3218485270
f493bde8a9
- 缓存热点批量流程（有采集缓存不触发 Google） - 简报不足直接从采集缓存生成（轻量补齐） - 三图合成（模特/印花/底图）+ 底图压缩 <2MB - 热点去重→风格去重自动切换 + 不适合类目 review 兜底 - 透明背景（background=transparent）+ 提示词清洗（敏感词/背景描述） - 任务前 basemap 校验 + 模板国家校验 + 模特任务级分配
103 lines
3.9 KiB
Python
103 lines
3.9 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）。
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数据关系（已核实 spu_sku.db）：
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- SPU.code = 款号（如 DG004）
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- SKU.code = "款号-颜色编码"（如 DG004-BL01），SKU.color = 中文色名（黑/灰/...）
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- basemap 目录 = basemap/<款号>/<SKU.code>/xxx.jpg
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- material_library/<品类>/ 存放模特图
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- SKU.img_url_2~5 = CDN 图 URL（底图/细节/模特图，仅作参考字段）
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"""
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import sqlite3
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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# 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）
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IMG_EXTS = {".jpg", ".jpeg", ".png", ".webp", ".bmp", ".avif", ".gif", ".tiff", ".tif"}
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def _connect(db_path) -> sqlite3.Connection:
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conn = sqlite3.connect(str(db_path))
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conn.row_factory = sqlite3.Row
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return conn
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def list_spus(db_path, country: Optional[str] = None) -> List[Dict[str, Any]]:
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"""全部 SPU（可选按国家过滤）。"""
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conn = _connect(db_path)
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sql = "SELECT id, code, style, material, printing_type, target_audience, pattern, country, mark FROM SPU"
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params: list = []
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if country:
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sql += " WHERE country = ?"
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params.append(country)
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sql += " ORDER BY code"
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rows = conn.execute(sql, params).fetchall()
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conn.close()
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return [dict(r) for r in rows]
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def list_colors(db_path, spu_code: str) -> List[Dict[str, Any]]:
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"""款号 → 颜色列表（SKU.code 去重，附中文色名、CDN 底图 URL、最低价）。"""
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conn = _connect(db_path)
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rows = conn.execute(
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"""SELECT s.code AS sku_code, s.color, s.img_url_2 AS img_url, MIN(s.price) AS price
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FROM SKU s JOIN SPU p ON s.spu_id = p.id
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WHERE p.code = ?
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GROUP BY s.code, s.color ORDER BY s.code""", (spu_code,)).fetchall()
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conn.close()
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return [dict(r) for r in rows]
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def find_basemap(basemap_root, spu_code: str, sku_code: str) -> Optional[Path]:
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"""basemap/<款号>/<SKU.code>/ 下第一张图片；无返回 None。"""
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d = Path(basemap_root) / spu_code / sku_code
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if not d.exists():
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return None
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for f in sorted(d.iterdir()):
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if f.is_file() and f.suffix.lower() in IMG_EXTS:
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return f
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return None
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def list_model_images(material_root, category: str = "T-shirt") -> List[Path]:
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"""material_library/<品类>/ 下所有图片；无返回空列表。"""
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d = Path(material_root) / category
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if not d.exists():
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return []
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return [f for f in sorted(d.iterdir()) if f.is_file() and f.suffix.lower() in IMG_EXTS]
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def find_first_model_folder(material_root, preferred: Optional[str] = None):
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"""material_library 下「第一个有图片的子目录」及其图片列表。
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- preferred（如 config 的 model_category）优先：该目录有图就直接用；
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- 否则按子目录名排序，取第一个有图的目录；
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- 全空返回 (None, [])。
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返回 (dir_name or None, images: List[Path])。
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"""
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root = Path(material_root)
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if not root.exists():
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return None, []
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candidates = []
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if preferred:
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d = root / preferred
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if d.is_dir():
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candidates.append(d)
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candidates += [d for d in sorted(root.iterdir()) if d.is_dir()]
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seen = set()
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for d in candidates:
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if d in seen:
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continue
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seen.add(d)
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imgs = [f for f in sorted(d.iterdir()) if f.is_file() and f.suffix.lower() in IMG_EXTS]
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if imgs:
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return d.name, imgs
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return None, []
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def first_available_sku(db_path, basemap_root, spu_code: str) -> Optional[str]:
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"""返回该款号下第一个「本地有底图」的 SKU.code；无则 None。"""
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for c in list_colors(db_path, spu_code):
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if find_basemap(basemap_root, spu_code, c["sku_code"]) is not None:
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return c["sku_code"]
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return None
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