水印相机后端+建表语句

食物营养成分表数据

tools/verify_sql.py

@@ -0,0 +1,116 @@
+# -*- coding: utf-8 -*-
+"""校验生成的 INSERT 脚本: 元组数量/字段个数/列序/与缓存数据一致性。用完可删。"""
+import json
+import pathlib
+import re
+import sys
+
+sys.path.insert(0, str(pathlib.Path(__file__).resolve().parent))
+from fetch_food_nutrition import to_num  # noqa: E402
+
+ROOT = pathlib.Path(__file__).resolve().parent.parent
+SQL = ROOT / "src" / "main" / "resources" / "db" / "data_food_nutrition.sql"
+DDL = ROOT / "src" / "main" / "resources" / "db" / "migration_add_food_nutrition.sql"
+CACHE = ROOT / "tools" / "_cache"
+N_META, N_NUT, EXPECT = 9, 31, 41  # 9 元数据 + 31 营养素 + raw_values
+
+
+def split_top(text):
+    """按最外层逗号/分号切分, 尊重单引号字符串(含 '' 转义)与括号嵌套。"""
+    out, cur, depth, in_str, i = [], [], 0, False, 0
+    while i < len(text):
+        ch = text[i]
+        if in_str:
+            if ch == "'":
+                if i + 1 < len(text) and text[i + 1] == "'":
+                    cur.append("''")
+                    i += 2
+                    continue
+                in_str = False
+            cur.append(ch)
+        elif ch == "'":
+            in_str = True
+            cur.append(ch)
+        elif ch in "([{":
+            depth += 1
+            cur.append(ch)
+        elif ch in ")]}":
+            depth -= 1
+            cur.append(ch)
+        elif depth == 0 and ch == ",":
+            out.append("".join(cur).strip())
+            cur = []
+        else:
+            cur.append(ch)
+        i += 1
+    if "".join(cur).strip():
+        out.append("".join(cur).strip())
+    return out
+
+
+sql = SQL.read_text(encoding="utf-8")
+body = "\n".join(l for l in sql.splitlines() if not l.lstrip().startswith("--"))
+stmts = [s for s in body.split(";") if "INSERT INTO" in s]
+ins_cols = re.findall(r"`(\w+)`", stmts[0][:stmts[0].index("VALUES")])[1:]  # 去掉表名
+print(f"INSERT 语句 {len(stmts)} 条, 列数 {len(ins_cols)}")
+
+# 1) DDL 列序 vs INSERT 列序(排除 id/create_time/update_time)
+ddl = DDL.read_text(encoding="utf-8")
+block = ddl[ddl.index("CREATE TABLE"):ddl.index("ENGINE=InnoDB")]
+ddl_cols = [c for c in re.findall(r"^\s*`(\w+)`\s+(?:BIGINT|INT|VARCHAR|DECIMAL|JSON|DATETIME)",
+                                  block, re.M)
+            if c not in ("id", "create_time", "update_time")]
+print(f"DDL 列数 {len(ddl_cols)}; 列序与 INSERT 一致: {ddl_cols == ins_cols}")
+if ddl_cols != ins_cols:
+    for a, b in zip(ddl_cols, ins_cols):
+        if a != b:
+            print(f"   首个差异: DDL={a} INSERT={b}")
+            break
+
+# 2) 元组解析
+rows, bad = [], []
+for st in stmts:
+    for tup in split_top(st[st.index("VALUES") + 6:]):
+        t = tup.strip()
+        t = t[1:-1] if t.startswith("(") and t.endswith(")") else t
+        f = split_top(t)
+        if len(f) != EXPECT:
+            bad.append((f[0] if f else "?", len(f)))
+        else:
+            rows.append(f)
+print(f"解析记录 {len(rows)} 条; 字段数非 {EXPECT} 的 {len(bad)} {bad[:3]}")
+
+ids = [r[0] for r in rows]
+print(f"food_id 唯一 {len(set(ids))}; 升序 {ids == sorted(ids, key=int)}; "
+      f"范围 {min(map(int, ids))}~{max(map(int, ids))}")
+
+# 3) 与接口缓存比对
+master = {}
+for f in CACHE.glob("cat_0_0_p*.json"):
+    for row in json.loads(f.read_text(encoding="utf-8")).get("list") or []:
+        master[int(row[0])] = row
+print(f"缓存 {len(master)} 条; ID 集合一致: {set(map(int, ids)) == set(master)}")
+
+mis = badj = 0
+for r in rows:
+    src = master[int(r[0])]
+    got = r[N_META:N_META + N_NUT]
+    for n, idx in enumerate(range(5, 36)):
+        exp = to_num(src[idx])
+        if (exp is None and got[n] != "NULL") or (exp is not None and got[n] != exp):
+            mis += 1
+            if mis <= 5:
+                print(f"  值不一致 id={r[0]} idx={idx} 期望 {exp} 实际 {got[n]}")
+    if json.loads(r[N_META + N_NUT].strip()[1:-1].replace("''", "'")) != src:
+        badj += 1
+print(f"31 个营养素逐值比对: {'全部一致' if mis == 0 else f'{mis} 处不一致'}")
+print(f"raw_values 为合法 JSON 且与原数组一致: {badj == 0} (异常 {badj})")
+
+print("\n样例:")
+for r in rows:
+    if r[1][:2] in ("小麦", "鸡肝", "花生") or r[1] == "小麦粉(标准粉)":
+        print("  " + " | ".join(r[:N_META + 8]))
+        if r[1].startswith("小麦粉(标准粉)"):
+            break
+print("  首行: " + " | ".join(rows[0][:N_META + 8]))
+print("  raw_values(首行前 60 字): " + rows[0][N_META + N_NUT][:60])