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video-gen/video-gen-api/app/schemas/hot_opening_replicate.py
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2026-07-09 09:10:49 +08:00

513 lines
30 KiB
Python

from __future__ import annotations
from typing import Any
from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
from app.schemas.common import NaiveDatetimeOptional
HOT_OPENING_PROJECT_STATUS_DESCRIPTIONS: dict[str, str] = {
"pending": "已创建但未进入流程",
"waiting_user": "等待用户手动触发下一步",
"processing": "当前有步骤处理中",
"completed": "总任务完成",
"failed": "总任务失败",
"cancelled": "总任务取消",
}
HOT_OPENING_STEP_STATUS_DESCRIPTIONS: dict[str, str] = {
"pending": "子任务待处理",
"waiting_user": "等待用户确认或触发",
"processing": "子任务处理中",
"completed": "子任务完成",
"failed": "子任务失败",
"cancelled": "子任务取消",
}
HOT_OPENING_STEP_DESCRIPTIONS: list[dict[str, Any]] = [
{"step_index": 1, "step_code": "material_input", "name": "素材输入"},
{"step_index": 2, "step_code": "image_prompt_optimize", "name": "图片 AI 提词"},
{"step_index": 3, "step_code": "image_generate", "name": "图片生成"},
{"step_index": 4, "step_code": "video_prompt_optimize", "name": "视频 AI 提词 JSON schema"},
{"step_index": 5, "step_code": "video_generate", "name": "视频生成"},
]
HOT_OPENING_STEP_IO_SCHEMA_VERSION = "hot_opening_step_io_v1"
HOT_OPENING_STEP_IO_EXAMPLES: dict[str, dict[str, Any]] = {
"material_input": {
"input_json": {
"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
"step_code": "material_input",
"source": {"source_step_id": None, "parent_step_id": None},
"payload": {
"material_video_url": "https://example.com/source.mp4",
"material_image_url": "https://example.com/product.png",
"material_video_resource_id": "0019...",
"material_image_resource_id": "0019...",
"material_video_duration_seconds": 8.2,
"source_project_name": "参考素材项目名称",
"target_project_name": "新项目名称",
"core_content_point": "50字以内核心内容点",
},
"context": {},
},
"output_json": {
"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
"step_code": "material_input",
"status": "completed",
"payload": {},
"result": {"accepted": True, "message": "素材输入已提交", "next_step_code": "image_prompt_optimize"},
"usage": {},
"error": {},
},
},
"image_prompt_optimize": {
"input_json": {
"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
"step_code": "image_prompt_optimize",
"source": {"source_step_id": "第1步素材输入ID", "parent_step_id": "第1步素材输入ID"},
"payload": {"source_step_id": "第1步素材输入ID"},
"context": {},
},
"output_json": {
"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
"step_code": "image_prompt_optimize",
"status": "completed",
"payload": {
"optimized_prompt": "图片生成提示词",
"prompt": "兼容字段,同 optimized_prompt",
"original_prompt": "后端拼接的图片提词原始需求",
"references": [{"type": "video|image", "url": "...", "name": "..."}],
},
"result": {},
"usage": {
"input_tokens": 0,
"output_tokens": 0,
"total_tokens": 0,
"text_credits_cost": 0,
"credit_biz_key": "module_generation_step:{step_id}:attempt:1:text_prompt:charge",
},
"error": {},
},
},
"image_generate": {
"input_json": {
"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
"step_code": "image_generate",
"source": {"source_step_id": "第2步图片提词ID", "parent_step_id": "第2步图片提词ID"},
"payload": {
"engine_id": "图片引擎ID",
