487 lines
27 KiB
Python
487 lines
27 KiB
Python
from __future__ import annotations
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from typing import Any
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from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
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from app.schemas.common import NaiveDatetimeOptional
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HOT_OPENING_PROJECT_STATUS_DESCRIPTIONS: dict[str, str] = {
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"pending": "已创建但未进入流程",
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"waiting_user": "等待用户手动触发下一步",
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"processing": "当前有步骤处理中",
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"completed": "总任务完成",
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"failed": "总任务失败",
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"cancelled": "总任务取消",
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}
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HOT_OPENING_STEP_STATUS_DESCRIPTIONS: dict[str, str] = {
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"pending": "子任务待处理",
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"waiting_user": "等待用户确认或触发",
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"processing": "子任务处理中",
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"completed": "子任务完成",
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"failed": "子任务失败",
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"cancelled": "子任务取消",
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}
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HOT_OPENING_STEP_DESCRIPTIONS: list[dict[str, Any]] = [
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{"step_index": 1, "step_code": "material_input", "name": "素材输入"},
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{"step_index": 2, "step_code": "image_prompt_optimize", "name": "图片 AI 提词"},
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{"step_index": 3, "step_code": "image_generate", "name": "图片生成"},
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{"step_index": 4, "step_code": "video_prompt_optimize", "name": "视频 AI 提词 JSON schema"},
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{"step_index": 5, "step_code": "video_generate", "name": "视频生成"},
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]
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HOT_OPENING_STEP_IO_SCHEMA_VERSION = "hot_opening_step_io_v1"
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HOT_OPENING_STEP_IO_EXAMPLES: dict[str, dict[str, Any]] = {
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"material_input": {
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"input_json": {
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"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
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"step_code": "material_input",
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"source": {"source_step_id": None, "parent_step_id": None},
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"payload": {
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"material_video_url": "https://example.com/source.mp4",
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"material_image_url": "https://example.com/product.png",
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"source_project_name": "参考素材项目名称",
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"target_project_name": "新项目名称",
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"core_content_point": "50字以内核心内容点",
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},
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"context": {},
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},
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"output_json": {
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"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
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"step_code": "material_input",
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"status": "completed",
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"payload": {},
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"result": {"accepted": True, "message": "素材输入已提交", "next_step_code": "image_prompt_optimize"},
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"usage": {},
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"error": {},
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},
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},
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"image_prompt_optimize": {
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"input_json": {
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"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
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"step_code": "image_prompt_optimize",
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"source": {"source_step_id": "第1步素材输入ID", "parent_step_id": "第1步素材输入ID"},
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"payload": {"source_step_id": "第1步素材输入ID"},
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"context": {},
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},
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"output_json": {
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"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
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"step_code": "image_prompt_optimize",
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"status": "completed",
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"payload": {
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"optimized_prompt": "图片生成提示词",
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"prompt": "兼容字段，同 optimized_prompt",
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"original_prompt": "后端拼接的图片提词原始需求",
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"references": [{"type": "video|image", "url": "...", "name": "..."}],
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},
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"result": {},
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"usage": {
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"input_tokens": 0,
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"output_tokens": 0,
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"total_tokens": 0,
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"text_credits_cost": 0,
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"credit_biz_key": "module_generation_step:{step_id}:attempt:1:text_prompt:charge",
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},
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"error": {},
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},
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},
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"image_generate": {
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"input_json": {
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"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
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"step_code": "image_generate",
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"source": {"source_step_id": "第2步图片提词ID", "parent_step_id": "第2步图片提词ID"},
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"payload": {
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"engine_id": "图片引擎ID",
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"params": {"image_size": "2K", "image_proportion": "1:1", "image_px": "2048x2048"},
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"prompt": "图片生成提示词",
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"media_references": [{"type": "image", "url": "新产品图片", "name": "新产品图片"}],
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},
