = {
"name": "声音克隆合成",
"description": "克隆音色合成每分钟消耗 1 积分",
},
"douyin_extract": {
"base_points": 1,
"viral_video": {
"base_points": 0,
"unit": "次",
"name": "抖音链接提取",
"description": "抖音文案提取每次 1 积分",
"name": "爆款视频",
"dynamic": True,
"description": "爆款视频动态定价(按视频时长/分辨率/模型计算,预扣→结算多退少补)",
},
"ai_rewrite": {"base_points": 1, "unit": "次", "name": "AI 改写文案", "description": "AI 改写文案每次 1 积分"},
"ai_title": {
"base_points": 1,
"unit": "次",
"name": "AI 标题生成",
"description": "AI 生成标题每次 1 积分(免费用户实际上浮后 2 积分/次)",
},
"ai_cover": {"base_points": 1, "unit": "张", "name": "AI 封面生成", "description": "AI 封面生成每张 1 积分"},
}
# 免费用户积分消耗上浮系数
# 免费用户积分消耗上浮系数(仅对 voice_clone_synth 生效)
FREE_USER_MULTIPLIER = 1.15
# ============ 积分包定义 ============
@@ -81,9 +240,6 @@ MEMBER_DISCOUNT: dict[str, float] = {
"yearly": 0.8,
}
# 每日免费混剪次数(免费用户)
DAILY_FREE_CLIP_LIMIT = 2
def calculate_points_cost(
scene_key: str,
@@ -91,48 +247,45 @@ def calculate_points_cost(
quantity: int = 1,
duration_minutes: float = 0,
member_type: str | None = None,
) -> int:
) -> float:
"""计算指定场景的积分消耗。
Args:
scene_key: 场景标识,如 "ai_voice"、"ai_video"
scene_key: 场景标识(当前支持 voice_clone_train/voice_clone_synth/viral_video;
viral_video 为动态定价场景,此处返回 0,由业务侧调用
calculate_viral_video_credits 手动计算)
is_member: 是否付费会员
quantity: 数量(按次计费场景)
duration_minutes: 时长分钟数(按时长计费场景)
member_type: 会员类型 (monthly/quarterly/yearly),用于折扣
Returns:
实际消耗积分(已含免费用户 ×1.15 上浮或会员折扣)
Raises:
ValueError: 未知场景标识
实际消耗积分(float;已含免费用户 ×1.15 上浮或会员折扣);免费/动态/已下线场景统一返回 0。
"""
scene = POINTS_SCENES.get(scene_key)
if not scene:
raise ValueError(f"Unknown points scene: {scene_key}")
# 已下线/未注册的场景统一返回 0(免费),保持向后兼容
return 0.0
# 动态定价场景(如 viral_video)由业务侧手动计算,这里统一返回 0
if scene.get("dynamic"):
return 0.0
base = scene["base_points"]
if base == 0:
return 0
return 0.0
# —— 计算基础消耗 ——
unit = scene["unit"]
if unit == "分钟":
total_base = base * max(1, math.ceil(duration_minutes))
elif unit in ("条", "次", "张"):
elif unit in ("次", "张"):
total_base = base * quantity
# 混剪特殊逻辑:视频超过 30s 后每 +30s 额外加 1 积分
if scene_key == "ai_video" and duration_minutes > 0.5:
extra_segments = math.ceil((duration_minutes * 60 - 30) / 30)
if extra_segments > 0:
total_base += scene.get("extra_per_30s", 1) * extra_segments
else:
total_base = base
# —— 会员折扣 / 免费用户上浮 ——
if is_member and member_type and member_type in MEMBER_DISCOUNT:
total_base = max(1, math.floor(total_base * MEMBER_DISCOUNT[member_type]))
elif not is_member:
total_base = math.ceil(total_base * FREE_USER_MULTIPLIER)
return total_base
return float(total_base)
+98 -129
View File
@@ -13,7 +13,6 @@ from typing import Any
from sqlalchemy.orm import Session
from packages.domain.points_rules import (
DAILY_FREE_CLIP_LIMIT,
POINTS_PACKAGES,
)
@@ -84,7 +83,7 @@ class PointsService:
# ──────────────── 余额检查 ────────────────
def check_balance(self, user_id: str, amount: int, db: Session) -> dict[str, Any]:
def check_balance(self, user_id: str, amount: float, db: Session) -> dict[str, Any]:
"""检查余额是否足够。"""
account_data = self.get_or_create_account(user_id, db)
balance = account_data["balance"]
@@ -100,7 +99,7 @@ class PointsService:
def deduct_points(
self,
user_id: str,
amount: int,
amount: float,
source: str,
db: Session,
description: str = "",
@@ -109,7 +108,7 @@ class PointsService:
"""扣减积分(事务性:SELECT FOR UPDATE → 检查余额 → 扣减 → 流水 → 同步用户表)。
Returns:
{"success": True/False, "balance": int, "transaction_id": str|None}
{"success": True/False, "balance": float, "transaction_id": str|None}
"""
PointsAccountModel, PointsTransactionModel, _, _, UserModel = _get_models()
@@ -173,7 +172,7 @@ class PointsService:
except Exception:
db.rollback()
logger.exception(
"积分扣减失败: user_id=%s, amount=%d, source=%s",
"积分扣减失败: user_id=%s, amount=%.2f, source=%s",
user_id,
amount,
source,
@@ -185,7 +184,7 @@ class PointsService:
def add_points(
self,
user_id: str,
amount: int,
amount: float,
source: str,
db: Session,
description: str = "",
@@ -242,7 +241,7 @@ class PointsService:
except Exception:
db.rollback()
logger.exception(
"积分增加失败: user_id=%s, amount=%d, source=%s",
"积分增加失败: user_id=%s, amount=%.2f, source=%s",
user_id,
amount,
source,
@@ -254,7 +253,7 @@ class PointsService:
def refund_points(
self,
user_id: str,
amount: int,
amount: float,
source: str,
db: Session,
ref_id: str = "",
@@ -270,6 +269,92 @@ class PointsService:
ref_id=ref_id,
)
# ──────────────── 爆款视频(viral_video)动态定价 ────────────────
def deduct_viral_video(self, user_id: str, credits: float, job_id: str, db: Session) -> dict[str, Any]:
"""爆款视频预扣积分(confirm-copy 阶段)。"""
return self.deduct_points(
user_id=user_id,
amount=float(credits or 0),
source="viral_video",
db=db,
description="爆款视频生成",
ref_id=job_id,
)
def settle_viral_video(
self,
user_id: str,
estimated: float,
actual: float,
txn_id: str,
db: Session,
) -> dict[str, Any]:
"""爆款视频完成后按实际 tokens 结算(多退少补)。
- actual < estimated: 退差额
- actual > estimated: 补扣差额(余额不足时记 warning,不阻塞完成)
- |diff| < 0.01: 不动
"""
diff = round(float(actual or 0) - float(estimated or 0), 2)
if abs(diff) < 0.01:
return {"success": True, "action": "none", "diff": 0.0}
if diff < 0:
refund = round(-diff, 2)
try:
res = self.refund_points(
user_id=user_id,
amount=refund,
source="viral_video",
db=db,
ref_id=txn_id,
description="爆款视频结算退费",
)
return {"success": bool(res.get("success")), "action": "refund", "diff": -refund, "amount": refund}
except Exception:
logger.exception("[viral_video] 结算退费异常 user_id=%s refund=%.2f", user_id, refund)
return {"success": False, "action": "refund", "diff": -refund}
else:
extra = round(diff, 2)
try:
res = self.deduct_points(
user_id=user_id,
amount=extra,
source="viral_video",
db=db,
description="爆款视频结算补扣",
ref_id=txn_id,
)
if not res.get("success"):
logger.warning(
"[viral_video] 结算补扣余额不足 user_id=%s extra=%.2f balance=%s (不阻塞任务完成)",
user_id,
extra,
res.get("balance"),
)
return {"success": bool(res.get("success")), "action": "deduct", "diff": extra, "amount": extra}
except Exception:
logger.exception("[viral_video] 结算补扣异常 user_id=%s extra=%.2f", user_id, extra)
return {"success": False, "action": "deduct", "diff": extra}
def refund_viral_video(self, user_id: str, credits: float, txn_id: str, db: Session) -> dict[str, Any]:
"""爆款视频失败全额退款。"""
amount = float(credits or 0)
if amount <= 0:
return {"success": True, "action": "none", "amount": 0.0}
try:
return self.refund_points(
user_id=user_id,
amount=amount,
source="viral_video",
db=db,
ref_id=txn_id,
description="爆款视频失败退款",
)
except Exception:
logger.exception("[viral_video] 失败退款异常 user_id=%s amount=%.2f", user_id, amount)
return {"success": False, "action": "refund", "amount": amount}
# ──────────────── 流水查询 ────────────────
def get_transactions(
@@ -324,132 +409,16 @@ class PointsService:
"page_size": page_size,
}
# ──────────────── 每日免费混剪额度 ────────────────
def _daily_key(self, user_id: str) -> str:
"""生成 Redis 每日额度 key。格式: daily_usage:{user_id}:{YYYYMMDD}:free_clip"""
today = datetime.now(UTC).strftime("%Y%m%d")
return f"daily_usage:{user_id}:{today}:free_clip"
def check_daily_free_clip(self, user_id: str, db: Session) -> bool:
"""检查今日是否还有免费混剪额度。
优先查 Redis,Redis 不可用时降级到 DB。
"""
redis_client = _get_redis_client()
if redis_client:
try:
key = self._daily_key(user_id)
current = redis_client.get(key)
if current is None:
return True
return int(current) < DAILY_FREE_CLIP_LIMIT
except Exception:
logger.warning("Redis 不可用,降级到 DB 查询每日额度")
# 降级到 DB
_, _, _, DailyUsageRecordModel, _ = _get_models()
today_start = datetime.now(UTC).replace(hour=0, minute=0, second=0, microsecond=0)
record = (
db.query(DailyUsageRecordModel)
.filter(
DailyUsageRecordModel.user_id == user_id,
DailyUsageRecordModel.usage_type == "free_clip",
DailyUsageRecordModel.usage_date >= today_start,
)
.first()
)
if record is None:
return True
return record.count < DAILY_FREE_CLIP_LIMIT
def record_daily_free_clip(self, user_id: str, db: Session) -> bool:
"""记录使用一次免费混剪。
先 INCR Redis;如果超限回退 Redis。DB 使用 upsert 语义(唯一约束)。
"""
redis_client = _get_redis_client()
if redis_client:
try:
key = self._daily_key(user_id)
new_count = redis_client.incr(key)
if new_count == 1:
redis_client.expire(key, 48 * 3600) # TTL 48h
if new_count <= DAILY_FREE_CLIP_LIMIT:
return True
# 超限,回退 Redis
redis_client.decr(key)
except Exception:
logger.warning("Redis 不可用,降级到 DB 记录每日额度")
# 降级/兜底到 DB(upsert 语义)
_, _, _, DailyUsageRecordModel, _ = _get_models()
today_start = datetime.now(UTC).replace(hour=0, minute=0, second=0, microsecond=0)
record = (
db.query(DailyUsageRecordModel)
.filter(
DailyUsageRecordModel.user_id == user_id,
DailyUsageRecordModel.usage_type == "free_clip",
DailyUsageRecordModel.usage_date >= today_start,
)
.first()
)
if record is None:
if DAILY_FREE_CLIP_LIMIT <= 0:
return False
record = DailyUsageRecordModel(
id=uuid.uuid4().hex,
user_id=user_id,
usage_type="free_clip",
usage_date=datetime.now(UTC),
count=1,
)
db.add(record)
else:
if record.count >= DAILY_FREE_CLIP_LIMIT:
return False
record.count += 1
db.commit()
return True
# ──────────────── 每日免费混剪额度(已下线:智能混剪全免费) ────────────────
def get_daily_usage(self, user_id: str, db: Session) -> dict[str, Any]:
"""查询今日免费额度使用情况。"""
redis_client = _get_redis_client()
used = 0
if redis_client:
try:
key = self._daily_key(user_id)
val = redis_client.get(key)
used = int(val) if val else 0
except Exception:
pass
if used == 0:
# 从 DB 查
_, _, _, DailyUsageRecordModel, _ = _get_models()
today_start = datetime.now(UTC).replace(hour=0, minute=0, second=0, microsecond=0)
record = (
db.query(DailyUsageRecordModel)
.filter(
DailyUsageRecordModel.user_id == user_id,
DailyUsageRecordModel.usage_type == "free_clip",
DailyUsageRecordModel.usage_date >= today_start,
)
.first()
)
used = record.count if record else 0
"""查询今日免费额度使用情况(智能混剪已全免费,返回 unlimited)。"""
now = datetime.now(UTC)
tomorrow = (now + timedelta(days=1)).replace(hour=0, minute=0, second=0, microsecond=0)
return {
"free_clips_used": used,
"free_clips_limit": DAILY_FREE_CLIP_LIMIT,
"free_clips_remaining": max(0, DAILY_FREE_CLIP_LIMIT - used),
"free_clips_used": 0,
"free_clips_limit": -1, # -1 表示 unlimited
"free_clips_remaining": -1,
"reset_at": tomorrow.isoformat(),
}
+17 -5
View File
@@ -69,8 +69,6 @@ class PromptType(StrEnum):
STYLE_CONSTRAINT = "style_constraint"
CREDITS_VIRAL_VIDEO_COST = 50
STAGE_LABELS = {
ViralVideoStage.IMAGE_ANALYSIS: "图片分析",
ViralVideoStage.VIDEO_ANALYSIS: "视频风格分析",
@@ -119,8 +117,12 @@ class ViralVideoJob:
status: ViralVideoStatus = ViralVideoStatus.PENDING
current_stage: str = "" # 细粒度阶段(ViralVideoStage.value,snake_case)
phase_message: str = "" # 阶段中文提示文案,前端轮询直接展示
heartbeat_at: datetime | None = None # worker 心跳时间,用于超时僵尸任务检测
result_video_url: str = ""
credits_cost: int = 0
video_resolution: str = "720p"
credits_prepaid: float = 0.0
credits_transaction_id: str = ""
credits_cost: float = 0.0
error_msg: str = ""
retry_count: int = 0
started_at: datetime | None = None
@@ -140,9 +142,19 @@ class ViralVideoJob:
):
raise ValueError(f"Cannot transition from {self.status} to running")
self.status = ViralVideoStatus.RUNNING
now = datetime.now(timezone.utc)
if self.started_at is None:
self.started_at = datetime.now(timezone.utc)
self.updated_at = datetime.now(timezone.utc)
self.started_at = now
self.heartbeat_at = now
self.updated_at = now
def touch_heartbeat(self) -> None:
"""更新心跳时间(worker 在长任务中周期性调用,用于超时检测)。"""
now = datetime.now(timezone.utc)
if self.started_at is None:
self.started_at = now
self.heartbeat_at = now
self.updated_at = now
def mark_image_analyzed(self) -> None:
if self.status not in (ViralVideoStatus.PENDING, ViralVideoStatus.RUNNING):
-13
View File
@@ -185,19 +185,6 @@ def _execute_with_gate_impl(
is_member = getattr(user, "is_member", False)
member_type = getattr(user, "member_type", None)
if scene_key == "ai_video":
from packages.domain.points_service import PointsService
svc = PointsService()
if not is_member:
if svc.check_daily_free_clip(user.id, db):
svc.record_daily_free_clip(user.id, db)
kwargs["_points_deducted"] = 0
kwargs["_is_free_quota"] = True
if is_async:
return _run_async_impl(func, args, _filter_kwargs_impl(func, kwargs))
return func(*args, **_filter_kwargs_impl(func, kwargs))
if per_unit is not None:
total_points = per_unit
else:
+158 -107
View File
@@ -162,7 +162,7 @@ class DoubaoClient:
"""调用豆包视觉理解 API(OpenAI 兼容多模态格式).