"params": {"image_size": "2K", "image_proportion": "1:1", "image_px": "2048x2048"},
"prompt": "图片生成提示词",
"media_references": [{"type": "image", "url": "新产品图片", "name": "新产品图片"}],
},
"context": {},
},
"output_json": {
"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
"step_code": "image_generate",
"status": "completed",
"payload": {},
"result": {"result_image_url": "/generate/images/xxx.png", "chat_task_id": "ChatGenerationTask ID"},
"usage": {},
"error": {},
},
},
"video_prompt_optimize": {
"input_json": {
"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
"step_code": "video_prompt_optimize",
"source": {"source_step_id": "第3步图片生成ID", "parent_step_id": "第3步图片生成ID"},
"payload": {
"source_step_id": "第3步图片生成ID",
"video_config": {"engine_id": "视频引擎ID", "duration": 8, "aspect_ratio": "9:16", "resolution": "1080p"},
"target_platform": "抖音",
},
"context": {},
},
"output_json": {
"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
"step_code": "video_prompt_optimize",
"status": "completed",
"payload": {
"prompt_schema": {"任务基础信息": {}, "最终提示词": {}},
"final_prompt": "展示用最终视频提示词",
"params_used_for_prompt": {"duration": 8, "aspect_ratio": "9:16", "resolution": "1080p"},
"target_platform": "抖音",
},
"result": {},
"usage": {
"input_tokens": 0,
"output_tokens": 0,
"total_tokens": 0,
"text_credits_cost": 0,
"credit_biz_key": "module_generation_step:{step_id}:attempt:1:text_prompt:charge",
},
"error": {},
},
},
"video_generate": {
"input_json": {
"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
"step_code": "video_generate",
"source": {"source_step_id": "第4步视频提词ID", "parent_step_id": "第4步视频提词ID"},
"payload": {
"engine_id": "视频引擎ID",
"params": {"duration": 8, "aspect_ratio": "9:16", "resolution": "1080p"},
"prompt_schema": {"任务基础信息": {}, "最终提示词": {}},
"final_prompt": "展示用最终提示词",
"media_references": [{"type": "image", "url": "第3步生成图片", "name": "新项目图片"}],
},
"context": {},
},
"output_json": {
"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
"step_code": "video_generate",
"status": "completed",
"payload": {},
"result": {
"result_video_url": "/generate/videos/xxx.mp4",
"result_video_cover_url": "/generate/covers/xxx.jpg",
"chat_task_id": "ChatGenerationTask ID",
},
"usage": {},
"error": {},
},
},
}
class HotOpeningTaskCreate(BaseModel):
"""创建爆款开头复刻总任务项目请求体。"""
model_config = ConfigDict(
json_schema_extra={
"example": {
"material_video_url": "https://example.com/source.mp4",
"material_image_url": "https://example.com/product.png",
"material_video_resource_id": "0019...",
"material_image_resource_id": "0019...",
"material_video_duration_seconds": 8.2,
"source_project_name": "参考素材项目名称",
"target_project_name": "新项目名称",
"core_content_point": "突出产品能帮助用户认识附近新朋友",
"idempotency_key": "frontend-submit-uuid-001",
}
}
)
material_video_url: str = Field(..., min_length=1, description="素材视频链接,参考素材,1份。由项目已有上传接口返回,本接口不负责上传,不做后端素材校验")
material_image_url: str = Field(..., min_length=1, description="素材图片链接,新产品图片,1份。由项目已有上传接口返回,本接口不负责上传,不做后端素材校验")
material_video_resource_id: str | None = Field(None, max_length=32, description="可选,模块上传接口返回的视频 UploadResource.id;创建项目后用于绑定资源")
material_image_resource_id: str | None = Field(None, max_length=32, description="可选,模块上传接口返回的图片 UploadResource.id;创建项目后用于绑定资源")
