229 lines
8.0 KiB
Python
229 lines
8.0 KiB
Python
import base64
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import json
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import logging
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import mimetypes
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import os
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from datetime import datetime, timezone
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import httpx
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from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession
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from volcenginesdkarkruntime import AsyncArk
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from app.config import settings
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from app.models.video_engine import VideoEngine
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from app.services.log_config import is_enabled, LOG_DIR, LOG_DATE_FORMAT, encrypt_data
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from app.services.generation_provider_types import (
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ProviderGenerationRecordLike,
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ProviderVideoEngineLike,
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)
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logger = logging.getLogger("videogen")
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def _log_video_request(engine: ProviderVideoEngineLike, record_id: str, request_data: dict):
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"""Log video generation request to log/AiModel/YYYY-MM-DD.log"""
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if not is_enabled():
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return
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try:
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os.makedirs(LOG_DIR, exist_ok=True)
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today = datetime.now().strftime(LOG_DATE_FORMAT)
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log_file = os.path.join(LOG_DIR, f"{today}.log")
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request_str = json.dumps(request_data, ensure_ascii=False)
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request_encrypted = encrypt_data(request_data)
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entry = {
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"timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
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"type": "video_gen_request",
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"engine": engine.name,
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"model": engine.model_name,
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"record_id": record_id,
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"request": request_encrypted,
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"request_length": len(request_str),
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}
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with open(log_file, "a", encoding="utf-8") as f:
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f.write(json.dumps(entry, ensure_ascii=False) + "\n")
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except Exception:
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pass
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def _log_video_response(record_id: str, response_data: dict, error: str | None = None):
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"""Log video generation response to log/AiModel/YYYY-MM-DD.log"""
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if not is_enabled():
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return
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try:
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os.makedirs(LOG_DIR, exist_ok=True)
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today = datetime.now().strftime(LOG_DATE_FORMAT)
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log_file = os.path.join(LOG_DIR, f"{today}.log")
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response_encrypted = encrypt_data(response_data) if response_data else ""
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entry = {
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"timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
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"type": "video_gen_response",
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"record_id": record_id,
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"response": response_encrypted,
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"error": error,
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}
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with open(log_file, "a", encoding="utf-8") as f:
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f.write(json.dumps(entry, ensure_ascii=False) + "\n")
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except Exception:
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pass
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async def get_active_engine(db: AsyncSession) -> VideoEngine:
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"""Get the active video engine with highest priority."""
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result = await db.execute(
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select(VideoEngine)
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.where(VideoEngine.is_active == True)
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.order_by(VideoEngine.priority.desc())
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.limit(1)
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)
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engine = result.scalar_one_or_none()
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if not engine:
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raise ValueError("没有可用的视频引擎，请联系管理员配置")
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return engine
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def _resolve_url(url: str) -> str:
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"""Convert local path to base64 data URI, pass through remote URLs."""
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# if url.startswith("http"):
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# return url
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# # Local file: read and encode as base64 data URI
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# file_path = os.path.join(settings.UPLOAD_LOCAL_PATH, url.replace("/uploads/", ""))
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# if not os.path.exists(file_path):
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# return url
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# mime = mimetypes.guess_type(file_path)[0] or "application/octet-stream"
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# with open(file_path, "rb") as f:
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# b64 = base64.b64encode(f.read()).decode()
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# return f"data:{mime};base64,{b64}"
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if url.startswith(("http://", "https://", "data:")):
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return url
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return f"{settings.BASE_URL.rstrip('/')}/{url.lstrip('/')}"
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async def submit_video_task(
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db: AsyncSession,
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engine: ProviderVideoEngineLike,
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record: ProviderGenerationRecordLike,
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*,
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include_media_references: bool,
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) -> str:
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"""Submit a video generation task via Ark SDK. Returns task_id."""
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client = AsyncArk(
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base_url=engine.api_base,
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api_key=engine.api_key,
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)
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content = [{"type": "text", "text": record.optimized_prompt or record.original_prompt}]
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# GenerationRecord 的附件已在 API 提词优化阶段参与过 optimized_prompt 生成；
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# ChatGenerationTask 不走 API 提词优化，所以创建供应商任务时仍需携带附件。
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if include_media_references and record.media_references:
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try:
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refs = json.loads(record.media_references)
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for ref in refs:
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ref_type = ref.get("type")
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ref_url = ref.get("url", "")
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if ref_type == "image" and ref_url:
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resolved = _resolve_url(ref_url)
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content.append({"type": "image_url", "image_url": {"url": resolved},"role":"reference_image"})
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elif ref_type == "video" and ref_url:
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resolved = _resolve_url(ref_url)
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content.append({"type": "video_url", "video_url": {"url": resolved},"role":"reference_video"})
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except (json.JSONDecodeError, TypeError):
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pass
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request_payload = {
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"model": engine.model_name,
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"content": content,
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"ratio": record.aspect_ratio,
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"duration": record.duration,
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"resolution": record.resolution,
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"generate_audio": True,
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"watermark": False,
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}
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# Log request to AiModel log. include_media_references 只用于排查日志，不传给供应商 API。
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_log_video_request(
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engine,
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record.id,
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{**request_payload, "include_media_references": include_media_references},
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)
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try:
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result = await client.content_generation.tasks.create(**request_payload)
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task_id = result.id
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_log_video_response(record.id, {"task_id": task_id})
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except Exception as e:
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_log_video_response(record.id, {}, str(e))
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raise
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finally:
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await client.close()
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return task_id
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async def poll_task_status(engine: VideoEngine, task_id: str) -> dict:
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"""Query task status via Ark SDK. Returns {status, video_url, response_data}."""
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client = AsyncArk(
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base_url=engine.api_base,
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api_key=engine.api_key,
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)
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result = await client.content_generation.tasks.get(task_id=task_id)
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await client.close()
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# Serialize response
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response_dict = {
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"id": result.id,
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"model": result.model,
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"status": result.status,
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"created_at": result.created_at,
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"updated_at": result.updated_at,
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}
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video_url = None
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video_tokens = 0
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if result.status == "succeeded" and result.content:
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video_url = getattr(result.content, "video_url", None)
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response_dict["video_url"] = video_url
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response_dict["duration"] = getattr(result, "duration", None)
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response_dict["ratio"] = getattr(result, "ratio", None)
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response_dict["resolution"] = getattr(result, "resolution", None)
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# Extract usage info if present
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usage = getattr(result, "usage", None)
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if usage:
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response_dict["usage"] = {
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"input_tokens": getattr(usage, "input_tokens", 0),
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"output_tokens": getattr(usage, "output_tokens", 0),
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"total_tokens": getattr(usage, "total_tokens", 0),
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}
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video_tokens = getattr(usage, "total_tokens", 0)
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elif result.status == "failed":
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response_dict["error"] = str(getattr(result, "error", "视频生成失败"))
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return {
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"status": result.status,
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"video_url": video_url,
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"video_tokens": video_tokens,
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"response_data": json.dumps(response_dict, ensure_ascii=False, default=str),
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"error": response_dict.get("error"),
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}
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async def download_video(video_url: str, dest_path: str) -> str:
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"""Download video to local storage."""
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import os
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os.makedirs(os.path.dirname(dest_path), exist_ok=True)
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async with httpx.AsyncClient(timeout=300) as client:
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async with client.stream("GET", video_url) as response:
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response.raise_for_status()
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with open(dest_path, "wb") as f:
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async for chunk in response.aiter_bytes(chunk_size=8192):
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f.write(chunk)
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return dest_path
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