857 lines
39 KiB
Python
857 lines
39 KiB
Python
from typing import Annotated, Literal
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from pydantic import BaseModel, ConfigDict, Field, field_validator
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from app.schemas.common import NaiveDatetimeOptional
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from app.enums.generation_history import normalize_generation_history_source
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class GenerationAIReference(BaseModel):
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"""AI生成任务参考素材。"""
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model_config = ConfigDict(
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json_schema_extra={
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"example": {
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"url": "https://example.com/reference.png",
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"type": "image",
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"name": "参考图.png",
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"duration": 5.0,
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}
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}
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)
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url: str = Field(
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...,
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description="参考素材地址，可以是图片地址、视频地址或音频地址",
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examples=["https://example.com/reference.png"],
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)
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type: str = Field(
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...,
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description="参考素材类型：image=图片，video=视频，audio=音频",
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examples=["image"],
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)
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name: str | None = Field(
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None,
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description="参考素材名称，前端展示用，可为空",
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examples=["参考图.png"],
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)
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duration: float | None = Field(
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None,
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ge=0,
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description="参考素材时长（秒）。type=video/audio 时使用，用于视频/音频素材时长校验",
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examples=[5.0],
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)
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source: str | None = Field(
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None,
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description="参考素材来源。private_portrait_asset=真人素材库；为空表示普通上传文件",
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examples=["private_portrait_asset"],
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)
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private_asset_id: str | None = Field(
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None,
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description="真人素材库本地素材ID。source=private_portrait_asset 时必填，后端据此解析 remote_asset_id",
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examples=["0019fxxx"],
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)
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remote_asset_id: str | None = Field(
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None,
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description="后端回填的火山 Asset ID。前端传入时不可信，创建任务时以后端查库为准",
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examples=["asset-20260318071009-xxxxx"],
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)
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class GenerationAITaskCreate(BaseModel):
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"""创建AI图片/视频生成任务请求体。"""
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model_config = ConfigDict(
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json_schema_extra={
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"examples": [
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{
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"project_id": None,
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"gen_type": "image",
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"original_prompt": "生成一张赛博朋克风格的城市夜景",
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"engine_id": None,
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"media_references": [
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{
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"url": "https://example.com/reference.png",
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"type": "image",
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"name": "参考图.png",
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}
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],
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"idempotency_key": "frontend-submit-uuid-001",
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"image_size": "2K",
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"image_proportion": "1:1",
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"image_px": "2048x2048",
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"duration": None,
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"aspect_ratio": None,
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"resolution": None,
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},