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"context": {},
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},
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"output_json": {
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"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
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"step_code": "image_generate",
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"status": "completed",
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"payload": {},
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"result": {"result_image_url": "/generate/images/xxx.png", "chat_task_id": "ChatGenerationTask ID"},
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"usage": {},
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"error": {},
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},
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},
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"video_prompt_optimize": {
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"input_json": {
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"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
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"step_code": "video_prompt_optimize",
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"source": {"source_step_id": "第3步图片生成ID", "parent_step_id": "第3步图片生成ID"},
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"payload": {
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"source_step_id": "第3步图片生成ID",
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"video_config": {"engine_id": "视频引擎ID", "duration": 8, "aspect_ratio": "9:16", "resolution": "1080p"},
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"target_platform": "抖音",
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},
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"context": {},
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},
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"output_json": {
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"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
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"step_code": "video_prompt_optimize",
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"status": "completed",
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"payload": {
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"prompt_schema": {"任务基础信息": {}, "最终提示词": {}},
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"final_prompt": "展示用最终视频提示词",
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"params_used_for_prompt": {"duration": 8, "aspect_ratio": "9:16", "resolution": "1080p"},
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"target_platform": "抖音",
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},
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"result": {},
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"usage": {
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"input_tokens": 0,
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"output_tokens": 0,
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"total_tokens": 0,
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"text_credits_cost": 0,
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"credit_biz_key": "module_generation_step:{step_id}:attempt:1:text_prompt:charge",
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},
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"error": {},
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},
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},
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"video_generate": {
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"input_json": {
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"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
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"step_code": "video_generate",
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"source": {"source_step_id": "第4步视频提词ID", "parent_step_id": "第4步视频提词ID"},
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"payload": {
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"engine_id": "视频引擎ID",
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"params": {"duration": 8, "aspect_ratio": "9:16", "resolution": "1080p"},
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"prompt_schema": {"任务基础信息": {}, "最终提示词": {}},
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"final_prompt": "展示用最终提示词",
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"media_references": [{"type": "image", "url": "第3步生成图片", "name": "新项目图片"}],
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},
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"context": {},
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},
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"output_json": {
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"schema_version": HOT_OPENING_STEP_IO_SCHEMA_VERSION,
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"step_code": "video_generate",
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"status": "completed",
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"payload": {},
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"result": {
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"result_video_url": "/generate/videos/xxx.mp4",
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"result_video_cover_url": "/generate/covers/xxx.jpg",
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"chat_task_id": "ChatGenerationTask ID",
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},
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"usage": {},
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"error": {},
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},
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},
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}
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class HotOpeningTaskCreate(BaseModel):
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"""创建爆款开头复刻总任务项目请求体。"""
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model_config = ConfigDict(
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json_schema_extra={
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"example": {
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"material_video_url": "https://example.com/source.mp4",
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"material_image_url": "https://example.com/product.png",
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"source_project_name": "参考素材项目名称",
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"target_project_name": "新项目名称",
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"core_content_point": "突出产品能帮助用户认识附近新朋友",
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"idempotency_key": "frontend-submit-uuid-001",
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}
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}
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)
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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")
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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")
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source_project_name: str = Field(..., min_length=1, max_length=20, description="视频素材内容项目名称")
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target_project_name: str = Field(..., min_length=1, max_length=20, description="生成项目名称")
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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")
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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")
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@field_validator("material_video_url", "material_image_url", "source_project_name", "target_project_name", "core_content_point")