将 images 附加到最后一条 user message 的 content 中,
使用 vision_model(默认 doubao-1-5-vision-pro-250915)。
使用 vision_model(默认 doubao-1-5-vision-pro-250328)。
Args:
messages: 对话消息列表。最后一条 user message 会被注入图片内容。
@@ -261,27 +261,17 @@ class DoubaoClient:
reference_images: list[str] | None = None,
reference_audios: list[str] | None = None,
reference_videos: list[str] | None = None,
) -> str | None:
"""调用 Seedance 2.5 文生/图生视频(异步任务→轮询→下载),返回本地 MP4 路径;失败返回 None。
) -> dict | None:
"""调用 Seedance 2.5 生视频(异步任务→轮询→下载)。
v1.6: 支持多参考图(产品素材)+ 参考音频(TTS口型驱动)+ 参考视频,单次生成最长 30 秒。
成功返回 {"video_path": str, "usage": dict | None},失败返回 None。
usage 是 Seedance 返回的计费信息(含 completion_tokens)。
Args:
prompt: 文本提示词(含完整编导脚本:总览+场景光线+逐镜头时间轴+硬约束+负面词)
image_url: 首帧参考图 URL(可选,提供则走图生视频首帧模式,ratio 跟随首帧)
duration: 视频时长 4~30 秒
ratio: 宽高比 16:9/9:16/1:1/4:3/3:4/21:9/adaptive;image_url 存在时自动忽略
resolution: 480p/720p/1080p
generate_audio: 是否让模型原生合成音效/BGM(v1.6 默认 True,配合 reference_audios 做口型驱动)
watermark: 是否加水印
output_dir: 下载目录,默认 /tmp
model: 指定模型 ID;空则用 settings.doubao_video_model
reference_images: 多参考图 URL 列表(产品素材,最多30张;注意 image_url 为首帧单独传)
reference_audios: 参考音频 URL 列表(TTS口播,驱动口型,最多10段)
reference_videos: 参考视频 URL 列表(风格参考)
Returns:
本地 MP4 文件路径,失败返回 None。
【v1.6.1 修复】严格按官方 content 数组协议构造请求:
- 所有参考(图/音/视)必须放进 content 数组并带 role 字段,不能放顶层 reference_audios/reference_videos(非官方字段,会被忽略或导致异常)。
- 首帧图(first_frame 模式)Seedance 2.5 强制 ratio=adaptive;走 omni_reference(参考生视频)模式时才能指定 9:16/1:1 等具体比例。
判定:传了参考音频/视频或 ≥1 张多参考图时,走 omni_reference(首张图 role=reference_image);纯首帧无参考时走 first_frame(ratio 强制 adaptive)。
- 创建任务若因 ratio 报错(HTTP 400),自动回退到 ratio=adaptive 重试一次。
"""
if not self.is_available:
return None
@@ -290,18 +280,48 @@ class DoubaoClient:
settings = get_shared_settings()
poll_interval = getattr(settings, "doubao_video_poll_interval", 10) or 10
total_timeout = getattr(settings, "doubao_video_timeout", 900) or 900
# 收紧总超时:轮询 8min + 下载 2min = 最长 ~10min,防止出现 20min 卡死
total_timeout = getattr(settings, "doubao_video_timeout", 480) or 480
default_video_model = getattr(settings, "doubao_video_model", None) or "doubao-seedance-2-5-260628"
video_model = model or default_video_model
ref_audios = [u for u in (reference_audios or [])[:10] if u and isinstance(u, str)]
ref_videos = [u for u in (reference_videos or [])[:3] if u and isinstance(u, str)]
ref_imgs = [u for u in (reference_images or [])[:9] if u and isinstance(u, str)]
# 判断任务模式:有参考音/视/多图 → omni_reference(支持指定 ratio);纯首帧 → first_frame(ratio=adaptive)
has_extra_refs = bool(ref_audios or ref_videos or ref_imgs)
is_first_frame_mode = bool(image_url) and not has_extra_refs
# 最终 ratio:first_frame 模式强制 adaptive,否则按用户传值(默认 9:16)
final_ratio = "adaptive" if is_first_frame_mode else (ratio or "9:16")
# 构造 content 数组:text + 图 + 音 + 视
content: list[dict[str, Any]] = [{"type": "text", "text": prompt.strip()}]
if image_url:
content.append({"type": "image_url", "image_url": {"url": image_url}})
# v1.6: 多参考图(产品素材)
if reference_images:
for url in reference_images[:30]:
if url and isinstance(url, str):
content.append({"type": "image_url", "image_url": {"url": url}})
if has_extra_refs:
# omni_reference:首张图作为 reference_image,允许指定 ratio
content.append(
{
"type": "image_url",
"image_url": {"url": image_url},
"role": "reference_image",
}
)
else:
# 纯首帧:不带 role,服务端识别为 first_frame(或显式 role=first_frame)
content.append(
{
"type": "image_url",
"image_url": {"url": image_url},
"role": "first_frame",
}
)
for u in ref_imgs:
content.append({"type": "image_url", "image_url": {"url": u}, "role": "reference_image"})
for u in ref_audios:
content.append({"type": "audio_url", "audio_url": {"url": u}, "role": "reference_audio"})
for u in ref_videos:
content.append({"type": "video_url", "video_url": {"url": u}, "role": "reference_video"})
create_payload: dict[str, Any] = {
"model": video_model,
@@ -310,18 +330,8 @@ class DoubaoClient:
"duration": int(duration),
"resolution": resolution,
"watermark": bool(watermark),
"ratio": final_ratio,
}
# v1.6: 参考音频(TTS 驱动口型)
if reference_audios:
create_payload["reference_audios"] = [
{"url": u, "role": "audio_url"} for u in reference_audios[:10] if u and isinstance(u, str)
]
# v1.6: 参考视频(风格参考)
if reference_videos:
create_payload["reference_videos"] = [{"url": u} for u in reference_videos[:5] if u and isinstance(u, str)]
# Bug #2110 / v1.6: ratio=None 时不传(首帧图生视频跟随原图比例)
if ratio and not image_url:
create_payload["ratio"] = ratio
headers = {
"Authorization": f"Bearer {self.api_key}",
@@ -329,78 +339,95 @@ class DoubaoClient:
}
create_url = f"{self.base_url}/contents/generations/tasks"
logger.info(
"Seedance 创建任务请求: url=%s model=%s duration=%ds ratio=%s gen_audio=%s image_url=%s ref_imgs=%d ref_audios=%d ref_videos=%d",
create_url,
"Seedance 创建任务: model=%s dur=%ds ratio=%s mode=%s gen_audio=%s img=%d aud=%d vid=%d",
video_model,
duration,
ratio or "(follow-image)",
final_ratio,
"first_frame" if is_first_frame_mode else "omni_ref",
generate_audio,
bool(image_url),
len(reference_images or []),
len(reference_audios or []),
len(reference_videos or []),
(1 if image_url else 0) + len(ref_imgs),
len(ref_audios),
len(ref_videos),
)
# 1) 创建任务(带重试)
task_id: str | None = None
last_error: Exception | None = None
for attempt in range(self.max_retries + 1):
try:
resp = httpx.post(create_url, headers=headers, json=create_payload, timeout=self.timeout)
# 测试环境下 MagicMock().status_code 是 MagicMock,与 int 比较会抛 TypeError;
# 用显式 int() 转换+类型判断,避免误判。
def _do_create(payload: dict) -> tuple[str | None, Exception | None, int, str]:
"""返回 (task_id, last_err, status_code, body_text)。"""
last_err: Exception | None = None
for attempt in range(self.max_retries + 1):
try:
_status = int(resp.status_code)
except (TypeError, ValueError):
_status = 200
if _status >= 400:
# 把响应体完整打出来(通常含 error.code/message,能直接定位:模型未开通/Key 无权限/模型 ID 错误)
logger.error(
"Seedance 创建任务 HTTP %d: body=%s",
resp.status_code,
(resp.text or "")[:1000],
)
resp.raise_for_status()
data = resp.json()
task_id = data.get("id")
if task_id:
break
last_error = RuntimeError(f"create task returned no id: {str(data)[:200]}")
except Exception as e:
last_error = e
if attempt < self.max_retries:
wait = 0.5 * (2**attempt)
logger.warning(
"Seedance 创建任务失败,%.1fs 后重试 (%d/%d): %s", wait, attempt + 1, self.max_retries + 1, e
)
time.sleep(wait)
resp = httpx.post(create_url, headers=headers, json=payload, timeout=self.timeout)
sc = int(getattr(resp, "status_code", 0) or 0)
body = (getattr(resp, "text", "") or "")[:1500]
if sc >= 400:
logger.error("Seedance 创建任务 HTTP %d: body=%s", sc, body)
try:
resp.raise_for_status()
except Exception as ee:
last_err = ee
if attempt < self.max_retries:
time.sleep(0.5 * (2**attempt))
continue
return None, last_err, sc, body
data = resp.json()
tid = data.get("id")
if tid:
return tid, None, sc, body
last_err = RuntimeError(f"create ok but no id: {str(data)[:300]}")
except Exception as e:
last_err = e
if attempt < self.max_retries:
wait = 0.5 * (2**attempt)
logger.warning(
"Seedance 创建任务失败,%.1fs 后重试 (%d/%d): %s",
wait,
attempt + 1,
self.max_retries + 1,
e,
)
time.sleep(wait)
return None, last_err, 0, ""
# 第一次尝试
task_id, last_err, sc, body = _do_create(create_payload)
# ratio 兜底:HTTP 400 且 body 提到 ratio / adaptive → 回退 adaptive 再试一次
if (
not task_id
and sc == 400
and final_ratio != "adaptive"
and (
"ratio" in (body or "").lower()
or "aspect" in (body or "").lower()
or "adaptive" in (body or "").lower()
)
):
logger.warning("Seedance 创建因 ratio 失败,回退 ratio=adaptive 重试")
create_payload["ratio"] = "adaptive"
task_id, last_err, sc2, body2 = _do_create(create_payload)
if not task_id:
logger.error(
"Seedance 创建任务最终失败: model=%s base_url=%s err=%s 【排查建议】"
"1) 确认方舟控制台已开通 Doubao-Seedance-2.5 模型;"
"2) DOUBAO_API_KEY 对应的账号有该模型调用权限;"
"3) DOUBAO_BASE_URL 必须为 https://ark.cn-beijing.volces.com/api/v3;"
"4) 若控制台用「推理接入点」(endpoint),请把 DOUBAO_VIDEO_MODEL 改为 ep-xxx 接入点 ID。",
"Seedance 创建任务最终失败: model=%s base_url=%s err=%s body=%s 【排查】"
"1) 方舟控制台已开通 doubao-seedance-2-5-260628;2) API Key 有该模型权限;"
"3) DOUBAO_BASE_URL=https://ark.cn-beijing.volces.com/api/v3;4) 参考素材 URL 公网可访问。",
video_model,
self.base_url,
last_error,
last_err,
(body or "")[:500],
)
return None
logger.info(
"Seedance 任务已创建: task_id=%s model=%s duration=%ds gen_audio=%s",
task_id,
video_model,
duration,
generate_audio,
)
logger.info("Seedance 任务已创建: task_id=%s ratio=%s", task_id, create_payload["ratio"])
# 2) 轮询状态
poll_url = f"{create_url}/{task_id}"
deadline = time.time() + total_timeout
video_url: str | None = None
usage: dict | None = None
last_status: str = "queued"
poll_count = 0
while time.time() < deadline:
poll_count += 1
try:
resp = httpx.get(poll_url, headers=headers, timeout=self.timeout)
try:
@@ -414,49 +441,73 @@ class DoubaoClient:
if status == "succeeded":
content_obj = data.get("content") or {}
video_url = content_obj.get("video_url")
usage = data.get("usage") or content_obj.get("usage") or None
if video_url:
logger.info("Seedance 任务成功: task_id=%s polls=%d usage=%s", task_id, poll_count, usage)
break
last_error = RuntimeError(f"task succeeded but no video_url: {str(data)[:300]}")
last_err = RuntimeError(f"task succeeded but no video_url: {str(data)[:300]}")
logger.error("Seedance succeeded 但无 video_url: %s", last_err)
break
if status == "failed":
err = data.get("error") or {}
last_error = RuntimeError(f"task failed: {err.get('code','')} {err.get('message','')}")
last_err = RuntimeError(f"task failed: code={err.get('code','')} msg={err.get('message','')}")
logger.error("Seedance 任务失败 task_id=%s: %s", task_id, last_err)
break
if status in ("expired", "cancelled"):
last_error = RuntimeError(f"task {status}")
last_err = RuntimeError(f"task {status}")
logger.error("Seedance 任务 %s: task_id=%s", status, task_id)
break
# queued / running: 继续轮询
# 每 5 次轮询打一次 info 日志,便于观察进度
if poll_count % 5 == 0:
logger.info("Seedance 轮询中: task_id=%s status=%s polls=%d", task_id, status, poll_count)
except httpx.HTTPStatusError as e:
last_error = e
logger.warning(
"Seedance 轮询 HTTP %d: body=%s",
e.response.status_code,
(e.response.text or "")[:500],
)
last_err = e
logger.warning("Seedance 轮询 HTTP %d: %s", e.response.status_code, (e.response.text or "")[:300])
except Exception as e:
last_error = e
last_err = e
logger.debug("Seedance 轮询异常: %s", e)
time.sleep(poll_interval)
if not video_url:
logger.error("Seedance 任务未成功: task_id=%s status=%s err=%s", task_id, last_status, last_error)
logger.error(
"Seedance 任务未成功: task_id=%s last_status=%s polls=%d err=%s (总等待 %.0fs)",
task_id,
last_status,
poll_count,
last_err,
total_timeout,
)
return None
# 3) 下载到本地
# 3) 下载到本地(下载超时收紧到 120s)
try:
out_dir = output_dir or "/tmp"
os.makedirs(out_dir, exist_ok=True)
local_path = f"{out_dir}/seedance_{task_id}_{uuid.uuid4().hex[:8]}.mp4"
with httpx.stream("GET", video_url, timeout=300) as r:
download_timeout = 120.0
logger.info(
"Seedance 开始下载: task_id=%s url=%s timeout=%.0fs", task_id, video_url[:120], download_timeout
)
with httpx.stream("GET", video_url, timeout=download_timeout) as r:
r.raise_for_status()
downloaded = 0
with open(local_path, "wb") as f:
for chunk in r.iter_bytes(chunk_size=1024 * 256):
if chunk:
f.write(chunk)
logger.info("Seedance 视频下载完成: %s (%d bytes)", local_path, os.path.getsize(local_path))
return local_path
downloaded += len(chunk)
size = os.path.getsize(local_path)
logger.info("Seedance 视频下载完成: %s size=%d bytes", local_path, size)
if size == 0:
logger.error("Seedance 下载文件大小为 0")
try:
os.remove(local_path)
except Exception:
pass
return None
return {"video_path": local_path, "usage": usage}
except Exception as e:
logger.error("Seedance 视频下载失败: %s", e)
logger.error("Seedance 视频下载失败: %s", e, exc_info=True)
return None
+11 -9
View File
@@ -617,21 +617,23 @@ def call_video_generation(
reference_images: list[str] | None = None,
reference_audios: list[str] | None = None,
reference_videos: list[str] | None = None,
) -> str | None:
"""调用 Seedance 2.5 生成视频(v1.6 单次出片版),返回本地 MP4 路径;失败返回 None。
) -> dict | None:
"""调用 Seedance 2.5 生成视频(v1.6.1 单次出片版)。
v1.6:
- 默认 generate_audio=True,模型原生合成环境音效/BGM;
- reference_audios 传 TTS 音频 URL 数组做口型驱动;
- reference_images 传产品素材 URL 数组做视觉参考;
- 单次最长 30 秒,不分段不拼接;
- image_url 存在时为「首帧图生视频」模式,自动不传 ratio(Bug #2110)。
成功返回 {"video_path": str, "usage": dict | None}(usage 含 completion_tokens),失败返回 None。
v1.6.1 关键约束(避免 20min 卡死):
- 参考音频/视频/多图全部放进 content 数组并带 role=reference_audio/reference_video/reference_image;
- 纯首帧无参考时(first_frame 模式),Seedance 2.5 强制 ratio=adaptive;
传了参考音/视/多图时走 omni_reference 模式,ratio 可指定为 9:16(客户端内部自动判断)。
- ratio 默认 9:16(竖屏),客户端会根据是否有参考自动在 first_frame/adaptive 与 omni/9:16 间切换;
若创建任务因 ratio 报错(HTTP 400),客户端会自动回退到 adaptive 再试一次。
"""
client = get_doubao_client()
if not client.is_available:
logger.warning("[ai_service] 豆包客户端未配置,跳过视频生成")
return None
effective_ratio = None if image_url else ratio
effective_ratio = ratio or "9:16"
try:
kwargs: dict = dict(
prompt=prompt,
+19 -28
View File
@@ -377,32 +377,12 @@ class TestPrepareNarrativeVoice:
assert ei.value.status_code == 502
assert "配音合成失败" in ei.value.message
def test_points_insufficient_402(self, monkeypatch):
class FakePoints:
def deduct_points(self, *a, **k):
return {"success": False, "balance": 0}
def test_no_points_service_invoked(self, monkeypatch):
"""v1.6.2: 叙事配音已免费,不再实例化 PointsService / 扣点/退费。"""
# 确认 narrative_service 已不再暴露 PointsService
assert not hasattr(ns, "PointsService"), "narrative_service 不应再导入 PointsService"
monkeypatch.setattr(ns, "PointsService", lambda: FakePoints())
deps = self._deps(points_enabled=True)
with pytest.raises(NarrativeError) as ei:
prepare_narrative_voice(**deps)
assert ei.value.status_code == 402
def test_points_refund_on_failure(self, monkeypatch):
class FakePoints:
def __init__(self):
self.refunded = 0
def deduct_points(self, *a, **k):
return {"success": True, "balance": 100}
def refund_points(self, user_id, amount, source, db, ref_id="", **k):
self.refunded += amount
points = FakePoints()
monkeypatch.setattr(ns, "PointsService", lambda: points)
class FailingWorkflow:
class FakeWorkflow:
def __init__(self, *, repository, cosyvoice_service):
pass
@@ -412,11 +392,22 @@ class TestPrepareNarrativeVoice:
def process_synthesis_failure(self, job_id, error):
return None
monkeypatch.setattr(ns, "TTSWorkflowService", FailingWorkflow)
monkeypatch.setattr(ns, "TTSWorkflowService", FakeWorkflow)
deps = self._deps(points_enabled=True)
with pytest.raises(NarrativeError):
with pytest.raises(NarrativeError) as ei:
prepare_narrative_voice(**deps)
assert points.refunded > 0
# 走 502 业务错误路径,不再退费
assert ei.value.status_code == 502
def test_module_has_no_points_imports(self):
"""模块源码不再包含扣点相关符号。"""
import inspect
src = inspect.getsource(ns)
assert "PointsService" not in src
assert "calculate_points_cost" not in src
assert "_points_scene" not in src
assert "_POINTS_SCENE" not in src
def test_clone_source_resolves_profile(self, monkeypatch):
captured = {}
+3 -1
View File
@@ -87,7 +87,9 @@ _GEN_TASKS_PATH = Path(__file__).resolve().parents[2] / "apps/api/app/api/routes
def _load_infer_func():
src = _GEN_TASKS_PATH.read_text()