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{
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"project_id": None,
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"gen_type": "video",
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"original_prompt": "生成一段海边日落的电影感视频",
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"engine_id": None,
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"media_references": None,
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"idempotency_key": "frontend-submit-uuid-002",
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"image_size": None,
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"image_proportion": None,
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"image_px": None,
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"duration": 4,
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"aspect_ratio": "16:9",
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"resolution": "480p",
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},
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]
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}
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)
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# 新 chat 生成任务不绑定 project_id。为了兼容旧前端误传，保留可选字段但后端不使用。
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project_id: str | None = Field(
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None,
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description="兼容旧前端字段。当前 /generation-ai 任务不绑定项目，后端不使用该字段，可传 null 或不传",
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examples=[None],
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)
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gen_type: str = Field(
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...,
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description="生成类型：image=图片生成，video=视频生成",
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examples=["image"],
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)
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original_prompt: str = Field(
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...,
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min_length=1,
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max_length=5000,
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description="用户原始提示词，不能为空，最长5000字符",
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examples=["生成一张赛博朋克风格的城市夜景"],
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)
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engine_id: str | None = Field(
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None,
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description="图片/视频引擎ID；为空则使用当前激活且优先级最高的引擎",
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examples=[None],
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)
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media_references: list[GenerationAIReference] | None = Field(
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None,
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description="参考素材列表。可以传图片/视频/音频参考素材；为空表示不使用参考素材",
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)
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idempotency_key: str | None = Field(
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None,
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max_length=64,
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description=(
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"幂等键，用于防止前端重复提交、网络重试导致重复创建任务和重复扣费。"
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"同一用户、同一 idempotency_key、同一 generation_mode 下重复请求会返回已有任务。"
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"建议前端每次点击生成时生成 UUID；同一次请求失败重试时复用同一个 UUID。"
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),
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examples=["frontend-submit-uuid-001"],
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)
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# image params
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image_size: str | None = Field(
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None,
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description="图片分辨率档位，例如：1K、2K。仅图片生成或视频首帧参数需要使用；为空则使用引擎默认值",
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examples=["2K"],
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)
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image_proportion: str | None = Field(
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None,
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description="图片比例，例如：1:1、16:9、9:16。仅图片生成或视频首帧参数需要使用；为空则使用默认值",
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examples=["1:1"],
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)
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image_px: str | None = Field(
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None,
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description="图片像素尺寸，例如：2048x2048。为空时后端根据 image_size 和 image_proportion 自动匹配",
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examples=["2048x2048"],
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)
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# video params
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duration: int | None = Field(
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None,
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description="视频时长，单位秒。仅视频生成使用；为空则使用默认时长",
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examples=[4],
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)
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aspect_ratio: str | None = Field(
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None,