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@classmethod
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def _strip_required(cls, value: str) -> str:
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value = str(value or "").strip()
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if not value:
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raise ValueError("字段不能为空")
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return value
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class HotOpeningMaterialUpdateRequest(BaseModel):
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"""修改爆款开头复刻第1步素材输入请求体。"""
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model_config = ConfigDict(
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json_schema_extra={
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"example": {
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"material_video_url": "https://example.com/new-source.mp4",
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"material_image_url": "https://example.com/new-product.png",
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"source_project_name": "新的参考素材项目名称",
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"target_project_name": "新的生成项目名称",
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"core_content_point": "新的50字以内核心内容点",
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}
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}
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)
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material_video_url: str | None = Field(None, min_length=1, description="素材视频链接，未传则沿用旧值")
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material_image_url: str | None = Field(None, min_length=1, description="素材图片链接，未传则沿用旧值")
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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")
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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")
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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")
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@field_validator("material_video_url", "material_image_url", "source_project_name", "target_project_name", "core_content_point", mode="before")
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@classmethod
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def _strip_optional(cls, value: str | None) -> str | None:
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if value is None:
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return None
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value = str(value).strip()
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if not value:
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raise ValueError("字段不能为空字符串")
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return value
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@model_validator(mode="after")
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def _require_at_least_one(self) -> "HotOpeningMaterialUpdateRequest":
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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")):
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raise ValueError("至少需要传入一个需要修改的字段")
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return self
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class HotOpeningStepUpdate(BaseModel):
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"""修改爆款开头复刻子任务请求体。"""
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material_video_url: str | None = Field(None, description="修改第1步素材视频链接")
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material_image_url: str | None = Field(None, description="修改第1步素材图片链接")
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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")
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target_project_name: str | None = Field(None, max_length=20, description="修改第1步生成项目名称")
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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")
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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")
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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")
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input_json: dict[str, Any] | None = Field(None, description="高级用法：合并修改当前步骤 input_json.payload")
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output_json: dict[str, Any] | None = Field(None, description="高级用法：合并修改当前步骤 output_json.payload")
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class HotOpeningImagePromptUpdateRequest(BaseModel):
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"""直接修改第2步图片 AI 优化提词请求体。
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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。
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"""
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model_config = ConfigDict(
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extra="ignore",
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json_schema_extra={"example": {"prompt": "用户手动修改后的图片生成提示词"}},
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)
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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")
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@field_validator("prompt", mode="before")
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@classmethod
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def _strip_prompt(cls, value: str) -> str:
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value = str(value or "").strip()
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if not value:
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raise ValueError("图片提示词不能为空")
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return value
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class HotOpeningVideoPromptSchemaUpdateRequest(BaseModel):
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"""修改第4步视频 AI 提词 JSON schema 请求体。
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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、
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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。
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最终提示词允许修改，但保存前会清洗视频参数。
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"""
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model_config = ConfigDict(
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extra="ignore",
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json_schema_extra={
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"example": {
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"prompt_schema": {
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"业务属性": {"产品名称": "脱单交友APP", "行动引导": "立即下载"},
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"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"},
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}
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}
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},
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)
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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")
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@field_validator("prompt_schema")
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@classmethod
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def _validate_schema(cls, value: dict[str, Any]) -> dict[str, Any]:
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if not isinstance(value, dict) or not value:
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raise ValueError("prompt_schema 必须是非空 JSON 对象")