start = src.index("# #2035:文案关键词")
end = src.index("from packages.middleware")
# 用紧跟 _infer_expected_categories 后的 logger 行作为结束锚点
end_marker = "\nlogger = logging.getLogger"
end = src.index(end_marker, start)
code = src[start:end]
ns: dict = {}
exec(code, ns)
+14 -37
View File
@@ -1,48 +1,25 @@
"""AI数字人渲染 积分扣点单元测试 (#1895 P2 step 2.6)"""
"""AI 数字人渲染 — v1.6.2 起免费,不扣积分"""
from __future__ import annotations
from unittest.mock import MagicMock, patch
import pytest
import packages.middleware.points_gate as _pg_module
@pytest.fixture(autouse=True)
def _enable(monkeypatch):
monkeypatch.setattr(_pg_module, "_points_gate_enabled", lambda: True)
yield
class TestAiAvatarRenderPoints:
def test_ai_digital_human_per_unit(self):
class TestAiAvatarRenderFree:
def test_ai_digital_human_returns_zero_cost(self):
from packages.domain.points_rules import calculate_points_cost
cost = calculate_points_cost("ai_digital_human", is_member=False, duration_minutes=1)
assert cost >= 15
assert calculate_points_cost("ai_digital_human", is_member=False, duration_minutes=1) == 0
assert calculate_points_cost("ai_digital_human", is_member=True, duration_minutes=5) == 0
def test_decorator_attached(self):
def test_no_points_gate_decorator(self):
from app.api.routes.ai_avatar_render import create_render_job
assert hasattr(create_render_job, "__wrapped__"), "missing @points_gate"
assert not hasattr(create_render_job, "__wrapped__")
def test_insufficient_raises_402(self):
from app.api.routes.ai_avatar_render import create_render_job
from app.schemas.ai_avatar_render import CreateAiAvatarRenderRequest
from fastapi import HTTPException
def test_module_has_no_points_imports(self):
import inspect
db = MagicMock()
cu = MagicMock()
cu.user.id = "u1"
cu.user.is_member = False
cu.user.member_type = None
svc = MagicMock()
body = CreateAiAvatarRenderRequest(lipsync_job_id="lip1")
with patch("packages.domain.points_service.PointsService") as MS:
msvc = MagicMock()
msvc.deduct_points.return_value = {"success": False, "balance": 0}
MS.return_value = msvc
with pytest.raises(HTTPException) as ei:
create_render_job(body=body, current_user=cu, svc=svc, db=db)
assert ei.value.status_code == 402
from app.api.routes import ai_avatar_render as mod
src = inspect.getsource(mod)
assert "PointsService" not in src
assert "points_gate" not in src
+10 -10
View File
@@ -112,10 +112,10 @@ class TestVideoGenerationHappyPath:
resolution="720p",
output_dir=str(tmp_path),
)
assert out is not None
assert Path(out).exists()
assert Path(out).name == "seedance_task-001_abcd1234.mp4"
assert Path(out).read_bytes() == b"FAKEMP4DATA"
assert out is not None and isinstance(out, dict)
assert Path(out["video_path"]).exists()
assert Path(out["video_path"]).name == "seedance_task-001_abcd1234.mp4"
assert Path(out["video_path"]).read_bytes() == b"FAKEMP4DATA"
assert calls["post"] == 1
assert calls["get"] == 1
@@ -325,8 +325,8 @@ class TestVideoGenerationPollLoop:
doubao_video_poll_interval=0, doubao_video_timeout=200, doubao_video_model="seedance"
)
out = client.video_generation("p", output_dir=str(tmp_path))
assert out is not None
assert Path(out).read_bytes() == b"DATA"
assert out is not None and isinstance(out, dict)
assert Path(out["video_path"]).read_bytes() == b"DATA"
# queued 和 running 各 sleep 一次
assert len(sleeps) >= 2
@@ -373,8 +373,8 @@ class TestVideoGenerationPollLoop:
doubao_video_poll_interval=0, doubao_video_timeout=100, doubao_video_model="seedance"
)
out = client.video_generation("p", output_dir=str(tmp_path))
assert out is not None
assert Path(out).exists()
assert out is not None and isinstance(out, dict)
assert Path(out["video_path"]).exists()
assert poll_calls["n"] == 2
def test_default_output_dir_and_audio_watermark(self, tmp_path, monkeypatch):
@@ -442,8 +442,8 @@ class TestVideoGenerationPollLoop:
out = client.video_generation(
"p", duration=3, ratio="1:1", resolution="480p", generate_audio=True, watermark=True
)
assert out is not None
assert "/tmp/seedance_t-default_00000001.mp4" in out
assert out is not None and isinstance(out, dict)
assert out["video_path"] == "/tmp/seedance_t-default_00000001.mp4"
assert captured["json"]["generate_audio"] is True
assert captured["json"]["watermark"] is True
assert captured["json"]["ratio"] == "1:1"
+46 -14
View File
@@ -95,25 +95,29 @@ class TestCheckEndpointWhenDisabled:
# 不再走免费额度判定
svc.check_daily_free_clip.assert_not_called()
def test_unknown_scene_still_400_when_disabled(self):
"""未知 scene 即使系统关闭也返回 400(参数校验先于开关)。"""
def test_unknown_scene_allowed_when_disabled(self):
"""任意 scene_key(含未知/已下线)系统关闭时都返回 allowed=True, cost=0。"""
from app.api.routes.points import check_points
from app.schemas.points import PointsCheckRequest
from fastapi import HTTPException
with pytest.raises(HTTPException) as exc:
check_points(body=PointsCheckRequest(scene_key="nope"), current_user=_make_cu(), db=MagicMock())
assert exc.value.status_code == 400
svc = MagicMock()
svc.get_or_create_account.return_value = {"balance": 0}
with (
patch("app.api.routes.points._credits_enabled", return_value=False),
patch("app.api.routes.points._get_service", return_value=svc),
):
resp = check_points(body=PointsCheckRequest(scene_key="nope"), current_user=_make_cu(), db=MagicMock())
assert resp.allowed is True
assert resp.required_points == 0
def test_check_enabled_calculates_cost(self):
"""开关开启时保持原有计费校验。"""
"""开关开启时保持原有计费校验(voice_clone_synth 正常计费)。"""
from app.api.routes.points import check_points
from app.schemas.points import PointsCheckRequest
svc = MagicMock()
svc.check_daily_free_clip.return_value = False
svc.get_or_create_account.return_value = {"balance": 100}
body = PointsCheckRequest(scene_key="ai_title", quantity=1)
body = PointsCheckRequest(scene_key="voice_clone_synth", quantity=1, duration_minutes=1)
with (
patch("app.api.routes.points._credits_enabled", return_value=True),
@@ -123,6 +127,23 @@ class TestCheckEndpointWhenDisabled:
assert resp.required_points == 2 # 免费用户 ceil(1*1.15)=2
def test_retired_scene_free_when_enabled(self):
"""开关开启时,已下线场景返回 cost=0,直接放行。"""
from app.api.routes.points import check_points
from app.schemas.points import PointsCheckRequest
svc = MagicMock()
svc.get_or_create_account.return_value = {"balance": 0}
with (
patch("app.api.routes.points._credits_enabled", return_value=True),
patch("app.api.routes.points._get_service", return_value=svc),
):
for scene in ["ai_voice", "ai_title", "ai_video", "ai_digital_human", "nope"]:
body = PointsCheckRequest(scene_key=scene, quantity=1)
resp = check_points(body=body, current_user=_make_cu(), db=MagicMock())
assert resp.required_points == 0, f"{scene} should be free"
assert resp.allowed is True
# ── /points/deduct:关闭时 no-op,余额不变 ────────────────────────────────
@@ -217,13 +238,24 @@ class TestQueryEndpointsRemainAvailable:
class TestBusinessRoutesBypassWhenDisabled:
def test_lipsync_route_skips_points(self):
"""lipsync 创建任务路由:settings.points_enabled=False 时不构造 PointsService。"""
def test_lipsync_route_has_no_points_logic(self):
"""lipsync 路由:已移除手动扣点代码(不导入 PointsService/calculate_points_cost)。"""
import inspect
from app.api.routes import lipsync as lipsync_mod
assert bool(getattr(lipsync_mod.settings, "points_enabled", False)) is False
src = inspect.getsource(lipsync_mod)
assert "PointsService" not in src
assert "calculate_points_cost" not in src
assert "_points_deducted" not in src
def test_tts_route_has_no_points_logic(self):
"""tts 路由:已移除手动扣点代码(不导入 PointsService/calculate_points_cost)。"""
import inspect
def test_tts_route_skips_points(self):
from app.api.routes import tts as tts_mod
assert bool(getattr(tts_mod.settings, "points_enabled", False)) is False
src = inspect.getsource(tts_mod)
assert "PointsService" not in src
assert "calculate_points_cost" not in src
assert "_points_deducted" not in src
+16 -19
View File
@@ -1,28 +1,25 @@
"""AI封面生成 积分扣点单元测试 (#1895 P2 step 2.7)"""
"""封面生成 — v1.6.2 起免费,不扣积分"""
from __future__ import annotations
from unittest.mock import MagicMock, patch
import pytest
import packages.middleware.points_gate as _pg_module
@pytest.fixture(autouse=True)
def _enable(monkeypatch):
monkeypatch.setattr(_pg_module, "_points_gate_enabled", lambda: True)
yield
class TestGenerationCoverPoints:
def test_ai_cover_cost(self):
class TestGenerationCoverFree:
def test_ai_cover_returns_zero_cost(self):
from packages.domain.points_rules import calculate_points_cost
assert calculate_points_cost("ai_cover", is_member=False) == 2
assert calculate_points_cost("ai_cover", is_member=True, member_type="yearly") >= 0
assert calculate_points_cost("ai_cover", is_member=False, quantity=1) == 0
assert calculate_points_cost("ai_cover", is_member=True, quantity=10) == 0
def test_decorator_attached(self):
def test_no_points_gate_decorator(self):
from app.api.routes.generation_cover import generate_cover
assert hasattr(generate_cover, "__wrapped__"), "missing @points_gate"
assert not hasattr(generate_cover, "__wrapped__")
def test_endpoint_has_no_points_logic(self):
import inspect
from app.api.routes import generation_cover as mod
src = inspect.getsource(mod)
assert "PointsService" not in src
assert "deduct_points" not in src
+20 -43
View File
@@ -1,54 +1,31 @@
"""视频预览生成 积分扣点单元测试 (#1895 P2 step 2.5)"""
"""视频预览生成 — v1.6.2 起免费,不扣积分"""
from __future__ import annotations
from unittest.mock import MagicMock, patch
import pytest
import packages.middleware.points_gate as _pg_module
@pytest.fixture(autouse=True)
def _enable(monkeypatch):
monkeypatch.setattr(_pg_module, "_points_gate_enabled", lambda: True)
yield
class TestGenerationPreviewPoints:
def test_ai_video_cost(self):
class TestGenerationPreviewFree:
def test_ai_video_returns_zero_cost(self):
from packages.domain.points_rules import calculate_points_cost
assert calculate_points_cost("ai_video", is_member=False) == 4
assert calculate_points_cost("ai_video", is_member=True, member_type="monthly") == 2
assert calculate_points_cost("ai_video", is_member=False) == 0
assert calculate_points_cost("ai_video", is_member=True, member_type="monthly", duration_minutes=10) == 0
def test_insufficient_raises_402(self):
from app.api.routes.generation_preview import create_preview_generation_task
from app.schemas.generation_task import CreatePreviewGenerationTaskRequest
from fastapi import HTTPException
db = MagicMock()
cu = MagicMock()
cu.user.id = "u1"
cu.user.is_member = False
cu.user.member_type = None
req = CreatePreviewGenerationTaskRequest(template_id="t1", asset_ids=["a1"], preview_count=1)
with patch("packages.domain.points_service.PointsService") as MS:
svc = MagicMock()
svc.check_daily_free_clip.return_value = False
svc.deduct_points.return_value = {"success": False, "balance": 0}
MS.return_value = svc
with pytest.raises(HTTPException) as ei:
create_preview_generation_task(
request=req,
authenticated_user=cu,
db=db,
generation_task_repository=MagicMock(),
asset_repo=MagicMock(),
)
assert ei.value.status_code == 402
def test_decorator_attached(self):
def test_no_points_gate_decorator(self):
"""预览生成路由已移除 @points_gate。"""
from app.api.routes.generation_preview import create_preview_generation_task
assert hasattr(create_preview_generation_task, "__wrapped__"), "missing @points_gate"
# 移除装饰器后 __wrapped__ 不再存在
assert not hasattr(create_preview_generation_task, "__wrapped__")
def test_endpoint_does_not_deduct_points(self):
"""端点不再实例化 PointsService / 调用 deduct_points(直接走业务逻辑)。"""
import inspect
from app.api.routes.generation_preview import create_preview_generation_task
src = inspect.getsource(create_preview_generation_task)
assert "PointsService" not in src
assert "deduct_points" not in src
assert "calculate_points_cost" not in src
+18 -53
View File
@@ -1,63 +1,28 @@
"""视频生成 积分扣点单元测试 (#1895 P2 step 2.4)"""
"""智能混剪任务 — v1.6.2 起免费,不扣积分"""
from __future__ import annotations
from unittest.mock import MagicMock, patch
import pytest
import packages.middleware.points_gate as _pg_module
from unittest.mock import MagicMock
@pytest.fixture(autouse=True)
def _enable(monkeypatch):
monkeypatch.setattr(_pg_module, "_points_gate_enabled", lambda: True)
yield
class TestGenerationTasksPoints:
def test_ai_video_base_cost(self):
class TestGenerationTasksFree:
def test_ai_video_returns_zero_cost(self):
from packages.domain.points_rules import calculate_points_cost
assert calculate_points_cost("ai_video", is_member=False) == 4
assert calculate_points_cost("ai_video", is_member=True, member_type="monthly") == 2
assert calculate_points_cost("ai_video", is_member=False, duration_minutes=5) == 0
assert calculate_points_cost("ai_video", is_member=True, duration_minutes=10) == 0
def test_ai_video_quantity_scales(self):
from packages.domain.points_rules import calculate_points_cost
c1 = calculate_points_cost("ai_video", is_member=False, quantity=1)
c3 = calculate_points_cost("ai_video", is_member=False, quantity=3)
assert c3 > c1
def test_insufficient_raises_402(self):
from app.api.routes.generation_tasks import create_generation_task
from app.schemas.generation_task import CreateGenerationTaskRequest
from fastapi import HTTPException
db = MagicMock()
cu = MagicMock()
cu.user.id = "u1"
cu.user.is_member = False
cu.user.member_type = None
req = CreateGenerationTaskRequest(template_id="t1", asset_ids=["a1"], count=1)
with patch("packages.domain.points_service.PointsService") as MS:
svc = MagicMock()
svc.check_daily_free_clip.return_value = False
svc.deduct_points.return_value = {"success": False, "balance": 0}
MS.return_value = svc
with pytest.raises(HTTPException) as ei:
create_generation_task(
request=req,
authenticated_user=cu,
db=db,
generation_task_repository=MagicMock(),
project_repository=MagicMock(),
asset_library_repository=MagicMock(),
asset_repository=MagicMock(),
)
assert ei.value.status_code == 402
def test_decorator_attached(self):
def test_no_points_gate_decorator(self):
from app.api.routes.generation_tasks import create_generation_task
assert hasattr(create_generation_task, "__wrapped__"), "missing @points_gate"
assert not hasattr(create_generation_task, "__wrapped__")
def test_create_task_accepts_request_without_points_block(self):
"""路由函数签名不再做扣点,但参数 points_enabled/is_member/member_type 仍保留以兼容调用方。"""
import inspect
from app.api.routes.generation_tasks import create_generation_task
sig = inspect.signature(create_generation_task)
# 函数存在
assert callable(create_generation_task)
+60 -189
View File
@@ -1,15 +1,16 @@
"""lipsync 积分扣点单元测试 (#1895 P2 step 2.2)"""
"""lipsync 口型同步 — v1.6.2 起免费,不扣积分"""
from __future__ import annotations
import math
from unittest.mock import MagicMock
from types import SimpleNamespace
from unittest.mock import MagicMock, patch
import pytest
from fastapi import HTTPException
def _make_cu(user_id="user-1", is_member=False, member_type=None):
def _cu(user_id="u1", is_member=False, member_type=None):
cu = MagicMock()
cu.user.id = user_id
cu.user.is_member = is_member
@@ -17,99 +18,6 @@ def _make_cu(user_id="user-1", is_member=False, member_type=None):
return cu
class TestLipsyncDurationEstimate:
@pytest.mark.parametrize(
