feat: 结题报告初稿助手首版 v1.0.1(draft-closing-report-default)
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chenfuqiang
2026-09-13 16:04:01 +08:00
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scripts/cli/app.py Normal file
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"""CLI:argparse 与分发(结题报告初稿助手)。
只负责参数解析并转交 service;业务内核在 draft_service / ledger_service / docx_service,
勿在此按入口复制逻辑。
"""
from __future__ import annotations
import argparse
import sys
from typing import List, Optional
from service.task_service import (
cmd_add_achievement,
cmd_add_expense,
cmd_add_project,
cmd_config_path,
cmd_draft_batch_pending,
cmd_draft_report,
cmd_health,
cmd_import,
cmd_init_db,
cmd_list,
cmd_list_drafts,
cmd_render_html,
cmd_run,
cmd_show_draft,
cmd_stats,
cmd_version,
)
from util.config_bootstrap import bootstrap_skill_config
from util.argparse_zh import ZhArgumentParser
from util.constants import LOG_LOGGER_NAME, SKILL_SLUG
from util.logging_config import get_skill_logger, setup_skill_logging
def _cli_str_or_none(raw: Optional[str]) -> Optional[str]:
if raw is None:
return None
v = str(raw).strip()
return v or None
def _cli_float_or_none(raw: Optional[str]) -> Optional[float]:
raw = _cli_str_or_none(raw)
if raw is None:
return None
try:
return float(raw)
except ValueError:
return None
def _handle_run(args: argparse.Namespace) -> int:
tail = [str(x).strip() for x in (args.run_tail or []) if str(x).strip()]
if len(tail) > 2:
print("参数过多。")
print("用法:python main.py run [target [input_id]] | run [-t target] [-i input_id]")
return 1
t_target: Optional[str] = None
t_input: Optional[str] = None
if len(tail) == 2:
t_target, t_input = tail[0], tail[1]
elif len(tail) == 1:
if tail[0].isdigit():
t_input = tail[0]
else:
t_target = tail[0]
target = _cli_str_or_none(getattr(args, "target", None)) or t_target
input_id = _cli_str_or_none(getattr(args, "input_id", None)) or t_input
return cmd_run(target=target, input_id=input_id)
def _handle_add_project(args: argparse.Namespace) -> int:
return cmd_add_project(
project_no=str(args.project_no or "").strip(),
name=_cli_str_or_none(args.name) or "",
pi=_cli_str_or_none(args.pi) or "",
department=_cli_str_or_none(args.department) or "",
program=_cli_str_or_none(args.program) or "",
start=_cli_str_or_none(args.start) or "",
end=_cli_str_or_none(args.end) or "",
expected_json=_cli_str_or_none(args.expected_json) or "",
excerpt=_cli_str_or_none(args.excerpt) or "",
status=_cli_str_or_none(args.status) or "",
)
def _handle_import(args: argparse.Namespace) -> int:
return cmd_import(
projects_json=_cli_str_or_none(args.projects_json) or "",
achievements_json=_cli_str_or_none(args.achievements_json) or "",
expenses_json=_cli_str_or_none(args.expenses_json) or "",
)
def _handle_list(args: argparse.Namespace) -> int:
return cmd_list(
kind=_cli_str_or_none(args.kind) or "projects",
project_no=_cli_str_or_none(args.project_no) or "",
status=_cli_str_or_none(args.status) or "",
)
def _handle_render_html(args: argparse.Namespace) -> int:
report_id = getattr(args, "report_id", None)
return cmd_render_html(report_id=int(report_id) if report_id else None)
def _print_full_usage() -> None:
print("结题报告初稿助手(main.py)可用命令:")
print(" python main.py add-project --project-no X --name Y [--pi 张三] [--program 国自然青年] [--start D] [--end D]")
print(" [--expected-json '[{\"type\":\"论文\",\"target\":3,\"unit\":\"篇\"}]'] [--excerpt 摘句] [--status 待结题]")
print(" python main.py add-achievement --project-no X --type 论文 --title T [--venue 期刊] [--date D] [--representative 1]")
print(" python main.py add-expense --project-no X --category 差旅费 --amount 23000 [--date D] [--description 摘要]")
print(" python main.py import --projects-json F [--achievements-json F] [--expenses-json F]")
print(" python main.py list [projects|achievements|expenses] [--project-no X] [--status 待结题]")
print(" python main.py draft-report --project-no X # 主命令:生成 Word 初稿 + HTML 预览")
print(" python main.py draft-batch-pending # 批量生成全部待结题初稿")
print(" python main.py list-drafts [--limit N] | show-draft --id N | render-html [--report-id N]")
print(" python main.py stats")
print(" python main.py run [target [input_id]] [-t target] [-i input_id]")
print(" python main.py health | config-path | version | init-db")
def build_parser() -> ZhArgumentParser:
p = ZhArgumentParser(
prog="main.py",
description="结题报告初稿助手:对比预期指标与实际成果生成完成情况章节,决算明细转规范描述,组装可修改的 Word 版《结题报告(初稿)》。",
formatter_class=argparse.RawDescriptionHelpFormatter,
)
sub = p.add_subparsers(dest="cmd", required=True, parser_class=ZhArgumentParser)
sp = sub.add_parser("add-project", help="录入/更新结题项目(按项目编号幂等)")
sp.add_argument("--project-no", required=True, metavar="项目编号", dest="project_no")
sp.add_argument("--name", default=None, metavar="项目名称")
sp.add_argument("--pi", default=None, metavar="负责人")
sp.add_argument("--department", default=None, metavar="所属学院")
sp.add_argument("--program", default=None, metavar="项目类型")
sp.add_argument("--start", default=None, metavar="执行期开始")
sp.add_argument("--end", default=None, metavar="执行期结束")
sp.add_argument("--expected-json", default=None, metavar="预期指标JSON", dest="expected_json")
sp.add_argument("--excerpt", default=None, metavar="年度报告摘句")
sp.add_argument("--status", default=None, metavar="状态(待结题/初稿已生成/已提交)")
sp.set_defaults(handler=_handle_add_project)
sp = sub.add_parser("add-achievement", help="录入成果")
sp.add_argument("--project-no", required=True, metavar="项目编号", dest="project_no")
sp.add_argument("--type", required=True, metavar="类型(论文/专利/人才培养/其他)", dest="ach_type")
sp.add_argument("--title", required=True, metavar="成果名称")
sp.add_argument("--venue", default=None, metavar="期刊/专利号")
sp.add_argument("--date", default=None, metavar="日期")
sp.add_argument("--representative", default=None, metavar="代表性(1/0)")
sp.add_argument("--note", default=None, metavar="备注")
sp.set_defaults(
handler=lambda a: cmd_add_achievement(
project_no=str(a.project_no), ach_type=str(a.ach_type), title=str(a.title),
venue=_cli_str_or_none(a.venue) or "", date=_cli_str_or_none(a.date) or "",
representative=_cli_str_or_none(a.representative) or "", note=_cli_str_or_none(a.note) or "",
)
)
sp = sub.add_parser("add-expense", help="录入决算明细")
sp.add_argument("--project-no", required=True, metavar="项目编号", dest="project_no")