material_video_duration_seconds: float | None = Field(None, gt=0, description="可选,前端识别的视频秒数,用于上传资源元数据兜底")
material_image_duration_seconds: float | None = Field(None, gt=0, description="兼容字段,图片一般为空")
source_project_name: str = Field(..., min_length=1, max_length=20, description="视频素材内容项目名称")
target_project_name: str = Field(..., min_length=1, max_length=20, description="生成项目名称")
core_content_point: str = Field(..., min_length=1, max_length=50, description="生成的项目核心内容点,最多50字")
idempotency_key: str | None = Field(None, max_length=64, description="创建总任务幂等键。只用于 module_generation_projects,不用于 ChatGenerationTask")
@field_validator("material_video_url", "material_image_url", "source_project_name", "target_project_name", "core_content_point")
@classmethod
def _strip_required(cls, value: str) -> str:
value = str(value or "").strip()
if not value:
raise ValueError("字段不能为空")
return value
class HotOpeningMaterialUpdateRequest(BaseModel):
"""修改爆款开头复刻第1步素材输入请求体。"""
model_config = ConfigDict(
json_schema_extra={
"example": {
"material_video_url": "https://example.com/new-source.mp4",
"material_image_url": "https://example.com/new-product.png",
"source_project_name": "新的参考素材项目名称",
"target_project_name": "新的生成项目名称",
"core_content_point": "新的50字以内核心内容点",
}
}
)
material_video_url: str | None = Field(None, min_length=1, description="素材视频链接,未传则沿用旧值")
material_image_url: str | None = Field(None, min_length=1, description="素材图片链接,未传则沿用旧值")
material_video_resource_id: str | None = Field(None, max_length=32, description="可选,模块上传接口返回的视频 UploadResource.id")
material_image_resource_id: str | None = Field(None, max_length=32, description="可选,模块上传接口返回的图片 UploadResource.id")
material_video_duration_seconds: float | None = Field(None, gt=0, description="可选,前端识别的视频秒数")
source_project_name: str | None = Field(None, min_length=1, max_length=20, description="视频素材内容项目名称,未传则沿用旧值")
target_project_name: str | None = Field(None, min_length=1, max_length=20, description="生成项目名称,未传则沿用旧值")
core_content_point: str | None = Field(None, min_length=1, max_length=50, description="生成项目核心内容点,最多50字,未传则沿用旧值")
@field_validator("material_video_url", "material_image_url", "source_project_name", "target_project_name", "core_content_point", "material_video_resource_id", "material_image_resource_id", mode="before")
@classmethod
def _strip_optional(cls, value: str | None) -> str | None:
if value is None:
return None
value = str(value).strip()
if not value:
raise ValueError("字段不能为空字符串")
return value
@model_validator(mode="after")
def _require_at_least_one(self) -> "HotOpeningMaterialUpdateRequest":
if not any(getattr(self, field) is not None for field in ("material_video_url", "material_image_url", "source_project_name", "target_project_name", "core_content_point", "material_video_resource_id", "material_image_resource_id")):
raise ValueError("至少需要传入一个需要修改的字段")
return self
class HotOpeningStepUpdate(BaseModel):
"""修改爆款开头复刻子任务请求体。"""
material_video_url: str | None = Field(None, description="修改第1步素材视频链接")
material_image_url: str | None = Field(None, description="修改第1步素材图片链接")
source_project_name: str | None = Field(None, max_length=20, description="修改第1步视频素材内容项目名称")