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return value
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class HotOpeningGenerateImagePromptRequest(BaseModel):
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"""手动生成第2步图片 AI 提词请求体。当前无需请求参数。"""
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model_config = ConfigDict(extra="ignore")
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class HotOpeningGenerateImageRequest(BaseModel):
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"""根据图片提词生成新项目图片请求体。
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ChatGenerationTask.idempotency_key 由后端自动生成，接口不再接收前端幂等键。
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"""
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model_config = ConfigDict(
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extra="ignore",
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json_schema_extra={"example": {"engine_id": "image_engine_xxx", "image_size": "2K", "image_proportion": "1:1", "image_px": "2048x2048"}},
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)
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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")
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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")
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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")
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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")
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class HotOpeningGenerateVideoPromptRequest(BaseModel):
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"""手动生成第4步视频 AI 提词请求体。
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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。
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"""
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model_config = ConfigDict(
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extra="ignore",
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json_schema_extra={"example": {"engine_id": "video_engine_xxx", "duration": 8, "aspect_ratio": "9:16", "resolution": "1080p", "target_platform": "抖音"}},
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)
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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")
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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")
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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")
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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")
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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")
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class HotOpeningGenerateVideoRequest(BaseModel):
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"""根据视频提词生成最终视频请求体。
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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。
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ChatGenerationTask.original_prompt / optimized_prompt 都写入第4步生成的 prompt_schema JSON 字符串。
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"""
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model_config = ConfigDict(extra="ignore", json_schema_extra={"example": {"engine_id": "video_engine_xxx"}})
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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")
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class HotOpeningStepOut(BaseModel):
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id: str = Field(..., description="子任务ID")
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project_id: str = Field(..., description="总任务项目ID，即 module_generation_projects.id")
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module: str = Field(..., description="模块标识，例如 hot_opening_replicate")
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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")
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step_code: str = Field(..., description="步骤编码：material_input/image_prompt_optimize/image_generate/video_prompt_optimize/video_generate")
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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")
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version: int = Field(..., description="步骤版本号。重新生成或修改上游步骤后 version+1")
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is_current: bool = Field(..., description="是否当前有效步骤。旧步骤会软删除且 is_current=false")
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parent_step_id: str | None = Field(None, description="上一个步骤ID")
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source_step_id: str | None = Field(None, description="当前步骤基于哪个上游步骤生成")
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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")
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input: dict[str, Any] | None = Field(None, description=f"步骤输入 JSON，统一 schema_version={HOT_OPENING_STEP_IO_SCHEMA_VERSION}")
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output: dict[str, Any] | None = Field(None, description=f"步骤输出 JSON，统一 schema_version={HOT_OPENING_STEP_IO_SCHEMA_VERSION}")
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error_message: str | None = Field(None, description="步骤错误信息")
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created_at: NaiveDatetimeOptional = Field(None, description="创建时间")
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updated_at: NaiveDatetimeOptional = Field(None, description="更新时间")
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completed_at: NaiveDatetimeOptional = Field(None, description="完成时间")
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class HotOpeningMaterialOut(BaseModel):
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material_step_id: str | None = Field(None, description="第1步素材输入子任务ID")
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material_video_url: str | None = Field(None, description="素材视频链接")
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material_image_url: str | None = Field(None, description="素材图片链接")
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source_project_name: str | None = Field(None, description="视频素材内容项目名称")
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target_project_name: str | None = Field(None, description="生成项目名称")
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core_content_point: str | None = Field(None, description="生成项目核心内容点")
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class HotOpeningImageGenerationOut(BaseModel):
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prompt_step_id: str | None = Field(None, description="第2步图片 AI 提词子任务ID")
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generate_step_id: str | None = Field(None, description="第3步图片生成子任务ID")
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prompt: str | None = Field(None, description="图片优化提词")
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engine_id: str | None = Field(None, description="图片生成引擎ID")
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engine_name: str | None = Field(None, description="图片生成引擎名称")
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params: dict[str, Any] | None = Field(None, description="图片生成参数")
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chat_task_id: str | None = Field(None, description="图片生成 ChatGenerationTask ID")
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status: str | None = Field(None, description="图片生成状态")
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result_image_url: str | None = Field(None, description="新项目图片 URL")
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error_message: str | None = Field(None, description="图片生成错误信息")
