AI 穿搭页左栏新增独立的「生成标题」流程:用户写标题提示词,AI 看该行 衣服图(目录行取首图)生成电商标题,逐行立即写回 Excel A 列并刷新明细表; 完成后重载 Excel,紧接「开始生成」跑图即用新标题。移除原「最终生成要求预览」 腾出版面(docs/11 §17)。 - ai_text_service.py:AiTextClient 复用图像服务 HTTP 管道做文本输出; chat/gemini 带图视觉,images/images_edits 明确报错;extract_text 取首条标题 - ai_title.py + TitleResult:单行编排,never raises - excel_service.write_title_result:只写 A 列、不动 D/E/F - config_service:title_model 默认 + load/save_title_prompt + 默认标题话术 - 面板:标题生成组(提示词+标题模型下拉+保存+生成标题)置于话术组上方; _TitleWorker 顺序逐行+立即回填+刷新;与「开始生成」互斥;删预览相关组件 - 测试:文本解析/payload、generate_title(单文件/目录首图/失败)、 write_title_result、面板标题组存在且无预览;全套 py37 通过 Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
220 lines
6.8 KiB
Python
220 lines
6.8 KiB
Python
from dataclasses import dataclass, field
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from enum import Enum
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from pathlib import Path
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from typing import List, Optional
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# ---------------------------------------------------------------------------
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# 素材
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# ---------------------------------------------------------------------------
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@dataclass
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class ImageAsset:
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"""一张图片素材(衣服图或印花图)。"""
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path: Path
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selected: bool = True # 是否参与批量合成
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# ---------------------------------------------------------------------------
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# 印花变换状态
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# ---------------------------------------------------------------------------
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@dataclass
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class TransformState:
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"""印花在衣服原图像素坐标系中的变换参数。
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x/y: 未旋转包围盒左上角坐标(原图像素)。
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width/height: 缩放后尺寸(原图像素)。
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rotation: 围绕印花中心旋转角度(度)。
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"""
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x: float = 0.0
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y: float = 0.0
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width: float = 0.0
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height: float = 0.0
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rotation: float = 0.0
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keep_aspect_ratio: bool = True
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def center(self):
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"""返回印花中心坐标 (cx, cy)。"""
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return self.x + self.width / 2.0, self.y + self.height / 2.0
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# ---------------------------------------------------------------------------
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# 模板
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# ---------------------------------------------------------------------------
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@dataclass
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class Template:
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"""可复用的合成参数模板,使用比例坐标适配任意尺寸衣服图。
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x_ratio / y_ratio: 印花左上角相对于衣服宽高的比例。
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width_ratio / height_ratio: 印花宽高相对于衣服宽高的比例。
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type: "builtin" 为内置模板,"custom" 为用户自定义模板。
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"""
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name: str
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x_ratio: float = 0.0
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y_ratio: float = 0.0
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width_ratio: float = 0.3
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height_ratio: float = 0.3
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rotation: float = 0.0
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type: str = "custom" # "builtin" | "custom"
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def to_transform_state(
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self,
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garment_width: float,
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garment_height: float,
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print_width: float = None,
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print_height: float = None,
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) -> TransformState:
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"""将比例参数转换为针对指定衣服尺寸的像素坐标 TransformState。
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width_ratio / height_ratio 定义衣服上的目标框。若提供印花原始尺寸
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(print_width / print_height),印花按原始宽高比缩放后 contain 进目标框
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并居中,避免被拉伸变形;未提供时退化为直接铺满目标框(旧行为)。
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"""
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box_x = self.x_ratio * garment_width
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box_y = self.y_ratio * garment_height
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box_w = self.width_ratio * garment_width
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box_h = self.height_ratio * garment_height
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if print_width and print_height and print_width > 0 and print_height > 0:
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scale = min(box_w / print_width, box_h / print_height)
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draw_w = print_width * scale
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draw_h = print_height * scale
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cx = box_x + box_w / 2.0
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cy = box_y + box_h / 2.0
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return TransformState(
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x=cx - draw_w / 2.0,
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y=cy - draw_h / 2.0,
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width=draw_w,
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height=draw_h,
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rotation=self.rotation,
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)
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return TransformState(
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x=box_x,
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y=box_y,
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width=box_w,
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height=box_h,
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rotation=self.rotation,
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)