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description="视频比例，例如：16:9、9:16、1:1。仅视频生成使用；为空则使用默认比例",
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examples=["16:9"],
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)
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resolution: str | None = Field(
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None,
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description="视频分辨率，例如：480p、720p、1080p。仅视频生成使用；为空则使用默认分辨率",
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examples=["480p"],
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)
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class GenerationAIImageEngineOptionOut(BaseModel):
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"""AI图片生成可用引擎响应项。"""
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id: str = Field(..., description="图片引擎ID，创建图片任务时传入 engine_id")
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name: str = Field(..., description="图片引擎名称，前端展示用")
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provider: str = Field(..., description="服务商标识，例如 ark")
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model_name: str | None = Field(None, description="服务商模型名称")
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supported_models: list[str] = Field(default_factory=list, description="该图片引擎支持的模型名称列表")
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supported_sizes: dict = Field(
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default_factory=dict,
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description="支持的图片尺寸映射。第一层为分辨率档位，例如 2K/4K；第二层为画布比例，例如 1:1/16:9；值为像素尺寸",
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)
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default_size: str | None = Field(None, description="默认图片分辨率档位，例如 2K")
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priority: int = Field(0, description="引擎优先级，数值越大越优先")
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max_image_count: int = Field(0, description="最大图片数量")
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class GenerationAIVideoEngineOptionOut(BaseModel):
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"""AI视频生成可用引擎响应项。"""
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id: str = Field(..., description="视频引擎ID，创建视频任务时传入 engine_id")
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name: str = Field(..., description="视频引擎名称，前端展示用")
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provider: str = Field(..., description="服务商标识，例如 ark")
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model_name: str | None = Field(None, description="服务商模型名称")
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supported_ratios: list[str] = Field(default_factory=list, description="支持的视频画面比例，例如 16:9、9:16、1:1")
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supported_resolutions: list[str] = Field(default_factory=list, description="支持的视频分辨率，例如 480p、720p、1080p")
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supported_durations: list[int] = Field(default_factory=list, description="支持的视频时长列表，单位秒")
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max_duration: int | None = Field(None, description="最大视频时长，单位秒")
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priority: int = Field(0, description="引擎优先级，数值越大越优先")
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max_image_count: int | None = Field(None, description="最大图片数量")
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max_video_count: int | None = Field(None, description="最大视频数量")
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max_audio_count: int | None = Field(None, description="最大参考音频数量，0 表示不支持音频参考")
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supports_first_last_frame: bool = Field(False, description="是否支持首帧和最后一帧")
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supports_universal_reference: bool = Field(False, description="是否支持通用参考")
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class GenerationAIEngineGroupOut(BaseModel):
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"""AI图片/视频引擎分组。"""
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image: list[GenerationAIImageEngineOptionOut] = Field(
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default_factory=list,
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description="当前启用的图片生成引擎列表",
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)
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video: list[GenerationAIVideoEngineOptionOut] = Field(
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default_factory=list,
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description="当前启用的视频生成引擎列表",
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)
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class GenerationAIEngineOptionsOut(BaseModel):
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"""AI图片/视频生成引擎列表响应体。"""
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model_config = ConfigDict(
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json_schema_extra={
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"example": {
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"engine": {
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"image": [
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{
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"id": "image_engine_xxx",
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"name": "豆包文生图",
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"provider": "ark",
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"model_name": "doubao-seedream-5-0-260128",
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"supported_models": ["doubao-seedream-5-0-260128"],
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"supported_sizes": {
