df1856d793
- 产品编辑入口统一走 ProductFormFull(卖点/风格/人群/品牌词全字段); 修复开任务页 <form> 套 <form> 致"编辑产品"报错、改不了、跳回首个产品 - dashboard 入口卡片对齐实际路由: 系统管理(/config) 与 工作配置(/settings) 分开; settings ?tab=products 直达改用挂载后读 URL, 消除 hydration mismatch - 新增用户管理(users API/admin service/改密页) + alembic 022/023/024 - 上线部署: Dockerfile / docker-compose.prod+https / nginx https / .env.example - A8 三套正交叙事(痛点/场景/成分背书) + beige 调色去AI化 + 飞轮 text_import 高权重信号 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
159 lines
6.0 KiB
Python
159 lines
6.0 KiB
Python
"""
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constants/enums.py — Clover 命名中心
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DB枚举约束在此定义，消除三套命名打架。
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业务参数（品类/数量/角度）不在此定义（基石A）。
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"""
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from enum import Enum
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# ── 用户角色 ────────────────────────────────────────────
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class UserRole(str, Enum):
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ADMIN = "admin"
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SUPERVISOR = "supervisor"
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OPERATOR = "operator"
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# ── 任务状态机 ──────────────────────────────────────────
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class TaskStatus(str, Enum):
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PENDING = "pending"
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GENERATING = "generating"
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PENDING_SELECTION = "pending_selection"
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PENDING_REVIEW = "pending_review"
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APPROVED = "approved"
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REJECTED = "rejected"
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ARCHIVED = "archived"
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FAILED = "failed" # 生成彻底失败终态(重试耗尽):区分"没跑"和"跑挂了"(B6)
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# ── 审核状态（generation_tasks 平铺字段）──────────────────
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class ReviewStatus(str, Enum):
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PENDING = "pending"
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APPROVED = "approved"
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REJECTED = "rejected"
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# ── 文案候选来源 ───────────────────────────────────────
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class CandidateSource(str, Enum):
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AI = "ai"
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IMPORT = "import"
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# ── 违禁词等级 ────────────────────────────────────────
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class BannedWordLevel(str, Enum):
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AUTO_FIX = "auto_fix"
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SOFT_WARN = "soft_warn"
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HARD_BLOCK = "hard_block"
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# ── 违禁词扫描结果 ───────────────────────────────────
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class BannedWordStatus(str, Enum):
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PASS = "pass"
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AUTO_FIXED = "auto_fixed"
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SOFT_WARN = "soft_warn"
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HARD_BLOCK = "hard_block"
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# ── 飞轮信号类型 ─────────────────────────────────────
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class SignalType(str, Enum):
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TEXT_SELECT = "text_select"
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IMAGE_SELECT = "image_select"
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APPROVE = "approve"
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REJECT_WITH_REASON = "reject_with_reason"
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REGENERATE = "regenerate"
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TEXT_EDIT = "text_edit" # 改稿:用户真改了字=最强真实信号(倩倩姐2026-06-16拍板)
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TEXT_IMPORT = "text_import" # 导入:客户实跑验证过跑得好的范本=最值得学习(倩倩姐2026-06-26拍板)
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# ── 飞轮信号权重默认值（北哥可校准）─────────────────────
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SIGNAL_WEIGHTS: dict[str, int] = {
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SignalType.TEXT_SELECT: 3,
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SignalType.IMAGE_SELECT: 3,
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SignalType.APPROVE: 5,
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SignalType.REJECT_WITH_REASON: -3,
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SignalType.REGENERATE: -1,
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SignalType.TEXT_EDIT: 5, # 最强信号,≥选择类(倩倩姐2026-06-16拍板;先激进跑一周再校准)
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# 导入文案=客户实跑验证过的范本,权重高于改稿/AI选稿(倩倩姐2026-06-26拍板)。
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# 8=改稿5+AI选稿3之上拉开梯度,体现"最值得学习"又不极端碾压;待倩倩姐最终校准。
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SignalType.TEXT_IMPORT: 8,
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}
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# ── 生图3套正交叙事策略 → 飞轮角度标签 ───────────────────
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# 选图信号 angle_label 用此映射,与文案 angle_label 体系并轨进同一偏好聚合。
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# A痛点先行/B场景先行/C成分背书先行(倩倩姐2026-06-15起草,北哥过目版)。
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IMAGE_STRATEGY_ANGLE: dict[str, str] = {
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"A": "痛点先行",
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"B": "场景先行",
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"C": "成分背书先行",
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}
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# ── 数据归属 ──────────────────────────────────────────
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class DataOwnership(str, Enum):
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CLIENT_DATA = "client_data" # 原始输入产出，客户可导出
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PLATFORM_ASSET = "platform_asset" # 飞轮蒸馏成果，归平台
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# ── 交付包状态 ────────────────────────────────────────
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class PackageStatus(str, Enum):
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PENDING = "pending"
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READY = "ready"
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DOWNLOADED = "downloaded"
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# ── 图片分镜角色（G5坑修复：对齐 storyboard.py 实际角色名）────
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class ImageRole(str, Enum):
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# storyboard 实际输出角色名
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HOOK = "hook"
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PAIN_SCENE = "pain_scene"
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PRODUCT_CLOSEUP = "product_closeup"
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INGREDIENT = "ingredient"
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APPLIED_PROOF = "applied_proof"
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TEXTURE = "texture"
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SOCIAL_PROOF = "social_proof"
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CLOSER = "closer"
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SCENARIO = "scenario"
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TUTORIAL = "tutorial"
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# 旧值保留向后兼容
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PAIN = "pain"
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PROOF = "proof"
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QUALITY = "quality"
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CREDIT = "credit"
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CONVERT = "convert"
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MAIN = "main"
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# ── 产品参考图场景类型（R5多图：标注每张产品图拍的是什么，供生图按分镜role选用）──
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class ProductImageScene(str, Enum):
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PRIMARY = "primary" # 白底/正面主图（默认主图，必有）
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SCENE = "scene" # 使用场景图（梳妆台/生活环境）
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TEXTURE = "texture" # 质地特写（膏体/涂抹）
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INGREDIENT = "ingredient" # 成分/包装细节
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MODEL = "model" # 上脸/使用中
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# ── AI 图片提供商 ─────────────────────────────────────
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class ImageProvider(str, Enum):
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GPT = "gpt"
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GEMINI = "gemini"
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# ── 产品来源 ──────────────────────────────────────────
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class ProductSource(str, Enum):
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PRESET = "preset"
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CUSTOM = "custom"
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# ── 错误码（契约§0七类）─────────────────────────────────
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class ErrorCode:
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SUCCESS = 0
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PARAM_INVALID = 40001
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UNAUTHORIZED = 40101
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FORBIDDEN = 40301
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NOT_FOUND = 40401
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STATE_INVALID = 40901
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BUSINESS_ERROR = 42201
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SERVER_ERROR = 50001
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AI_CALL_FAILED = 50002
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