# -*- 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])