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"2K": {
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"1:1": "2048x2048",
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"16:9": "2560x1440",
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}
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},
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"default_size": "2K",
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"priority": 10,
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"max_image_count": 0,
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}
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],
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"video": [
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{
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"id": "video_engine_xxx",
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"name": "Seedance 2.0",
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"provider": "ark",
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"model_name": "doubao-seedance-2-0-260128",
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"supported_ratios": ["16:9", "4:3", "1:1", "3:4", "9:16", "21:9"],
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"supported_resolutions": ["480p", "720p", "1080p"],
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"supported_durations": [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15],
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"max_duration": 15,
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"priority": 10,
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"max_image_count": 2,
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"max_video_count": 0,
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"max_audio_count": 0,
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"supports_first_last_frame": False,
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"supports_universal_reference": False,
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}
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],
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}
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}
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}
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)
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engine: GenerationAIEngineGroupOut = Field(..., description="图片/视频可用引擎分组")
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class GenerationAITaskOut(BaseModel):
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"""AI生成任务详情响应体。"""
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model_config = ConfigDict(
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json_schema_extra={
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"example": {
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"id": "0019e0a44895b6d837d",
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"source_type": "chat_task",
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"user_id": None,
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"user_name": None,
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"project_id": None,
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"generated_resource_id": "generated_resource_xxx",
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"gen_type": "image",
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"generation_mode": "chatapi_async",
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"pipeline_stage": "done",
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"status": "completed",
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"original_prompt": "生成一张赛博朋克风格的城市夜景",
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"optimized_prompt": None,
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"duration": None,
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"aspect_ratio": None,
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"resolution": None,
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"image_size": "2K",
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"image_proportion": "1:1",
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"image_px": "2048x2048",
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"media_references": None,
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"provider_task_id": "provider_task_xxx",
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"seedance_task_id": "provider_task_xxx",
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"remote_result_url": None,
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"image_url": "https://example.com/result.png",
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"video_url": None,
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"video_cover_url": None,
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"engine_id": "engine_xxx",
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"engine_snapshot": {
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"engine_type": "image",
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"id": "engine_xxx",
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"name": "图片生成引擎",
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"provider": "provider_name",
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"model_name": "model_name",
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"supported_models": [],
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"default_size": "2K",
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"selected_size": "2K",
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"selected_proportion": "1:1",
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"selected_px": "2048x2048",
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},
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"credits_cost": 10.0,