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class HotOpeningVideoGenerationOut(BaseModel):
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prompt_step_id: str | None = Field(None, description="第4步视频 AI 提词子任务ID")
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generate_step_id: str | None = Field(None, description="第5步视频生成子任务ID")
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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")
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final_prompt: str | None = Field(None, description="视频最终提词，仅用于前端展示")
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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")
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engine_id: str | None = Field(None, description="视频生成引擎ID")
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engine_name: str | None = Field(None, description="视频生成引擎名称")
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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")
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chat_task_id: str | None = Field(None, description="视频生成 ChatGenerationTask ID")
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status: str | None = Field(None, description="视频生成状态")
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result_video_url: str | None = Field(None, description="最终视频 URL")
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result_video_cover_url: str | None = Field(None, description="最终视频封面 URL")
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error_message: str | None = Field(None, description="视频生成错误信息")
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class HotOpeningTaskDetailOut(BaseModel):
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id: str = Field(..., description="总任务项目ID。这个ID就是前端项目ID")
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project_id: str = Field(..., description="兼容前端命名，等同于 id")
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module: str = Field(..., description="模块标识，爆款开头复刻固定为 hot_opening_replicate")
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title: str | None = Field(None, description="项目标题，默认取生成项目名称")
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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")
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current_step_code: str | None = Field(None, description="当前所处步骤编码")
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final_image_url: str | None = Field(None, description="最终新项目图片 URL")
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final_video_url: str | None = Field(None, description="最终视频 URL")
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final_video_cover_url: str | None = Field(None, description="最终视频封面 URL")
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error_message: str | None = Field(None, description="总任务错误信息")
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material: HotOpeningMaterialOut = Field(default_factory=HotOpeningMaterialOut, description="素材和项目描述信息")
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image_generation: HotOpeningImageGenerationOut = Field(default_factory=HotOpeningImageGenerationOut, description="图片提词、图片引擎参数和图片结果")
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video_generation: HotOpeningVideoGenerationOut = Field(default_factory=HotOpeningVideoGenerationOut, description="视频提词、视频引擎参数和视频结果")
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steps: list[HotOpeningStepOut] = Field(default_factory=list, description="当前有效子任务列表")
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created_at: NaiveDatetimeOptional = Field(None, description="创建时间")
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updated_at: NaiveDatetimeOptional = Field(None, description="更新时间")
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completed_at: NaiveDatetimeOptional = Field(None, description="完成时间")
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class HotOpeningTaskListItemOut(BaseModel):
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id: str = Field(..., description="总任务项目ID。这个ID就是前端项目ID")
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project_id: str = Field(..., description="兼容前端命名，等同于 id")
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module: str = Field(..., description="模块标识")
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title: str | None = Field(None, description="项目标题")
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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")
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current_step_code: str | None = Field(None, description="当前步骤")
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target_project_name: str | None = Field(None, description="生成项目名称，来源于第1步素材输入")
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final_image_url: str | None = Field(None, description="最终图片 URL")
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final_video_url: str | None = Field(None, description="最终视频 URL")
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final_video_cover_url: str | None = Field(None, description="最终视频封面 URL")
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error_message: str | None = Field(None, description="错误信息")
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created_at: NaiveDatetimeOptional = Field(None, description="创建时间")
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updated_at: NaiveDatetimeOptional = Field(None, description="更新时间")
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completed_at: NaiveDatetimeOptional = Field(None, description="完成时间")
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class HotOpeningTaskListOut(BaseModel):
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total: int = Field(..., description="总数量")
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items: list[HotOpeningTaskListItemOut] = Field(default_factory=list, description="列表数据")
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class HotOpeningActionOut(BaseModel):
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message: str = Field(..., description="操作结果提示")
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project_id: str = Field(..., description="总任务项目ID")
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step_id: str | None = Field(None, description="本次创建或修改的子任务ID")
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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")
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detail: HotOpeningTaskDetailOut | None = Field(None, description="操作后的总任务详情")
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class HotOpeningDeleteOut(BaseModel):
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message: str = Field(..., description="删除结果提示")
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project_id: str = Field(..., description="被软删除的总任务项目ID")
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deleted: bool = Field(..., description="是否已软删除")
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class HotOpeningSpecOut(BaseModel):
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project_statuses: dict[str, str] = Field(default_factory=lambda: HOT_OPENING_PROJECT_STATUS_DESCRIPTIONS, description="总任务状态说明")
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step_statuses: dict[str, str] = Field(default_factory=lambda: HOT_OPENING_STEP_STATUS_DESCRIPTIONS, description="子任务状态说明")
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steps: list[dict[str, Any]] = Field(default_factory=lambda: HOT_OPENING_STEP_DESCRIPTIONS, description="5个固定步骤说明")
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step_io_schema_version: str = Field(default=HOT_OPENING_STEP_IO_SCHEMA_VERSION, description="步骤 input_json/output_json 结构版本")
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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")
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