sp.add_argument("--category", required=True, metavar="科目")
sp.add_argument("--amount", required=True, type=float, metavar="金额(元)")
sp.add_argument("--date", default=None, metavar="发生日期")
sp.add_argument("--description", default=None, metavar="原始摘要")
sp.set_defaults(
handler=lambda a: cmd_add_expense(
project_no=str(a.project_no), category=str(a.category), amount=float(a.amount),
date=_cli_str_or_none(a.date) or "", description=_cli_str_or_none(a.description) or "",
)
)
sp = sub.add_parser("import", help="批量导入(projects/achievements/expenses JSON)")
sp.add_argument("--projects-json", default=None, metavar="项目JSON(file|-)", dest="projects_json")
sp.add_argument("--achievements-json", default=None, metavar="成果JSON(file|-)", dest="achievements_json")
sp.add_argument("--expenses-json", default=None, metavar="决算JSON(file|-)", dest="expenses_json")
sp.set_defaults(handler=_handle_import)
sp = sub.add_parser("list", help="查询台账(projects/achievements/expenses)")
sp.add_argument("--kind", default="projects", metavar="projects|achievements|expenses", dest="kind")
sp.add_argument("--project-no", default=None, metavar="项目编号", dest="project_no")
sp.add_argument("--status", default=None, metavar="状态筛选")
sp.set_defaults(handler=_handle_list)
sp = sub.add_parser("draft-report", help="生成结题报告初稿(主命令)")
sp.add_argument("--project-no", required=True, metavar="项目编号", dest="project_no")
sp.set_defaults(handler=lambda a: cmd_draft_report(project_no=str(a.project_no)))
sp = sub.add_parser("draft-batch-pending", help="批量生成全部待结题项目初稿")
sp.set_defaults(handler=lambda _a: cmd_draft_batch_pending())
sp = sub.add_parser("list-drafts", help="查询初稿记录")
sp.add_argument("--limit", default=20, metavar="条数")
sp.set_defaults(handler=lambda a: cmd_list_drafts(limit=int(a.limit or 20)))
sp = sub.add_parser("show-draft", help="查看初稿记录详情")
sp.add_argument("--id", required=True, type=int, metavar="记录编号", dest="draft_id")
sp.set_defaults(handler=lambda a: cmd_show_draft(draft_id=int(a.draft_id)))
sp = sub.add_parser("render-html", help="重建 HTML 预览(缺省最近 10 份)")
sp.add_argument("--report-id", default=None, metavar="记录编号", dest="report_id")
sp.set_defaults(handler=_handle_render_html)
sp = sub.add_parser("stats", help="统计")
sp.set_defaults(handler=lambda _a: cmd_stats())
sp = sub.add_parser("run", help="任务执行命令骨架")
sp.add_argument("--target", "-t", default=None, metavar="目标")
sp.add_argument("--input-id", "-i", default=None, metavar="输入id", dest="input_id")
sp.add_argument("run_tail", nargs="*", metavar="位置参数")
sp.set_defaults(handler=_handle_run)
sp = sub.add_parser("health", help="健康检查")
sp.set_defaults(handler=lambda _a: cmd_health())
sp = sub.add_parser("config-path", help="输出用户 .env 与模板路径")
sp.set_defaults(handler=lambda _a: cmd_config_path())
sp = sub.add_parser("version", help="版本信息(JSON)")
sp.set_defaults(handler=lambda _a: cmd_version())
sp = sub.add_parser("init-db", help="幂等初始化本地数据库与数据管理元数据")
sp.set_defaults(handler=lambda _a: cmd_init_db())
return p
def main(argv: Optional[List[str]] = None) -> int:
argv = argv if argv is not None else sys.argv[1:]
bootstrap_skill_config()
setup_skill_logging(SKILL_SLUG, LOG_LOGGER_NAME)
get_skill_logger().info("cli_start argv=%s", sys.argv)
if not argv:
_print_full_usage()
return 1
parser = build_parser()
args = parser.parse_args(argv)
return int(args.handler(args))

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"""SQLite 连接与幂等初始化(结题报告初稿助手)。
业务表 4 张:
- closing_projects(结题项目,含预期指标,可编辑)
- achievements(成果清单,可编辑)
- expense_items(决算明细,可编辑)
- report_drafts(初稿记录,只读,生成自动写入)
表间禁止 SQLite 外键,仅存业务 id(见 references/SCHEMA.md)。
"""
from __future__ import annotations
import sqlite3
from db.display_metadata import (
init_display_metadata,
seed_column_metadata_batch,
upsert_table_metadata,
)
from db.timestamp_columns import init_updated_at_trigger
from util.runtime_paths import get_db_path
def get_conn() -> sqlite3.Connection:
return sqlite3.connect(get_db_path())
_CLOSING_PROJECTS_DDL = """
CREATE TABLE IF NOT EXISTS closing_projects (
id INTEGER PRIMARY KEY AUTOINCREMENT,
project_no TEXT NOT NULL UNIQUE,
project_name TEXT,
pi_name TEXT,
department TEXT,
program TEXT,
start_date TEXT,
end_date TEXT,
expected_json TEXT,
annual_report_excerpt TEXT,
status TEXT NOT NULL DEFAULT '待结题',
created_at INTEGER NOT NULL DEFAULT (unixepoch()),
updated_at INTEGER NOT NULL DEFAULT (unixepoch())
)
"""
_ACHIEVEMENTS_DDL = """
CREATE TABLE IF NOT EXISTS achievements (
id INTEGER PRIMARY KEY AUTOINCREMENT,
project_no TEXT NOT NULL,
achievement_type TEXT NOT NULL,
title TEXT,
venue_or_no TEXT,
ach_date TEXT,
is_representative INTEGER NOT NULL DEFAULT 0,
note TEXT,
created_at INTEGER NOT NULL DEFAULT (unixepoch()),
updated_at INTEGER NOT NULL DEFAULT (unixepoch())
)
"""
_EXPENSE_ITEMS_DDL = """
CREATE TABLE IF NOT EXISTS expense_items (
id INTEGER PRIMARY KEY AUTOINCREMENT,
project_no TEXT NOT NULL,
category TEXT NOT NULL,
amount REAL NOT NULL,
occurred_date TEXT,
description TEXT,
created_at INTEGER NOT NULL DEFAULT (unixepoch()),
updated_at INTEGER NOT NULL DEFAULT (unixepoch())
)
"""
_REPORT_DRAFTS_DDL = """
CREATE TABLE IF NOT EXISTS report_drafts (
id INTEGER PRIMARY KEY AUTOINCREMENT,
batch_no TEXT NOT NULL,
project_no TEXT,
project_name TEXT,
completion_json TEXT,
narrative_points_json TEXT,
draft_file TEXT,
preview_file TEXT,
created_at INTEGER NOT NULL DEFAULT (unixepoch())
)
"""
_REPORT_DRAFTS_INDEX = """
CREATE INDEX IF NOT EXISTS idx_report_drafts_batch
ON report_drafts(batch_no)
"""
_TS_COLUMN_NAMES = {"created_at", "updated_at"}
def _col(column_name: str, display_name: str, description: str, **extra: object) -> dict[str, object]:
base: dict[str, object] = {
"column_name": column_name,
"display_name": display_name,
"description": description,
"visible": 1,
"searchable": 0,
"editable": 0,
}
base.update(extra)
if column_name in _TS_COLUMN_NAMES:
base["display_type"] = "datetime_unix_seconds"
return base
_CLOSING_PROJECTS_COLUMNS: tuple[dict[str, object], ...] = (
_col("id", "编号", "主键", searchable=1),
_col("project_no", "项目编号", "项目唯一编号。", searchable=1),
_col("project_name", "项目名称", "项目全称。", searchable=1, editable=1),
_col("pi_name", "负责人", "项目负责人姓名。", searchable=1, editable=1),
_col("department", "所属学院", "二级学院/单位。", searchable=1, editable=1),