target_project_name: str | None = Field(None, max_length=20, description="修改第1步生成项目名称")
core_content_point: str | None = Field(None, max_length=50, description="修改第1步生成项目核心内容点,最多50字")
prompt: str | None = Field(None, description="修改第2步图片提词或第4步视频最终提词")
prompt_schema: dict[str, Any] | None = Field(None, description="修改第4步视频提词 JSON schema。只对视频提词步骤有意义")
input_json: dict[str, Any] | None = Field(None, description="高级用法:合并修改当前步骤 input_json.payload")
output_json: dict[str, Any] | None = Field(None, description="高级用法:合并修改当前步骤 output_json.payload")
class HotOpeningImagePromptUpdateRequest(BaseModel):
"""直接修改第2步图片 AI 优化提词请求体。
本接口不调用 AI、不扣积分;保存后会软删除第3、4、5步当前有效任务。
"""
model_config = ConfigDict(
extra="ignore",
json_schema_extra={"example": {"prompt": "用户手动修改后的图片生成提示词"}},
)
prompt: str = Field(..., min_length=1, description="用户手动修改后的图片生成提示词,不能为空")
@field_validator("prompt", mode="before")
@classmethod
def _strip_prompt(cls, value: str) -> str:
value = str(value or "").strip()
if not value:
raise ValueError("图片提示词不能为空")
return value
class HotOpeningVideoPromptSchemaUpdateRequest(BaseModel):
"""修改第4步视频 AI 提词 JSON schema 请求体。
前端提交的 prompt_schema 只作为 patch:服务端会锁定视频时长、比例、清晰度、帧率、推荐分辨率、
动作/镜头/动态时间规划数组长度和时间段、输出规格限制、质量控制、合规控制、schema_version、schema_usage。
最终提示词允许修改,但保存前会清洗视频参数。
"""
model_config = ConfigDict(
extra="ignore",
json_schema_extra={
"example": {
"prompt_schema": {
"业务属性": {"产品名称": "脱单交友APP", "行动引导": "立即下载"},
"最终提示词": {"主提示词": "脱单交友APP推广短视频,突出认识附近新朋友和高效匹配"},
}
}
},
)
prompt_schema: dict[str, Any] = Field(..., description="前端修改后的视频提词 JSON schema。后端只按白名单回填允许修改字段")
@field_validator("prompt_schema")
@classmethod
def _validate_schema(cls, value: dict[str, Any]) -> dict[str, Any]:
if not isinstance(value, dict) or not value:
raise ValueError("prompt_schema 必须是非空 JSON 对象")
return value
class HotOpeningGenerateImagePromptRequest(BaseModel):
"""手动生成第2步图片 AI 提词请求体。当前无需请求参数。"""
model_config = ConfigDict(extra="ignore")
class HotOpeningGenerateImageRequest(BaseModel):
"""根据图片提词生成新项目图片请求体。
ChatGenerationTask.idempotency_key 由后端自动生成,接口不再接收前端幂等键。
"""
model_config = ConfigDict(
extra="ignore",
json_schema_extra={"example": {"engine_id": "image_engine_xxx", "image_size": "2K", "image_proportion": "1:1", "image_px": "2048x2048"}},
)
engine_id: str | None = Field(None, description="图片生成引擎ID。为空则使用当前启用且优先级最高的图片引擎")
image_size: str | None = Field(None, description="图片分辨率档位,例如 1K、2K。具体可选值来自图片引擎配置接口;为空使用引擎默认值")
image_proportion: str | None = Field(None, description="图片比例,例如 1:1、16:9、9:16。具体可选值来自图片引擎配置接口;为空使用默认值")
image_px: str | None = Field(None, description="图片像素尺寸,例如 1024x1024、2048x2048。具体可选值来自图片引擎配置接口;为空时按引擎支持尺寸自动匹配")
class HotOpeningGenerateVideoPromptRequest(BaseModel):
"""手动生成第4步视频 AI 提词请求体。
视频时长、比例、分辨率集中在本步骤确定;第5步生成视频只选择视频引擎。
"""
model_config = ConfigDict(
extra="ignore",
json_schema_extra={"example": {"engine_id": "video_engine_xxx", "duration": 8, "aspect_ratio": "9:16", "resolution": "1080p", "target_platform": "抖音"}},
)
engine_id: str | None = Field(None, description="视频引擎ID。用于读取该引擎支持的视频时长、比例、分辨率配置;为空使用最高优先级启用引擎")
duration: int | None = Field(None, ge=1, description="希望用于视频提词规划的视频时长,单位秒。具体可选值来自视频引擎 supported_durations;为空时优先使用 HOT_OPENING_DEFAULT_VIDEO_DURATION")