"text,expected",
[
("你好", 1.0),
("你" * 240, 1.0),
("你" * 241, 2.0),
("你" * 1000, 5.0),
],
)
def test_text_estimate(self, text, expected):
est = max(1.0, math.ceil(len(text) / 240))
assert est == expected
@pytest.mark.parametrize(
"seconds,expected",
[
(30, 1.0),
(60, 1.0),
(61, 2.0),
(120, 2.0),
(180, 3.0),
],
)
def test_audio_duration_estimate(self, seconds, expected):
est = max(1.0, math.ceil(seconds / 60.0))
assert est == expected
class TestLipsyncPointsDeduction:
def _deduct(self, text="你好", audio_duration=None, enabled=True, success=True, balance=100, **cu_kw):
from packages.domain.points_rules import calculate_points_cost
svc = MagicMock() if enabled else None
cu = _make_cu(**cu_kw)
if svc is None:
return 0, cu
if audio_duration and audio_duration > 0:
est = max(1.0, math.ceil(audio_duration / 60.0))
elif text:
est = max(1.0, math.ceil(len(text) / 240))
else:
est = 1.0
cost = calculate_points_cost(
"ai_digital_human",
is_member=getattr(cu.user, "is_member", False),
duration_minutes=est,
member_type=getattr(cu.user, "member_type", None),
)
svc.deduct_points.return_value = {"success": success, "balance": balance}
res = svc.deduct_points(cu.user.id, cost, "ai_digital_human", MagicMock())
if not res["success"]:
raise HTTPException(status_code=402, detail={"code": "INSUFFICIENT_POINTS"})
return cost, cu
def test_disabled(self):
cost, _ = self._deduct(enabled=False)
assert cost == 0
def test_short_text_min_1min(self):
cost, _ = self._deduct(text="你好")
assert cost >= 15 # 15 base/min for free user × 1.15
def test_audio_duration_used(self):
cost_long, _ = self._deduct(audio_duration=180) # 3min
cost_short, _ = self._deduct(audio_duration=30) # 1min
assert cost_long > cost_short
def test_insufficient_402(self):
with pytest.raises(HTTPException) as ei:
self._deduct(text="你" * 500, success=False, balance=0)
assert ei.value.status_code == 402
def test_member_cheaper(self):
cm, _ = self._deduct(text="你" * 500, is_member=True, member_type="yearly")
cf, _ = self._deduct(text="你" * 500, is_member=False)
assert cm < cf
# ── 直接调用 create_lipsync_job 覆盖扣点/402/退费分支 ──
import importlib
from types import SimpleNamespace
from unittest.mock import patch
import packages.middleware.points_gate as _pg_module
# Ensure the enable-gate fixture for lipsync also covers @points_gate (if any)
# (the existing autouse _enable is below; importlib to avoid duplicate)
def _do_enable(monkeypatch):
monkeypatch.setattr(_pg_module, "_points_gate_enabled", lambda: True)
def _body(**kw):
b = MagicMock()
defaults = dict(
@@ -130,113 +38,76 @@ def _body(**kw):
return b
def _cu(user_id="u1", is_member=False, member_type=None):
cu = MagicMock()
cu.user.id = user_id
cu.user.is_member = is_member
cu.user.member_type = member_type
return cu
class TestLipsyncFree:
"""lipsync 已移除手动扣点,业务异常仍按原状态码抛出。"""
def test_ai_digital_human_returns_zero_cost(self):
from packages.domain.points_rules import calculate_points_cost
assert calculate_points_cost("ai_digital_human", is_member=False, duration_minutes=1) == 0
assert calculate_points_cost("ai_digital_human", is_member=True, duration_minutes=10) == 0
def test_module_has_no_points_imports(self):
import inspect
from app.api.routes import lipsync as mod
src = inspect.getsource(mod)
assert "PointsService" not in src
assert "calculate_points_cost" not in src
assert "_points_deducted" not in src
assert "settings" not in src # settings was only used for points_enabled
def test_docstring_at_top_of_create_lipsync_job(self):
"""扣点块删除后,docstring 必须在函数体第一行(防止函数体中段 docstring 丢失)。"""
import ast
import inspect
class TestLipsyncEndpointPoints:
def test_insufficient_raises_402(self, monkeypatch):
_do_enable(monkeypatch)
from app.api.routes.lipsync import create_lipsync_job
db = MagicMock()
svc = MagicMock()
ps = MagicMock()
ps.deduct_points.return_value = {"success": False, "balance": 0}
fs = MagicMock(points_enabled=True)
with (
patch("app.api.routes.lipsync.PointsService", return_value=ps),
patch("app.api.routes.lipsync.settings", fs),
):
with pytest.raises(HTTPException) as ei:
create_lipsync_job(body=_body(script_text="你" * 500), current_user=_cu(), db=db, svc=svc)
assert ei.value.status_code == 402
src = inspect.getsource(create_lipsync_job)
tree = ast.parse(src)
fn = tree.body[0]
# docstring 应为函数体第一条语句
assert (
isinstance(fn.body[0], ast.Expr)
and isinstance(fn.body[0].value, ast.Constant)
and isinstance(fn.body[0].value.value, str)
), "create_lipsync_job docstring 不在函数体开头"
def test_value_error_refunds(self, monkeypatch):
_do_enable(monkeypatch)
def test_docstring_at_top_of_preview_tts(self):
import ast
import inspect
from app.api.routes.lipsync import preview_tts
src = inspect.getsource(preview_tts)
tree = ast.parse(src)
fn = tree.body[0]
assert (
isinstance(fn.body[0], ast.Expr)
and isinstance(fn.body[0].value, ast.Constant)
and isinstance(fn.body[0].value.value, str)
), "preview_tts docstring 不在函数体开头"
def test_value_error_still_raises_400(self):
"""业务异常仍抛 400(不再退费)。"""
from app.api.routes.lipsync import create_lipsync_job
db = MagicMock()
svc = MagicMock()
svc.create_job.side_effect = ValueError("bad input")
ps = MagicMock()
ps.deduct_points.return_value = {"success": True, "balance": 99}
fs = MagicMock(points_enabled=True)
with (
patch("app.api.routes.lipsync.PointsService", return_value=ps),
patch("app.api.routes.lipsync.settings", fs),
):
with pytest.raises(HTTPException) as ei:
create_lipsync_job(body=_body(), current_user=_cu(), db=db, svc=svc)
assert ei.value.status_code == 400
assert ps.refund_points.called
with pytest.raises(HTTPException) as ei:
create_lipsync_job(body=_body(), current_user=_cu(), db=db, svc=svc)
assert ei.value.status_code == 400
def test_mediakit_error_refunds(self, monkeypatch):
_do_enable(monkeypatch)
def test_success_returns_job(self):
from app.api.routes.lipsync import create_lipsync_job
from app.services.mediakit_client import MediaKitError
db = MagicMock()
svc = MagicMock()
svc.create_job.side_effect = MediaKitError("fail", code="InvalidInput")
ps = MagicMock()
ps.deduct_points.return_value = {"success": True, "balance": 99}
fs = MagicMock(points_enabled=True)
with (
patch("app.api.routes.lipsync.PointsService", return_value=ps),
patch("app.api.routes.lipsync.settings", fs),
):
with pytest.raises(HTTPException) as ei:
create_lipsync_job(body=_body(), current_user=_cu(), db=db, svc=svc)
assert ei.value.status_code == 400
assert ps.refund_points.called
def test_generic_exception_refunds(self, monkeypatch):
_do_enable(monkeypatch)
from app.api.routes.lipsync import create_lipsync_job
db = MagicMock()
svc = MagicMock()
svc.create_job.side_effect = RuntimeError("boom")
ps = MagicMock()
ps.deduct_points.return_value = {"success": True, "balance": 99}
fs = MagicMock(points_enabled=True)
with (
patch("app.api.routes.lipsync.PointsService", return_value=ps),
patch("app.api.routes.lipsync.settings", fs),
):
with pytest.raises(HTTPException) as ei:
create_lipsync_job(body=_body(), current_user=_cu(), db=db, svc=svc)
assert ei.value.status_code == 400
assert ps.refund_points.called
def test_audio_duration_estimation(self, monkeypatch):
_do_enable(monkeypatch)
from app.api.routes.lipsync import create_lipsync_job
from packages.domain.points_rules import calculate_points_cost
db = MagicMock()
svc = MagicMock()
job = SimpleNamespace(id="job-1", status="queued")
svc.create_job.return_value = job
ps = MagicMock()
ps.deduct_points.return_value = {"success": True, "balance": 99}
fs = MagicMock(points_enabled=True)
with (
patch("app.api.routes.lipsync.PointsService", return_value=ps),
patch("app.api.routes.lipsync.settings", fs),
):
create_lipsync_job(
body=_body(audio_url="http://x/a.mp3", audio_duration=180, script_text=None),
current_user=_cu(),
db=db,
svc=svc,
)
# 180 seconds -> 3 minutes; assert deduct called with cost >= 15*3
args = ps.deduct_points.call_args[0]
assert args[1] >= calculate_points_cost("ai_digital_human", is_member=False, duration_minutes=3)
# 不再依赖 settings/PointsService patch
result = create_lipsync_job(body=_body(), current_user=_cu(), db=db, svc=svc)
assert result is job
+20 -13
View File
@@ -44,7 +44,7 @@ class TestExtractKwargs:
class TestPointsGateSync:
def test_no_user_raises_401(self):
@points_gate("ai_rewrite")
@points_gate("voice_clone_synth")
def my_func(db=None):
return "ok"
@@ -53,7 +53,7 @@ class TestPointsGateSync:
assert exc_info.value.status_code == 401
def test_no_db_raises_500(self):
@points_gate("ai_rewrite")
@points_gate("voice_clone_synth")
def my_func(current_user=None, db=None):
return "ok"
@@ -85,7 +85,14 @@ class TestPointsGateExecuteLogic:
with patch("packages.domain.points_service.PointsService", return_value=mock_svc):
with pytest.raises(HTTPException) as exc_info:
_execute_with_gate(
my_func, (), {"current_user": cu, "db": db}, "ai_rewrite", None, None, None, is_async=False
my_func,
(),
{"current_user": cu, "db": db},
"voice_clone_synth",
per_unit=10,
unit_field=None,
quantity_field=None,
is_async=False,
)
assert exc_info.value.status_code == 402
@@ -115,7 +122,7 @@ class TestPointsGateExecuteLogic:
my_func,
(),
{"current_user": cu, "db": db},
"ai_rewrite",
"voice_clone_synth",
per_unit=10,
unit_field=None,
quantity_field=None,
@@ -139,7 +146,7 @@ class TestPointsGateExecuteLogic:
failing_func,
(),
{"current_user": cu, "db": db},
"ai_rewrite",
"voice_clone_synth",
per_unit=10,
unit_field=None,
quantity_field=None,
@@ -147,21 +154,21 @@ class TestPointsGateExecuteLogic:
)
mock_svc.refund_points.assert_called_once()
def test_ai_video_free_quota_for_free_user(self):
def test_retired_scene_passes_through_with_zero_deduction(self):
"""已下线场景(如 ai_video/ai_rewrite/ai_voice 等)直接放行,不扣积分。"""
cu = _make_current_user(is_member=False)
db = MagicMock()
mock_svc = MagicMock()
mock_svc.check_daily_free_clip.return_value = True
mock_svc.record_daily_free_clip.return_value = True
def my_func(current_user=cu, db=db, **kwargs):
return kwargs.get("_is_free_quota", False)
return kwargs.get("_points_deducted", -1)
with patch("packages.domain.points_service.PointsService", return_value=mock_svc):
# 不应调用 PointsService
with patch("packages.domain.points_service.PointsService") as mock_svc_cls:
result = _execute_with_gate(
my_func, (), {"current_user": cu, "db": db}, "ai_video", None, None, None, is_async=False
)
assert result is True
assert result == 0
mock_svc_cls.assert_not_called()
class TestPointsGateAsync:
@@ -172,7 +179,7 @@ class TestPointsGateAsync:
mock_svc = MagicMock()
mock_svc.deduct_points.return_value = {"success": True, "balance": 90, "transaction_id": "t1"}
@points_gate("ai_rewrite", per_unit=5)
@points_gate("voice_clone_synth", per_unit=5)
async def my_async_func(current_user=None, db=None, **kwargs):
return kwargs.get("_points_deducted", 0)
+34 -25
View File
@@ -2,7 +2,7 @@
覆盖:
- P0-1: POST /points/recharge 返回 pay_params / points_amount / expire_at
- P0-2: POST /points/check 未知 scene_key 返回 400(非 500)
- P0-2: POST /points/check 任意 scene_key 均可查询(已下线场景返回 cost=0,不报错)
- P1-3: GET /points/rules 返回 description 字段
- P1-6: GET /subscription/plans 返回档位列表
- P1-7: multiplier 实际扣费一致(calculate_points_cost 统一应用)
@@ -76,39 +76,40 @@ class TestRechargeOrderResponse:
assert exc.value.status_code == 400
# ── P0-2: check unknown scene → 400 ───────────────────────────────────
# ── P0-2: check 任意 scene_key(已下线场景返回 cost=0) ──────────────────
class TestCheckPointsUnknownScene:
def test_unknown_scene_returns_400_not_500(self):
"""未知 scene_key(如 ai_script)应返回 400 UNKNOWN_SCENE,而不是 500。"""
def test_unknown_scene_returns_zero_cost_not_error(self):
"""任意 scene_key 均可查询,已下线/未知场景返回 cost=0(免费放行)。"""
from app.api.routes.points import check_points
from app.schemas.points import PointsCheckRequest
svc = MagicMock()
svc.get_or_create_account.return_value = {"balance": 0}
db = MagicMock()
cu = _make_cu()
body = PointsCheckRequest(scene_key="ai_script", quantity=1)
with pytest.raises(HTTPException) as exc:
check_points(body=body, current_user=cu, db=db)
assert exc.value.status_code == 400
detail = exc.value.detail
assert detail["code"] == "UNKNOWN_SCENE"
assert "ai_script" in detail["message"]
assert "ai_voice" in detail["valid_scenes"]
assert "ai_title" in detail["valid_scenes"]
with (
patch("app.api.routes.points._credits_enabled", return_value=True),
patch("app.api.routes.points._get_service", return_value=svc),
):
for scene in ["ai_script", "ai_voice", "ai_video", "ai_title", "ai_cover", "nonexistent"]:
body = PointsCheckRequest(scene_key=scene, quantity=1)
resp = check_points(body=body, current_user=cu, db=db)
assert resp.required_points == 0, f"{scene} should be free"
assert resp.allowed is True
def test_known_scene_still_works(self):
"""合法 scene_key 正常返回,免费用户 ai_voice 1 分钟 = 2 积分。"""
def test_voice_clone_synth_still_charges(self):
"""合法付费场景 voice_clone_synth 正常计费:免费用户 1 分钟 = ceil(1*1.15)=2 积分。"""
from app.api.routes.points import check_points
from app.schemas.points import PointsCheckRequest
svc = MagicMock()
svc.check_daily_free_clip.return_value = False
svc.get_or_create_account.return_value = {"balance": 50}
db = MagicMock()
cu = _make_cu()
body = PointsCheckRequest(scene_key="ai_voice", quantity=1, duration_minutes=1)
body = PointsCheckRequest(scene_key="voice_clone_synth", quantity=1, duration_minutes=1)
with (
patch("app.api.routes.points._credits_enabled", return_value=True),
@@ -128,7 +129,9 @@ class TestPointsRulesDescription:
from app.api.routes.points import get_rules
resp = get_rules(_current_user=_make_cu())
assert len(resp.rules) >= 9
# 场景列表包含 voice_clone_train / voice_clone_synth / viral_video(爆款视频为动态定价)
keys = {r.scene_key for r in resp.rules}
assert {"voice_clone_train", "voice_clone_synth", "viral_video"}.issubset(keys)
for rule in resp.rules:
assert rule.description, f"{rule.scene_key} missing description"
assert isinstance(rule.description, str)
@@ -202,11 +205,18 @@ class TestSubscriptionPlans:
class TestMultiplierConsistency:
def test_free_user_ai_title_costs_2(self):
"""ai_title base=1,免费用户 ceil(1*1.15)=2。"""
def test_free_user_voice_clone_synth_1min_costs_2(self):
"""voice_clone_synth base=1,免费用户 ceil(1*1.15)=2。"""
from packages.domain.points_rules import calculate_points_cost
assert calculate_points_cost("ai_title", is_member=False, quantity=1) == 2
assert calculate_points_cost("voice_clone_synth", is_member=False, duration_minutes=1) == 2
def test_retired_scenes_return_zero(self):
"""已下线场景(ai_voice/ai_title/ai_cover/ai_rewrite 等)calculate_points_cost 统一返回 0。"""
from packages.domain.points_rules import calculate_points_cost
for scene in ["ai_voice", "ai_title", "ai_cover", "ai_rewrite", "ai_video", "ai_digital_human"]:
assert calculate_points_cost(scene, is_member=False, quantity=1) == 0
def test_check_matches_direct_calculation(self):
"""check 端点 required_points 与 calculate_points_cost 结果一致。"""
@@ -216,15 +226,14 @@ class TestMultiplierConsistency:
from packages.domain.points_rules import calculate_points_cost
svc = MagicMock()
svc.check_daily_free_clip.return_value = False