_col("program", "项目类型", "如 国家自然科学基金(青年/面上)。", searchable=1, editable=1),
_col("start_date", "执行期开始", "YYYY-MM-DD。", searchable=1, editable=1),
_col("end_date", "执行期结束", "YYYY-MM-DD。", searchable=1, editable=1),
_col("expected_json", "预期成果指标", "如 [{\"type\":\"论文\",\"target\":3,\"unit\":\"篇\"}]。", visible=0, display_type="textarea", editable=1),
_col("annual_report_excerpt", "年度报告摘句", "年度/中期报告关键句(分号分隔),供叙事素材。", visible=0, display_type="textarea", editable=1),
_col("status", "状态", "待结题 / 初稿已生成 / 已提交。", searchable=1, editable=1, options_json='[{"value":"待结题","label":"待结题"},{"value":"初稿已生成","label":"初稿已生成"},{"value":"已提交","label":"已提交"}]'),
_col("created_at", "创建时间", "记录创建时间(Unix 秒级,自动生成)。"),
_col("updated_at", "更新时间", "记录最后更新时间(Unix 秒级,自动维护)。"),
)
_ACHIEVEMENTS_COLUMNS: tuple[dict[str, object], ...] = (
_col("id", "编号", "主键", searchable=1),
_col("project_no", "项目编号", "所属项目编号。", searchable=1),
_col("achievement_type", "成果类型", "论文 / 专利 / 人才培养 / 其他。", searchable=1, editable=1, options_json='[{"value":"论文","label":"论文"},{"value":"专利","label":"专利"},{"value":"人才培养","label":"人才培养"},{"value":"其他","label":"其他"}]'),
_col("title", "成果名称", "论文标题/专利名/成果描述。", searchable=1, editable=1),
_col("venue_or_no", "期刊/专利号", "发表期刊或专利号。", editable=1),
_col("ach_date", "日期", "发表/授权日期(YYYY-MM-DD)。", editable=1),
_col("is_representative", "代表性成果", "1=代表本项目的标志性成果。", searchable=1, editable=1),
_col("note", "备注", "说明。", editable=1),
_col("created_at", "创建时间", "记录创建时间(Unix 秒级,自动生成)。"),
_col("updated_at", "更新时间", "记录最后更新时间(Unix 秒级,自动维护)。"),
)
_EXPENSE_ITEMS_COLUMNS: tuple[dict[str, object], ...] = (
_col("id", "编号", "主键", searchable=1),
_col("project_no", "项目编号", "所属项目编号。", searchable=1),
_col("category", "科目", "决算科目,如 差旅费、设备费。", searchable=1, editable=1),
_col("amount", "金额", "支出金额(元)。", searchable=1, editable=1, display_type="number"),
_col("occurred_date", "发生日期", "YYYY-MM-DD。", editable=1),
_col("description", "原始摘要", "流水描述,供语义化转换参考。", visible=0, display_type="textarea", editable=1),
_col("created_at", "创建时间", "记录创建时间(Unix 秒级,自动生成)。"),
_col("updated_at", "更新时间", "记录最后更新时间(Unix 秒级,自动维护)。"),
)
_REPORT_DRAFTS_COLUMNS: tuple[dict[str, object], ...] = (
_col("id", "记录编号", "主键,初稿记录编号。", searchable=1),
_col("batch_no", "生成批次号", "同一次生成请求的批次号。", searchable=1),
_col("project_no", "项目编号", "初稿对应项目。", searchable=1),
_col("project_name", "项目名称", "初稿对应项目名。", searchable=1),
_col("completion_json", "指标对比", "预期 vs 实际对比(JSON)。", visible=0, display_type="textarea"),
_col("narrative_points_json", "叙事素材要点", "从成果与年度报告提取的要点(JSON)。", visible=0, display_type="textarea"),
_col("draft_file", "Word 初稿", "生成的 docx 文件路径。", visible=0),
_col("preview_file", "预览文件", "HTML 预览文件路径。", visible=0),
_col("created_at", "创建时间", "记录创建时间(Unix 秒级,自动生成)。"),
)
def _init_closing_projects_metadata(cursor) -> None:
cursor.execute(_CLOSING_PROJECTS_DDL)
init_updated_at_trigger(cursor, "closing_projects")
upsert_table_metadata(
cursor,
table_name="closing_projects",
display_name="结题项目",
description="待结题项目与预期成果指标;初稿生成的数据源。",
grid_help="预期指标为 JSON 数组(type/target/unit);顶栏按钮可录入,行内可编辑。",
visible=1,
readonly=0,
default_sort_json='[{"column":"id","direction":"desc"}]',
default_visible_columns_json='["project_no","project_name","pi_name","program","end_date","status"]',
)
seed_column_metadata_batch(
cursor,
table_name="closing_projects",
columns=_CLOSING_PROJECTS_COLUMNS,
valid_column_names=[str(c["column_name"]) for c in _CLOSING_PROJECTS_COLUMNS],
)
def _init_achievements_metadata(cursor) -> None:
cursor.execute(_ACHIEVEMENTS_DDL)
init_updated_at_trigger(cursor, "achievements")
upsert_table_metadata(
cursor,
table_name="achievements",
display_name="成果清单",
description="实际取得的论文/专利/人才培养等成果;完成情况章节的数据源。",
grid_help="按项目编号关联;代表性成果会优先进入初稿素材。",
visible=1,
readonly=0,
)
seed_column_metadata_batch(
cursor,
table_name="achievements",
columns=_ACHIEVEMENTS_COLUMNS,
valid_column_names=[str(c["column_name"]) for c in _ACHIEVEMENTS_COLUMNS],
)
def _init_expense_items_metadata(cursor) -> None:
cursor.execute(_EXPENSE_ITEMS_DDL)
init_updated_at_trigger(cursor, "expense_items")
upsert_table_metadata(
cursor,
table_name="expense_items",
display_name="决算明细",
description="经费流水明细;决算章节的数据源。",
grid_help="金额单位元;按科目汇总后自动生成规范描述句。",
visible=1,
readonly=0,
)
seed_column_metadata_batch(
cursor,
table_name="expense_items",
columns=_EXPENSE_ITEMS_COLUMNS,
valid_column_names=[str(c["column_name"]) for c in _EXPENSE_ITEMS_COLUMNS],
)
def _init_report_drafts_metadata(cursor) -> None:
cursor.execute(_REPORT_DRAFTS_DDL)
cursor.execute(_REPORT_DRAFTS_INDEX)
upsert_table_metadata(
cursor,
table_name="report_drafts",
display_name="初稿记录",
description="每次生成的初稿记录:指标对比、素材要点与文件路径。",
grid_help="Word 文件在 output 目录可下载;HTML 预览在侧栏查看。",
visible=1,
readonly=1,
default_sort_json='[{"column":"id","direction":"desc"}]',
default_visible_columns_json='["id","project_no","project_name","created_at"]',
)
seed_column_metadata_batch(
cursor,
table_name="report_drafts",
columns=_REPORT_DRAFTS_COLUMNS,
valid_column_names=[str(c["column_name"]) for c in _REPORT_DRAFTS_COLUMNS],
)
def init_db() -> dict[str, int]:
"""幂等创建/迁移本地 SQLite 与数据管理元数据。"""
conn = get_conn()
try:
cur = conn.cursor()
init_display_metadata(cur)
_init_closing_projects_metadata(cur)
_init_achievements_metadata(cur)
_init_expense_items_metadata(cur)
_init_report_drafts_metadata(cur)
conn.commit()
return {}
finally:
conn.close()

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"""匠厂数据管理展示元数据(_jiangchang_tables / _jiangchang_columns)。
SQLite 无原生表/字段 COMMENT;中文展示名称通过这两张元数据表提供给宿主「数据管理」页面。
字段在界面上的顺序由 CREATE TABLE / PRAGMA table_info(cid) 决定,**不**使用 display_order 排序。
"""
from __future__ import annotations
from typing import Iterable
# 宿主会隐藏这些表,不作为业务表展示(见 jiangchang electron/data-management/types.ts)
INTERNAL_METADATA_TABLES = frozenset({"_jiangchang_tables", "_jiangchang_columns"})
LEGACY_METADATA_TABLES = frozenset({"_schema_meta"})
METADATA_TABLES = INTERNAL_METADATA_TABLES | LEGACY_METADATA_TABLES
DATETIME_UNIX_SECONDS = "datetime_unix_seconds"
STANDARD_TIMESTAMP_COLUMNS = frozenset({"created_at", "updated_at"})
_JIANGCHANG_TABLES_DDL = """
CREATE TABLE IF NOT EXISTS _jiangchang_tables (
table_name TEXT PRIMARY KEY,
display_name TEXT NOT NULL,
description TEXT,
grid_help TEXT,
sort_order INTEGER,
visible INTEGER NOT NULL DEFAULT 1,
readonly INTEGER NOT NULL DEFAULT 0,
