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xiaoxia-saas/apps/api/app/services/lipsync_service.py
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merge: 合并 develop 解决 AI数字人冲突(v3新契约 + develop增强 双保留)
前端7文件(基于 v3 契约为主干融合 develop 增强,#1828口径):
- 对口型模式A: video_url+voice_id+script_text+speed+emotion(英文枚举,禁传video_asset_id)
- title_config 按 build_title_drawtext_filter 真实字段映射(text/font_size/font_color/position默认bottom/enabled/bold/stroke/shadow), 不传 titles[]/fontSize/frame
- 智能封面 POST /ai-avatar/render/smart-cover; 语速情绪全链路透传
- 保留 develop: MediaKit中间状态/非阻塞轮询(running中间态)/标题TextArea实时预览+标题库(TitleLibraryModal)
后端4文件取 backend/ai-avatar-merge-1827(0e994072) 已解版本(双模式/TTS直生/emotion透传/中间状态)
tsc ai-avatar 零错误, prettier 全合规
2026-09-09 23:02:15 +08:00

339 lines
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Python
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"""对口型 Service — #1796 MediaKit 对口型业务逻辑, #1809 参数调整.
职责:
- 创建/查询对口型任务
- 双输入模式:TTS 直生(voice_id + script_text,内部先合成音频转存 OSS)或直接音频(audio_url
- 调用 MediaKit 客户端提交异步任务
- 轮询更新任务状态(中间状态同步 DB,成片转存自家 OSS)
- 用户隔离(每个用户只能操作自己的任务)
"""
from __future__ import annotations
import io
import logging
import uuid
from datetime import datetime, timezone
from typing import Optional
from app.services.mediakit_client import (
STATUS_COMPLETED,
STATUS_FAILED,
STATUS_RUNNING,
MediaKitClient,
MediaKitError,
get_mediakit_client,
)
from sqlalchemy.orm import Session
from packages.adapters.sqlalchemy_impl.models import LipsyncJobModel
from packages.application.cosyvoice_service import CosyVoiceError, normalize_emotion
from packages.shared.storage import get_shared_storage_service
from packages.shared.url_security import ALLOWED_AUDIO_MIME_TYPES, safe_download_bytes
logger = logging.getLogger(__name__)
class LipsyncService:
"""对口型任务 Service."""
def __init__(
self,
db: Session,
client: Optional[MediaKitClient] = None,
cosyvoice_service=None,
voice_clone_repo=None,
):
self.db = db
self.client = client or get_mediakit_client()
self._cosyvoice = cosyvoice_service
self._voice_clone_repo = voice_clone_repo
def _get_cosyvoice(self):
"""延迟获取 CosyVoiceService(与 tts 路由一致,含 OSS 预签名配置)."""
if self._cosyvoice is None:
from app.dependencies import get_cosyvoice_service
self._cosyvoice = get_cosyvoice_service()
return self._cosyvoice
def _resolve_voice_id(self, voice_id: str, user_id: str) -> str:
"""将克隆音色 profile UUID 解析为 CosyVoice voice_id。
与 /tts/synthesize 保持一致:命中 profile → 校验归属 → 返回其 voice_id;
未命中(预置音色 ID 或克隆 CosyVoice voice_id)原样返回。
"""
if not voice_id:
return ""
if self._voice_clone_repo is None:
try:
from app.dependencies import get_voice_clone_profile_repository
self._voice_clone_repo = get_voice_clone_profile_repository(self.db)
except Exception:
return voice_id
try:
profile = self._voice_clone_repo.get(voice_id)
except Exception:
return voice_id
if profile is None:
return voice_id
if getattr(profile, "user_id", "") != user_id:
raise MediaKitError("无权访问该音色", code="VoiceForbidden")
if not getattr(profile, "voice_id", ""):
raise MediaKitError("音色克隆尚未完成,请稍后再试", code="VoiceNotReady")
return profile.voice_id
def _synthesize_and_persist_audio(
self,
*,
user_id: str,
job_id: str,
voice_id: str,
script_text: str,
speed: float,
emotion: str,
) -> str:
"""TTS 直生:调 CosyVoice 合成音频并转存 OSS,返回可公网访问的音频 URL.
