|
| 1 | +# -*- coding: utf-8 -*- |
| 2 | +# pylint:disable=abstract-method, deprecated-module, wrong-import-order |
| 3 | + |
| 4 | +import os |
| 5 | +import uuid |
| 6 | +from http import HTTPStatus |
| 7 | +from typing import Any, Optional |
| 8 | + |
| 9 | +from dashscope.aigc.video_synthesis import AioVideoSynthesis |
| 10 | +from mcp.server.fastmcp import Context |
| 11 | +from pydantic import BaseModel, Field |
| 12 | + |
| 13 | +from ..base import Tool |
| 14 | +from ..utils.api_key_util import get_api_key, ApiNames |
| 15 | +from ...engine.tracing import trace, TracingUtil |
| 16 | + |
| 17 | + |
| 18 | +class ImageToVideoWan26SubmitInput(BaseModel): |
| 19 | + """ |
| 20 | + Input model for submitting an image-to-video task using wan2.6-i2v. |
| 21 | + """ |
| 22 | + |
| 23 | + image_url: str = Field( |
| 24 | + ..., |
| 25 | + description="首帧图像的公网可访问URL,支持 JPG/PNG 格式,Base64编码径", |
| 26 | + ) |
| 27 | + prompt: Optional[str] = Field( |
| 28 | + default=None, |
| 29 | + description="正向提示词,描述希望视频中发生的动作或变化,例如“镜头缓慢推进,风吹动树叶”。", |
| 30 | + ) |
| 31 | + negative_prompt: Optional[str] = Field( |
| 32 | + default=None, |
| 33 | + description="反向提示词,用于排除不希望出现的内容,例如“模糊、闪烁、变形、水印”。", |
| 34 | + ) |
| 35 | + audio_url: Optional[str] = Field( |
| 36 | + default=None, |
| 37 | + description="自定义音频文件的公网URL。参数优先级:audio_url > audio。", |
| 38 | + ) |
| 39 | + audio: Optional[bool] = Field( |
| 40 | + default=None, |
| 41 | + description="是否自动生成配音。仅在 audio_url 未提供时生效。", |
| 42 | + ) |
| 43 | + template: Optional[str] = Field( |
| 44 | + default=None, |
| 45 | + description="视频特效模板,如:squish(解压捏捏)、flying(魔法悬浮)、carousel(时光木马)等。", |
| 46 | + ) |
| 47 | + resolution: Optional[str] = Field( |
| 48 | + default=None, |
| 49 | + description="视频分辨率,可选值:'720P'、'1080P'。默认为 '1080P'。", |
| 50 | + ) |
| 51 | + duration: Optional[int] = Field( |
| 52 | + default=None, |
| 53 | + description="视频时长(秒),可选值:5、10、15。默认为 5。", |
| 54 | + ) |
| 55 | + prompt_extend: Optional[bool] = Field( |
| 56 | + default=None, |
| 57 | + description=" Prompt 智能改写。开启后可提升生成效果,并使 shot_type 生效," |
| 58 | + "默认值为 true:开启智能改写。false:不开启智能改写。", |
| 59 | + ) |
| 60 | + shot_type: Optional[str] = Field( |
| 61 | + default=None, |
| 62 | + description="镜头类型,仅在 prompt_extend=true 时生效。" |
| 63 | + "可选值:'single'(单镜头,默认)、'multi'(多镜头切换)。" |
| 64 | + "参数优先级高于 prompt 中的描述。", |
| 65 | + ) |
| 66 | + watermark: Optional[bool] = Field( |
| 67 | + default=None, |
| 68 | + description="是否在视频中添加水印(如“AI生成”标识)。默认不添加。", |
| 69 | + ) |
| 70 | + seed: Optional[int] = Field( |
| 71 | + default=None, |
| 72 | + description="随机种子,用于结果复现。", |
| 73 | + ) |
| 74 | + ctx: Optional[Context] = Field( |
| 75 | + default=None, |
| 76 | + description="HTTP request context containing headers for mcp only, " |
| 77 | + "don't generate it", |
| 78 | + ) |
| 79 | + |
| 80 | + |
| 81 | +class ImageToVideoWan26SubmitOutput(BaseModel): |
| 82 | + """ |
| 83 | + Output of the image-to-video task submission. |
| 84 | + """ |
| 85 | + |
| 86 | + task_id: str = Field( |
| 87 | + title="Task ID", |
| 88 | + description="异步任务的唯一标识符。", |
| 89 | + ) |
| 90 | + task_status: str = Field( |
| 91 | + title="Task Status", |
| 92 | + description="视频生成的任务状态,PENDING:任务排队中,RUNNING:任务处理中,SUCCEEDED:任务执行成功," |
| 93 | + "FAILED:任务执行失败,CANCELED:任务取消成功,UNKNOWN:任务不存在或状态未知", |
| 94 | + ) |
| 95 | + request_id: Optional[str] = Field( |
| 96 | + default=None, |
| 97 | + title="Request ID", |