svc.get_or_create_account.return_value = {"balance": 999}
db = MagicMock()
cu = _make_cu()
with patch("app.api.routes.points._credits_enabled", return_value=True):
for scene in ["ai_voice", "ai_title", "ai_cover", "ai_rewrite"]:
body = PointsCheckRequest(scene_key=scene, quantity=1)
for scene in ["voice_clone_synth", "voice_clone_train", "ai_voice", "ai_video", "ai_title"]:
body = PointsCheckRequest(scene_key=scene, quantity=1, duration_minutes=1)
with patch("app.api.routes.points._get_service", return_value=svc):
resp = check_points(body=body, current_user=cu, db=db)
expected = calculate_points_cost(scene, is_member=False, quantity=1)
expected = calculate_points_cost(scene, is_member=False, quantity=1, duration_minutes=1)
assert resp.required_points == expected, f"{scene}: got {resp.required_points}, expected {expected}"
+455 -62
View File
@@ -1,4 +1,4 @@
"""积分消耗规则单元测试 (#1895)"""
"""积分消耗规则单元测试 (#1895) — v1.6.2: 仅保留 voice_clone 相关"""
from __future__ import annotations
@@ -7,7 +7,6 @@ import math
import pytest
from packages.domain.points_rules import (
DAILY_FREE_CLIP_LIMIT,
FREE_USER_MULTIPLIER,
MEMBER_DISCOUNT,
MEMBERSHIP_PRICES,
@@ -20,8 +19,22 @@ from packages.domain.points_rules import (
class TestPointsScenesConfig:
"""场景配置完整性"""
def test_all_nine_scenes_defined(self):
assert len(POINTS_SCENES) == 9
def test_registered_scenes_include_voice_clone_and_viral_video(self):
"""场景配置:包含声音克隆(训练/合成)+ 爆款视频(动态定价)。"""
assert {"voice_clone_train", "voice_clone_synth", "viral_video"}.issubset(set(POINTS_SCENES.keys()))
def test_viral_video_scene_is_dynamic_with_zero_base(self):
"""viral_video 必须注册但 base_points=0 且 dynamic=True,不使用 @points_gate。"""
vv = POINTS_SCENES["viral_video"]
assert vv["base_points"] == 0
assert vv["dynamic"] is True
assert vv["unit"] == "次"
assert vv["name"] == "爆款视频"
def test_voice_clone_scenes_defined(self):
# 保留声音克隆两个场景
assert "voice_clone_train" in POINTS_SCENES
assert "voice_clone_synth" in POINTS_SCENES
def test_required_keys_present(self):
for key, scene in POINTS_SCENES.items():
@@ -32,8 +45,14 @@ class TestPointsScenesConfig:
def test_voice_clone_train_is_free(self):
assert POINTS_SCENES["voice_clone_train"]["base_points"] == 0
def test_ai_video_has_extra_per_30s(self):
assert POINTS_SCENES["ai_video"]["extra_per_30s"] == 1
def test_voice_clone_synth_is_per_minute(self):
assert POINTS_SCENES["voice_clone_synth"]["base_points"] == 1
assert POINTS_SCENES["voice_clone_synth"]["unit"] == "分钟"
def test_calculate_points_cost_returns_zero_for_dynamic_viral_video(self):
"""calculate_points_cost 对动态场景 viral_video 必须返回 0(由业务侧手动计算)。"""
assert calculate_points_cost("viral_video", is_member=False) == 0.0
assert calculate_points_cost("viral_video", is_member=True, member_type="monthly") == 0.0
class TestPointsPackages:
@@ -52,43 +71,23 @@ class TestMembershipPrices:
assert MEMBERSHIP_PRICES["yearly"]["price_cents"] == 15900
class TestDailyFreeLimit:
def test_limit_is_2(self):
assert DAILY_FREE_CLIP_LIMIT == 2
class TestCalculatePointsCost:
"""核心计费逻辑"""
# ── 按次计费 ──
# ── 声音克隆合成(按时长计费) ──
def test_per_time_base_cost(self):
# ai_rewrite: 1积分/次,免费用户 ceil(1 * 1.15) = 2
cost = calculate_points_cost("ai_rewrite", is_member=False, quantity=1)
def test_voice_clone_synth_base(self):
cost = calculate_points_cost("voice_clone_synth", is_member=False, duration_minutes=3)
assert cost == math.ceil(3 * FREE_USER_MULTIPLIER)
def test_voice_clone_synth_rounds_up(self):
cost = calculate_points_cost("voice_clone_synth", is_member=False, duration_minutes=2.3)
assert cost == math.ceil(3 * FREE_USER_MULTIPLIER)
def test_voice_clone_synth_minimum_1_minute(self):
cost = calculate_points_cost("voice_clone_synth", is_member=False, duration_minutes=0.1)
assert cost == math.ceil(1 * FREE_USER_MULTIPLIER)
def test_per_time_multiple(self):
# ai_cover: 1积分/张,3张 → base=3, free: ceil(3*1.15)=4
cost = calculate_points_cost("ai_cover", is_member=False, quantity=3)
assert cost == math.ceil(3 * FREE_USER_MULTIPLIER)
# ── 按时长计费 ──
def test_per_minute_base(self):
# ai_voice: 1积分/分钟,3分钟 → base=3, free: ceil(3*1.15)=4
cost = calculate_points_cost("ai_voice", is_member=False, duration_minutes=3)
assert cost == math.ceil(3 * FREE_USER_MULTIPLIER)
def test_per_minute_rounds_up(self):
# 2.3分钟 → ceil(2.3)=3分钟 → base=3
cost = calculate_points_cost("ai_voice", is_member=False, duration_minutes=2.3)
assert cost == math.ceil(3 * FREE_USER_MULTIPLIER)
def test_digital_human_expensive(self):
# ai_digital_human: 15积分/分钟,1分钟 → base=15, free: ceil(15*1.15)=18
cost = calculate_points_cost("ai_digital_human", is_member=False, duration_minutes=1)
assert cost == 18
# ── 免费场景 ──
def test_voice_clone_train_free(self):
@@ -99,42 +98,436 @@ class TestCalculatePointsCost:
cost = calculate_points_cost("voice_clone_train", is_member=True)
assert cost == 0
# ── 混剪额外逻辑 ──
def test_ai_video_short_no_extra(self):
# 20s (0.33min) ≤ 30s,不额外加积分,base=3, free: ceil(3*1.15)=4
cost = calculate_points_cost("ai_video", is_member=False, quantity=1, duration_minutes=0.33)
assert cost == math.ceil(3 * FREE_USER_MULTIPLIER)
def test_ai_video_long_extra_charge(self):
# 80s → base=3 + extra ceil((80-30)/30)=2 → total_base=5, free: ceil(5*1.15)=6
cost = calculate_points_cost("ai_video", is_member=False, quantity=1, duration_minutes=80 / 60)
assert cost == math.ceil(5 * FREE_USER_MULTIPLIER)
# ── 会员折扣 ──
def test_monthly_member_discount(self):
# ai_voice 1分钟 base=1, 月卡0.9 → floor(1*0.9)=1 → max(1,1)=1
cost = calculate_points_cost("ai_voice", is_member=True, duration_minutes=1, member_type="monthly")
assert cost == max(1, math.floor(1 * 0.9))
cost = calculate_points_cost("voice_clone_synth", is_member=True, duration_minutes=1, member_type="monthly")
assert cost == max(1, math.floor(1 * MEMBER_DISCOUNT["monthly"]))
def test_yearly_member_deep_discount(self):
# ai_digital_human 2分钟 base=30, 年卡0.8 → floor(30*0.8)=24
cost = calculate_points_cost(
"ai_digital_human",
"voice_clone_synth",
is_member=True,
duration_minutes=2,
member_type="yearly",
)
assert cost == max(1, math.floor(30 * 0.8))
assert cost == max(1, math.floor(2 * MEMBER_DISCOUNT["yearly"]))
def test_member_without_type_no_discount(self):
# is_member=True 但没传 member_type → 不按会员折扣
cost = calculate_points_cost("ai_voice", is_member=True, duration_minutes=1)
assert cost == 1 # base=1, no discount applied
cost = calculate_points_cost("voice_clone_synth", is_member=True, duration_minutes=1)
assert cost == 1
# ── 异常 ──
# ── 已下线/未知场景(向后兼容:返回 0) ──
def test_unknown_scene_raises(self):
with pytest.raises(ValueError, match="Unknown points scene"):
calculate_points_cost("nonexistent_scene", is_member=False)
@pytest.mark.parametrize(
"scene",
[
"ai_voice",
"ai_video",
"ai_digital_human",
"ai_rewrite",
"ai_cover",
"ai_title",
"douyin_extract",
"nonexistent",
],
)
def test_retired_scenes_return_zero(self, scene):
assert calculate_points_cost(scene, is_member=False) == 0
assert calculate_points_cost(scene, is_member=True, duration_minutes=10) == 0
# ============ 爆款视频动态定价 (#2151) ============
class TestResolveVideoDimensions:
"""resolve_video_dimensions(): 分辨率别名、比例、默认兜底。"""
def test_1080p_16_9(self):
"""1080p + 16:9 → w=1920, h=1080。"""
from packages.domain.points_rules import resolve_video_dimensions
w, h = resolve_video_dimensions("1080p", "16:9")
assert (w, h) == (1920, 1080)
def test_480p_16_9(self):
"""480p + 16:9 → 854×480(ceil(480*16/9)=854,偶对齐)。"""
from packages.domain.points_rules import resolve_video_dimensions
w, h = resolve_video_dimensions("480p", "16:9")
assert (w, h) == (854, 480)
def test_720p_1_1(self):
"""1:1 正方形 → w == h。"""
from packages.domain.points_rules import resolve_video_dimensions
w, h = resolve_video_dimensions("720p", "1:1")
assert (w, h) == (720, 720)
def test_1080p_1_1(self):
from packages.domain.points_rules import resolve_video_dimensions
w, h = resolve_video_dimensions("1080p", "1:1")
assert (w, h) == (1080, 1080)
def test_resolution_aliases(self):
"""中文/英文别名应正确映射到对应高度。"""
from packages.domain.points_rules import resolve_video_dimensions
cases = [
("普清", 480),
("sd", 480),
("low", 480),
("default", 480),
("高清", 720),
("medium", 720),
("hd", 720),
("超清", 1080),
("fhd", 1080),
("ultra", 1080),
("全能", 1080),
("high", 1080),
]
for alias, expected_h in cases:
_, h = resolve_video_dimensions(alias, "1:1")
assert h == expected_h, f"{alias} -> h={h}, expected {expected_h}"
def test_unknown_resolution_falls_back_to_720p(self):
"""未知分辨率字符串兜底到 720p。"""
from packages.domain.points_rules import resolve_video_dimensions
w, h = resolve_video_dimensions("2160p", "1:1")
assert h == 720
assert w == 720
def test_empty_resolution_defaults_to_720p_9_16(self):
"""空 resolution + 空 ratio → 默认 720p + 9:16 竖屏 (720×1280)。"""
from packages.domain.points_rules import resolve_video_dimensions
w, h = resolve_video_dimensions("", "")
assert (w, h) == (720, 1280)
def test_none_resolution_default_ratio(self):
"""None resolution + None ratio → 720p + 9:16 竖屏默认。"""
from packages.domain.points_rules import resolve_video_dimensions
w, h = resolve_video_dimensions(None, None)
assert (w, h) == (720, 1280)
def test_720p_9_16_portrait(self):
"""720p + 9:16 竖屏 → 短边是 width=720,height=1280(v10实测)。"""
from packages.domain.points_rules import resolve_video_dimensions
w, h = resolve_video_dimensions("720p", "9:16")
assert (w, h) == (720, 1280)
def test_1080p_9_16_portrait(self):
"""1080p + 9:16 竖屏 → 1080×1920。"""
from packages.domain.points_rules import resolve_video_dimensions
w, h = resolve_video_dimensions("1080p", "9:16")
assert (w, h) == (1080, 1920)
def test_480p_9_16_portrait(self):
"""480p + 9:16 竖屏 → 480×854。"""
from packages.domain.points_rules import resolve_video_dimensions
w, h = resolve_video_dimensions("480p", "9:16")
assert (w, h) == (480, 854)
def test_all_dimensions_even(self):
"""所有返回尺寸都应是偶数(视频编码要求)。"""
from packages.domain.points_rules import resolve_video_dimensions
for res in ("480p", "720p", "1080p", "普清", "高清", "超清"):
for ratio in ("16:9", "9:16", "1:1"):
w, h = resolve_video_dimensions(res, ratio)
assert w % 2 == 0 and h % 2 == 0, f"{res}/{ratio} -> ({w},{h}) not even"
def test_whitespace_resolution_case_insensitive(self):
"""前后空格 + 大写应被规范化处理。"""
from packages.domain.points_rules import resolve_video_dimensions
w, h = resolve_video_dimensions(" 1080P ", " 16:9 ")
assert (w, h) == (1920, 1080)
class TestMatchModelPrefix:
"""_match_model_prefix() 前缀匹配 + 兜底。"""
def test_seedance_2_5_exact(self):
from packages.domain.points_rules import _match_model_prefix
assert _match_model_prefix("seedance-2.5") == "seedance-2.5"
def test_seedance_2_5_with_variant(self):
"""带后缀版本号(如 seedance-2.5-pro)仍匹配 seedance-2.5。"""
from packages.domain.points_rules import _match_model_prefix
assert _match_model_prefix("seedance-2.5-pro") == "seedance-2.5"
def test_seedance_2_0_exact(self):
from packages.domain.points_rules import _match_model_prefix
assert _match_model_prefix("seedance-2.0") == "seedance-2.0"
def test_seedance_2_0_with_variant(self):
from packages.domain.points_rules import _match_model_prefix
assert _match_model_prefix("seedance-2.0-lite") == "seedance-2.0"
def test_unknown_model_falls_back_to_2_5(self):
"""未知模型前缀兜底 seedance-2.5。"""
from packages.domain.points_rules import _match_model_prefix
assert _match_model_prefix("kling-v1") == "seedance-2.5"
assert _match_model_prefix("") == "seedance-2.5"
assert _match_model_prefix(None) == "seedance-2.5"
def test_case_insensitive(self):
from packages.domain.points_rules import _match_model_prefix
assert _match_model_prefix("SEEDANCE-2.0") == "seedance-2.0"
class TestInferResolutionKey:
"""_infer_resolution_key(w, h): 按短边 1000+/650-999/<650 三档。"""
def test_short_side_ge_1000_is_1080p(self):
from packages.domain.points_rules import _infer_resolution_key
assert _infer_resolution_key(1920, 1080) == "1080p" # 横屏
assert _infer_resolution_key(1080, 1920) == "1080p" # 竖屏
assert _infer_resolution_key(1080, 1080) == "1080p" # 方屏
def test_short_side_650_to_999_is_720p(self):
from packages.domain.points_rules import _infer_resolution_key
assert _infer_resolution_key(1280, 720) == "720p"
assert _infer_resolution_key(720, 1280) == "720p"
assert _infer_resolution_key(720, 720) == "720p"
def test_short_side_lt_650_is_480p(self):
from packages.domain.points_rules import _infer_resolution_key
assert _infer_resolution_key(854, 480) == "480p"
assert _infer_resolution_key(480, 854) == "480p"
assert _infer_resolution_key(480, 480) == "480p"
# 极小值兜底
assert _infer_resolution_key(1, 1) == "480p"
def test_portrait_1280_height_is_720p_short_side(self):
"""竖屏 720×1280 短边=720,应识别为 720p 而非 1080p(老bug回归)。"""
from packages.domain.points_rules import _infer_resolution_key
assert _infer_resolution_key(720, 1280) == "720p"
class TestCalculateViralVideoCredits:
"""calculate_viral_video_credits():爆款视频动态定价核心函数。"""
def test_default_args_returns_float(self):
"""默认参数返回 float。"""
from packages.domain.points_rules import calculate_viral_video_credits
credits = calculate_viral_video_credits(15, 1280, 720)
assert isinstance(credits, float)
def test_return_is_rounded_to_two_decimals(self):
"""round(..., 2) 后值本身就是两位小数(再 round 不变化)。"""
from packages.domain.points_rules import calculate_viral_video_credits
for dur, w, h in [(15, 1280, 720), (5, 854, 480), (30, 1920, 1080), (10, 720, 720)]:
credits = calculate_viral_video_credits(dur, w, h)
assert round(credits, 2) == credits
def test_has_video_input_uses_lower_price(self):
"""has_video_input=True 时使用参考视频价格(有视频输入便宜)。"""
from packages.domain.points_rules import calculate_viral_video_credits
no_input = calculate_viral_video_credits(15, 1280, 720, model="seedance-2.5", has_video_input=False)
with_input = calculate_viral_video_credits(15, 1280, 720, model="seedance-2.5", has_video_input=True)
assert with_input < no_input
def test_unknown_model_falls_back_to_seedance_2_5(self):
"""未知 model 前缀兜底到 seedance-2.5 价格,与默认等价。"""
from packages.domain.points_rules import calculate_viral_video_credits
unknown = calculate_viral_video_credits(15, 1280, 720, model="unknown-model")
default = calculate_viral_video_credits(15, 1280, 720, model="seedance-2.5")
assert unknown == default
def test_actual_tokens_overrides_calculation(self):
"""传入 actual_tokens>0 时用它替代公式计算的 tokens。"""
from packages.domain.points_rules import (
VIRAL_VIDEO_FIXED_COST,
VIRAL_VIDEO_MODEL_PRICES,
VIRAL_VIDEO_PROFIT_MULTIPLIER,
calculate_viral_video_credits,
)
price = VIRAL_VIDEO_MODEL_PRICES[("seedance-2.5", "720p", False)]
actual_tokens = 2_000_000
expected = round(
(actual_tokens / 1_000_000 * price + VIRAL_VIDEO_FIXED_COST) * VIRAL_VIDEO_PROFIT_MULTIPLIER, 2
)
credits = calculate_viral_video_credits(15, 1280, 720, actual_tokens=actual_tokens)
assert credits == expected
def test_zero_duration_width_height_defensive_max1(self):
"""duration/width/height 为 0/None 时 max(1,...) 防御,结果>0。"""
from packages.domain.points_rules import calculate_viral_video_credits
c_zero = calculate_viral_video_credits(0, 0, 0)
assert c_zero > 0
c_none = calculate_viral_video_credits(None, None, None)
assert c_none > 0