Raises:
MediaKitError: 合成失败
"""
actual_voice_id = self._resolve_voice_id(voice_id, user_id)
cosyvoice = self._get_cosyvoice()
try:
result = cosyvoice.submit_synthesize_task(
text=script_text,
voice_id=actual_voice_id,
speed=speed,
emotion=normalize_emotion(emotion),
)
except CosyVoiceError as exc:
raise MediaKitError(f"TTS 合成失败: {exc}", code="TTSSynthesisFailed") from exc
except ValueError as exc:
raise MediaKitError(f"TTS 参数错误: {exc}", code="TTSInvalidParam") from exc
temp_url = result.get("audio_url", "")
if not temp_url:
raise MediaKitError("TTS 未返回音频 URL", code="TTSNoAudio")
# 转存到自家 OSS,避免临时 URL 过期导致 MediaKit 拉取失败
try:
audio_data = safe_download_bytes(
temp_url,
purpose="lipsync_tts_audio",
allowed_mime_types=ALLOWED_AUDIO_MIME_TYPES,
timeout=60.0,
)
storage = get_shared_storage_service()
storage_key = f"lipsync-tts/{user_id}/{job_id}.mp3"
permanent_url = storage.upload_file(io.BytesIO(audio_data), storage_key, content_type="audio/mpeg")
logger.info("对口型 TTS 音频已转存 OSS: job_id=%s key=%s", job_id, storage_key)
return permanent_url
except Exception as exc:
logger.warning("TTS 音频转存 OSS 失败,回退临时 URL: job_id=%s err=%s", job_id, exc)
return temp_url
# ── 创建任务 ──────────────────────────────────────────────────────────
def create_job(
self,
*,
user_id: str,
video_url: str,
audio_url: str = "",
voice_id: str = "",
script_text: str = "",
speed: float = 1.0,
emotion: str = "",
enable_video_loop: bool = False,
project_id: str = "",
) -> LipsyncJobModel:
"""创建对口型任务并提交到 MediaKit.
两种输入模式:
- TTS 直生:voice_id + script_textaudio_url 留空),后端先合成音频
- 直接音频:提供 audio_url
Raises:
MediaKitError: TTS 合成或 MediaKit 提交失败
"""
# 0. TTS 直生模式:先合成音频(在创建 DB 记录之前完成,失败直接抛出)
if not audio_url:
if not (voice_id and script_text):
raise MediaKitError(
"必须提供 audio_url 或 voice_id+script_text",
code="InvalidInput",
)
# 预合成:用临时 job_id 命名 OSS 对象
pre_job_id = str(uuid.uuid4())
audio_url = self._synthesize_and_persist_audio(
user_id=user_id,
job_id=pre_job_id,
voice_id=voice_id,
script_text=script_text,
speed=speed,
emotion=emotion,
)
# 1. 创建数据库记录
job_id = str(uuid.uuid4())
job = LipsyncJobModel(
id=job_id,
user_id=user_id,
project_id=project_id,
video_url=video_url,
audio_url=audio_url,
enable_video_loop=enable_video_loop,
voice_id=voice_id or "",
script_text=script_text or "",
speed=speed,
emotion=normalize_emotion(emotion),
status="pending",
)
self.db.add(job)
self.db.flush()
# 3. 提交到 MediaKit
try:
result = self.client.submit_lipsync(
video_url=video_url,
audio_url=audio_url,
enable_video_loop=enable_video_loop,
client_token=job_id, # 幂等控制
)
job.mediakit_task_id = result["task_id"]
job.status = "submitted"
job.submitted_at = datetime.now(timezone.utc)
except MediaKitError as exc:
job.status = "failed"
job.error_message = str(exc)
job.error_code = exc.code
logger.error("提交对口型任务失败: %s", exc)
raise
self.db.commit()
self.db.refresh(job)
return job
# ── 查询任务 ──────────────────────────────────────────────────────────
def get_job(self, job_id: str, user_id: str) -> Optional[LipsyncJobModel]:
"""获取任务详情(用户隔离)."""
