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- Alembic 033: generation_tasks 加 batch_id 列+索引 - Route: count>1 时生成共享 batch_id - Repository: list_by_batch() 批次内查询 - dedup.py: check_batch_duplicate() 批次内查重 - Worker: 生成视频后创建 GeneratedVideo 记录 + 双重查重 - 单元测试: 6 个批次查重测试用例
78 lines
2.7 KiB
Python
78 lines
2.7 KiB
Python
from pydantic import BaseModel, Field, model_validator
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class CreateGenerationTaskRequest(BaseModel):
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"""创建生成任务请求。
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支持两种模式（至少提供一种）：
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- 项目模式：project_id + asset_library_id（向后兼容）
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- 模板模式：template_id + asset_ids / title_ids / voice_ids
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"""
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project_id: str = ""
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asset_library_id: str = ""
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strategy_id: str = ""
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voice_library_id: str = ""
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created_by_user_id: str = ""
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# ── 模板模式新增字段 ──
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template_id: str = ""
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asset_ids: list[str] = Field(default_factory=list)
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title_ids: list[str] = Field(default_factory=list)
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voice_ids: list[str] = Field(default_factory=list)
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# ── 来源剪辑计划 ──
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source_edit_plan_id: str = ""
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# ── 批量生成 ──
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count: int = Field(default=1, ge=1, le=50, description="批量生成数量，默认1，最大50")
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# ── 素材库自动匹配 ──
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asset_select_mode: str = Field(
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default="all",
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description="素材选取模式：all=全部ready视频, random=随机选取, smart=智能匹配（按质量/时长评分）",
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)
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asset_select_count: int = Field(
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default=0, ge=0, le=100, description="选取数量，0表示全部（仅 random/smart 模式有效）"
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)
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@model_validator(mode="after")
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def _check_at_least_one_mode(self) -> "CreateGenerationTaskRequest":
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has_project = bool(self.project_id.strip())
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has_template = bool(self.template_id.strip())
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if not has_project and not has_template:
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raise ValueError("project_id 或 template_id 至少需要提供一个")
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has_library = bool(self.asset_library_id.strip())
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has_assets = bool(self.asset_ids or self.title_ids or self.voice_ids)
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if not has_library and not has_assets:
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raise ValueError("asset_library_id 或 asset_ids/title_ids/voice_ids 至少需要提供一个")
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return self
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class GenerationTaskResponse(BaseModel):
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id: str
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project_id: str
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asset_library_id: str
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strategy_id: str
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voice_library_id: str
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template_id: str = ""
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asset_ids: list[str] = Field(default_factory=list)
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title_ids: list[str] = Field(default_factory=list)
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voice_ids: list[str] = Field(default_factory=list)
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source_edit_plan_id: str = ""
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asset_select_mode: str = ""
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batch_id: str = ""
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status: str
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progress: float
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result_count: int
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error_message: str
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class BatchGenerationTaskResponse(BaseModel):
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"""批量生成任务响应。"""
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items: list[GenerationTaskResponse]
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total: int
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class ListGenerationTasksResponse(BaseModel):
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"""用户级生成任务列表响应（跨 project）。"""
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items: list[GenerationTaskResponse]
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