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"text_credits_cost": 0.0,
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"text_tokens_used": 0,
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"image_tokens_used": 0,
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"video_tokens_used": 0,
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"retry_count": 0,
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"poll_count": 3,
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"error_message": None,
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"created_at": "2026-05-27T10:12:00",
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"generated_at": "2026-05-27T10:15:30",
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}
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}
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)
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id: str = Field(..., description="生成任务ID")
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source_type: Literal["chat_task"] = Field(
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"chat_task",
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description="历史记录来源。ChatGenerationTask 新任务历史固定为 chat_task",
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)
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user_id: str | None = Field(
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None,
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description="用户ID，管理后台调用存在对应值，通常为 null",
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)
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user_name: str | None = Field(
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None,
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description="用户名称，管理后台调用存在对应值，通常为 null",
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)
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project_id: str | None = Field(
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None,
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description="项目ID。当前 /generation-ai 任务不绑定项目，通常为 null",
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)
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generated_resource_id: str | None = Field(
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None,
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description="关联的生成资源账本ID，来源于 generated_resources.id；历史脏数据可能为空",
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)
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file_name: str | None = Field(None, description="文件名，来源于 generated_resources.file_name")
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history_source: str | None = Field(
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None,
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description=(
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"素材云历史来源：chat_task=AI创作，generation_record=项目生成，"
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"hot_opening_replicate=爆款开头复刻，shot_replicate=拆镜复刻"
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),
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)
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history_source_label: str | None = Field(None, description="素材云历史来源中文名称")
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module_project_id: str | None = Field(None, description="模块生成项目ID；非模块生成历史返回 null")
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module_project_title: str | None = Field(None, description="模块生成项目标题；非模块生成历史返回 null")
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module_step_id: str | None = Field(None, description="模块生成步骤ID；非模块生成历史返回 null")
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module_step_code: str | None = Field(None, description="模块生成步骤编码；非模块生成历史返回 null")
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hot_opening_project_id: str | None = Field(None, description="爆款开头复刻项目ID；非爆款开头复刻返回 null")
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hot_opening_project_title: str | None = Field(None, description="爆款开头复刻项目标题；非爆款开头复刻返回 null")
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shot_replicate_project_id: str | None = Field(None, description="拆镜复刻项目ID；非拆镜复刻返回 null")
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shot_replicate_project_title: str | None = Field(None, description="拆镜复刻项目标题；非拆镜复刻返回 null")
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shot_task_set_id: str | None = Field(None, description="拆镜复刻总任务ID；非拆镜复刻返回 null")
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shot_segment_id: str | None = Field(None, description="拆镜复刻片段ID；非拆镜复刻返回 null")
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shot_segment_index: int | None = Field(None, description="拆镜复刻片段序号；非拆镜复刻返回 null")
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shot_segment_label: str | None = Field(None, description="拆镜复刻片段展示名称，例如：拆镜复刻片段1；非拆镜复刻返回 null")
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gen_type: str = Field(..., description="生成类型：image=图片，video=视频")
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generation_mode: str | None = Field(
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None,
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description="生成模式。当前异步Chat生成任务一般为 chatapi_async",
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)
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pipeline_stage: str | None = Field(
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None,
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description=(
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"任务流水线阶段，例如：queued=已入队，creating_provider_task=创建第三方任务中，"
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"waiting_remote=等待第三方生成，result_ready=远程结果已就绪，downloading=下载中，done=完成"