aspect_ratio: str | None = Field(None, description="希望用于视频提词规划的视频比例,例如 9:16、16:9、1:1。具体可选值来自视频引擎 supported_ratios;为空时优先使用 HOT_OPENING_DEFAULT_VIDEO_RATIO")
resolution: str | None = Field(None, description="希望用于视频提词规划的视频分辨率,例如 480p、720p、1080p。具体可选值来自视频引擎 supported_resolutions;为空时优先使用 HOT_OPENING_DEFAULT_VIDEO_RESOLUTION")
target_platform: str | None = Field(None, max_length=64, description="目标平台,例如抖音/快手/小红书。为空时使用 HOT_OPENING_DEFAULT_TARGET_PLATFORM")
class HotOpeningGenerateVideoRequest(BaseModel):
"""根据视频提词生成最终视频请求体。
只选择视频生成引擎。duration / aspect_ratio / resolution 从第4步视频提词优化结果读取。
ChatGenerationTask.original_prompt / optimized_prompt 都写入第4步生成的 prompt_schema JSON 字符串。
"""
model_config = ConfigDict(extra="ignore", json_schema_extra={"example": {"engine_id": "video_engine_xxx"}})
engine_id: str | None = Field(None, description="视频生成引擎ID。为空优先使用第4步视频提词时选择的 engine_id,再为空使用最高优先级启用视频引擎")
class HotOpeningStepOut(BaseModel):
id: str = Field(..., description="子任务ID")
project_id: str = Field(..., description="总任务项目ID,即 module_generation_projects.id")
module: str = Field(..., description="模块标识,例如 hot_opening_replicate")
step_index: int = Field(..., description="步骤序号:1素材输入、2图片提词、3图片生成、4视频提词、5视频生成")
step_code: str = Field(..., description="步骤编码:material_input/image_prompt_optimize/image_generate/video_prompt_optimize/video_generate")
status: str = Field(..., description="步骤状态:pending=待处理,waiting_user=等待用户操作,processing=处理中,completed=完成,failed=失败,cancelled=取消")
version: int = Field(..., description="步骤版本号。重新生成或修改上游步骤后 version+1")
is_current: bool = Field(..., description="是否当前有效步骤。旧步骤会软删除且 is_current=false")
parent_step_id: str | None = Field(None, description="上一个步骤ID")
source_step_id: str | None = Field(None, description="当前步骤基于哪个上游步骤生成")
chat_task_id: str | None = Field(None, description="关联的 ChatGenerationTask ID。第3步图片生成、第5步视频生成有值")
input: dict[str, Any] | None = Field(None, description=f"步骤输入 JSON,统一 schema_version={HOT_OPENING_STEP_IO_SCHEMA_VERSION}")
output: dict[str, Any] | None = Field(None, description=f"步骤输出 JSON,统一 schema_version={HOT_OPENING_STEP_IO_SCHEMA_VERSION}")
error_message: str | None = Field(None, description="步骤错误信息")
created_at: NaiveDatetimeOptional = Field(None, description="创建时间")
updated_at: NaiveDatetimeOptional = Field(None, description="更新时间")
completed_at: NaiveDatetimeOptional = Field(None, description="完成时间")
class HotOpeningMaterialOut(BaseModel):
material_step_id: str | None = Field(None, description="第1步素材输入子任务ID")
material_video_url: str | None = Field(None, description="素材视频链接")
material_image_url: str | None = Field(None, description="素材图片链接")
source_project_name: str | None = Field(None, description="视频素材内容项目名称")
target_project_name: str | None = Field(None, description="生成项目名称")
core_content_point: str | None = Field(None, description="生成项目核心内容点")
class HotOpeningImageGenerationOut(BaseModel):
prompt_step_id: str | None = Field(None, description="第2步图片 AI 提词子任务ID")
generate_step_id: str | None = Field(None, description="第3步图片生成子任务ID")
prompt: str | None = Field(None, description="图片优化提词")
engine_id: str | None = Field(None, description="图片生成引擎ID")
engine_name: str | None = Field(None, description="图片生成引擎名称")
