3218485270
b7f429db89
1) 模板导出：识别「基码表-胸围」填 sku.bust（多个胸围列都填）；申报价格模糊匹配多列统一按加价后价格填写；详情图文不再拼接 img_url_2；SPU 款式来源统一填「现货款」；商品产地国家简称映射（沙特→沙特阿拉伯） 2) 模特性别分组：model_features 按男女分组，按模板类目含男/女固定取对应性别模特（含 Pinterest 模式 pipeline） 3) 三合一提示词：去掉 DESIGN CONTENT 四要素描述（设计已由设计稿提供） 4) 生图尺寸：全部改为读 config 不再硬编码（设计图 compose.design_size / 合成图 compose.size / 种草图 seed_shot.size）
123 lines
4.5 KiB
Python
123 lines
4.5 KiB
Python
"""SPU/SKU 数据库查询 + 底图/模特图资源查找（产品图生成流水线的数据层）。
|
||
|
||
数据关系（已核实 spu_sku.db）：
|
||
- SPU.code = 款号（如 DG004）
|
||
- SKU.code = "款号-颜色编码"（如 DG004-BL01），SKU.color = 中文色名（黑/灰/...）
|
||
- basemap 目录 = basemap/<款号>/<SKU.code>/xxx.jpg
|
||
- material_library/<品类>/ 存放模特图
|
||
- SKU.img_url_2~5 = CDN 图 URL（底图/细节/模特图，仅作参考字段）
|
||
"""
|
||
import sqlite3
|
||
from pathlib import Path
|
||
from typing import Any, Dict, List, Optional
|
||
|
||
# 支持的图片格式：模特图/底图均按此识别（png/jpg 等常见格式全覆盖；AVIF/GIF/TIFF 亦支持）
|
||
IMG_EXTS = {".jpg", ".jpeg", ".png", ".webp", ".bmp", ".avif", ".gif", ".tiff", ".tif"}
|
||
|
||
|
||
def _connect(db_path) -> sqlite3.Connection:
|
||
conn = sqlite3.connect(str(db_path))
|
||
conn.row_factory = sqlite3.Row
|
||
return conn
|
||
|
||
|
||
def list_spus(db_path, country: Optional[str] = None) -> List[Dict[str, Any]]:
|
||
"""全部 SPU（可选按国家过滤）。"""
|
||
conn = _connect(db_path)
|
||
sql = "SELECT id, code, style, material, printing_type, target_audience, pattern, country, mark FROM SPU"
|
||
params: list = []
|
||
if country:
|
||
sql += " WHERE country = ?"
|
||
params.append(country)
|
||
sql += " ORDER BY code"
|
||
rows = conn.execute(sql, params).fetchall()
|
||
conn.close()
|
||
return [dict(r) for r in rows]
|
||
|
||
|
||
def list_colors(db_path, spu_code: str) -> List[Dict[str, Any]]:
|
||
"""款号 → 颜色列表（SKU.code 去重，附中文色名、CDN 底图 URL、最低价）。"""
|
||
conn = _connect(db_path)
|
||
rows = conn.execute(
|
||
"""SELECT s.code AS sku_code, s.color, s.img_url_2 AS img_url, MIN(s.price) AS price
|
||
FROM SKU s JOIN SPU p ON s.spu_id = p.id
|
||
WHERE p.code = ?
|
||
GROUP BY s.code, s.color ORDER BY s.code""", (spu_code,)).fetchall()
|
||
conn.close()
|
||
return [dict(r) for r in rows]
|
||
|
||
|
||
def _norm_name(s: str) -> str:
|
||
"""去空格（半角+全角）+ 小写，用于 SKU code 与文件夹名比较。"""
|
||
return str(s or "").replace(" ", "").replace(" ", "").strip().lower()
|
||
|
||
|
||
def find_basemap(basemap_root, spu_code: str, sku_code: str) -> Optional[Path]:
|
||
"""basemap/<款号>/<SKU.code>/ 下第一张图片；无返回 None。
|
||
|
||
SKU code 与文件夹名比较时两边都去空格（兼容 db code 或文件夹名带空格）。
|
||
"""
|
||
root = Path(basemap_root) / spu_code
|
||
if not root.exists():
|
||
return None
|
||
target = _norm_name(sku_code)
|
||
if not target:
|
||
return None
|
||
d = root / sku_code
|
||
if not (d.exists() and d.is_dir()):
|
||
d = None
|
||
for cand in sorted(root.iterdir()):
|
||
if cand.is_dir() and _norm_name(cand.name) == target:
|
||
d = cand
|
||
break
|
||
if d is None:
|
||
return None
|
||
for f in sorted(d.iterdir()):
|
||
if f.is_file() and f.suffix.lower() in IMG_EXTS:
|
||
return f
|
||
return None
|
||
|
||
|
||
def list_model_images(material_root, category: str = "T-shirt") -> List[Path]:
|
||
"""material_library/<品类>/ 下所有图片；无返回空列表。"""
|
||
d = Path(material_root) / category
|
||
if not d.exists():
|
||
return []
|
||
return [f for f in sorted(d.iterdir()) if f.is_file() and f.suffix.lower() in IMG_EXTS]
|
||
|
||
|
||
def find_first_model_folder(material_root, preferred: Optional[str] = None):
|
||
"""material_library 下「第一个有图片的子目录」及其图片列表。
|
||
|
||
- preferred（如 config 的 model_category）优先：该目录有图就直接用；
|
||
- 否则按子目录名排序，取第一个有图的目录；
|
||
- 全空返回 (None, [])。
|
||
返回 (dir_name or None, images: List[Path])。
|
||
"""
|
||
root = Path(material_root)
|
||
if not root.exists():
|
||
return None, []
|
||
candidates = []
|
||
if preferred:
|
||
d = root / preferred
|
||
if d.is_dir():
|
||
candidates.append(d)
|
||
candidates += [d for d in sorted(root.iterdir()) if d.is_dir()]
|
||
seen = set()
|
||
for d in candidates:
|
||
if d in seen:
|
||
continue
|
||
seen.add(d)
|
||
imgs = [f for f in sorted(d.iterdir()) if f.is_file() and f.suffix.lower() in IMG_EXTS]
|
||
if imgs:
|
||
return d.name, imgs
|
||
return None, []
|
||
|
||
|
||
def first_available_sku(db_path, basemap_root, spu_code: str) -> Optional[str]:
|
||
"""返回该款号下第一个「本地有底图」的 SKU.code；无则 None。"""
|
||
for c in list_colors(db_path, spu_code):
|
||
if find_basemap(basemap_root, spu_code, c["sku_code"]) is not None:
|
||
return c["sku_code"]
|
||
return None
|