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),
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)
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status: str = Field(
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...,
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description="任务状态，例如：generating=生成中，completed=已完成，failed=失败",
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)
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original_prompt: str = Field(..., description="用户原始提示词")
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optimized_prompt: str | None = Field(None, description="优化后的提示词，可能为空")
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duration: int | None = Field(None, description="视频时长，单位秒。图片任务通常为空")
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aspect_ratio: str | None = Field(None, description="视频比例，例如 16:9。图片任务通常为空")
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resolution: str | None = Field(None, description="视频分辨率，例如 480p。图片任务通常为空")
|
||
image_size: str | None = Field(None, description="图片分辨率档位，例如 2K")
|
||
image_proportion: str | None = Field(None, description="图片比例，例如 1:1")
|
||
image_px: str | None = Field(None, description="图片像素尺寸，例如 2048x2048")
|
||
media_references: list[dict] | None = Field(
|
||
None,
|
||
description="参考素材列表。由创建任务时传入的 media_references 转换而来",
|
||
)
|
||
provider_task_id: str | None = Field(None, description="第三方服务商任务ID")
|
||
seedance_task_id: str | None = Field(
|
||
None,
|
||
description="兼容旧前端/旧服务命名的第三方任务ID字段",
|
||
)
|
||
remote_result_url: str | None = Field(
|
||
None,
|
||
description="第三方远程结果地址。当前接口可能隐藏或为空，最终展示优先使用 image_url/video_url",
|
||
)
|
||
image_url: str | None = Field(None, description="最终图片地址。图片任务完成后通常有值")
|
||
video_url: str | None = Field(None, description="最终视频地址。视频任务完成后通常有值")
|
||
video_cover_url: str | None = Field(None, description="视频封面图片地址。视频任务完成且封面截帧成功后通常有值")
|
||
engine_id: str | None = Field(None, description="本次任务使用的生成引擎ID")
|
||
engine_snapshot: dict | None = Field(
|
||
None,
|
||
description="生成任务创建时的引擎快照，用于前端展示当时使用的模型、比例、尺寸等信息",
|
||
)
|
||
credits_cost: float = Field(0.0, description="本次任务总消耗积分")
|
||
text_credits_cost: float = Field(0.0, description="文本优化或文本处理消耗积分")
|
||
text_tokens_used: int = Field(0, description="文本 token 使用量")
|
||
image_tokens_used: int = Field(0, description="图片 token 使用量")
|
||
video_tokens_used: int = Field(0, description="视频 token 使用量")
|
||
retry_count: int = Field(0, description="任务重试次数")
|
||
poll_count: int = Field(0, description="轮询第三方任务状态次数")
|
||
error_message: str | None = Field(None, description="错误信息。成功任务一般为 null")
|
||
created_at: NaiveDatetimeOptional = Field(None, description="任务创建时间")
|
||
generated_at: NaiveDatetimeOptional = Field(None, description="任务生成完成时间")
|
||
|
||
|
||
class GenerationAITaskListOut(BaseModel):
|
||
"""AI生成任务列表响应体。"""
|
||
|
||
model_config = ConfigDict(
|
||
json_schema_extra={
|
||
"example": {
|
||
"total": 1,
|
||
"items": [
|
||
{
|
||
"id": "0019e0a44895b6d837d",
|
||
"source_type": "chat_task",
|
||
"user_id": None,
|
||
"user_name": None,
|
||
"project_id": None,
|
||
"gen_type": "image",
|
||
"generation_mode": "chatapi_async",
|
||
"pipeline_stage": "done",
|
||
"status": "completed",
|
||
"original_prompt": "生成一张赛博朋克风格的城市夜景",
|
||
"optimized_prompt": None,
|
||
"duration": None,
|
||
"aspect_ratio": None,
|
||
"resolution": None,
|
||
"image_size": "2K",
|
||
"image_proportion": "1:1",
|
||
"image_px": "2048x2048",
|
||
"media_references": None,
|
||
"provider_task_id": "provider_task_xxx",
|
||
"seedance_task_id": "provider_task_xxx",
|
||
"remote_result_url": None,
|
||
"image_url": "https://example.com/result.png",
|
||
"video_url": None,
|
||
"video_cover_url": None,
|
||
"engine_id": "engine_xxx",
|
||
"engine_snapshot": {},
|
||
"credits_cost": 10.0,
|
||
"text_credits_cost": 0.0,
|
||
"text_tokens_used": 0,
|
||
"image_tokens_used": 0,
|
||
"video_tokens_used": 0,
|
||
"retry_count": 0,
|
||
"poll_count": 3,
|
||
"error_message": None,
|
||
"created_at": "2026-05-27T10:12:00",
|
||
"generated_at": "2026-05-27T10:15:30",
|
||
}
|
||
],
|
||
}
|
||
}
|
||
)
|
||
|
||
total: int = Field(..., description="符合筛选条件的任务总数")
|
||
items: list[GenerationAITaskOut] = Field(
|
||
default_factory=list,
|
||
description="当前分页的任务列表",
|
||
)
|
||
|
||
|
||
|
||
|
||
class GenerationAITaskDeleteOut(BaseModel):
|
||
"""AI生成任务删除响应体。"""
|
||
|
||
model_config = ConfigDict(
|
||
json_schema_extra={
|
||
"example": {
|
||
"message": "任务已删除",
|
||
"task_id": "0019e0a44895b6d837d",
|
||
"deleted": True,
|
||
"freed_size_bytes": 123456,
|
||
}
|
||
}
|
||
)
|
||
|
||
message: str = Field(..., description="操作结果提示信息")
|
||
task_id: str = Field(..., description="被软删除的AI生成任务ID")
|
||
deleted: bool = Field(..., description="是否已完成软删除")
|
||
freed_size_bytes: int = Field(0, description="本次软删联动释放的有效资源空间字节数")
|
||
|
||
|
||
class GenerationAIHistoryBatchDeleteRequest(BaseModel):
|
||
"""素材云历史批量删除请求体。"""
|
||
|
||
model_config = ConfigDict(
|
||
json_schema_extra={
|
||
"example": {
|
||
"history_source": "shot_replicate",
|
||
"ids": ["shot_segment_id_1", "shot_segment_id_2"],
|
||
}
|
||
}
|
||
)
|
||
|
||
history_source: str = Field(
|
||
...,
|
||
description=(
|
||
"素材云历史来源。"
|
||
"generation_record=项目生成，chat_task=AI创作，"
|
||
"hot_opening_replicate=爆款开头复刻，shot_replicate=拆镜复刻。"
|
||
"注意：项目生成/AI创作传记录ID；爆款开头复刻传 module_project_id；拆镜复刻传 shot_segment_id。"
|
||
),
|
||
examples=["shot_replicate"],
|
||
)
|
||
ids: list[str] = Field(
|
||
...,
|
||
min_length=1,
|
||
max_length=30,
|
||
description="需要删除的ID数组，最多30个；不允许重复或空字符串",
|
||
examples=[["shot_segment_id_1", "shot_segment_id_2"]],
|
||
)
|
||
|
||
@field_validator("history_source")
|
||
@classmethod
|
||
def validate_history_source(cls, value: str) -> str:
|
||
try:
|
||
return normalize_generation_history_source(value).value