params: dict[str, Any] | None = Field(None, description="图片生成参数")
chat_task_id: str | None = Field(None, description="图片生成 ChatGenerationTask ID")
status: str | None = Field(None, description="图片生成状态")
result_image_url: str | None = Field(None, description="新项目图片 URL")
error_message: str | None = Field(None, description="图片生成错误信息")
class HotOpeningVideoGenerationOut(BaseModel):
prompt_step_id: str | None = Field(None, description="第4步视频 AI 提词子任务ID")
generate_step_id: str | None = Field(None, description="第5步视频生成子任务ID")
prompt_schema: dict[str, Any] | None = Field(None, description="视频提词 JSON schema。第5步 ChatGenerationTask 原始提词会使用该 JSON 字符串")
final_prompt: str | None = Field(None, description="视频最终提词,仅用于前端展示")
prompt_params: dict[str, Any] | None = Field(None, description="第4步生成视频提词时使用的视频配置,例如 duration、aspect_ratio、resolution")
schema_config_snapshot: dict[str, Any] | None = Field(None, description="第4步生成视频提词时备份的 VIDEO_SCHEMA 配置快照。修改时按快照判断可编辑字段")
schema_config_source: str | None = Field(None, description="VIDEO_SCHEMA 配置来源:database=后台配置,default=CLIENT_SCHEMA_V1 默认配置")
schema_config_version: str | None = Field(None, description="VIDEO_SCHEMA 配置版本")
schema_config_is_fallback: bool = Field(False, description="是否为接口运行时兼容历史数据临时补齐的默认 VIDEO_SCHEMA 配置。true 表示数据库原始第4步没有 schema_config_snapshot")
engine_id: str | None = Field(None, description="视频生成引擎ID")
engine_name: str | None = Field(None, description="视频生成引擎名称")
params: dict[str, Any] | None = Field(None, description="视频生成实际参数。第5步只传 engine_id,其它参数继承第4步")
chat_task_id: str | None = Field(None, description="视频生成 ChatGenerationTask ID")
status: str | None = Field(None, description="视频生成状态")
result_video_url: str | None = Field(None, description="最终视频 URL")
result_video_cover_url: str | None = Field(None, description="最终视频封面 URL")
error_message: str | None = Field(None, description="视频生成错误信息")
class HotOpeningTaskDetailOut(BaseModel):
id: str = Field(..., description="总任务项目ID。这个ID就是前端项目ID")
project_id: str = Field(..., description="兼容前端命名,等同于 id")
user_id: str | None = Field(None, description="所属用户ID;管理员后台排查使用")
user_name: str | None = Field(None, description="所属用户名;管理员后台排查使用")
module: str = Field(..., description="模块标识,爆款开头复刻固定为 hot_opening_replicate")
title: str | None = Field(None, description="项目标题,默认取生成项目名称")
status: str = Field(..., description="总任务状态:pending=已创建,waiting_user=等待用户操作,processing=处理中,completed=完成,failed=失败,cancelled=取消")
current_step_code: str | None = Field(None, description="当前所处步骤编码")
final_image_url: str | None = Field(None, description="最终新项目图片 URL")
final_video_url: str | None = Field(None, description="最终视频 URL")
final_video_cover_url: str | None = Field(None, description="最终视频封面 URL")
error_message: str | None = Field(None, description="总任务错误信息")
material: HotOpeningMaterialOut = Field(default_factory=HotOpeningMaterialOut, description="素材和项目描述信息")
image_generation: HotOpeningImageGenerationOut = Field(default_factory=HotOpeningImageGenerationOut, description="图片提词、图片引擎参数和图片结果")
video_generation: HotOpeningVideoGenerationOut = Field(default_factory=HotOpeningVideoGenerationOut, description="视频提词、视频引擎参数和视频结果")
steps: list[HotOpeningStepOut] = Field(default_factory=list, description="当前有效子任务列表")