c_one = calculate_viral_video_credits(1, 1, 1)
assert c_none == c_one
def test_non_default_fps_affects_tokens(self):
"""fps 非默认值(30) 应比默认(24) 积分高。"""
from packages.domain.points_rules import calculate_viral_video_credits
c24 = calculate_viral_video_credits(15, 1280, 720, fps=24)
c30 = calculate_viral_video_credits(15, 1280, 720, fps=30)
assert c30 > c24
def test_seedance_2_0_priced_lower_than_2_5_at_1080p(self):
"""seedance-2.0 在 1080p 无视频输入时定价低于 seedance-2.5。"""
from packages.domain.points_rules import calculate_viral_video_credits
c20 = calculate_viral_video_credits(15, 1920, 1080, model="seedance-2.0", has_video_input=False)
c25 = calculate_viral_video_credits(15, 1920, 1080, model="seedance-2.5", has_video_input=False)
assert c20 < c25
def test_formula_includes_fixed_cost_and_multiplier(self):
"""手算公式结果应与函数返回一致(固定成本 + 利润系数)。"""
from packages.domain.points_rules import (
VIRAL_VIDEO_FIXED_COST,
VIRAL_VIDEO_FPS,
VIRAL_VIDEO_MODEL_PRICES,
VIRAL_VIDEO_PROFIT_MULTIPLIER,
calculate_viral_video_credits,
)
dur, w, h = 10, 1280, 720
price = VIRAL_VIDEO_MODEL_PRICES[("seedance-2.5", "720p", False)]
tokens = dur * w * h * VIRAL_VIDEO_FPS / 1024.0
expected = round((tokens / 1_000_000 * price + VIRAL_VIDEO_FIXED_COST) * VIRAL_VIDEO_PROFIT_MULTIPLIER, 2)
assert calculate_viral_video_credits(dur, w, h) == expected
def test_seedance_2_0_with_video_input_falls_back_to_seedance_2_5_price(self):
"""seedance-2.0 + has_video_input=True 组合不在价格表,走 line 111 fallback 到 seedance-2.5 的 720p False 价格。"""
from packages.domain.points_rules import (
VIRAL_VIDEO_FIXED_COST,
VIRAL_VIDEO_FPS,
VIRAL_VIDEO_MODEL_PRICES,
VIRAL_VIDEO_PROFIT_MULTIPLIER,
calculate_viral_video_credits,
)
dur, w, h = 10, 1280, 720
# 兜底价格 = seedance-2.5/720p/False = 70.0
price = VIRAL_VIDEO_MODEL_PRICES[("seedance-2.5", "720p", False)]
assert price == 70.0
tokens = dur * w * h * VIRAL_VIDEO_FPS / 1024.0
expected = round((tokens / 1_000_000 * price + VIRAL_VIDEO_FIXED_COST) * VIRAL_VIDEO_PROFIT_MULTIPLIER, 2)
credits = calculate_viral_video_credits(dur, w, h, model="seedance-2.0", has_video_input=True)
assert credits == expected
def test_fps_zero_or_none_falls_back_to_default(self):
"""fps=0/None 时 int(fps or 24) 兜底到默认 24,结果与 fps=24 一致。"""
from packages.domain.points_rules import calculate_viral_video_credits
c_default = calculate_viral_video_credits(10, 1280, 720, fps=24)
c_zero = calculate_viral_video_credits(10, 1280, 720, fps=0)
c_none = calculate_viral_video_credits(10, 1280, 720, fps=None)
assert c_zero == c_default
assert c_none == c_default
# ──────── P0 计费回归:短边规则 + 价格精确断言 ────────
def test_15s_720p_portrait_is_29_68(self):
"""P0 回归:15s/720p/9:16 竖屏 (720×1280) 必须 =29.68 积分。"""
from packages.domain.points_rules import (
calculate_viral_video_credits,
resolve_video_dimensions,
)
w, h = resolve_video_dimensions("720p", "9:16")
assert (w, h) == (720, 1280)
assert calculate_viral_video_credits(15, w, h) == 29.68
def test_30s_1080p_portrait_is_146_14(self):
"""P0 回归:30s/1080p/9:16 竖屏 (1080×1920) =146.14 积分。"""
from packages.domain.points_rules import (
calculate_viral_video_credits,
resolve_video_dimensions,
)
w, h = resolve_video_dimensions("1080p", "9:16")
assert (w, h) == (1080, 1920)
assert calculate_viral_video_credits(30, w, h) == 146.14
def test_portrait_landscape_same_pixels_same_price(self):
"""相同像素数(横竖屏旋转)积分一致。"""
from packages.domain.points_rules import calculate_viral_video_credits
assert calculate_viral_video_credits(15, 1280, 720) == calculate_viral_video_credits(15, 720, 1280)
class TestViralVideoCreditsWithBreakdown:
"""calculate_viral_video_credits_with_breakdown:返回 (credits, breakdown_dict)。"""
def test_returns_credits_matching_plain_version(self):
"""新函数返回的 credits 必须与 calculate_viral_video_credits 完全一致,且 breakdown 字段齐全。"""
from packages.domain.points_rules import (
calculate_viral_video_credits,
calculate_viral_video_credits_with_breakdown,
)
for dur, w, h, model, hvi in [
(15, 1280, 720, "seedance-2.5", False),
(10, 720, 1280, "seedance-2.0", False),
(30, 1920, 1080, "seedance-2.5", False),
(5, 480, 480, "", False),
]:
c1 = calculate_viral_video_credits(dur, w, h, model=model, has_video_input=hvi)
c2, bd = calculate_viral_video_credits_with_breakdown(dur, w, h, model=model, has_video_input=hvi)
assert c1 == c2
assert isinstance(bd, dict)
for key in (
"tokens",
"video_cost",
"fixed_cost",
"profit_multiplier",
"model_price",
"width",
"height",
"fps",
):
assert key in bd, f"breakdown missing key: {key}"
assert bd["fixed_cost"] == 0.15
assert bd["profit_multiplier"] == 1.3
assert bd["width"] == w
assert bd["height"] == h
assert bd["fps"] == 24
assert bd["tokens"] > 0
assert bd["model_price"] > 0
expected = round((bd["video_cost"] + bd["fixed_cost"]) * bd["profit_multiplier"], 2)
assert expected == c2
def test_actual_tokens_overrides_computed(self):
"""actual_tokens 传入时应覆盖按公式计算的 tokens。"""
from packages.domain.points_rules import calculate_viral_video_credits_with_breakdown
c, bd = calculate_viral_video_credits_with_breakdown(
15,
1280,
720,
actual_tokens=1_000_000,
)
assert bd["tokens"] == 1_000_000.0
# video_cost = 1M/1M * 70 = 70; total = (70+0.15)*1.3 = 91.195 → 91.20
assert c == 91.20
+182 -19
View File
@@ -72,7 +72,7 @@ class TestCheckBalance:
class TestDeductPoints:
def test_deduct_fails_insufficient_balance(self, service, db_session, user_id):
result = service.deduct_points(user_id, 100, "ai_voice", db_session)
result = service.deduct_points(user_id, 100, "voice_clone_synth", db_session)
assert result["success"] is False
assert result["transaction_id"] is None
@@ -80,13 +80,13 @@ class TestDeductPoints:
# 先充值
service.add_points(user_id, 50, "recharge", db_session)
# 再扣减
result = service.deduct_points(user_id, 20, "ai_voice", db_session)
result = service.deduct_points(user_id, 20, "voice_clone_synth", db_session)
assert result["success"] is True
assert result["balance"] == 30
def test_deduct_creates_transaction(self, service, db_session, user_id):
service.add_points(user_id, 100, "recharge", db_session)
result = service.deduct_points(user_id, 30, "ai_voice", db_session)
result = service.deduct_points(user_id, 30, "voice_clone_synth", db_session)
assert result["success"] is True
txns = service.get_transactions(user_id, db_session)
@@ -111,14 +111,14 @@ class TestAddPoints:
class TestRefundPoints:
def test_refund_adds_back(self, service, db_session, user_id):
service.add_points(user_id, 100, "recharge", db_session)
service.deduct_points(user_id, 20, "ai_voice", db_session)
result = service.refund_points(user_id, 20, "ai_voice", db_session)
service.deduct_points(user_id, 20, "voice_clone_synth", db_session)
result = service.refund_points(user_id, 20, "voice_clone_synth", db_session)
assert result["success"] is True
assert result["balance"] == 100
def test_refund_creates_refund_transaction(self, service, db_session, user_id):
service.add_points(user_id, 100, "recharge", db_session)
service.refund_points(user_id, 10, "ai_rewrite", db_session)
service.refund_points(user_id, 10, "voice_clone_synth", db_session)
txns = service.get_transactions(user_id, db_session)
refund_txns = [t for t in txns["items"] if t["type"] == "add" and "refund" in t["source"]]
@@ -145,20 +145,14 @@ class TestGetTransactions:
class TestGetDailyUsage:
def test_zero_usage(self, service, db_session, user_id):
with patch("packages.domain.points_service._get_redis_client", return_value=None):
result = service.get_daily_usage(user_id, db_session)
assert result["free_clips_used"] == 0
assert result["free_clips_limit"] == 2
assert result["free_clips_remaining"] == 2
assert "reset_at" in result
"""智能混剪已免费,get_daily_usage 返回 unlimited(-1)占位。"""
def test_after_recording(self, service, db_session, user_id):
with patch("packages.domain.points_service._get_redis_client", return_value=None):
service.record_daily_free_clip(user_id, db_session)
result = service.get_daily_usage(user_id, db_session)
assert result["free_clips_used"] == 1
assert result["free_clips_remaining"] == 1
def test_returns_unlimited(self, service, db_session, user_id):
result = service.get_daily_usage(user_id, db_session)
assert result["free_clips_used"] == 0
assert result["free_clips_limit"] == -1 # -1 表示 unlimited
assert result["free_clips_remaining"] == -1
assert "reset_at" in result
class TestCreateOrder:
@@ -185,3 +179,172 @@ class TestCreateOrder:
def test_unknown_order_type_raises(self, service, db_session, user_id):
with pytest.raises(ValueError, match="Unknown order type"):
service.create_order(user_id, "insurance", "basic", db_session)
# ============ 爆款视频(viral_video)动态定价方法 ============
class TestDeductViralVideo:
"""deduct_viral_video(): 预扣积分,委托给 deduct_points。"""
def test_delegates_to_deduct_points_with_correct_args(self, service, db_session, user_id):
"""deduct_viral_video 应以 source='viral_video', ref_id=job_id 调用 deduct_points。"""
from unittest.mock import MagicMock
expected = {"success": True, "balance": 50.0, "transaction_id": "t1"}
with patch.object(service, "deduct_points", return_value=expected) as mock_dp:
result = service.deduct_viral_video(user_id, 10.5, "job-abc", db_session)
assert result == expected
mock_dp.assert_called_once()
kwargs = mock_dp.call_args.kwargs
assert kwargs["user_id"] == user_id
assert kwargs["amount"] == 10.5
assert kwargs["source"] == "viral_video"
assert kwargs["db"] is db_session
assert kwargs["description"] == "爆款视频生成"
assert kwargs["ref_id"] == "job-abc"
def test_none_credits_coerced_to_zero(self, service, db_session, user_id):
"""credits=None 时应被 float(credits or 0) 转为 0,不抛异常。"""
with patch.object(
service, "deduct_points", return_value={"success": True, "balance": 0, "transaction_id": "t"}
) as mock_dp:
service.deduct_viral_video(user_id, None, "job-nil", db_session)
assert mock_dp.call_args.kwargs["amount"] == 0.0
class TestSettleViralVideo:
"""settle_viral_video(): 多退少补结算。"""
def test_no_action_when_diff_below_epsilon(self, service, db_session, user_id):
"""|diff|<0.01 时返回 action=none,不调 refund/deduct。"""
with (
patch.object(service, "refund_points") as mock_refund,
patch.object(service, "deduct_points") as mock_deduct,
):
result = service.settle_viral_video(user_id, estimated=10.00, actual=10.001, txn_id="t1", db=db_session)
assert result["success"] is True
assert result["action"] == "none"
assert result["diff"] == 0.0
mock_refund.assert_not_called()
mock_deduct.assert_not_called()
def test_refund_when_actual_less_than_estimated(self, service, db_session, user_id):
"""actual<estimated 时走 refund_points,返回 action=refund。"""
refund_res = {"success": True, "balance": 60.0, "transaction_id": "tr-1"}
with patch.object(service, "refund_points", return_value=refund_res) as mock_refund:
result = service.settle_viral_video(user_id, estimated=20.0, actual=15.0, txn_id="t2", db=db_session)
assert result["success"] is True
assert result["action"] == "refund"
assert result["amount"] == 5.0
assert result["diff"] == -5.0
mock_refund.assert_called_once()
rk = mock_refund.call_args.kwargs
assert rk["user_id"] == user_id
assert rk["amount"] == 5.0
assert rk["source"] == "viral_video"
assert rk["ref_id"] == "t2"
assert rk["description"] == "爆款视频结算退费"
def test_refund_exception_returns_failure(self, service, db_session, user_id):
"""refund_points 抛异常时,应捕获并返回 success=False。"""
with patch.object(service, "refund_points", side_effect=RuntimeError("db down")):
result = service.settle_viral_video(user_id, estimated=20.0, actual=10.0, txn_id="t3", db=db_session)
assert result["success"] is False
assert result["action"] == "refund"
def test_deduct_when_actual_greater_than_estimated_success(self, service, db_session, user_id):
"""actual>estimated 且补扣成功 → action=deduct, success=True。"""
deduct_res = {"success": True, "balance": 40.0, "transaction_id": "td-1"}
with patch.object(service, "deduct_points", return_value=deduct_res) as mock_deduct:
result = service.settle_viral_video(user_id, estimated=15.0, actual=20.0, txn_id="t4", db=db_session)
assert result["success"] is True
assert result["action"] == "deduct"
assert result["amount"] == 5.0
assert result["diff"] == 5.0
mock_deduct.assert_called_once()
dk = mock_deduct.call_args.kwargs
assert dk["amount"] == 5.0
assert dk["source"] == "viral_video"
assert dk["ref_id"] == "t4"
def test_deduct_insufficient_balance_returns_success_false_not_raise(self, service, db_session, user_id):
"""actual>estimated 补扣时余额不足(success=False)应记录 warning 但不抛异常。"""
import logging
deduct_res = {"success": False, "balance": 2.0, "transaction_id": None}
with (
patch.object(service, "deduct_points", return_value=deduct_res),
patch("packages.domain.points_service.logger") as mock_logger,
):
result = service.settle_viral_video(user_id, estimated=15.0, actual=20.0, txn_id="t5", db=db_session)
# 即使补扣失败,函数也返回 action=deduct 但 success=False(不阻塞任务完成)
assert result["success"] is False
assert result["action"] == "deduct"
assert result["amount"] == 5.0
# 应打印 warning
mock_logger.warning.assert_called_once()
def test_deduct_exception_returns_failure(self, service, db_session, user_id):
"""deduct_points 抛异常时应捕获并返回 success=False。"""
with patch.object(service, "deduct_points", side_effect=RuntimeError("db boom")):
result = service.settle_viral_video(user_id, estimated=10.0, actual=20.0, txn_id="t6", db=db_session)
assert result["success"] is False
assert result["action"] == "deduct"
assert result["diff"] == 10.0
class TestRefundViralVideo:
"""refund_viral_video(): 爆款视频失败全额退款。"""
def test_zero_amount_returns_none_action(self, service, db_session, user_id):
"""amount<=0 直接返回 none action,不调 refund_points。"""
with patch.object(service, "refund_points") as mock_refund:
r1 = service.refund_viral_video(user_id, 0, "t0", db_session)
r2 = service.refund_viral_video(user_id, None, "t0", db_session)
r3 = service.refund_viral_video(user_id, -1.5, "t0", db_session)
assert r1 == {"success": True, "action": "none", "amount": 0.0}
assert r2 == {"success": True, "action": "none", "amount": 0.0}
assert r3["action"] == "none"
mock_refund.assert_not_called()
def test_success_path_delegates_to_refund_points(self, service, db_session, user_id):
"""成功路径:透传 user_id/amount/ref_id=txn_id/source=viral_video。"""
expected = {"success": True, "balance": 80.0, "transaction_id": "rf-1"}
with patch.object(service, "refund_points", return_value=expected) as mock_refund:
result = service.refund_viral_video(user_id, 30.0, "txn-xyz", db_session)
assert result == expected
mock_refund.assert_called_once()
rk = mock_refund.call_args.kwargs
assert rk["user_id"] == user_id
assert rk["amount"] == 30.0
assert rk["source"] == "viral_video"
assert rk["ref_id"] == "txn-xyz"
assert rk["description"] == "爆款视频失败退款"
def test_exception_returns_failure(self, service, db_session, user_id):
"""refund_points 抛异常时返回 success=False/action=refund。"""
with patch.object(service, "refund_points", side_effect=RuntimeError("conn lost")):
result = service.refund_viral_video(user_id, 25.0, "txn-err", db_session)
assert result["success"] is False
assert result["action"] == "refund"
assert result["amount"] == 25.0