| 98 | + description="本次请求的唯一ID,可用于日志追踪。", |
| 99 | + ) |
| 100 | + |
| 101 | + |
| 102 | +class ImageToVideoWan26Submit( |
| 103 | + Tool[ImageToVideoWan26SubmitInput, ImageToVideoWan26SubmitOutput], |
| 104 | +): |
| 105 | + """ |
| 106 | + Submit an image-to-video generation task using the wan2.6-i2v model. |
| 107 | + """ |
| 108 | + |
| 109 | + name: str = "modelstudio_image_to_video_wan26_submit_task" |
| 110 | + description: str = ( |
| 111 | + "[版本: wan2.6] 通义万相图生视频模型(wan2.6-i2v)异步任务提交工具。基于单张首帧图像和文本提示,生成一段流畅的有声视频。\n" # noqa |
| 112 | + "支持视频时长:5秒、10秒或15秒;分辨率:720P、1080P;支持自动配音或传入自定义音频,实现音画同步。\n" |
| 113 | + "独家支持多镜头叙事:可生成包含多个镜头的视频,并在镜头切换时保持主体一致性。\n" |
| 114 | + "提供特效模板(如“魔法悬浮”、“气球膨胀”),适用于创意视频制作、娱乐特效展示等场景。\n" |
| 115 | + ) |
| 116 | + |
| 117 | + @trace(trace_type="AIGC", trace_name="image_to_video_wan26_submit") |
| 118 | + async def arun( |
| 119 | + self, |
| 120 | + args: ImageToVideoWan26SubmitInput, |
| 121 | + **kwargs: Any, |
| 122 | + ) -> ImageToVideoWan26SubmitOutput: |
| 123 | + trace_event = kwargs.pop("trace_event", None) |
| 124 | + request_id = TracingUtil.get_request_id() |
| 125 | + |
| 126 | + try: |
| 127 | + api_key = get_api_key(ApiNames.dashscope_api_key, **kwargs) |
| 128 | + except AssertionError as e: |
| 129 | + raise ValueError("Please set valid DASHSCOPE_API_KEY!") from e |
| 130 | + |
| 131 | + model_name = kwargs.get( |
| 132 | + "model_name", |
| 133 | + os.getenv("IMAGE_TO_VIDEO_MODEL_NAME", "wan2.6-i2v"), |
| 134 | + ) |
| 135 | + |
| 136 | + # 构建 parameters(全部为可选参数) |
| 137 | + parameters = {} |
| 138 | + if args.audio is not None: |
| 139 | + parameters["audio"] = args.audio |
| 140 | + if args.resolution: |
| 141 | + parameters["resolution"] = args.resolution |
| 142 | + if args.duration is not None: |
| 143 | + parameters["duration"] = args.duration |
| 144 | + if args.prompt_extend is not None: |
| 145 | + parameters["prompt_extend"] = args.prompt_extend |
| 146 | + if args.shot_type: |
| 147 | + parameters["shot_type"] = args.shot_type |
| 148 | + if args.watermark is not None: |
| 149 | + parameters["watermark"] = args.watermark |
| 150 | + if args.seed is not None: |
| 151 | + parameters["seed"] = args.seed |
| 152 | + aio_video_synthesis = AioVideoSynthesis() |
| 153 | + |
| 154 | + # ⚠️ 关键修正:DashScope SDK 要求使用 img_url,不是 input |
| 155 | + response = await aio_video_synthesis.async_call( |
| 156 | + model=model_name, |
| 157 | + api_key=api_key, |
| 158 | + img_url=args.image_url, # ✅ 正确参数名 |
| 159 | + prompt=args.prompt, |
| 160 | + negative_prompt=args.negative_prompt, |
| 161 | + audio_url=args.audio_url, |
| 162 | + template=args.template, |
| 163 | + **parameters, |
| 164 | + ) |
| 165 | + |
| 166 | + if trace_event: |
| 167 | + trace_event.on_log( |
| 168 | + "", |
| 169 | + **{ |
| 170 | + "step_suffix": "results", |
| 171 | + "payload": { |
| 172 | + "request_id": request_id, |
| 173 | + "submit_task": response, |
| 174 | + }, |
| 175 | + }, |
| 176 | + ) |
| 177 | + |
| 178 | + if ( |
| 179 | + response.status_code != HTTPStatus.OK |
| 180 | + or not response.output |
| 181 | + or response.output.task_status in ["FAILED", "CANCELED"] |
| 182 | + ): |
| 183 | + raise RuntimeError( |
| 184 | + f"Failed to submit image-to-video task: {response}", |
| 185 | + ) |
| 186 | + |
| 187 | + request_id = response.request_id or request_id or str(uuid.uuid4()) |
| 188 | + |
| 189 | + return ImageToVideoWan26SubmitOutput( |