created_at: NaiveDatetimeOptional = Field(None, description="创建时间")
updated_at: NaiveDatetimeOptional = Field(None, description="更新时间")
completed_at: NaiveDatetimeOptional = Field(None, description="完成时间")
class HotOpeningTaskListItemOut(BaseModel):
id: str = Field(..., description="总任务项目ID。这个ID就是前端项目ID")
project_id: str = Field(..., description="兼容前端命名,等同于 id")
user_id: str | None = Field(None, description="所属用户ID;管理员后台排查使用")
user_name: str | None = Field(None, description="所属用户名;管理员后台排查使用")
module: str = Field(..., description="模块标识")
title: str | None = Field(None, description="项目标题")
status: str = Field(..., description="总任务状态:pending=已创建,waiting_user=等待用户操作,processing=处理中,completed=完成,failed=失败,cancelled=取消")
current_step_code: str | None = Field(None, description="当前步骤")
source_project_name: str | None = Field(None, description="视频素材内容项目名称,来源于第1步素材输入")
target_project_name: str | None = Field(None, description="生成项目名称,来源于第1步素材输入")
core_content_point: str | None = Field(None, description="核心内容点,来源于第1步素材输入")
final_image_url: str | None = Field(None, description="最终图片 URL")
final_video_url: str | None = Field(None, description="最终视频 URL")
final_video_cover_url: str | None = Field(None, description="最终视频封面 URL")
error_message: str | None = Field(None, description="错误信息")
created_at: NaiveDatetimeOptional = Field(None, description="创建时间")
updated_at: NaiveDatetimeOptional = Field(None, description="更新时间")
completed_at: NaiveDatetimeOptional = Field(None, description="完成时间")
class HotOpeningTaskListOut(BaseModel):
total: int = Field(..., description="总数量")
items: list[HotOpeningTaskListItemOut] = Field(default_factory=list, description="列表数据")
class HotOpeningActionOut(BaseModel):
message: str = Field(..., description="操作结果提示")
project_id: str = Field(..., description="总任务项目ID")
step_id: str | None = Field(None, description="本次创建或修改的子任务ID")
next_step_id: str | None = Field(None, description="兼容字段:当前接口不自动生成下下个任务,一般为空")
detail: HotOpeningTaskDetailOut | None = Field(None, description="操作后的总任务详情")
class HotOpeningDeleteOut(BaseModel):
message: str = Field(..., description="删除结果提示")
project_id: str = Field(..., description="被软删除的总任务项目ID")
deleted: bool = Field(..., description="是否已软删除")
released_size_bytes: int = Field(0, description="本次释放的用户容量占用字节数;UploadResource 真实文件在事务提交后清理")
upload_resource_released: int = Field(0, description="本次标记删除的上传资源数量")
pending_delete_resource_ids: list[str] = Field(default_factory=list, exclude=True, description="内部字段:commit 后待删除真实文件的 UploadResource ID")
class HotOpeningSpecOut(BaseModel):
project_statuses: dict[str, str] = Field(default_factory=lambda: HOT_OPENING_PROJECT_STATUS_DESCRIPTIONS, description="总任务状态说明")
step_statuses: dict[str, str] = Field(default_factory=lambda: HOT_OPENING_STEP_STATUS_DESCRIPTIONS, description="子任务状态说明")
steps: list[dict[str, Any]] = Field(default_factory=lambda: HOT_OPENING_STEP_DESCRIPTIONS, description="5个固定步骤说明")
step_io_schema_version: str = Field(default=HOT_OPENING_STEP_IO_SCHEMA_VERSION, description="步骤 input_json/output_json 结构版本")
step_io_examples: dict[str, dict[str, Any]] = Field(default_factory=lambda: HOT_OPENING_STEP_IO_EXAMPLES, description="每个步骤 input_json/output_json 示例")