+18 -63
View File
@@ -1,76 +1,31 @@
"""scripts_ai 积分扣点单元测试 (#1895 P2 step 2.3)"""
"""scripts_ai (抖音解析/改写/标题) — v1.6.2 起全部免费,不扣积分"""
from __future__ import annotations
from unittest.mock import MagicMock, patch
import pytest
from fastapi import HTTPException
class TestScriptsAiFree:
"""三个端点都已移除 @points_gate,不再扣点。"""
import packages.middleware.points_gate as _pg_module
def test_all_scenes_return_zero_cost(self):
from packages.domain.points_rules import calculate_points_cost
for scene in ("douyin_extract", "ai_rewrite", "ai_title"):
assert calculate_points_cost(scene, is_member=False) == 0
assert calculate_points_cost(scene, is_member=True) == 0
def _make_cu(user_id="u1", is_member=False, member_type=None):
cu = MagicMock()
cu.user.id = user_id
cu.user.is_member = is_member
cu.user.member_type = member_type
return cu
@pytest.fixture(autouse=True)
def _enable_gate(monkeypatch):
monkeypatch.setattr(_pg_module, "_points_gate_enabled", lambda: True)
yield
class TestScriptsAiPointsGate:
"""测试 scripts_ai 三个端点都挂了 @points_gate 并正确扣费。"""
@pytest.mark.parametrize(
"scene,endpoint_fn_name",
[
("douyin_extract", "extract_from_douyin"),
("ai_rewrite", "ai_rewrite"),
("ai_title", "ai_generate_titles"),
],
)
def test_insufficient_points_raises_402(self, scene, endpoint_fn_name):
"""积分不足时抛 402。"""
def test_no_points_gate_decorators(self):
from app.api.routes import scripts_ai
from app.schemas.scripts_ai import (
AiGenerateTitlesRequest,
AiRewriteRequest,
ExtractFromDouyinRequest,
)
fn = getattr(scripts_ai, endpoint_fn_name)
db = MagicMock()
cu = _make_cu()
if scene == "douyin_extract":
req = ExtractFromDouyinRequest(url="https://v.douyin.com/abc/")
elif scene == "ai_rewrite":
req = AiRewriteRequest(content="测试文案")
else:
req = AiGenerateTitlesRequest(content="测试文案", count=3)
for fn_name in ("extract_from_douyin", "ai_rewrite", "ai_generate_titles"):
fn = getattr(scripts_ai, fn_name)
assert not hasattr(fn, "__wrapped__"), f"{fn_name} still has @points_gate"
with patch("packages.domain.points_service.PointsService") as MockSvc:
svc = MagicMock()
svc.deduct_points.return_value = {"success": False, "balance": 0}
MockSvc.return_value = svc
with pytest.raises(HTTPException) as ei:
fn(request=req, current_user=cu, db=db)
assert ei.value.status_code == 402
def test_module_no_points_imports(self):
import inspect
def test_disabled_passthrough_no_user_error(self, monkeypatch):
"""关闭时不需要 user/db 也能被装饰器透传(验证 gate 关闭零副作用)。"""
from app.api.routes import scripts_ai
from app.schemas.scripts_ai import AiRewriteRequest
monkeypatch.setattr(_pg_module, "_points_gate_enabled", lambda: False)
fn = scripts_ai.ai_rewrite
# 不带 db/current_user 也应透传(后续业务逻辑可能报错但不是 401/500 gate 错误)
with pytest.raises(Exception) as ei:
fn(request=AiRewriteRequest(content="x"), current_user=None, db=None)
# 不应是 gate 抛的 401/500
assert isinstance(ei.value, AttributeError) or ei.value.status_code not in (401, 500)
src = inspect.getsource(scripts_ai)
assert "PointsService" not in src
assert "points_gate" not in src
assert "calculate_points_cost" not in src
+31 -94
View File
@@ -1,6 +1,6 @@
"""TTS + voice_clone 积分扣点单元测试 (#1895 P2 step 2.1)
"""TTS (免费) + voice_clone 预览 (扣点) 单测 (#1895 P2 step 2.1)
覆盖 synthesize / voice_clone preview 在积分开关下的扣点、余额不足、失败退费、会员折扣等分支。
v1.6.2: TTS 合成/预览(ai_voice)已免费,不再扣点;voice_clone 预览(voice_clone_synth)仍保持 1积分/分钟扣点。
"""
from __future__ import annotations
@@ -44,21 +44,10 @@ def _make_request(text="你好世界", voice_id="v1", **kw):
return r
def _est_minutes(chars: int) -> float:
return max(1.0, math.ceil(chars / 240))
class TestTtsSynthesizeFree:
"""TTS synthesize/preview 已移除手动扣点,不再实例化 PointsService。"""
class TestEstimateMinutes:
@pytest.mark.parametrize(
"chars,expected",
[(1, 1.0), (240, 1.0), (241, 2.0), (480, 2.0), (481, 3.0), (1000, 5.0)],
)
def test_estimate(self, chars, expected):
assert _est_minutes(chars) == expected
class TestTtsSynthesizePointsDeduction:
def _setup(self, text="你好", deduct_success=True, balance=0, start_synth_raises=None, send_task_raises=None):
def _setup(self, start_synth_raises=None):
db = MagicMock()
cu = _make_cu()
repo = MagicMock()
@@ -77,43 +66,27 @@ class TestTtsSynthesizePointsDeduction:
wf.start_synthesis.side_effect = start_synth_raises
vc_repo = MagicMock()
vc_repo.get.return_value = None
svc = MagicMock()
svc.deduct_points.return_value = {"success": deduct_success, "balance": balance}
fake_settings = MagicMock(points_enabled=True)
return db, cu, repo, uc, wf, vc_repo, svc, fake_settings, job
return db, cu, repo, uc, wf, vc_repo, job
def test_insufficient_raises_402(self):
db, cu, repo, uc, wf, vc_repo, svc, fs, _ = self._setup(text="你好" * 200, deduct_success=False, balance=0)
def test_module_has_no_points_imports(self):
import inspect
from app.api.routes import tts as mod
src = inspect.getsource(mod)
assert "PointsService" not in src
assert "calculate_points_cost" not in src
assert "_points_deducted" not in src
assert "import math" not in src
def test_success_returns_job_without_points(self):
db, cu, repo, uc, wf, vc_repo, job = self._setup()
from app.api.routes.tts import synthesize
with (
patch("app.api.routes.tts.CreateTTSJobUseCase", return_value=uc),
patch("app.api.routes.tts.TTSWorkflowService", return_value=wf),
patch("app.api.routes.tts.PointsService", return_value=svc),
patch("app.api.routes.tts.settings", fs),
):
with pytest.raises(HTTPException) as ei:
synthesize(
request=_make_request(text="你好" * 200),
authenticated_user=cu,
db=db,
repository=repo,
cosyvoice_service=MagicMock(),
voice_clone_repo=vc_repo,
)
assert ei.value.status_code == 402
assert ei.value.detail["code"] == "INSUFFICIENT_POINTS"
def test_success_deducts_points(self):
db, cu, repo, uc, wf, vc_repo, svc, fs, job = self._setup()
from app.api.routes.tts import synthesize
with (
patch("app.api.routes.tts.CreateTTSJobUseCase", return_value=uc),
patch("app.api.routes.tts.TTSWorkflowService", return_value=wf),
patch("app.api.routes.tts.PointsService", return_value=svc),
patch("app.api.routes.tts.celery_app.send_task") as _st,
patch("app.api.routes.tts.settings", fs),
patch("app.api.routes.tts.celery_app.send_task"),
):
resp = synthesize(
request=_make_request(text="测试"),
@@ -123,60 +96,17 @@ class TestTtsSynthesizePointsDeduction:
cosyvoice_service=MagicMock(),
voice_clone_repo=vc_repo,
)
svc.deduct_points.assert_called_once()
assert resp.job_id == job.id
def test_synthesis_failure_refunds(self):
db, cu, repo, uc, wf, vc_repo, svc, fs, _ = self._setup(start_synth_raises=RuntimeError("boom"))
from app.api.routes.tts import synthesize
with (
patch("app.api.routes.tts.CreateTTSJobUseCase", return_value=uc),
patch("app.api.routes.tts.TTSWorkflowService", return_value=wf),
patch("app.api.routes.tts.PointsService", return_value=svc),
patch("app.api.routes.tts.celery_app.send_task"),
patch("app.api.routes.tts.settings", fs),
):
synthesize(
request=_make_request(text="测试"),
authenticated_user=cu,
db=db,
repository=repo,
cosyvoice_service=MagicMock(),
voice_clone_repo=vc_repo,
)
assert svc.refund_points.called
def test_celery_send_failure_refunds(self):
db, cu, repo, uc, wf, vc_repo, svc, fs, _ = self._setup(send_task_raises=RuntimeError("celery down"))
from app.api.routes.tts import synthesize
with (
patch("app.api.routes.tts.CreateTTSJobUseCase", return_value=uc),
patch("app.api.routes.tts.TTSWorkflowService", return_value=wf),
patch("app.api.routes.tts.PointsService", return_value=svc),
patch("app.api.routes.tts.celery_app.send_task", side_effect=RuntimeError("celery down")),
patch("app.api.routes.tts.settings", fs),
):
synthesize(
request=_make_request(text="测试"),
authenticated_user=cu,
db=db,
repository=repo,
cosyvoice_service=MagicMock(),
voice_clone_repo=vc_repo,
)
assert svc.refund_points.called
def test_member_cheaper(self):
def test_ai_voice_cost_zero(self):
from packages.domain.points_rules import calculate_points_cost
cf = calculate_points_cost("ai_voice", is_member=False, duration_minutes=2)
cm = calculate_points_cost("ai_voice", is_member=True, member_type="monthly", duration_minutes=2)
assert cm < cf
assert calculate_points_cost("ai_voice", is_member=False, duration_minutes=10) == 0
class TestVoiceClonePreviewPoints:
"""voice_clone 预览(voice_clone_synth)保持 1 积分/分钟扣点。"""
def _setup(self, text="你好", deduct_success=True, balance=0, synth_raises=None):
db = MagicMock()
cu = _make_cu()
@@ -265,3 +195,10 @@ class TestVoiceClonePreviewPoints:
)
svc.deduct_points.assert_called_once()
assert resp.audio_url.startswith("http")
def test_member_cheaper(self):
from packages.domain.points_rules import calculate_points_cost
cf = calculate_points_cost("voice_clone_synth", is_member=False, duration_minutes=2)
cm = calculate_points_cost("voice_clone_synth", is_member=True, member_type="monthly", duration_minutes=2)
assert cm < cf
+2 -6
View File
@@ -17,7 +17,6 @@ import pytest
from pydantic import ValidationError
from packages.domain.viral_video import (
CREDITS_VIRAL_VIDEO_COST,
STAGE_LABELS,
FusionLevel,
StyleStrength,
@@ -129,9 +128,6 @@ class TestViralVideoJobDefaults:
assert job.result_video_url == ""
assert job.error_msg == ""
def test_credits_cost_constant(self):
assert CREDITS_VIRAL_VIDEO_COST == 50
class TestViralVideoStage:
"""阶段枚举测试。"""
@@ -559,7 +555,7 @@ class TestPipelineIntegration:
mock_review.return_value = {"passed": True, "score": 90}
mock_tts.return_value = None # TTS 失败也能走下去(Seedance generate_audio=True 会自己合成音效)
mock_tts_upload.return_value = None
mock_render.return_value = "/tmp/video.mp4"
mock_render.return_value = ("/tmp/video.mp4", {"completion_tokens": 1000000})
mock_upload.return_value = "https://oss.example.com/final.mp4"
result = resume_viral_video_pipeline.run("job-001")
@@ -567,4 +563,4 @@ class TestPipelineIntegration:
assert result["ok"] is True
assert result["video_url"] == "https://oss.example.com/final.mp4"
assert job.status == ViralVideoStatus.COMPLETED
assert job.credits_cost == CREDITS_VIRAL_VIDEO_COST
assert isinstance(job.credits_cost, float)
+13 -7
View File
@@ -212,10 +212,13 @@ class TestCallVideoGeneration:
with patch("packages.shared.ai_service.get_doubao_client") as mock_get:
mock_client = MagicMock()
mock_client.is_available = True
mock_client.video_generation.return_value = str(out)
mock_client.video_generation.return_value = {
"video_path": str(out),
"usage": {"completion_tokens": 1000000},
}
mock_get.return_value = mock_client
result = call_video_generation(prompt="测试", image_url="https://img/x.jpg", duration=5, ratio="9:16")
assert result == str(out)
assert result is not None and result["video_path"] == str(out)
mock_client.video_generation.assert_called_once()
kwargs = mock_client.video_generation.call_args.kwargs
assert kwargs["prompt"] == "测试"
@@ -238,7 +241,10 @@ class TestCallVideoGenerationV16:
with patch("packages.shared.ai_service.get_doubao_client") as mock_get:
mock_client = MagicMock()
mock_client.is_available = True
mock_client.video_generation.return_value = str(out)
mock_client.video_generation.return_value = {
"video_path": str(out),
"usage": {"completion_tokens": 1500000},
}
mock_get.return_value = mock_client
result = call_video_generation(
prompt="测试",
@@ -251,10 +257,10 @@ class TestCallVideoGenerationV16:
generate_audio=True,
model="doubao-seedance-2-5-260628",
)
assert result == str(out)
assert result is not None and result["video_path"] == str(out)
kwargs = mock_client.video_generation.call_args.kwargs
# 首帧模式不传 ratio(Bug #2110)
assert "ratio" not in kwargs
# 图生视频也必须传 ratio(避免首帧方图导致默认输出 1:1)
assert kwargs.get("ratio") == "9:16", f"ratio 应透传,got {kwargs.get('ratio')!r}"
assert kwargs["image_url"] == "https://img/x.jpg"
assert kwargs["reference_audios"] == ["https://oss/tts.mp3"]
assert kwargs["reference_images"] == ["https://img/r1.jpg"]
@@ -270,7 +276,7 @@ class TestCallVideoGenerationV16:
with patch("packages.shared.ai_service.get_doubao_client") as mock_get:
mock_client = MagicMock()
mock_client.is_available = True
mock_client.video_generation.return_value = str(out)
mock_client.video_generation.return_value = {"video_path": str(out), "usage": None}
mock_get.return_value = mock_client
call_video_generation(prompt="测试", duration=10, ratio="16:9")
kwargs = mock_client.video_generation.call_args.kwargs
+466 -1
View File
@@ -14,6 +14,8 @@ from __future__ import annotations
from types import SimpleNamespace
from unittest.mock import MagicMock, patch
import pytest
def _auth_user(uid: str = "u1"):
return SimpleNamespace(user=SimpleNamespace(id=uid))
@@ -60,7 +62,10 @@ def _make_job(job_id: str = "job-1", user_id: str = "u1", status: str = "pending
"voice_mode": "global",
"video_ratio": "9:16",
"video_model": "",
"credits_cost": 0,
"video_resolution": "720p",
"credits_prepaid": 0.0,
"credits_transaction_id": "",
"credits_cost": 0.0,
"current_stage": "",
"phase_message": "",
"updated_at": None,
@@ -133,6 +138,163 @@ class TestRetryViralVideo:
mock_send.assert_called_once_with("worker.run_viral_video_pipeline", args=["job-retry"])
assert resp.id == "job-retry"
def test_retry_without_body_keeps_original_params(self):
"""不传 body 时,保持原参数且不调用积分服务。"""
from app.api.routes import viral_video as vv_mod
from packages.domain.viral_video import ViralVideoStatus
user = _auth_user("u1")
session = MagicMock()
job = _make_job(
job_id="job-retry2", user_id="u1", status=ViralVideoStatus.FAILED,
duration=15, video_ratio="9:16", video_resolution="720p", video_model="seedance-2.5",
credits_prepaid=5.0, credits_transaction_id="txn1", retry_count=0,
)
repo = MagicMock()
repo.get.return_value = job
with (
patch.object(vv_mod, "_get_job_repo", return_value=repo),
patch("app.config.settings") as mock_settings,
patch("packages.domain.points_service.PointsService") as MockSvc,
patch.object(vv_mod.celery_app, "send_task"),
):
mock_settings.points_enabled = True
# request=None (未传 body)
resp = vv_mod.retry_viral_video_job("job-retry2", None, authenticated_user=user, session=session)
MockSvc.assert_not_called()
assert resp.id == "job-retry2"
assert job.status == ViralVideoStatus.PENDING
assert job.duration == 15 # 参数不变
def test_retry_insufficient_points_raises_402(self):
"""参数变更导致新预估更高且余额不足时,抛 402 阻止重试。"""
from app.api.routes import viral_video as vv_mod
from app.schemas.viral_video import RetryViralVideoRequest
from fastapi import HTTPException
from packages.domain.viral_video import ViralVideoStatus
user = _auth_user("u1")
session = MagicMock()
job = _make_job(
job_id="job-retry3a", user_id="u1", status=ViralVideoStatus.FAILED,
duration=15, video_ratio="9:16", video_resolution="720p", video_model="seedance-2.5",
credits_prepaid=5.0, credits_transaction_id="txn-old", retry_count=0,
)
repo = MagicMock()
repo.get.return_value = job
fake_svc = MagicMock()
fake_svc.deduct_viral_video.return_value = {"success": False, "balance": 1.0}
req = RetryViralVideoRequest(duration=30, video_resolution="1080p", video_ratio="16:9", video_model="seedance-2.5")
with (
patch.object(vv_mod, "_get_job_repo", return_value=repo),
patch("app.config.settings") as mock_settings,