default_sort_json TEXT,
default_visible_columns_json TEXT
)
"""
_JIANGCHANG_COLUMNS_DDL = """
CREATE TABLE IF NOT EXISTS _jiangchang_columns (
table_name TEXT NOT NULL,
column_name TEXT NOT NULL,
display_name TEXT NOT NULL,
description TEXT,
grid_help TEXT,
display_order INTEGER,
visible INTEGER NOT NULL DEFAULT 1,
searchable INTEGER NOT NULL DEFAULT 1,
editable INTEGER NOT NULL DEFAULT 1,
display_type TEXT,
options_json TEXT,
PRIMARY KEY (table_name, column_name)
)
"""
def _pragma_column_names(cursor, table_name: str) -> set[str]:
cursor.execute(f"PRAGMA table_info({table_name!r})")
return {str(row[1]) for row in cursor.fetchall()}
def _ensure_jiangchang_tables_columns(cursor) -> None:
"""旧库补列:CREATE IF NOT EXISTS 不会给已有表加新字段。"""
cols = _pragma_column_names(cursor, "_jiangchang_tables")
if "default_sort_json" not in cols:
cursor.execute("ALTER TABLE _jiangchang_tables ADD COLUMN default_sort_json TEXT")
if "default_visible_columns_json" not in cols:
cursor.execute(
"ALTER TABLE _jiangchang_tables ADD COLUMN default_visible_columns_json TEXT"
)
if "grid_help" not in cols:
cursor.execute("ALTER TABLE _jiangchang_tables ADD COLUMN grid_help TEXT")
def _ensure_jiangchang_columns_columns(cursor) -> None:
cols = _pragma_column_names(cursor, "_jiangchang_columns")
if "grid_help" not in cols:
cursor.execute("ALTER TABLE _jiangchang_columns ADD COLUMN grid_help TEXT")
def init_display_metadata_tables(cursor) -> None:
cursor.execute(_JIANGCHANG_TABLES_DDL)
cursor.execute(_JIANGCHANG_COLUMNS_DDL)
_ensure_jiangchang_tables_columns(cursor)
_ensure_jiangchang_columns_columns(cursor)
def upsert_table_metadata(
cursor,
*,
table_name: str,
display_name: str,
description: str | None = None,
grid_help: str | None = None,
visible: int = 1,
readonly: int = 0,
default_sort_json: str | None = None,
default_visible_columns_json: str | None = None,
) -> None:
"""写入表级元数据。
default_sort_json: 宿主数据管理默认排序,JSON 数组,例如
'[{"column":"sent_at","direction":"desc"},{"column":"id","direction":"desc"}]'
为空则宿主回退到 updated_at → created_at → 主键。
default_visible_columns_json: 宿主数据管理默认展示列,JSON 字符串数组,例如
'["stat_type","period","stage"]'
为空则全显;用户改过「列」后以本机偏好为准(软默认,区别于 visible=0 硬隐藏)。
grid_help: 数据管理表格上方说明;空则不出横幅。与表单用的 description 独立,禁止互拷。
"""
cursor.execute(
"""
INSERT INTO _jiangchang_tables (
table_name, display_name, description, grid_help, visible, readonly,
default_sort_json, default_visible_columns_json
)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)
ON CONFLICT(table_name) DO UPDATE SET
display_name = excluded.display_name,
description = excluded.description,
grid_help = excluded.grid_help,
visible = excluded.visible,
readonly = excluded.readonly,
default_sort_json = excluded.default_sort_json,
default_visible_columns_json = excluded.default_visible_columns_json
""",
(
table_name,
display_name,
description,
grid_help,
visible,
readonly,
default_sort_json,
default_visible_columns_json,
),
)
def upsert_column_metadata(
cursor,
*,
table_name: str,
column_name: str,
display_name: str,
description: str | None = None,
grid_help: str | None = None,
visible: int = 1,
searchable: int = 1,
editable: int = 1,
display_type: str | None = None,
options_json: str | None = None,
) -> None:
# display_order 保留为 NULL:宿主按 PRAGMA table_info cid 展示字段,不读 display_order。
# grid_help: 表头「?」;空则不出。与表单用的 description 独立,禁止互拷。
cursor.execute(
"""
INSERT INTO _jiangchang_columns (
table_name, column_name, display_name, description, grid_help,
display_order, visible, searchable, editable, display_type, options_json
)
VALUES (?, ?, ?, ?, ?, NULL, ?, ?, ?, ?, ?)
ON CONFLICT(table_name, column_name) DO UPDATE SET
display_name = excluded.display_name,
description = excluded.description,
grid_help = excluded.grid_help,
display_order = NULL,
visible = excluded.visible,
searchable = excluded.searchable,
editable = excluded.editable,
display_type = excluded.display_type,
options_json = excluded.options_json
""",
(
table_name,
column_name,
display_name,
description,
grid_help,
visible,
searchable,
editable,
display_type,
options_json,
),
)
def seed_column_metadata_batch(
cursor,
*,
table_name: str,
columns: Iterable[dict[str, object]],
valid_column_names: Iterable[str] | None = None,
) -> None:
"""批量 upsert 字段元数据;传入 valid_column_names 时会在 upsert 后清理陈旧字段元数据。"""
for column in columns:
upsert_column_metadata(
cursor,
table_name=table_name,
column_name=str(column["column_name"]),
display_name=str(column["display_name"]),
description=str(column["description"]) if column.get("description") else None,
grid_help=str(column["grid_help"]) if column.get("grid_help") else None,
visible=int(column.get("visible", 1)),
searchable=int(column.get("searchable", 1)),
editable=int(column.get("editable", 1)),
display_type=str(column["display_type"]) if column.get("display_type") else None,
options_json=str(column["options_json"]) if column.get("options_json") else None,
)
if valid_column_names is not None:
prune_stale_column_metadata(cursor, table_name, valid_column_names)
def prune_stale_column_metadata(cursor, table_name: str, valid_column_names: Iterable[str]) -> None:
"""删除表中已不存在物理字段的元数据行(幂等初始化后不得残留旧字段)。"""
valid = set(valid_column_names)
cursor.execute(
"SELECT column_name FROM _jiangchang_columns WHERE table_name = ?",
(table_name,),
)
for (column_name,) in cursor.fetchall():
if str(column_name) not in valid:
cursor.execute(
"DELETE FROM _jiangchang_columns WHERE table_name = ? AND column_name = ?",
(table_name, column_name),
)
def get_table_readonly(cursor, table_name: str) -> int | None:
cursor.execute(
"SELECT readonly FROM _jiangchang_tables WHERE table_name = ?",
(table_name,),
)
row = cursor.fetchone()
if not row:
return None
return int(row[0] or 0)
def get_column_editable(cursor, table_name: str, column_name: str) -> int | None:
cursor.execute(
"""
SELECT editable FROM _jiangchang_columns
WHERE table_name = ? AND column_name = ?
""",
(table_name, column_name),
)
row = cursor.fetchone()
if not row:
return None
return int(row[0] or 0)
def list_editable_business_columns(cursor, table_name: str) -> list[str]:
"""返回 editable=1 的业务字段名(不含宿主侧主键/generated 等二次过滤)。"""
physical = list_physical_column_names(cursor, table_name)
cursor.execute(
"""
SELECT column_name, editable
FROM _jiangchang_columns
WHERE table_name = ?
