Files
skill-template/scripts/db/display_metadata_validator.py

477 lines
18 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
"""数据管理展示元数据校验(模板开发自检,不依赖宿主)。"""
from __future__ import annotations
import json
import os
import re
import sqlite3
from dataclasses import dataclass, field
from db.display_metadata import (
DATETIME_UNIX_SECONDS,
METADATA_TABLES,
STANDARD_TIMESTAMP_COLUMNS,
TASK_LOGS_COLUMN_METADATA,
TASK_LOGS_TABLE,
iter_user_tables,
list_editable_business_columns,
list_physical_column_names,
table_allows_manual_create,
)
from db.timestamp_columns import has_updated_at_trigger
from util.constants import SKILL_SLUG
from util.slug_naming import LEGACY_EXEMPT_SLUGS, validate_slug_semantics
_TEMPLATE_PLACEHOLDER_SLUGS = frozenset({"your-skill-slug", "your_skill_slug"})
_ENGLISH_PLACEHOLDER_NAME_PATTERNS = (
re.compile(r"^my\s+skill$", re.I),
re.compile(r"^your[-_\s]?skill", re.I),
re.compile(r"^skill[-_\s]?template$", re.I),
re.compile(r"^[a-z0-9_-]+$"),
)
_KEBAB_SLUG = re.compile(r"^[a-z0-9]+(?:-[a-z0-9]+)*$")
_CJK_RE = re.compile(r"[\u4e00-\u9fff]")
@dataclass
class ValidationReport:
errors: list[str] = field(default_factory=list)
warnings: list[str] = field(default_factory=list)
@property
def ok(self) -> bool:
return not self.errors
def _has_cjk(text: str) -> bool:
return bool(_CJK_RE.search(text))
def _looks_like_raw_physical_name(display_name: str, physical_name: str) -> bool:
if not display_name.strip():
return True
if display_name.strip().lower() == physical_name.strip().lower():
return True
compact = display_name.replace(" ", "").replace("_", "").lower()
if compact == physical_name.replace("_", "").lower():
return True
return False
def _parse_frontmatter_field(text: str, field_name: str) -> str:
parts = text.split("---", 2)
if len(parts) < 2:
return ""
for line in parts[1].splitlines():
match = re.match(rf"^{re.escape(field_name)}:\s*(.+)\s*$", line.strip())
if match:
return match.group(1).strip().strip("\"'")
return ""
def _parse_openclaw_slug(text: str) -> str:
parts = text.split("---", 2)
if len(parts) < 2:
return ""
lines = parts[1].splitlines()
for index, line in enumerate(lines):
if re.match(r"^\s+openclaw:\s*$", line):
for inner in lines[index + 1 :]:
if inner.strip() and inner[0] not in (" ", "\t"):
break
match = re.match(r"^(\s+)slug:\s*(.+)\s*$", inner)
if match:
return match.group(2).strip().strip("\"'")
return ""
def parse_skill_frontmatter(skill_root: str) -> dict[str, str]:
path = os.path.join(skill_root, "SKILL.md")
with open(path, encoding="utf-8") as f:
text = f.read()
return {
"name": _parse_frontmatter_field(text, "name"),
"slug": _parse_openclaw_slug(text),
}
def validate_skill_frontmatter(skill_root: str, *, allow_template_placeholders: bool = True) -> ValidationReport:
report = ValidationReport()
data = parse_skill_frontmatter(skill_root)
name = str(data.get("name") or "").strip()
slug = str(data.get("slug") or "").strip()
if not name:
report.errors.append("SKILL.md frontmatter.name 缺失")
elif not _has_cjk(name):
if allow_template_placeholders and slug in _TEMPLATE_PLACEHOLDER_SLUGS:
report.warnings.append("SKILL.md frontmatter.name 建议使用清晰的中文业务名称(模板占位可暂保留)")
else:
report.errors.append("SKILL.md frontmatter.name 应使用用户可见的中文业务名称")
else:
for pattern in _ENGLISH_PLACEHOLDER_NAME_PATTERNS:
if pattern.fullmatch(name):
if allow_template_placeholders and slug in _TEMPLATE_PLACEHOLDER_SLUGS:
report.warnings.append(f"SKILL.md frontmatter.name 仍为占位风格:{name!r}")
else:
report.errors.append(f"SKILL.md frontmatter.name 不应为英文占位名:{name!r}")
break
if not slug:
report.errors.append("SKILL.md metadata.openclaw.slug 缺失")
elif not _KEBAB_SLUG.fullmatch(slug):
report.errors.append(f"metadata.openclaw.slug 必须为 kebab-case{slug!r}")
elif slug in _TEMPLATE_PLACEHOLDER_SLUGS and not allow_template_placeholders:
report.errors.append(f"metadata.openclaw.slug 仍为模板占位:{slug!r}")
constants_slug = SKILL_SLUG.strip()
if slug and constants_slug and slug != constants_slug:
report.warnings.append(
f"SKILL.md slug ({slug!r}) 与 util.constants.SKILL_SLUG ({constants_slug!r}) 不一致"
)
if slug and slug not in LEGACY_EXEMPT_SLUGS and _KEBAB_SLUG.fullmatch(slug):
naming_errors, naming_warnings = validate_slug_semantics(
slug,
strict=not allow_template_placeholders,
)
report.errors.extend(naming_errors)
report.warnings.extend(naming_warnings)
return report
def _quote_identifier(name: str) -> str:
return '"' + name.replace('"', '""') + '"'
def _table_column_info(cursor, table_name: str) -> dict[str, dict[str, object]]:
cursor.execute(f"PRAGMA table_info({_quote_identifier(table_name)})")
info: dict[str, dict[str, object]] = {}
for row in cursor.fetchall():
info[str(row[1])] = {
"cid": int(row[0]),
"name": str(row[1]),
"type": str(row[2] or ""),
"notnull": int(row[3] or 0),
"dflt_value": row[4],
"pk": int(row[5] or 0),
}
return info
def _default_uses_unixepoch(default_value: object) -> bool:
if default_value is None:
return False
text = str(default_value).strip().lower()
return "unixepoch" in text
def validate_options_json(options_json: str | None) -> tuple[list[str], list[str]]:
"""校验枚举 options_json 可被解析为 [{value, label}, ...] 结构。"""
errors: list[str] = []
warnings: list[str] = []
if options_json is None or str(options_json).strip() == "":
return errors, warnings
try:
parsed = json.loads(str(options_json))
except json.JSONDecodeError as exc:
errors.append(f"options_json 不是合法 JSON{exc}")
return errors, warnings
if not isinstance(parsed, list):
errors.append("options_json 必须是 JSON 数组")
return errors, warnings
for index, item in enumerate(parsed):
if not isinstance(item, dict):
errors.append(f"options_json[{index}] 必须是对象")
continue
if "value" not in item or "label" not in item:
errors.append(f"options_json[{index}] 必须包含 value 与 label")
return errors, warnings
def validate_column_permissions(
cursor,
table_name: str,
*,
physical_columns: list[str] | None = None,
) -> tuple[list[str], list[str]]:
"""校验常见系统字段 editable=0并识别技术上可写但不适合手工新增的表。"""
errors: list[str] = []
warnings: list[str] = []
ordered = physical_columns or list_physical_column_names(cursor, table_name)
column_info = _table_column_info(cursor, table_name)
cursor.execute(
"""
SELECT column_name, editable, options_json
FROM _jiangchang_columns
WHERE table_name = ?