|
||
except ValueError as exc:
|
||
raise ValueError("history_source 不支持") from exc
|
||
|
||
@field_validator("ids")
|
||
@classmethod
|
||
def validate_ids(cls, values: list[str]) -> list[str]:
|
||
normalized = [str(item).strip() for item in values if str(item or "").strip()]
|
||
if not normalized:
|
||
raise ValueError("ids 不能为空")
|
||
if len(normalized) > 30:
|
||
raise ValueError("单次最多删除30条记录")
|
||
if len(normalized) != len(set(normalized)):
|
||
raise ValueError("ids 不允许重复")
|
||
return normalized
|
||
|
||
|
||
class GenerationAIHistoryBatchDeleteOut(BaseModel):
|
||
"""素材云历史批量删除响应体。"""
|
||
|
||
model_config = ConfigDict(
|
||
json_schema_extra={
|
||
"example": {
|
||
"message": "删除成功",
|
||
"history_source": "shot_replicate",
|
||
"history_source_label": "拆镜复刻",
|
||
"requested_count": 2,
|
||
"deleted_count": 2,
|
||
"requested_ids": ["shot_segment_id_1", "shot_segment_id_2"],
|
||
"deleted_ids": ["shot_segment_id_1", "shot_segment_id_2"],
|
||
"generation_record_ids": [],
|
||
"chat_task_ids": ["chat_task_id_1", "chat_task_id_2"],
|
||
"module_project_ids": ["module_project_id_1", "module_project_id_2"],
|
||
"shot_segment_ids": ["shot_segment_id_1", "shot_segment_id_2"],
|
||
"deleted": True,
|
||
"freed_size_bytes": 123456,
|
||
}
|
||
}
|
||
)
|
||
|
||
message: str = Field(..., description="操作结果提示信息")
|
||
history_source: str = Field(..., description="素材云历史来源")
|
||
history_source_label: str | None = Field(None, description="素材云历史来源中文名称")
|
||
requested_count: int = Field(..., description="请求删除数量")
|
||
deleted_count: int = Field(..., description="实际删除数量")
|
||
requested_ids: list[str] = Field(default_factory=list, description="请求删除的原始ID列表")
|
||
deleted_ids: list[str] = Field(default_factory=list, description="已删除的原始ID列表")
|
||
generation_record_ids: list[str] = Field(default_factory=list, description="联动软删除的 GenerationRecord ID")
|
||
chat_task_ids: list[str] = Field(default_factory=list, description="联动软删除的 ChatGenerationTask ID")
|
||
module_project_ids: list[str] = Field(default_factory=list, description="联动软删除的 ModuleGenerationProject ID")
|
||
shot_segment_ids: list[str] = Field(default_factory=list, description="联动软删除的 ShotReplicateSegment ID")
|
||
deleted: bool = Field(..., description="是否已完成软删除")
|
||
freed_size_bytes: int = Field(0, description="本次软删联动释放的有效资源空间字节数")
|
||
|
||
|
||
class GenerationAIRetryOut(BaseModel):
|
||
"""AI生成任务重试响应体。"""
|
||
|
||
model_config = ConfigDict(
|
||
json_schema_extra={
|
||
"example": {
|
||
"id": "0019e0a44895b6d837d",
|
||
"status": "generating",
|
||
"pipeline_stage": "queued",
|
||
"message": "任务已重新投递",
|
||
}
|
||
}
|
||
)
|
||
|
||
id: str = Field(..., description="被重试的任务ID")
|
||
status: str = Field(..., description="重试后的任务状态")
|
||
pipeline_stage: str | None = Field(None, description="重试后的任务流水线阶段")
|
||
message: str = Field(..., description="操作结果提示信息")
|
||
|
||
|
||
class GenerationAIRecordHistoryItemOut(BaseModel):
|
||
"""旧 generation_records 历史记录详情响应体。"""
|
||
|
||
model_config = ConfigDict(
|
||
json_schema_extra={
|
||
"example": {
|
||
"id": "0019e0a44895b6d837d",
|
||
"source_type": "generation_record",
|
||
"project_id": "project_xxx",
|
||
"project_name": "默认项目",
|
||
"generated_resource_id": "generated_resource_xxx",
|
||
"gen_type": "image",
|
||
"generation_mode": "generation_record",
|
||
"pipeline_stage": None,
|
||
"status": "completed",
|
||
"original_prompt": "生成一张赛博朋克风格的城市夜景",
|
||
"optimized_prompt": "赛博朋克城市夜景，霓虹灯，电影感，高细节",
|
||
"duration": None,
|
||
"aspect_ratio": None,
|
||
"resolution": None,
|
||
"image_size": "2K",
|
||
"image_proportion": "1:1",
|
||
"image_px": "2048x2048",
|
||
"references": None,
|
||
"media_references": None,
|
||
"provider_task_id": "provider_task_xxx",
|
||
"seedance_task_id": "provider_task_xxx",
|
||
"remote_result_url": None,
|
||
"image_url": "https://example.com/result.png",
|
||
"video_url": None,
|
||
"video_cover_url": None,
|
||
"engine_id": None,
|
||
"engine_snapshot": None,
|
||
"credits_cost": 10.0,
|
||
"text_credits_cost": 1.0,
|
||
"text_tokens_used": 100,
|
||
"image_tokens_used": 0,
|
||
"video_tokens_used": 0,
|
||
"retry_count": 0,
|
||
"poll_count": 0,
|
||
"error_message": None,
|
||
"created_at": "2026-05-27T10:12:00",
|
||
"generated_at": "2026-05-27T10:15:30",
|
||
}
|
||
}
|
||
)
|
||
|
||
id: str = Field(..., description="旧生成记录ID")
|
||
source_type: Literal["generation_record"] = Field(
|
||
"generation_record",
|
||
description="历史记录来源固定为 generation_record，用于和 chat_task 历史区分",
|
||
)
|
||
project_id: str | None = Field(None, description="旧项目ID，来源于 generation_records.project_id")
|
||
project_name: str | None = Field(None, description="旧项目名称，来源于 projects.name；项目不存在时为空")
|
||
generated_resource_id: str | None = Field(
|
||
None,
|
||
description="关联的生成资源账本ID，来源于 generated_resources.id；历史脏数据可能为空",
|
||
)
|
||
file_name: str | None = Field(None, description="文件名，来源于 generated_resources.file_name")
|
||
history_source: str | None = Field(
|
||
None,
|
||
description=(
|
||
"素材云历史来源：chat_task=AI创作，generation_record=项目生成，"
|
||
"hot_opening_replicate=爆款开头复刻，shot_replicate=拆镜复刻"
|
||
),
|
||
)
|
||
history_source_label: str | None = Field(None, description="素材云历史来源中文名称")
|
||
module_project_id: str | None = Field(None, description="模块生成项目ID；非模块生成历史返回 null")
|
||
module_project_title: str | None = Field(None, description="模块生成项目标题；非模块生成历史返回 null")
|
||
module_step_id: str | None = Field(None, description="模块生成步骤ID；非模块生成历史返回 null")
|
||
module_step_code: str | None = Field(None, description="模块生成步骤编码；非模块生成历史返回 null")
|
||
hot_opening_project_id: str | None = Field(None, description="爆款开头复刻项目ID；非爆款开头复刻返回 null")
|
||
hot_opening_project_title: str | None = Field(None, description="爆款开头复刻项目标题；非爆款开头复刻返回 null")
|
||
shot_replicate_project_id: str | None = Field(None, description="拆镜复刻项目ID；非拆镜复刻返回 null")
|
||