| 190 | + request_id=request_id, |
| 191 | + task_id=response.output.task_id, |
| 192 | + task_status=response.output.task_status, |
| 193 | + ) |
| 194 | + |
| 195 | + |
| 196 | +# ========== Fetch 部分保持不变(仅微调描述) ========== |
| 197 | + |
| 198 | + |
| 199 | +class ImageToVideoWan26FetchInput(BaseModel): # noqa |
| 200 | + task_id: str = Field( |
| 201 | + title="Task ID", |
| 202 | + description="要查询的视频生成任务ID。", |
| 203 | + ) |
| 204 | + ctx: Optional[Context] = Field( |
| 205 | + default=None, |
| 206 | + description="HTTP request context containing headers for mcp only, " |
| 207 | + "don't generate it", |
| 208 | + ) |
| 209 | + |
| 210 | + |
| 211 | +class ImageToVideoWan26FetchOutput(BaseModel): |
| 212 | + video_url: str = Field( |
| 213 | + title="Video URL", |
| 214 | + description="生成视频的公网可访问URL(MP4格式)。", |
| 215 | + ) |
| 216 | + task_id: str = Field( |
| 217 | + title="Task ID", |
| 218 | + description="任务ID,与输入一致。", |
| 219 | + ) |
| 220 | + task_status: str = Field( |
| 221 | + title="Task Status", |
| 222 | + description="任务最终状态,成功时为 SUCCEEDED。", |
| 223 | + ) |
| 224 | + request_id: Optional[str] = Field( |
| 225 | + default=None, |
| 226 | + title="Request ID", |
| 227 | + description="请求ID,用于追踪。", |
| 228 | + ) |
| 229 | + |
| 230 | + |
| 231 | +class ImageToVideoWan26Fetch( |
| 232 | + Tool[ImageToVideoWan26FetchInput, ImageToVideoWan26FetchOutput], |
| 233 | +): |
| 234 | + name: str = "modelstudio_image_to_video_wan26_fetch_result" |
| 235 | + description: str = ( |
| 236 | + "查询通义万相 wan2.6-i2v 图生视频任务的结果。" |
| 237 | + "输入 Task ID,返回生成的视频 URL 及任务状态。" |
| 238 | + "请在提交任务后轮询此接口,直到任务状态变为 SUCCEEDED。" |
| 239 | + ) |
| 240 | + |
| 241 | + @trace(trace_type="AIGC", trace_name="image_to_video_wan26_fetch") |
| 242 | + async def arun( |
| 243 | + self, |
| 244 | + args: ImageToVideoWan26FetchInput, |
| 245 | + **kwargs: Any, |
| 246 | + ) -> ImageToVideoWan26FetchOutput: |
| 247 | + trace_event = kwargs.pop("trace_event", None) |
| 248 | + request_id = TracingUtil.get_request_id() |
| 249 | + |
| 250 | + try: |
| 251 | + api_key = get_api_key(ApiNames.dashscope_api_key, **kwargs) |
| 252 | + except AssertionError as e: |
| 253 | + raise ValueError("Please set valid DASHSCOPE_API_KEY!") from e |
| 254 | + |
| 255 | + aio_video_synthesis = AioVideoSynthesis() |
| 256 | + |
| 257 | + response = await aio_video_synthesis.fetch( |
| 258 | + api_key=api_key, |
| 259 | + task=args.task_id, |
| 260 | + ) |
| 261 | + |
| 262 | + if trace_event: |
| 263 | + trace_event.on_log( |
| 264 | + "", |
| 265 | + **{ |
| 266 | + "step_suffix": "results", |
| 267 | + "payload": { |
| 268 | + "request_id": response.request_id, |
| 269 | + "fetch_result": response, |
| 270 | + }, |
| 271 | + }, |
| 272 | + ) |
| 273 | + |
| 274 | + if ( |
| 275 | + response.status_code != HTTPStatus.OK |
| 276 | + or not response.output |
| 277 | + or response.output.task_status in ["FAILED", "CANCELED"] |
| 278 | + ): |
| 279 | + raise RuntimeError( |
| 280 | + f"Failed to fetch image-to-video result: {response}", |
| 281 | + ) |
| 282 | + |
| 283 | + request_id = response.request_id or request_id or str(uuid.uuid4()) |
| 284 | + |
| 285 | + return ImageToVideoWan26FetchOutput( |
| 286 | + video_url=response.output.video_url, |
| 287 | + task_id=response.output.task_id, |
| 288 | + task_status=response.output.task_status, |
| 289 | + request_id=request_id, |
| 290 | + ) |
0 commit comments