""",
(table_name,),
)
meta_by_column = {
str(row[0]): {"editable": row[1], "options_json": row[2]}
for row in cursor.fetchall()
}
for column_name in ordered:
meta = meta_by_column.get(column_name)
if not meta:
continue
physical = column_info.get(column_name) or {}
pk = int(physical.get("pk") or 0)
editable = meta["editable"]
if pk and editable is not None and int(editable) != 0:
errors.append(f"{table_name}.{column_name} 是主键editable 应为 0")
if column_name == "id" and editable is not None and int(editable) != 0:
errors.append(f"{table_name}.id 的 editable 应为 0自增主键")
opt_errors, _ = validate_options_json(meta.get("options_json"))
for item in opt_errors:
errors.append(f"{table_name}.{column_name}: {item}")
cursor.execute(
"SELECT readonly FROM _jiangchang_tables WHERE table_name = ?",
(table_name,),
)
readonly_row = cursor.fetchone()
readonly = int(readonly_row[0]) if readonly_row else None
editable_columns = list_editable_business_columns(cursor, table_name)
if readonly == 0 and not editable_columns:
warnings.append(
f"{table_name}: 表级 readonly=0 但所有字段 editable=0"
"宿主不应打开空白新增表单;数据应由技能业务流程产生"
)
if readonly == 1 and editable_columns:
warnings.append(
f"{table_name}: 表级 readonly=1 但存在 editable=1 字段,"
"宿主应以表级只读为准"
)
return errors, warnings
def _expected_timestamp_display_name(column_name: str) -> str:
if column_name == "created_at":
return "创建时间"
if column_name == "updated_at":
return "更新时间"
return ""
def validate_standard_timestamp_columns(
cursor,
table_name: str,
*,
physical_columns: list[str] | None = None,
) -> tuple[list[str], list[str]]:
errors: list[str] = []
warnings: list[str] = []
ordered = physical_columns or list_physical_column_names(cursor, table_name)
column_info = _table_column_info(cursor, table_name)
for column_name in STANDARD_TIMESTAMP_COLUMNS:
if column_name not in ordered:
continue
physical = column_info.get(column_name)
if not physical:
errors.append(f"{table_name}.{column_name} 缺少物理字段定义")
continue
if "INT" not in str(physical["type"]).upper():
errors.append(
f"{table_name}.{column_name} 字段类型应为 INTEGERUnix 秒级时间戳),当前为 {physical['type']!r}"
)
if column_name == "created_at" and not _default_uses_unixepoch(physical["dflt_value"]):
errors.append(
f"{table_name}.created_at 应设置数据库默认值 DEFAULT (unixepoch()),当前默认值为 {physical['dflt_value']!r}"
)
if column_name == "updated_at" and not _default_uses_unixepoch(physical["dflt_value"]):
errors.append(
f"{table_name}.updated_at 应设置数据库初始默认值 DEFAULT (unixepoch()),当前默认值为 {physical['dflt_value']!r}"
)
cursor.execute(
"""
SELECT display_name, display_type, editable, searchable, display_order
FROM _jiangchang_columns
WHERE table_name = ? AND column_name = ?
""",
(table_name, column_name),
)
meta_row = cursor.fetchone()
if not meta_row:
errors.append(f"{table_name}.{column_name} 缺少 _jiangchang_columns 元数据")
continue
display_name, display_type, editable, searchable, display_order = meta_row
expected_name = _expected_timestamp_display_name(column_name)
if str(display_name or "").strip() != expected_name:
errors.append(
f"{table_name}.{column_name} 的 display_name 应为 {expected_name!r},当前为 {display_name!r}"
)
if str(display_type or "").strip() != DATETIME_UNIX_SECONDS:
errors.append(
f"{table_name}.{column_name} 的 display_type 应为 {DATETIME_UNIX_SECONDS!r},当前为 {display_type!r}"
)
if editable is None or int(editable) != 0:
errors.append(f"{table_name}.{column_name} 的 editable 应为 0系统时间字段不可编辑")
if display_order is not None:
errors.append(f"{table_name}.{column_name} 的 display_order 应为 NULL")
if searchable is not None and int(searchable) != 0:
warnings.append(f"{table_name}.{column_name} 的时间字段通常不必开启 searchable")
if "created_at" in ordered and "updated_at" in ordered:
if ordered.index("updated_at") < ordered.index("created_at"):
warnings.append(f"{table_name}: updated_at 不应出现在 created_at 之前")
if "updated_at" in ordered and not has_updated_at_trigger(cursor, table_name):
errors.append(
f"{table_name}.updated_at 缺少自动维护 trigger期望 {table_name}_set_updated_at"
)
return errors, warnings
def column_order_warnings(table_name: str, ordered_names: list[str]) -> list[str]:
warnings: list[str] = []
if "id" in ordered_names and ordered_names.index("id") != 0:
warnings.append(f"{table_name}: 字段 id 通常应定义在 CREATE TABLE 的第一列")
if "created_at" in ordered_names:
idx = ordered_names.index("created_at")
trailing = ordered_names[idx + 1 :]
if trailing and trailing != ["updated_at"]:
warnings.append(
f"{table_name}: created_at 之后通常只应跟 updated_at不应再放置其他业务字段"
)
if "updated_at" in ordered_names and "created_at" in ordered_names:
if ordered_names.index("updated_at") < ordered_names.index("created_at"):
warnings.append(f"{table_name}: updated_at 不应出现在 created_at 之前")
return warnings
def _table_exists(cursor, table_name: str) -> bool:
cursor.execute(
"SELECT 1 FROM sqlite_master WHERE type = 'table' AND name = ? LIMIT 1",
(table_name,),
)
return cursor.fetchone() is not None
def validate_display_metadata(conn: sqlite3.Connection, *, check_column_order: bool = True) -> ValidationReport:
report = ValidationReport()
cur = conn.cursor()
has_tables_meta = _table_exists(cur, "_jiangchang_tables")
has_columns_meta = _table_exists(cur, "_jiangchang_columns")
if not has_tables_meta:
report.errors.append("缺少数据管理元数据表 _jiangchang_tables")
if not has_columns_meta:
report.errors.append("缺少数据管理元数据表 _jiangchang_columns")
if not has_tables_meta or not has_columns_meta:
return report
for table_name in iter_user_tables(cur):
cur.execute(
"SELECT display_name FROM _jiangchang_tables WHERE table_name = ?",
(table_name,),
)
row = cur.fetchone()
if not row or not str(row[0] or "").strip():
report.errors.append(f"业务表 {table_name!r} 缺少 _jiangchang_tables.display_name")
elif not _has_cjk(str(row[0])):
report.errors.append(f"业务表 {table_name!r} 的 display_name 应使用中文业务名称")
physical_columns = list_physical_column_names(cur, table_name)
if check_column_order:
report.warnings.extend(column_order_warnings(table_name, physical_columns))
for column_name in physical_columns:
cur.execute(
"""
SELECT display_name, visible
FROM _jiangchang_columns
WHERE table_name = ? AND column_name = ?
""",
(table_name, column_name),
)
col_row = cur.fetchone()
if not col_row:
report.errors.append(
f"字段 {table_name}.{column_name} 缺少 _jiangchang_columns 元数据"
)
continue
display_name = str(col_row[0] or "").strip()
visible = col_row[1] is None or int(col_row[1]) != 0
if visible and not display_name:
report.errors.append(f"字段 {table_name}.{column_name} 的 display_name 为空")
elif visible and _looks_like_raw_physical_name(display_name, column_name):
report.errors.append(
f"字段 {table_name}.{column_name} 的 display_name 不应直接等于英文物理名:{display_name!r}"
)
elif visible and not _has_cjk(display_name):
report.errors.append(
f"字段 {table_name}.{column_name} 的 display_name 应使用中文:{display_name!r}"
)
ts_errors, ts_warnings = validate_standard_timestamp_columns(
cur,
table_name,
physical_columns=physical_columns,
)
report.errors.extend(ts_errors)
report.warnings.extend(ts_warnings)
perm_errors, perm_warnings = validate_column_permissions(
cur,
table_name,
physical_columns=physical_columns,
)
report.errors.extend(perm_errors)
report.warnings.extend(perm_warnings)
cur.execute("SELECT table_name, column_name FROM _jiangchang_columns")
for table_name, column_name in cur.fetchall():
if table_name in METADATA_TABLES:
continue
cur.execute(
"SELECT 1 FROM sqlite_master WHERE type='table' AND name = ?",
(table_name,),
)
if not cur.fetchone():
report.errors.append(f"元数据引用了不存在的表:{table_name!r}")
continue
physical = list_physical_column_names(cur, str(table_name))
if str(column_name) not in physical:
report.errors.append(f"元数据引用了不存在的字段:{table_name}.{column_name}")
cur.execute("SELECT table_name FROM _jiangchang_tables")
for (table_name,) in cur.fetchall():
if table_name in METADATA_TABLES:
continue
cur.execute(
"SELECT 1 FROM sqlite_master WHERE type='table' AND name = ?",
(table_name,),
)
if not cur.fetchone():
report.errors.append(f"元数据引用了不存在的表:{table_name!r}")
return report
def validate_template_database(conn: sqlite3.Connection) -> ValidationReport:
report = validate_display_metadata(conn)
physical = list_physical_column_names(conn.cursor(), TASK_LOGS_TABLE)
expected = [str(item["column_name"]) for item in TASK_LOGS_COLUMN_METADATA]
if physical != expected:
report.errors.append(
f"task_logs 物理字段顺序应为 {expected},当前为 {physical}"
)
return report