patch("packages.domain.points_service.PointsService", return_value=fake_svc),
patch("packages.domain.points_rules.resolve_video_dimensions", return_value=(1920, 1080)),
patch("packages.domain.points_rules.calculate_viral_video_credits_with_breakdown",
return_value=(15.0, {})),
patch.object(vv_mod.celery_app, "send_task"),
):
mock_settings.points_enabled = True
with pytest.raises(HTTPException) as exc:
vv_mod.retry_viral_video_job("job-retry3a", req, authenticated_user=user, session=session)
assert exc.value.status_code == 402
fake_svc.deduct_viral_video.assert_called_once()
def test_retry_higher_estimation_calls_deduct_delta(self):
"""参数变更新预估更高时调用 deduct_viral_video 补扣差额,并更新 job 参数。"""
from app.api.routes import viral_video as vv_mod
from app.schemas.viral_video import RetryViralVideoRequest
from packages.domain.viral_video import ViralVideoStatus
user = _auth_user("u1")
session = MagicMock()
job = _make_job(
job_id="job-retry3b", user_id="u1", status=ViralVideoStatus.FAILED,
duration=15, video_ratio="9:16", video_resolution="720p", video_model="seedance-2.5",
credits_prepaid=5.0, credits_transaction_id="txn-old", retry_count=0,
)
# 用 SimpleNamespace 让属性真正可写
from types import SimpleNamespace
job.credits_prepaid = 5.0
repo = MagicMock()
repo.get.return_value = job
fake_svc = MagicMock()
fake_svc.deduct_viral_video.return_value = {"success": True, "balance": 50.0, "transaction_id": "txn-new"}
req = RetryViralVideoRequest(duration=30, video_resolution="1080p", video_ratio="16:9", video_model="seedance-2.5")
new_est = 15.0
with (
patch.object(vv_mod, "_get_job_repo", return_value=repo),
patch("app.config.settings") as mock_settings,
patch("packages.domain.points_service.PointsService", return_value=fake_svc),
patch("packages.domain.points_rules.resolve_video_dimensions", return_value=(1920, 1080)),
patch("packages.domain.points_rules.calculate_viral_video_credits_with_breakdown",
return_value=(new_est, {})),
patch.object(vv_mod.celery_app, "send_task"),
):
mock_settings.points_enabled = True
resp = vv_mod.retry_viral_video_job("job-retry3b", req, authenticated_user=user, session=session)
assert job.duration == 30
assert job.video_resolution == "1080p"
assert job.video_ratio == "16:9"
# 补扣差额 = 15-5 = 10
fake_svc.deduct_viral_video.assert_called_once()
call_args = fake_svc.deduct_viral_video.call_args
assert call_args.args[1] == 10.0 # credits 是位置参数
assert resp.id == "job-retry3b"
def test_retry_lower_estimation_calls_refund_delta(self):
"""参数变更新预估更低时,调用 refund_points 退还差额,并更新 job 参数。"""
from app.api.routes import viral_video as vv_mod
from app.schemas.viral_video import RetryViralVideoRequest
from packages.domain.viral_video import ViralVideoStatus
user = _auth_user("u1")
session = MagicMock()
job = _make_job(
job_id="job-retry4", user_id="u1", status=ViralVideoStatus.FAILED,
duration=20, video_ratio="16:9", video_resolution="1080p", video_model="seedance-2.5",
credits_prepaid=10.0, credits_transaction_id="txn-old", retry_count=0,
)
job.credits_prepaid = 10.0
repo = MagicMock()
repo.get.return_value = job
fake_svc = MagicMock()
fake_svc.refund_points.return_value = {"success": True}
req = RetryViralVideoRequest(duration=5, video_resolution="480p", video_ratio="9:16")
new_est = 3.0
with (
patch.object(vv_mod, "_get_job_repo", return_value=repo),
patch("app.config.settings") as mock_settings,
patch("packages.domain.points_service.PointsService", return_value=fake_svc),
patch("packages.domain.points_rules.resolve_video_dimensions", return_value=(270, 480)),
patch("packages.domain.points_rules.calculate_viral_video_credits_with_breakdown",
return_value=(new_est, {})),
patch.object(vv_mod.celery_app, "send_task"),
):
mock_settings.points_enabled = True
vv_mod.retry_viral_video_job("job-retry4", req, authenticated_user=user, session=session)
assert job.duration == 5
assert job.video_resolution == "480p"
assert job.video_ratio == "9:16"
fake_svc.refund_points.assert_called_once()
call_args = fake_svc.refund_points.call_args
# 退差额 = 10-3 = 7
assert call_args.kwargs["amount"] == 7.0
# ── confirm-intent ──────────────────────────────────────────────────────
@@ -399,3 +561,306 @@ class TestConfirmCopy:
with pytest.raises(HTTPException) as exc:
vv_mod.confirm_copy("job-cc2", ConfirmCopyRequest(), authenticated_user=user, session=session)
assert exc.value.status_code == 409
# ── confirm-copy 积分预扣 + estimate-credits 端点 (#2151) ──────────────
class TestConfirmCopyPointsDeduction:
"""confirm_copy 中积分预扣分支(points_enabled=True)。"""
def test_points_enabled_deducts_successfully(self):
"""points_enabled=True + 未预付 → 计算预估积分 → deduct_viral_video → 写入 credits_prepaid。"""
from app.api.routes import viral_video as vv_mod
from app.schemas.viral_video import ConfirmCopyRequest
from fastapi import HTTPException
from packages.domain.viral_video import ViralVideoStatus
user = _auth_user("u1")
session = MagicMock()
job = _make_job(job_id="job-pay", user_id="u1", status=ViralVideoStatus.COPY_GENERATED)
# 默认 credits_prepaid=0, credits_cost=0 → 触发预扣
repo = MagicMock()
repo.get.return_value = job
req = ConfirmCopyRequest(edited_copy="改好的文案")
mock_svc = MagicMock()
mock_svc.deduct_viral_video.return_value = {"success": True, "balance": 100.0, "transaction_id": "txn-1"}
with (
patch.object(vv_mod, "_get_job_repo", return_value=repo),
patch.object(vv_mod, "_settings", None, create=True), # ensure not cached
patch("app.config.settings") as mock_settings,
patch("packages.domain.points_rules.calculate_viral_video_credits", return_value=5.2),
patch("packages.domain.points_rules.resolve_video_dimensions", return_value=(720, 1280)),
patch("packages.domain.points_service.PointsService", return_value=mock_svc),
patch.object(vv_mod.celery_app, "send_task"),
):
mock_settings.points_enabled = True
resp = vv_mod.confirm_copy("job-pay", req, authenticated_user=user, session=session)
# deduct_viral_video 被调用
mock_svc.deduct_viral_video.assert_called_once()
call_args = mock_svc.deduct_viral_video.call_args
assert call_args.args[0] == "u1" # user_id
assert call_args.args[1] == 5.2 # credits
assert call_args.args[2] == "job-pay" # job_id
# credits_prepaid / credits_transaction_id 被写入
assert job.credits_prepaid == 5.2
assert job.credits_transaction_id == "txn-1"
assert resp.id == "job-pay"
# resume + repo.update 至少调用过(其中一次是 credits 字段更新,一次是 resume 后)
job.resume_from_copy_generated.assert_called_once_with(edited_copy="改好的文案")
def test_points_enabled_insufficient_balance_raises_402(self):
"""余额不足(deduct_viral_video 返回 success=False)→ HTTP 402。"""
import pytest
from app.api.routes import viral_video as vv_mod
from app.schemas.viral_video import ConfirmCopyRequest
from fastapi import HTTPException
from packages.domain.viral_video import ViralVideoStatus
user = _auth_user("u1")
session = MagicMock()
job = _make_job(job_id="job-402", user_id="u1", status=ViralVideoStatus.COPY_GENERATED)
repo = MagicMock()
repo.get.return_value = job
req = ConfirmCopyRequest()
mock_svc = MagicMock()
mock_svc.deduct_viral_video.return_value = {"success": False, "balance": 1.5, "transaction_id": None}
with (
patch.object(vv_mod, "_get_job_repo", return_value=repo),
patch("app.config.settings") as mock_settings,
patch("packages.domain.points_rules.calculate_viral_video_credits", return_value=10.0),
patch("packages.domain.points_rules.resolve_video_dimensions", return_value=(720, 1280)),
patch("packages.domain.points_service.PointsService", return_value=mock_svc),
patch.object(vv_mod.celery_app, "send_task"),
):
mock_settings.points_enabled = True
with pytest.raises(HTTPException) as exc:
vv_mod.confirm_copy("job-402", req, authenticated_user=user, session=session)
assert exc.value.status_code == 402
detail = exc.value.detail
assert detail["code"] == "INSUFFICIENT_POINTS"
assert detail["required"] == 10.0
assert detail["balance"] == 1.5
# 预扣失败不应调用 resume 或 send_task
job.resume_from_copy_generated.assert_not_called()
def test_already_paid_skips_deduction(self):
"""credits_prepaid>0(已经扣过费/重试场景) → 跳过预扣,不调用 PointsService。"""
from app.api.routes import viral_video as vv_mod
from app.schemas.viral_video import ConfirmCopyRequest
from packages.domain.viral_video import ViralVideoStatus
user = _auth_user("u1")
session = MagicMock()
job = _make_job(
job_id="job-paid",
user_id="u1",
status=ViralVideoStatus.COPY_GENERATED,
credits_prepaid=8.5,
credits_transaction_id="txn-old",
)
repo = MagicMock()
repo.get.return_value = job
req = ConfirmCopyRequest(edited_copy="继续")
with (
patch.object(vv_mod, "_get_job_repo", return_value=repo),
patch("app.config.settings") as mock_settings,
patch("packages.domain.points_service.PointsService") as MockSvc,
patch.object(vv_mod.celery_app, "send_task") as mock_send,
):
mock_settings.points_enabled = True
resp = vv_mod.confirm_copy("job-paid", req, authenticated_user=user, session=session)
# PointsService 不应被实例化(没预扣)
MockSvc.assert_not_called()
job.resume_from_copy_generated.assert_called_once_with(edited_copy="继续")
mock_send.assert_called_once_with("worker.run_viral_video_render", args=["job-paid"])
assert resp.id == "job-paid"
# credits_prepaid 保持不变
assert job.credits_prepaid == 8.5
def test_already_paid_via_credits_cost_skips_deduction(self):
"""credits_cost>0 也算已付费(兼容旧字段),跳过预扣。"""
from app.api.routes import viral_video as vv_mod
from app.schemas.viral_video import ConfirmCopyRequest
from packages.domain.viral_video import ViralVideoStatus
user = _auth_user("u1")
session = MagicMock()
job = _make_job(
job_id="job-paid2",
user_id="u1",
status=ViralVideoStatus.COPY_GENERATED,
credits_prepaid=0,
credits_cost=7.0,
)
repo = MagicMock()
repo.get.return_value = job
req = ConfirmCopyRequest()
with (
patch.object(vv_mod, "_get_job_repo", return_value=repo),
patch("app.config.settings") as mock_settings,
patch("packages.domain.points_service.PointsService") as MockSvc,
patch.object(vv_mod.celery_app, "send_task"),
):
mock_settings.points_enabled = True
vv_mod.confirm_copy("job-paid2", req, authenticated_user=user, session=session)
MockSvc.assert_not_called()
def test_points_disabled_skips_deduction(self):
"""points_enabled=False 时不进入预扣逻辑,保持原流程。"""
from app.api.routes import viral_video as vv_mod
from app.schemas.viral_video import ConfirmCopyRequest
from packages.domain.viral_video import ViralVideoStatus
user = _auth_user("u1")
session = MagicMock()
job = _make_job(job_id="job-free", user_id="u1", status=ViralVideoStatus.COPY_GENERATED)
repo = MagicMock()
repo.get.return_value = job
req = ConfirmCopyRequest()
with (
patch.object(vv_mod, "_get_job_repo", return_value=repo),
patch("app.config.settings") as mock_settings,
patch("packages.domain.points_service.PointsService") as MockSvc,
patch.object(vv_mod.celery_app, "send_task"),
):
mock_settings.points_enabled = False
vv_mod.confirm_copy("job-free", req, authenticated_user=user, session=session)
MockSvc.assert_not_called()
job.resume_from_copy_generated.assert_called_once()
class TestEstimateCredits:
"""POST /estimate-credits: 纯计算预估积分。"""
def test_estimate_returns_float_with_breakdown(self):
"""正常参数应返回 estimated_credits(float, >0, 两位小数) + formula_breakdown。"""
from app.api.routes import viral_video as vv_mod
from app.schemas.viral_video import EstimateCreditsRequest
req = EstimateCreditsRequest(model="seedance-2.5", resolution="720p", ratio="9:16", duration=15)
user = _auth_user("u1")
resp = vv_mod.estimate_credits(req, authenticated_user=user)
assert isinstance(resp.estimated_credits, float)
assert resp.estimated_credits > 0
assert round(resp.estimated_credits, 2) == resp.estimated_credits
# formula_breakdown 必须返回并包含全部字段
bd = resp.formula_breakdown
assert bd.tokens > 0
assert bd.video_cost >= 0
assert bd.fixed_cost > 0
assert bd.profit_multiplier == 1.3
assert bd.model_price > 0
assert bd.width > 0
assert bd.height > 0
assert bd.fps > 0
def test_estimate_uses_dimensions_resolver_and_with_breakdown(self):
"""estimate_credits 调用 resolve_video_dimensions 与 calculate_viral_video_credits_with_breakdown。"""
from app.api.routes import viral_video as vv_mod
from app.schemas.viral_video import EstimateCreditsRequest
req = EstimateCreditsRequest(model="seedance-2.5", resolution="1080p", ratio="16:9", duration=20)
user = _auth_user("u1")
fake_bd = {
"tokens": 1000.0, "video_cost": 1.0, "fixed_cost": 0.15,
"profit_multiplier": 1.3, "model_price": 70.0,
"width": 1920, "height": 1080, "fps": 24,
}
with (
patch("packages.domain.points_rules.resolve_video_dimensions", return_value=(1920, 1080)) as mock_res,
patch(
"packages.domain.points_rules.calculate_viral_video_credits_with_breakdown",
return_value=(8.88, fake_bd),
) as mock_calc,
):
resp = vv_mod.estimate_credits(req, authenticated_user=user)
mock_res.assert_called_once_with("1080p", "16:9")
mock_calc.assert_called_once()
args, kwargs = mock_calc.call_args
assert args[0] == 20
assert args[1] == 1920
assert args[2] == 1080
assert args[3] == "seedance-2.5"
assert resp.estimated_credits == 8.88
assert resp.formula_breakdown.width == 1920
assert resp.formula_breakdown.height == 1080
assert resp.formula_breakdown.model_price == 70.0
def test_estimate_empty_model_defaults_to_seedance_2_5(self):
"""model 为空字符串时,传入 calculate 的 model 参数应为 'seedance-2.5'。"""
from app.api.routes import viral_video as vv_mod
from app.schemas.viral_video import EstimateCreditsRequest
req = EstimateCreditsRequest(model="", resolution="720p", ratio="9:16", duration=10)
user = _auth_user("u1")
fake_bd = {
"tokens": 500.0, "video_cost": 0.5, "fixed_cost": 0.15,
"profit_multiplier": 1.3, "model_price": 70.0,
"width": 720, "height": 1280, "fps": 24,
}
with (
patch("packages.domain.points_rules.resolve_video_dimensions", return_value=(720, 1280)),
patch(
"packages.domain.points_rules.calculate_viral_video_credits_with_breakdown",
return_value=(3.5, fake_bd),
) as mock_calc,
):
resp = vv_mod.estimate_credits(req, authenticated_user=user)
args, kwargs = mock_calc.call_args
assert args[3] == "seedance-2.5"
assert resp.estimated_credits == 3.5
assert resp.formula_breakdown.height == 1280
def test_estimate_accepts_video_model_alias(self):
"""前端传 video_model/video_resolution/video_ratio(别名)也应被正确解析。"""
from app.api.routes import viral_video as vv_mod
from app.schemas.viral_video import EstimateCreditsRequest
req = EstimateCreditsRequest.model_validate(
{"video_model": "seedance-2.0", "video_resolution": "480p", "video_ratio": "1:1", "duration": 5}
)
user = _auth_user("u1")
fake_bd = {
"tokens": 100.0, "video_cost": 0.1, "fixed_cost": 0.15,
"profit_multiplier": 1.3, "model_price": 46.0,
"width": 480, "height": 480, "fps": 24,
}
with (
patch("packages.domain.points_rules.resolve_video_dimensions", return_value=(480, 480)) as mock_res,
patch(
"packages.domain.points_rules.calculate_viral_video_credits_with_breakdown",
return_value=(1.0, fake_bd),
) as mock_calc,
):
vv_mod.estimate_credits(req, authenticated_user=user)
mock_res.assert_called_once_with("480p", "1:1")
args, kwargs = mock_calc.call_args
assert args[0] == 5
assert args[1] == 480
assert args[2] == 480
assert args[3] == "seedance-2.0"