版本变更V3.31添加识图功能

This commit is contained in:
dxc
2026-05-22 10:59:39 +08:00
parent 465452ef46
commit 8c635d6afe
8 changed files with 154 additions and 143 deletions

View File

@ -80,73 +80,81 @@ def image_search():
SELECT id, name, spec_model, image_url,
(1 - (vec <=> :query_vector)) AS similarity
FROM (
SELECT id,
COALESCE(name, '') AS name,
COALESCE(spec, '') AS spec_model,
COALESCE(product_image, '') AS image_url,
img_embedding AS vec
-- 1. 基础物料表
SELECT id, name, spec_model, product_image AS image_url, img_embedding AS vec
FROM material_base
WHERE img_embedding IS NOT NULL
UNION ALL
SELECT id,
'采购入库' AS name,
'到货照片' AS spec_model,
COALESCE(arrival_photo, '') AS image_url,
arrival_image_embedding AS vec
FROM stock_buy
WHERE arrival_image_embedding IS NOT NULL
-- 2. 采购入库表 (通过 base_id 关联拿真实物料)
SELECT mb.id, mb.name, mb.spec_model, sb.arrival_photo AS image_url, sb.arrival_image_embedding AS vec
FROM stock_buy sb
JOIN material_base mb ON sb.base_id = mb.id
WHERE sb.arrival_image_embedding IS NOT NULL
UNION ALL
SELECT id,
'采购入库' AS name,
'质检报告' AS spec_model,
COALESCE(qc_report, '') AS image_url,
qc_report_image_embedding AS vec
FROM stock_buy
WHERE qc_report_image_embedding IS NOT NULL
-- 3. 半成品入库表
SELECT mb.id, mb.name, mb.spec_model, ss.arrival_photo AS image_url, ss.arrival_image_embedding AS vec
FROM stock_semi ss
JOIN material_base mb ON ss.base_id = mb.id
WHERE ss.arrival_image_embedding IS NOT NULL
UNION ALL
-- 4. 成品入库表
SELECT mb.id, mb.name, mb.spec_model, sp.product_photo AS image_url, sp.arrival_image_embedding AS vec
FROM stock_product sp
JOIN material_base mb ON sp.base_id = mb.id
WHERE sp.arrival_image_embedding IS NOT NULL
) AS combined
ORDER BY vec <=> :query_vector
LIMIT 10
ORDER BY vec <=> :query_vector LIMIT 10
""")
result = db.session.execute(sql, {"query_vector": query_vector_str})
rows = result.fetchall()
# 执行查询
records = db.session.execute(sql, {"query_vector": query_vector_str}).fetchall()
results = []
for row in rows:
item_id = row[0]
item_name = row[1] or ""
spec_model = row[2] or ""
raw_image = row[3]
seen_product_ids = set() # 【新增】用来记录已经添加过的物料 ID
# 解析图片 URL 列表,取第一张
image_url = ""
if raw_image:
try:
image_list = json.loads(raw_image)
if image_list and len(image_list) > 0:
image_url = image_list[0]
except Exception:
# 纯字符串直接使用
image_url = str(raw_image)
for row in records:
# 【新增】如果这个物料已经在这个列表里了,直接跳过它
if row.id in seen_product_ids:
continue
# 记录这个物料 ID保证下次不会再重复添加
seen_product_ids.add(row.id)
# 1. 提取原始 URL
raw_url = row.image_url
clean_url = ""
if raw_url:
if raw_url.startswith('[') and raw_url.endswith(']'):
import json
try:
url_list = json.loads(raw_url)
clean_url = url_list[0] if url_list else ""
except:
clean_url = raw_url
else:
clean_url = raw_url
# 2. 组装返回结果
results.append({
"id": item_id,
"name": item_name,
"spec_model": spec_model,
"image_url": image_url,
"similarity": round(float(row[4]), 4)
"product_id": row.id,
"product_name": row.name,
"spec_model": row.spec_model,
"image_url": clean_url,
"similarity": round(float(row.similarity), 4)
})
print(f"✅ [ImageSearch] 跨表检索完成,命中 {len(results)} 条结果")
return jsonify({
"code": 200,
"msg": "检索成功",
"data": results
})
# 【新增】只要凑够了 10 个完全不同的物料,就立刻结束循环
if len(results) >= 10:
break
return jsonify({"code": 200, "data": results})
except Exception as e:
print(f"❌ [ImageSearch] 数据库检索失败: {e}")