shot_replicate_project_title: str | None = Field(None, description="拆镜复刻项目标题；非拆镜复刻返回 null")
|
||
shot_task_set_id: str | None = Field(None, description="拆镜复刻总任务ID；非拆镜复刻返回 null")
|
||
shot_segment_id: str | None = Field(None, description="拆镜复刻片段ID；非拆镜复刻返回 null")
|
||
shot_segment_index: int | None = Field(None, description="拆镜复刻片段序号；非拆镜复刻返回 null")
|
||
shot_segment_label: str | None = Field(None, description="拆镜复刻片段展示名称，例如：拆镜复刻片段1；非拆镜复刻返回 null")
|
||
gen_type: str = Field(..., description="生成类型：image=图片，video=视频")
|
||
generation_mode: str | None = Field(
|
||
"generation_record",
|
||
description="兼容新历史结构的生成模式字段。旧表历史固定返回 generation_record",
|
||
)
|
||
pipeline_stage: str | None = Field(
|
||
None,
|
||
description="兼容新历史结构的流水线阶段字段。旧 generation_records 无该字段，固定为 null",
|
||
)
|
||
status: str = Field(..., description="记录状态，例如 completed=已完成，failed=失败")
|
||
original_prompt: str = Field(..., description="用户原始提示词")
|
||
optimized_prompt: str | None = Field(None, description="优化后的提示词，可能为空")
|
||
duration: int | None = Field(None, description="视频时长，单位秒。图片记录通常为空")
|
||
aspect_ratio: str | None = Field(None, description="视频比例，例如 16:9。图片记录通常为空")
|
||
resolution: str | None = Field(None, description="视频分辨率，例如 480p。图片记录通常为空")
|
||
image_size: str | None = Field(None, description="图片分辨率档位，例如 2K")
|
||
image_proportion: str | None = Field(None, description="图片比例，例如 1:1")
|
||
image_px: str | None = Field(None, description="图片像素尺寸，例如 2048x2048")
|
||
references: list[dict] | None = Field(
|
||
None,
|
||
description="旧接口字段名，来源于 generation_records.media_references 解析后的参考素材列表",
|
||
)
|
||
media_references: list[dict] | None = Field(
|
||
None,
|
||
description="兼容新历史结构字段名，和 references 内容一致",
|
||
)
|
||
provider_task_id: str | None = Field(None, description="第三方服务商任务ID，旧表使用 seedance_task_id 兼容填充")
|
||
seedance_task_id: str | None = Field(None, description="旧服务命名的第三方任务ID字段")
|
||
remote_result_url: str | None = Field(
|
||
None,
|
||
description="第三方远程结果地址。旧 generation_records 未保存该字段，固定为 null",
|
||
)
|
||
image_url: str | None = Field(None, description="最终图片地址。图片记录完成后通常有值")
|
||
video_url: str | None = Field(None, description="最终视频地址。视频记录完成后通常有值")
|
||
video_cover_url: str | None = Field(None, description="视频封面图片地址。视频记录完成且封面截帧成功后通常有值")
|
||
engine_id: str | None = Field(
|
||
None,
|
||
description="兼容新历史结构的引擎ID字段。旧 generation_records 未保存该字段，固定为 null",
|
||
)
|
||
engine_snapshot: dict | None = Field(
|
||
None,
|
||
description="兼容新历史结构的引擎快照字段。旧 generation_records 未保存该字段，固定为 null",
|
||
)
|
||
credits_cost: float = Field(0.0, description="本次记录总消耗积分")
|
||
text_credits_cost: float = Field(0.0, description="文本优化或文本处理消耗积分")
|
||
text_tokens_used: int = Field(0, description="文本 token 使用量")
|
||
image_tokens_used: int = Field(0, description="图片 token 使用量")
|
||
video_tokens_used: int = Field(0, description="视频 token 使用量")
|
||
retry_count: int = Field(
|
||
0,
|
||
description="兼容新历史结构的重试次数字段。旧 generation_records 未保存该字段，固定为 0",
|
||
)
|
||
poll_count: int = Field(
|
||
0,
|
||
description="兼容新历史结构的轮询次数字段。旧 generation_records 未保存该字段，固定为 0",
|
||
)
|
||
error_message: str | None = Field(None, description="错误信息。成功记录一般为 null")
|
||
created_at: NaiveDatetimeOptional = Field(None, description="记录创建时间")
|
||
generated_at: NaiveDatetimeOptional = Field(None, description="生成完成时间")
|
||
|
||
|
||
GenerationAIHistoryItemOut = Annotated[
|
||
GenerationAITaskOut | GenerationAIRecordHistoryItemOut,
|
||
Field(discriminator="source_type"),
|
||
]
|
||
|
||
|
||
class GenerationAIHistoryDayGroupOut(BaseModel):
|
||
"""AI生成历史按天分组响应项。"""
|
||
|
||
model_config = ConfigDict(
|
||
json_schema_extra={
|
||
"example": {
|
||
"generated_date": "2026-05-27",
|
||
"total": 18,
|
||
"items": [],
|
||
}
|
||
}
|
||
)
|
||
|
||
generated_date: str = Field(..., description="生成日期，格式：YYYY-MM-DD")
|
||
total: int = Field(..., description="当前生成日期下的生成成功记录总数")
|
||
items: list[GenerationAIHistoryItemOut] = Field(
|
||
default_factory=list,
|
||
description=(
|
||
"当前生成日期下倒序前10条生成记录详情。"
|
||
"history_source=chat_task/hot_opening_replicate/shot_replicate 时 item 为 GenerationAITaskOut；"
|
||
"history_source=generation_record 时 item 为 GenerationAIRecordHistoryItemOut"
|
||
),
|
||
)
|
||
|
||
|
||
class GenerationAIHistoryGroupedOut(BaseModel):
|
||
"""AI生成历史日期分组列表响应体。"""
|
||
|
||
model_config = ConfigDict(
|
||
json_schema_extra={
|
||
"example": {
|
||
"total_days": 2,
|
||
"page": 1,
|
||
"page_size": 10,
|
||
"groups": [
|
||
{
|
||
"generated_date": "2026-05-27",
|
||
"total": 18,
|
||
"items": [],
|
||
},
|
||
{
|
||
"generated_date": "2026-05-26",
|
||
"total": 6,
|
||
"items": [],
|
||
},
|
||
],
|
||
}
|
||
}
|
||
)
|
||
|
||
total_days: int = Field(..., description="当前生成类型下，用户一共有多少个生成日期分组")
|
||
page: int = Field(..., description="当前日期分组分页页码")
|
||
page_size: int = Field(..., description="当前每页返回的日期分组数量，最大10")
|
||
groups: list[GenerationAIHistoryDayGroupOut] = Field(
|
||
default_factory=list,
|
||
description="按生成日期倒序排列的历史记录分组列表",
|
||
)
|
||
|
||
|
||
class GenerationAIHistoryDayItemsOut(BaseModel):
|
||
"""指定日期下AI生成历史分页响应体。"""
|
||
|
||
model_config = ConfigDict(
|
||
json_schema_extra={
|
||
"example": {
|
||
"generated_date": "2026-05-27",
|
||
"total": 18,
|
||
"page": 2,
|
||
"page_size": 10,
|
||
"items": [],
|
||
}
|
||
}
|
||
)
|
||
|
||
generated_date: str = Field(..., description="当前查询的生成日期，格式：YYYY-MM-DD")
|
||
total: int = Field(..., description="当前日期下的生成成功记录总数")
|
||
page: int = Field(..., description="当前日期下的记录分页页码")
|
||
page_size: int = Field(..., description="当前日期下每页返回的生成记录数量")
|
||
items: list[GenerationAIHistoryItemOut] = Field(
|
||
default_factory=list,
|
||
description=(
|
||
"当前日期下的生成记录详情列表，按 generated_at 倒序排列。"
|
||
"history_source=chat_task/hot_opening_replicate/shot_replicate 时 item 为 GenerationAITaskOut；"
|
||
"history_source=generation_record 时 item 为 GenerationAIRecordHistoryItemOut"
|
||
),
|
||
) |