""",
(table_name,),
)
editable_set = {
str(column_name)
for column_name, editable in cursor.fetchall()
if editable is not None and int(editable) == 1
}
return [name for name in physical if name in editable_set]
def table_allows_manual_create(cursor, table_name: str) -> bool:
"""表级 readonly=0 且至少有一个 editable=1 字段时,宿主才应提供空白新增表单。"""
readonly = get_table_readonly(cursor, table_name)
if readonly is None or int(readonly) != 0:
return False
return bool(list_editable_business_columns(cursor, table_name))
def init_display_metadata(cursor) -> None:
init_display_metadata_tables(cursor)
def drop_deprecated_user_table(
cursor,
table_name: str,
*,
triggers: Iterable[str] | None = None,
) -> None:
"""永久退役用户可见表:删 trigger、DROP 物理表、清理展示元数据(幂等)。
用于废弃 task_logs 等旧表。禁止只删元数据而保留物理表。
见 references/SCHEMA.md「表增删改与退役」。
"""
for trigger_name in triggers or ():
cursor.execute(f"DROP TRIGGER IF EXISTS {trigger_name}")
default_updated_at = f"{table_name}_set_updated_at"
cursor.execute(f"DROP TRIGGER IF EXISTS {default_updated_at}")
cursor.execute(f"DROP TABLE IF EXISTS {_quote_identifier(table_name)}")
cursor.execute(
"DELETE FROM _jiangchang_columns WHERE table_name = ?",
(table_name,),
)
cursor.execute(
"DELETE FROM _jiangchang_tables WHERE table_name = ?",
(table_name,),
)
def iter_user_tables(cursor) -> Iterable[str]:
cursor.execute(
"SELECT name FROM sqlite_master WHERE type='table' AND name NOT LIKE 'sqlite_%' ORDER BY name"
)
for (name,) in cursor.fetchall():
if name in METADATA_TABLES:
continue
yield str(name)
def _quote_identifier(name: str) -> str:
return '"' + name.replace('"', '""') + '"'
def list_physical_column_names(cursor, table_name: str) -> list[str]:
cursor.execute(f"PRAGMA table_info({_quote_identifier(table_name)})")
rows = cursor.fetchall()
rows.sort(key=lambda row: int(row[0]))
return [str(row[1]) for row in rows]

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@@ -0,0 +1,592 @@
"""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,
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]")
_FK_DDL_PATTERN = re.compile(r"\bFOREIGN\s+KEY\b|\bREFERENCES\b", re.I)
@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 _table_column_xinfo(cursor, table_name: str) -> dict[str, dict[str, object]]:
"""PRAGMA table_xinfo 可识别 generated/hidden 字段(SQLite 3.31+)。"""
cursor.execute(f"PRAGMA table_xinfo({_quote_identifier(table_name)})")
info: dict[str, dict[str, object]] = {}
for row in cursor.fetchall():
hidden = int(row[6] or 0) if len(row) > 6 else 0
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),
"hidden": hidden,
}
return info
def _is_generated_column(xinfo: dict[str, object]) -> bool:
hidden = int(xinfo.get("hidden") or 0)
return hidden in (2, 3)
def _is_blob_column(column_info: dict[str, object]) -> bool:
return "BLOB" in str(column_info.get("type") or "").upper()
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 options_json:静态枚举数组,或 lookup 对象。"""
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 isinstance(parsed, dict):
for key in ("ref_table", "value_column", "label_column"):
if not str(parsed.get(key) or "").strip():
errors.append(f"options_json lookup 必须包含非空 {key}")
ident = re.compile(r"^[a-zA-Z_][a-zA-Z0-9_]*$")
for key in ("ref_table", "value_column", "label_column", "filter_column"):
raw = parsed.get(key)
if raw is None or raw == "":
continue
if not ident.match(str(raw)):
errors.append(f"options_json.{key} 必须是安全标识符,当前为 {raw!r}")
if parsed.get("filter_column") not in (None, "") and "filter_value" not in parsed:
warnings.append("options_json lookup 声明了 filter_column 但未提供 filter_value")
if "multiple" in parsed and not isinstance(parsed.get("multiple"), bool):
errors.append("options_json lookup.multiple 必须是布尔值")
return errors, warnings
if not isinstance(parsed, list):
errors.append("options_json 必须是 JSON 数组(静态枚举)或对象(lookup)")
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_filter_search_metadata(
cursor,
table_name: str,
) -> tuple[list[str], list[str]]:
"""对可见但未开启 searchable 的枚举 / boolean 列给出软建议。"""
warnings: list[str] = []
cursor.execute(
"""
SELECT column_name, visible, searchable, display_type, options_json
FROM _jiangchang_columns
WHERE table_name = ?
""",
(table_name,),
)
for column_name, visible, searchable, display_type, options_json in cursor.fetchall():
if visible is not None and int(visible) == 0:
continue
if searchable is not None and int(searchable) != 0:
continue
display_type_norm = str(display_type or "").strip()
is_boolean = display_type_norm == "boolean"
has_enum = False
if options_json is not None and str(options_json).strip():
opt_errors, _ = validate_options_json(options_json)
if not opt_errors:
try:
parsed = json.loads(str(options_json))
except json.JSONDecodeError:
parsed = None
has_enum = isinstance(parsed, list) and len(parsed) > 0
if not has_enum and not is_boolean:
continue
warnings.append(
f"{table_name}.{column_name}: 枚举/状态类列建议 searchable=1,"
"以便宿主列筛选与按中文 label 全局搜索(见 references/SCHEMA.md)"
)
return [], 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)
column_xinfo = _table_column_xinfo(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, meta in meta_by_column.items():
physical = column_info.get(column_name) or {}
xinfo = column_xinfo.get(column_name) or physical
if not physical and column_name not in column_xinfo:
continue
pk = int(physical.get("pk") or xinfo.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)")
if _is_generated_column(xinfo) and editable is not None and int(editable) != 0:
errors.append(f"{table_name}.{column_name} 是 generated 字段,editable 应为 0")
if _is_blob_column(physical or xinfo) and editable is not None and int(editable) != 0:
errors.append(f"{table_name}.{column_name} 是 BLOB 字段,editable 应为 0")
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 INTEGER(Unix 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_no_sqlite_foreign_keys(cursor) -> tuple[list[str], list[str]]:
"""业务表 DDL 不得含 FOREIGN KEY / REFERENCES(关联走 repository/service)。"""
errors: list[str] = []
cursor.execute(
"""
SELECT name, sql FROM sqlite_master
WHERE type = 'table' AND name NOT LIKE 'sqlite_%'
"""
)
for table_name, sql in cursor.fetchall():
if table_name in METADATA_TABLES:
continue
ddl = str(sql or "")
if ddl and _FK_DDL_PATTERN.search(ddl):
errors.append(
f"业务表 {table_name!r} 的 DDL 含 SQLite FOREIGN KEY/REFERENCES;"
"请改为业务 id 列 + repository/service 逻辑关联(见 references/SCHEMA.md)"
)
return errors, []
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
fk_errors, _ = validate_no_sqlite_foreign_keys(cur)
report.errors.extend(fk_errors)
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)
_, filter_warnings = validate_filter_search_metadata(cur, table_name)
report.warnings.extend(filter_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:
"""模板自检入口:校验展示元数据完整性,并扫描业务表 DDL 是否含 SQLite 外键。"""
return validate_display_metadata(conn)

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"""标准时间字段:Unix 秒级时间戳、默认值与 updated_at 自动维护。
业务表若包含 created_at / updated_at,在 CREATE TABLE 后调用
``init_updated_at_trigger(cursor, table_name)``。模板默认不建业务表。
"""
from __future__ import annotations
STANDARD_TIMESTAMP_COLUMNS = frozenset({"created_at", "updated_at"})
DATETIME_UNIX_SECONDS = "datetime_unix_seconds"
def updated_at_trigger_name(table_name: str) -> str:
return f"{table_name}_set_updated_at"
def _quote_identifier(name: str) -> str:
return '"' + name.replace('"', '""') + '"'
def init_updated_at_trigger(cursor, table_name: str) -> None:
"""幂等创建 {table}_set_updated_at:业务字段 UPDATE 后刷新 updated_at。"""
trigger = updated_at_trigger_name(table_name)
quoted = _quote_identifier(table_name)
quoted_trigger = _quote_identifier(trigger)
cursor.execute(
f"""
CREATE TRIGGER IF NOT EXISTS {quoted_trigger}
AFTER UPDATE ON {quoted}
FOR EACH ROW
BEGIN
UPDATE {quoted}
SET updated_at = unixepoch()
WHERE id = NEW.id AND updated_at = OLD.updated_at;
END
"""
)
def has_updated_at_trigger(cursor, table_name: str) -> bool:
trigger_name = updated_at_trigger_name(table_name)
cursor.execute(
"""
SELECT 1 FROM sqlite_master
WHERE type = 'trigger' AND name = ? AND tbl_name = ?
