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group_fqcd_jr/tools/audit_constraints.py
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"""约束与映射一致性审计:文档基线 ↔ MySQL 实际结构 ↔ SQLAlchemy ORM。
只读,不修改数据库,也不写入任何文件。补足 audit_schema.py(只比表名/列存在)
与 schema_fingerprint.py(只对字段做指纹)无法覆盖的盲区:
1. docs/00-新数据库基线设计.md 声明的唯一键 vs information_schema.STATISTICS;
2. ORM 列 vs 库列。ORM 多出的列会让运行期 SQL 直接报错;库多出的 NOT NULL 列
会让写入静默失败。
3. 任一不一致以非零退出码暴露,便于纳入提交前检查链。
凭据来自 .env 的 MYSQL_DSN,不在脚本内硬编码口令。
"""
from __future__ import annotations
import re
import sys
from pathlib import Path
from typing import Any
from sqlalchemy import create_engine, text
from sqlalchemy.engine import Connection
ROOT = Path(__file__).resolve().parents[1]
sys.path.insert(0, str(ROOT))
from app.core.config import get_settings # noqa: E402
from app.model import ( # noqa: E402,F401
advisor_product,
audit,
configuration,
conversation,
fund,
investment_goal,
memory,
platform,
session,
)
from app.model.base import Base # noqa: E402
BASELINE_DOC = ROOT / "docs" / "00-新数据库基线设计.md"
UNIQUE_KEY = "唯一键"
COMBINED_FLAG = "联合唯一键"
COMBINED_KEY_RE = re.compile(UNIQUE_KEY + r"[^()]*\(([^)]+)\)")
SKIP_FIELDS = {"字段", "表名"}
def normalize(columns: Any) -> tuple[str, ...]:
"""列顺序不影响唯一性语义,排序后再比较以避免顺序噪音。"""
return tuple(dict.fromkeys(sorted(str(column) for column in columns)))
def document_unique_keys() -> dict[str, set[tuple[str, ...]]]:
"""解析基线文档中每个 `#### \\`表名\\`` 小节声明的唯一键。"""
document = BASELINE_DOC.read_text(encoding="utf-8")
heads = list(re.finditer(r"(?m)^#### `([^`]+)`", document))
expected: dict[str, set[tuple[str, ...]]] = {}
for index, match in enumerate(heads):
name = match.group(1)
following = re.search(r"(?m)^#{3,5} ", document[match.end():])
end = match.end() + following.start() if following else len(document)
keys: set[tuple[str, ...]] = set()
combined_flag_columns: list[str] = []
for line in document[match.end():end].splitlines():
if not line.startswith("|"):
continue
cells = [cell.strip() for cell in line.strip().strip("|").split("|")]
if len(cells) < 3:
continue
field, rule = cells[0].strip("`"), cells[2]
if not field or field in SKIP_FIELDS or set(field) <= {"-", " "}:
continue
matched = False
for raw in COMBINED_KEY_RE.findall(rule):
columns = tuple(
dict.fromkeys(cell.strip().strip("`") for cell in raw.split(",") if cell.strip())
)
if columns:
keys.add(normalize(columns))
matched = True
if COMBINED_FLAG in rule:
combined_flag_columns.append(field)
elif UNIQUE_KEY in rule and not matched:
keys.add((field,))
if len(set(combined_flag_columns)) > 1:
keys.add(normalize(combined_flag_columns))
if keys:
expected[name] = keys
return expected
def database_unique_keys(connection: Connection) -> dict[str, set[tuple[str, ...]]]:
rows = connection.execute(
text(
"""
SELECT TABLE_NAME, INDEX_NAME, COLUMN_NAME, SEQ_IN_INDEX
FROM information_schema.STATISTICS
WHERE TABLE_SCHEMA = DATABASE() AND NON_UNIQUE = 0 AND INDEX_NAME <> 'PRIMARY'
ORDER BY TABLE_NAME, INDEX_NAME, SEQ_IN_INDEX
"""
)
).all()
grouped: dict[tuple[str, str], list[str]] = {}
for table, index, column, _sequence in rows:
grouped.setdefault((table, index), []).append(column)
result: dict[str, set[tuple[str, ...]]] = {}
for (table, _index), columns in grouped.items():
result.setdefault(table, set()).add(normalize(columns))
return result
def orm_columns() -> dict[str, set[str]]:
return {
table.name: {column.name for column in table.columns}
for table in Base.metadata.sorted_tables
}
def database_columns(
connection: Connection,
) -> tuple[dict[str, set[str]], dict[str, set[str]]]:
"""返回 (普通列, 生成列)。生成列由 MySQL 计算,不要求 ORM 映射。"""
rows = connection.execute(
text(
"""
SELECT TABLE_NAME, COLUMN_NAME, GENERATION_EXPRESSION
FROM information_schema.COLUMNS
WHERE TABLE_SCHEMA = DATABASE()
"""
)
).all()
plain: dict[str, set[str]] = {}
generated: dict[str, set[str]] = {}
for table, column, expression in rows:
target = generated if str(expression or "").strip() else plain
target.setdefault(table, set()).add(column)
return plain, generated
def main() -> int:
settings = get_settings()
engine = create_engine(settings.mysql_dsn.replace("mysql+asyncmy", "mysql+pymysql"))
constraint_problems: list[str] = []
mapping_problems: list[str] = []
generated_columns: list[str] = []
with engine.connect() as connection:
expected = document_unique_keys()
actual = database_unique_keys(connection)
for table in sorted(expected):
existing = actual.get(table, set())
for key in sorted(expected[table] - existing):
constraint_problems.append(f"[{table}] MISSING in DB : UNIQUE ({', '.join(key)})")
for key in sorted(existing - expected[table]):
constraint_problems.append(f"[{table}] EXTRA in DB : UNIQUE ({', '.join(key)})")
orm = orm_columns()
database, generated = database_columns(connection)
for table in sorted(orm):
if table not in database:
mapping_problems.append(f"[{table}] ORM table does not exist in database")
continue
for column in sorted(orm[table] - database[table]):
mapping_problems.append(f"[{table}] ORM column not in DB : {column}")
for column in sorted(database[table] - orm[table]):
if column in generated.get(table, set()):
generated_columns.append(f"[{table}].{column}")
continue
mapping_problems.append(f"[{table}] DB column not mapped : {column}")
engine.dispose()
print(f"constraint check: {len(expected)} documented tables compared")
if constraint_problems:
print("--- unique key mismatches ---")
for problem in constraint_problems:
print(" " + problem)
if mapping_problems:
print("--- orm/database mapping mismatches ---")
for problem in mapping_problems:
print(" " + problem)
if generated_columns:
print(f"note: {len(generated_columns)} generated column(s) intentionally not mapped: "
+ ", ".join(generated_columns))
total = len(constraint_problems) + len(mapping_problems)
if total:
print(f"\nFAILED: {total} mismatch(es) "
f"(constraints={len(constraint_problems)}, mapping={len(mapping_problems)})")
return 1
print("\nPASSED: unique keys and ORM mappings match the baseline")
return 0
if __name__ == "__main__":
raise SystemExit(main())