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# ---------------------------------------------------------------------------
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# 导出选项
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# ---------------------------------------------------------------------------
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@dataclass
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class ExportOptions:
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"""单张或批量导出时的输出配置。"""
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output_dir: str = "" # 空字符串 = 使用程序默认 output/ 目录
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output_format: str = "PNG" # "PNG" | "JPG"
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quality: int = 95 # JPG 质量 1-95,PNG 时忽略
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# ---------------------------------------------------------------------------
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# 批量选项
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# ---------------------------------------------------------------------------
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class BatchMode(str, Enum):
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"""批量合成的配对模式。"""
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ONE_TO_ONE = "one_to_one" # 一一匹配
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MANY_GARMENTS = "many_garments" # 多衣服 × 单印花
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MANY_PRINTS = "many_prints" # 单衣服 × 多印花
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FULL_COMBO = "full_combo" # 全组合(矩阵)
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class VisibilityStatus(str, Enum):
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"""衣服目标区域与印花的可见度状态。"""
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NORMAL = "正常"
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LOW = "偏低"
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UNCLEAR = "不明显"
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UNKNOWN = "无法判断"
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@dataclass
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class BatchOptions:
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"""批量任务配置。"""
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mode: BatchMode = BatchMode.FULL_COMBO
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export_options: ExportOptions = field(default_factory=ExportOptions)
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@dataclass
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class VisibilityResult:
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"""衣服目标区域与印花颜色对比分析结果。"""
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status: VisibilityStatus
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score: float = 0.0
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rgb_distance: float = 0.0
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brightness_difference: float = 0.0
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error: str = ""
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# ---------------------------------------------------------------------------
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# AI 穿搭
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# ---------------------------------------------------------------------------
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@dataclass
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class OutfitTask:
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"""AI 穿搭单行任务。
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row_index: Excel 行号(从 1 开始,便于写回 D/E/F 列)。
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status: 待处理 / 生成中 / 完成 / 失败 / 跳过。
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"""
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row_index: int
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title: str
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product_id: str
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garment_path: str
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status: str = "待处理"
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@dataclass
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class OutfitResult:
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"""AI 穿搭单行生成结果。
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output_path: 单文件行 = 结果图路径;目录行 = 输出子目录路径(写回 Excel D 列)。
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output_paths: 目录行下每张结果图的路径(供缩略图逐张展示);单文件行留空。
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"""
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task: OutfitTask
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success: bool
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output_path: str = ""
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error: str = ""
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attempts: int = 0
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output_paths: List[str] = field(default_factory=list)
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@dataclass
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class TitleResult:
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"""AI 标题生成单行结果(docs/11 §17)。
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generated_title: 成功时为 AI 生成、清洗后的单行标题(写回 Excel A 列)。
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"""
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task: OutfitTask
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success: bool
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generated_title: str = ""
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error: str = ""
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attempts: int = 0
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# ---------------------------------------------------------------------------
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# 合成结果
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# ---------------------------------------------------------------------------
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@dataclass
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class ComposeResult:
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"""单张合成任务的结果。"""
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success: bool
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garment_path: Optional[Path] = None
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print_path: Optional[Path] = None
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output_path: Optional[Path] = None # 成功时有效
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error: str = "" # 失败时的错误说明
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visibility: Optional[VisibilityResult] = None
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@dataclass
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class BatchResult:
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"""批量合成任务的汇总结果。"""
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results: List[ComposeResult] = field(default_factory=list)
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total: int = 0
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success_count: int = 0
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failure_count: int = 0
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