LIMIT 1
""",
(trigger_name, table_name),
)
return cursor.fetchone() is not None

38
scripts/main.py Normal file
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
skill-template CLI 入口。
复制为新技能后,请修改注释与常量,但保留当前分层结构:
cli(argv)→ service(业务编排)→ db(持久化)→ util(通用工具)。
jiangchang_skill_core 来自宿主共享 Python runtime 安装的 jiangchang-platform-kit,
不在技能仓库内 vendored。
"""
from __future__ import annotations
import os
import sys
if sys.platform == "win32":
import io
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding="utf-8", errors="replace")
sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding="utf-8", errors="replace")
_scripts_dir = os.path.dirname(os.path.abspath(__file__))
if _scripts_dir not in sys.path:
sys.path.insert(0, _scripts_dir)
from jiangchang_skill_core.runtime_env import apply_cli_local_defaults
apply_cli_local_defaults()
from util.config_bootstrap import bootstrap_skill_config
bootstrap_skill_config()
from cli.app import main
if __name__ == "__main__":
raise SystemExit(main())

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"""Word 初稿渲染(python-docx)。
初稿结构:封面信息 → 目录骨架 → 六章(3/4/5 章自动成文,1/2/6 章素材要点 + [待补充] 占位)。
写入技能 output/ 目录(用户可取)。python-docx 为技能特有依赖(requirements.txt 声明)。
"""
from __future__ import annotations
from typing import Any
from util.logging_config import get_skill_logger
from util.runtime_paths import get_output_dir
def _log():
try:
return get_skill_logger()
except RuntimeError:
return None
def _check_docx_available() -> None:
try:
import docx # noqa: F401
except ImportError as exc:
raise RuntimeError(
"python-docx 未安装(技能依赖安装异常);请重新安装技能,或先用 HTML 预览查看初稿内容。"
) from exc
def write_docx(project: dict[str, Any], sections: dict[str, list[str]], batch_no: str) -> str:
"""生成《结题报告(初稿)》docx,返回文件路径。"""
_check_docx_available()
import docx
from docx.shared import Pt
log = _log()
log.info("docx_render_start project_no=%s stage=docx", project.get("project_no"))
document = docx.Document()
title = document.add_heading("结题报告(初稿)", level=0)
title.alignment = 1
info_table = document.add_table(rows=0, cols=2)
info_table.style = "Table Grid"
for label, value in (
("项目名称", project.get("project_name")),
("项目编号", project.get("project_no")),
("项目负责人", project.get("pi_name")),
("所属学院", project.get("department")),
("项目类型", project.get("program")),
("执行周期", f"{project.get('start_date') or '—'} ~ {project.get('end_date') or '—'}"),
("生成批次", batch_no),
):
row = info_table.add_row().cells
row[0].text = str(label)
row[1].text = str(value if value not in (None, "") else "—")
document.add_heading("目录(骨架,终稿请按本单位模板调整)", level=1)
for section_title in sections:
document.add_paragraph(section_title, style="List Number")
for section_title, paragraphs in sections.items():
document.add_heading(section_title, level=1)
for paragraph in paragraphs:
text = str(paragraph)
p = document.add_paragraph()
run = p.add_run(text)
if text.startswith("[待补充"):
run.font.color.rgb = None # 占位文本以提示语区分,不依赖颜色
run.italic = True
notice = document.add_paragraph()
notice_run = notice.add_run(
"说明:本初稿由结题报告初稿助手按台账数据自动生成;数字章节(完成情况/决算/成果清单)请逐项核对,"
"叙事章节仅提供素材要点,须由项目负责人本人撰写终稿;严禁引入台账之外的成果或结论。"
)
notice_run.font.size = Pt(9)
project_no = str(project.get("project_no") or "未编号")
filename = f"结题报告初稿-{project_no}.docx"
path = get_output_dir() + "/" + filename
document.save(path)
log.info("docx_render_done project_no=%s path=%s stage=docx", project_no, path)
return path

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"""结题报告初稿生成内核(唯一业务内核)。
五步组装(对齐《核心建设内容:各部门"Skill"深度需求规格书》科研处 Skill 002):
C1 指标对比:按成果类型汇总实际数量 vs 预期指标 → 超额完成/持平/未达标/数据待补
C2 完成情况章节:逐指标成文 + 成果明细(来源标注)
C3 决算转换:按科目汇总金额与占比,生成规范描述句(金额不改写)
C4 素材要点:代表性成果与年度报告摘句逐条提取(标注来源)
C5 骨架组装:通用结题结构,叙事章节只放素材要点 + [待补充] 指引
W1 数据完整性:缺数据生成占位,不阻塞整稿
红线:初稿中每个数字都来自台账;严禁编造数据与虚构论文结论。
"""
from __future__ import annotations
import json
import uuid
from datetime import date
from typing import Any, Optional
from db.connection import get_conn, init_db
from util.logging_config import get_skill_logger
from util.timeutil import now_unix
_PLACEHOLDER = "[待补充:请结合素材要点与原始报告撰写,注意引用本人成果]"
_EXPENSE_SENTENCE_TEMPLATES = {
"设备费": "购置/使用科研设备",
"材料费": "采购实验材料",
"测试化验加工费": "开展测试化验与加工",
"燃料动力费": "支付燃料动力费用",
"差旅费": "赴外开展调研与学术交流",
"会议费": "组织/参加学术会议",
"国际合作与交流费": "开展国际合作与交流",
"出版/文献/信息传播/知识产权事务费": "支付出版与知识产权事务费用",
"劳务费": "支付参与项目的研究生与临时聘用人员劳务",
"专家咨询费": "支付专家咨询费用",
"其他": "其他与项目研究直接相关的支出",
}
def _log():
try:
return get_skill_logger()
except RuntimeError:
return None
def _wan(value: Optional[float]) -> str:
if value is None:
return "—"
return f"{value / 10000:.2f} 万元"
def _camel(name: str) -> str:
parts = str(name).split("_")
if len(parts) <= 1:
return str(name)
head, *rest = parts
return head + "".join(p[:1].upper() + p[1:] for p in rest if p)
def _snake(name: str) -> str:
return "".join("_" + ch.lower() if ch.isupper() else ch for ch in str(name)).lstrip("_")
def _norm_project(raw: dict[str, Any]) -> dict[str, Any]:
aliases = {
"projectNo": ("project_no", "项目编号"),
"projectName": ("project_name", "项目名称"),
"piName": ("pi_name", "负责人"),
"department": ("department", "学院", "所属学院"),
"program": ("program", "项目类型", "资助渠道"),
"startDate": ("start_date", "执行期开始", "开始日期"),
"endDate": ("end_date", "执行期结束", "结束日期"),
"expected": ("expected_json", "预期成果指标", "预期指标"),
"annualReportExcerpt": ("annual_report_excerpt", "年度报告摘句", "年度报告"),
"status": ("status", "状态"),
}
out: dict[str, Any] = {}
for key, value in raw.items():
out.setdefault(str(key), value)
for canonical, names in aliases.items():
if str(key) in names or _camel(str(key)) == canonical:
out.setdefault(canonical, value)
return out
def _norm_achievement(raw: dict[str, Any]) -> dict[str, Any]:
aliases = {
"projectNo": ("project_no", "项目编号"),
"achievementType": ("achievement_type", "成果类型", "类型"),
"title": ("title", "成果名称", "标题"),
"venueOrNo": ("venue_or_no", "期刊/专利号", "期刊", "专利号"),
"achDate": ("ach_date", "日期", "发表日期"),
"isRepresentative": ("is_representative", "代表性成果"),
"note": ("note", "备注"),
}
out: dict[str, Any] = {}
for key, value in raw.items():
out.setdefault(str(key), value)
for canonical, names in aliases.items():
if str(key) in names or _camel(str(key)) == canonical:
out.setdefault(canonical, value)
return out
def _norm_expense(raw: dict[str, Any]) -> dict[str, Any]:
aliases = {
"projectNo": ("project_no", "项目编号"),
"category": ("category", "科目"),
"amount": ("amount", "金额"),
"occurredDate": ("occurred_date", "发生日期"),
"description": ("description", "原始摘要", "描述"),
}
out: dict[str, Any] = {}