return (
self.db.query(LipsyncJobModel)
.filter(LipsyncJobModel.id == job_id, LipsyncJobModel.user_id == user_id)
.first()
)
def list_jobs(
self,
*,
user_id: str,
project_id: str = "",
status: str = "",
offset: int = 0,
limit: int = 20,
) -> tuple[list[LipsyncJobModel], int]:
"""获取任务列表(分页 + 用户隔离)."""
query = self.db.query(LipsyncJobModel).filter(LipsyncJobModel.user_id == user_id)
if project_id:
query = query.filter(LipsyncJobModel.project_id == project_id)
if status:
query = query.filter(LipsyncJobModel.status == status)
total = query.count()
items = query.order_by(LipsyncJobModel.created_at.desc()).offset(offset).limit(limit).all()
return items, total
# ── 更新任务状态(轮询) ──────────────────────────────────────────────
def refresh_job_status(self, job_id: str, user_id: str) -> Optional[LipsyncJobModel]:
"""从 MediaKit 拉取最新状态并更新本地记录.
Returns:
更新后的 Job,或 None(任务不存在/不属于该用户)
"""
job = self.get_job(job_id, user_id)
if job is None:
return None
# 终态不需要再轮询
if job.status in (STATUS_COMPLETED, "failed"):
return job
# 未提交的任务不轮询
if not job.mediakit_task_id:
return job
try:
status_data = self.client.get_task_status(job.mediakit_task_id)
except MediaKitError as exc:
logger.error("轮询对口型任务状态失败 [%s]: %s", job_id, exc)
return job
mk_status = status_data.get("status", STATUS_RUNNING)
logger.info("MediaKit 对口型状态 [%s]: %s", job_id, mk_status)
if mk_status == STATUS_COMPLETED:
result = status_data.get("result", {})
job.status = STATUS_COMPLETED
output_url = result.get("video_url", "")
# MediaKit 输出为临时 URL,转存自家 OSS 防止过期(失败则回退临时 URL)
job.output_video_url = self._persist_output_video(output_url, job_id, user_id)
job.output_duration = result.get("duration", 0.0)
job.completed_at = datetime.now(timezone.utc)
elif mk_status == STATUS_FAILED:
error = status_data.get("error", {})
job.status = "failed"
job.error_message = error.get("message", "任务执行失败")
job.error_code = error.get("code", "TaskFailed")
job.completed_at = datetime.now(timezone.utc)
else:
# 中间状态(running/processing/queued 等)同步到 DB,避免前端永远卡在 submitted
if isinstance(mk_status, str) and mk_status:
job.status = mk_status
job.updated_at = datetime.now(timezone.utc)
self.db.commit()
self.db.refresh(job)
return job
def _persist_output_video(self, temp_url: str, job_id: str, user_id: str) -> str:
"""将 MediaKit 输出的临时视频 URL 转存到自家 OSS.
失败时回退返回原始临时 URL,不影响任务完成。
"""
if not temp_url:
return ""
try:
import httpx
with httpx.Client(timeout=180.0, follow_redirects=True) as client:
resp = client.get(temp_url)
resp.raise_for_status()
data = resp.content
storage = get_shared_storage_service()
storage_key = f"lipsync-outputs/{user_id}/{job_id}.mp4"
permanent_url = storage.upload_file(io.BytesIO(data), storage_key, content_type="video/mp4")
logger.info("对口型输出视频已转存 OSS: job_id=%s key=%s", job_id, storage_key)
return permanent_url or temp_url
except Exception as exc:
logger.warning("对口型输出视频转存 OSS 失败,回退临时 URL: job_id=%s err=%s", job_id, exc)
return temp_url
# ── 取消任务 ──────────────────────────────────────────────────────────
def cancel_job(self, job_id: str, user_id: str) -> Optional[LipsyncJobModel]:
"""取消任务(仅 pending/submitted 状态可取消)."""
job = self.get_job(job_id, user_id)
if job is None:
return None
if job.status in ("pending", "submitted"):
job.status = "cancelled"
job.updated_at = datetime.now(timezone.utc)
self.db.commit()
self.db.refresh(job)
return job