for key, value in raw.items():
out.setdefault(str(key), value)
for canonical, names in aliases.items():
if str(key) in names or _camel(str(key)) == canonical:
out.setdefault(canonical, value)
return out
def _c1_compare(expected: list[dict[str, Any]], achievements: list[dict[str, Any]]) -> list[dict[str, Any]]:
"""C1:按类型对比预期指标与实际成果。"""
counts: dict[str, int] = {}
for ach in achievements:
ach_type = str(ach.get("achievement_type") or "").strip()
counts[ach_type] = counts.get(ach_type, 0) + 1
rows = []
for item in expected:
item_type = str(item.get("type") or "").strip()
target = item.get("target")
try:
target_v = int(float(target))
except (TypeError, ValueError):
target_v = None
unit = str(item.get("unit") or "项")
actual = counts.get(item_type)
if target_v is None:
verdict, detail = "数据待补", f"预期指标未配置数值(类型:{item_type})"
elif actual is None:
verdict, detail = "未达标", f"预期 {target_v} {unit},台账中未录入该类成果"
else:
if actual > target_v:
verdict = "超额完成"
elif actual == target_v:
verdict = "持平"
else:
verdict = "未达标"
detail = f"预期 {target_v} {unit},实际 {actual} {unit},{verdict}"
rows.append({"type": item_type, "target": target_v, "unit": unit, "actual": actual, "verdict": verdict, "detail": detail})
return rows
def _c3_expense_sentences(expenses: list[dict[str, Any]], total_approved: Optional[float]) -> tuple[list[dict[str, Any]], str]:
"""C3:按科目汇总并生成规范描述句。返回 (rows, 汇总段落)。"""
by_category: dict[str, float] = {}
for item in expenses:
try:
amount = float(item.get("amount") or 0)
except (TypeError, ValueError):
amount = 0.0
category = str(item.get("category") or "其他").strip() or "其他"
by_category[category] = by_category.get(category, 0.0) + amount
total = round(sum(by_category.values()), 2)
rows = []
sentences = []
for category, amount in sorted(by_category.items(), key=lambda kv: -kv[1]):
ratio = round(amount / total, 4) if total > 0 else 0.0
action = _EXPENSE_SENTENCE_TEMPLATES.get(category, f"开展{category}相关支出")
sentence = f"{action},支出 {_wan(amount)},占比 {ratio * 100:.1f}%"
rows.append({"category": category, "amount": round(amount, 2), "ratio": ratio, "sentence": sentence})
sentences.append(sentence)
if not rows:
return [], "经费决算明细尚未录入,请在补录后重新生成初稿(W1)。"
tail = f"。项目决算合计支出 {_wan(total)}。"
if total_approved is not None:
tail += "支出总额控制在立项经费范围内。" if total <= total_approved else "支出总额超出立项经费,请补充说明。"
return rows, "本项目经费支出按科目如下:" + ";".join(sentences) + "。" + tail
def _c4_narrative_points(achievements: list[dict[str, Any]], excerpt: str) -> list[dict[str, str]]:
"""C4:从代表性成果与年度报告摘句提取叙事素材要点。"""
points = []
for ach in achievements:
if ach.get("is_representative"):
title = str(ach.get("title") or "").strip()
venue = str(ach.get("venue_or_no") or "").strip()
points.append({"source": "成果清单", "point": f"代表性成果:{title}" + (f"({venue})" if venue else "")})
for sentence in str(excerpt or "").replace(";", "。").split("。"):
sentence = sentence.strip()
if sentence:
points.append({"source": "年度报告", "point": sentence})
return points
def build_draft_sections(
project: dict[str, Any],
achievements: list[dict[str, Any]],
expenses: list[dict[str, Any]],
) -> dict[str, Any]:
"""组装初稿各章节数据(纯计算,不落库不出文件)。"""
import json as _json
project = _norm_project(project)
raw_expected = project.get("expected_json")
if raw_expected in (None, ""):
raw_expected = project.get("expected") or project.get("expectedJson") or []
if isinstance(raw_expected, str):
try:
expected = _json.loads(raw_expected)
except (TypeError, ValueError):
expected = []
elif isinstance(raw_expected, list):
expected = raw_expected
else:
expected = []
if isinstance(expected, dict):
expected = expected.get("indicators") or []
achievements = [{_snake(k): v for k, v in _norm_achievement(a).items()} for a in achievements]
expenses = [{_snake(k): v for k, v in _norm_expense(e).items()} for e in expenses]
completion = _c1_compare(expected, achievements)
expense_rows, expense_paragraph = _c3_expense_sentences(expenses, None)
excerpt = project.get("annual_report_excerpt") or project.get("annualReportExcerpt") or ""
narrative_points = _c4_narrative_points(achievements, str(excerpt))
achievement_lines = []
for ach in achievements:
title = str(ach.get("title") or "").strip()
venue = str(ach.get("venue_or_no") or "").strip()
ach_date = str(ach.get("ach_date") or "").strip()
line = f"{ach.get('achievement_type')}:{title}" + (f"({venue},{ach_date})" if venue or ach_date else "")
achievement_lines.append(line + "。来源:成果清单")
sections = {
"1. 研究背景与目标": [_PLACEHOLDER],
"2. 研究内容与进展": (
[f"· {p['point']}(来源:{p['source']})" for p in narrative_points] or [f"· {_PLACEHOLDER}"]
) + [_PLACEHOLDER],
"3. 预期成果完成情况": [f"{row['type']}:{row['detail']}。来源:预期指标与成果清单" for row in completion]
or ["预期成果指标未配置,请在项目台账补录后重新生成(W1)。"],
"4. 经费决算说明": [expense_paragraph, "明细:"] + [f"· {row['sentence']}" for row in expense_rows],
"5. 成果清单": achievement_lines or ["成果清单尚未录入,请在补录后重新生成初稿(W1)。"],
"6. 存在问题与展望": [_PLACEHOLDER],
}
return {
"completion": completion,
"expense_rows": expense_rows,
"expense_paragraph": expense_paragraph,
"narrative_points": narrative_points,
"achievement_lines": achievement_lines,
"sections": sections,
}
def run_draft(project_raw: dict[str, Any], achievements: list[dict[str, Any]], expenses: list[dict[str, Any]], *, batch_no: str = "") -> dict[str, Any]:
"""初稿内核:三步生成 → 写 docx + HTML 预览 → 落库。"""
from service.docx_service import write_docx
from service.report_service import write_preview_for_kernel
log = _log()
init_db()
project = _norm_project(project_raw)
project_no = str(project.get("project_no") or "").strip()
if not project_no:
raise ValueError("项目编号(project_no)不能为空")
batch_no = batch_no or now_unix().to_bytes(5, "big").hex() + uuid.uuid4().hex[:6]
if log:
log.info("draft_kernel_start batch_no=%s project_no=%s stage=kernel", batch_no, project_no)
sections_data = build_draft_sections(project, achievements, expenses)
sections = sections_data["sections"]
draft_file = write_docx(project, sections, batch_no)
draft = {
"project_no": project_no,
"project_name": str(project.get("project_name") or ""),
"batch_no": batch_no,
"sections": sections,
"completion": sections_data["completion"],
"narrative_points": sections_data["narrative_points"],
}
preview_file = write_preview_for_kernel(draft=draft)
conn = get_conn()
try:
cur = conn.cursor()
cur.execute(
"""
INSERT INTO report_drafts
(batch_no, project_no, project_name, completion_json, narrative_points_json, draft_file, preview_file)
VALUES (?, ?, ?, ?, ?, ?, ?)
""",
(
batch_no,
project_no,
str(project.get("project_name") or ""),
json.dumps(sections_data["completion"], ensure_ascii=False),
json.dumps(sections_data["narrative_points"], ensure_ascii=False),
draft_file,
preview_file,
),
)
draft_id = int(cur.lastrowid)
cur.execute(
"UPDATE closing_projects SET status = '初稿已生成', updated_at = ? WHERE project_no = ?",
(now_unix(), project_no),
)
conn.commit()
finally:
conn.close()
payload = {
"ok": True,
"batch_no": batch_no,
"draft_id": draft_id,
"project_no": project_no,
"draft_file": draft_file,
"preview_file": preview_file,
"completion": sections_data["completion"],
"narrative_points_count": len(sections_data["narrative_points"]),
"disclaimer": "初稿由台账数据与模板生成;数据章节请核对,叙事章节须本人终审,严禁引入台账之外的成果。",
}
if log:
log.info("draft_kernel_done batch_no=%s project_no=%s draft_id=%s stage=kernel", batch_no, project_no, draft_id)
return payload
def query_pending_projects(project_no: str = "") -> list[dict[str, Any]]:
"""读取待结题项目(可按项目编号筛选),附成果与决算数量。"""
conn = get_conn()
try:
cur = conn.cursor()
if project_no:
cur.execute("SELECT * FROM closing_projects WHERE project_no = ?", (project_no,))
else:
cur.execute("SELECT * FROM closing_projects WHERE status = '待结题' ORDER BY id")
columns = [d[0] for d in cur.description]
projects = [dict(zip(columns, row)) for row in cur.fetchall()]
for project in projects:
pno = project.get("project_no")
cur.execute("SELECT COUNT(*) FROM achievements WHERE project_no = ?", (pno,))
project["achievement_count"] = int(cur.fetchone()[0])
cur.execute("SELECT COUNT(*) FROM expense_items WHERE project_no = ?", (pno,))
project["expense_count"] = int(cur.fetchone()[0])
finally:
conn.close()
return projects

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"""在线鉴权(可选模板)。"""
from __future__ import annotations
from typing import Tuple
import requests
from jiangchang_skill_core import config
def check_entitlement(skill_slug: str) -> Tuple[bool, str]:
auth_base = (config.get("JIANGCHANG_AUTH_BASE_URL") or "").strip().rstrip("/")
if not auth_base:
return True, ""
user_id = (config.get("JIANGCHANG_USER_ID") or "").strip()
if not user_id:
return False, "鉴权失败:缺少用户身份(JIANGCHANG_USER_ID)"
auth_api_key = (config.get("JIANGCHANG_AUTH_API_KEY") or "").strip()
timeout = int((config.get("JIANGCHANG_AUTH_TIMEOUT_SECONDS") or "5").strip())
headers = {"Content-Type": "application/json"}
if auth_api_key:
headers["Authorization"] = f"Bearer {auth_api_key}"
payload = {
"user_id": user_id,
"skill_slug": skill_slug,
"trace_id": (config.get("JIANGCHANG_TRACE_ID") or "").strip(),
"context": {"entry": "main.py"},
}
try:
res = requests.post(f"{auth_base}/api/entitlements/check", json=payload, headers=headers, timeout=timeout)
except requests.RequestException as exc:
return False, f"鉴权请求失败:{exc}"
if res.status_code != 200:
return False, f"鉴权服务异常:HTTP {res.status_code}"
try:
body = res.json()
except ValueError:
return False, "鉴权服务异常:返回非 JSON"
code = body.get("code")
data = body.get("data") or {}
if code != 200:
return False, str(body.get("msg") or "鉴权失败")
if not data.get("allow", False):
return False, str(data.get("reason") or "未购买或已过期")
return True, ""

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"""技能 HTML 报告页:写入 `{skill_data}/html/*.html`(宿主扫描预览)。
契约要点(权威说明见 `references/ACTIONS.md`「HTML 页面报告」):
- 目录:仅一层 `html/*.html`(非递归)
- 重新生成 Action id 必须为 `render-html`(宿主硬编码)
- 页面布局底线见 `references/ACTIONS.md`「宿主预览布局」;模板壳 `assets/html/example-report.html`
- 成功后建议 `steps: refreshCatalog` 以重扫侧栏
- 本模块只提供路径/模板/原子写;业务 KPI/表格由各技能自行填充
"""
from __future__ import annotations
import os
import re
from typing import Mapping
from util.logging_config import get_skill_logger
from util.runtime_paths import get_html_dir, get_skill_root
# Host Data Management looks up this exact Skill Action id for「重新生成」.
HOST_HTML_RENDER_ACTION_ID = "render-html"
_UNSAFE_NAME = re.compile(r"[\\/]|^\.\.|\.\.$")
def _log():
try:
return get_skill_logger()
except RuntimeError:
return None
def assert_html_filename(filename: str) -> str:
name = (filename or "").strip()
if not name.lower().endswith(".html"):
raise ValueError(f"html filename must end with .html: {filename!r}")
if _UNSAFE_NAME.search(name) or "/" in name or "\\" in name:
raise ValueError(f"html filename must be a basename only: {filename!r}")
if len(name) > 200:
raise ValueError(f"html filename too long: {filename!r}")
return name
def html_page_path(filename: str, *, create_dir: bool = True) -> str:
return os.path.join(get_html_dir(create=create_dir), assert_html_filename(filename))
def load_html_template(relative_under_skill_root: str) -> str:
"""Load UTF-8 template from skill root (e.g. ``assets/html/example-report.html``)."""
rel = (relative_under_skill_root or "").strip().replace("\\", "/")
if not rel or rel.startswith("/") or ".." in rel.split("/"):
raise ValueError(f"invalid template path: {relative_under_skill_root!r}")
path = os.path.join(get_skill_root(), *rel.split("/"))
with open(path, encoding="utf-8") as f:
return f.read()
def render_html_placeholders(template: str, mapping: Mapping[str, str]) -> str:
"""Replace ``{{KEY}}`` tokens. Unknown keys are left as-is."""
page = template
for key, value in mapping.items():
page = page.replace("{{" + str(key) + "}}", str(value))
return page
def write_html_page(filename: str, html: str) -> str:
"""Atomically write UTF-8 HTML under ``html/``. Returns absolute path."""
dest = html_page_path(filename, create_dir=True)
tmp = dest + ".tmp"
text = html if isinstance(html, str) else str(html)
with open(tmp, "w", encoding="utf-8", newline="\n") as f:
f.write(text)
os.replace(tmp, dest)
log = _log()
if log:
log.info("html_page_written path=%s bytes=%s", dest, len(text.encode("utf-8")))
return dest

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"""结题项目 / 成果清单 / 决算明细 / 初稿记录 的维护与查询。"""
from __future__ import annotations
import json
from typing import Any, Optional
from db.connection import get_conn, init_db
from service.draft_service import _norm_achievement, _norm_expense, _norm_project
from util.logging_config import get_skill_logger
from util.timeutil import now_unix
_PROJECT_TEXT_FIELDS = ("project_name", "pi_name", "department", "program", "start_date", "end_date", "annual_report_excerpt", "status")
_KNOWN_STATUS = ("待结题", "初稿已生成", "已提交")
_KNOWN_ACH_TYPES = ("论文", "专利", "人才培养", "其他")
def _log():
try:
return get_skill_logger()
except RuntimeError:
return None
def _snake(name: str) -> str:
return "".join("_" + ch.lower() if ch.isupper() else ch for ch in str(name)).lstrip("_")
def _to_float(value: Any) -> Optional[float]:
if value is None or value == "":
return None
try:
return float(value)
except (TypeError, ValueError):
return None
def upsert_project(fields: dict[str, Any]) -> dict[str, Any]:
fields = {_snake(k): v for k, v in _norm_project(fields).items()}
project_no = str(fields.get("project_no") or "").strip()
if not project_no:
raise ValueError("项目编号(project_no)不能为空")
values: dict[str, Any] = {"project_no": project_no}
for key in _PROJECT_TEXT_FIELDS:
if fields.get(key) not in (None, ""):
values[key] = str(fields[key]).strip()
if values.get("status") and values["status"] not in _KNOWN_STATUS:
raise ValueError(f"status 只接受 {'、'.join(_KNOWN_STATUS)}:{values['status']}")
if fields.get("expected_json") not in (None, ""):
raw = fields["expected_json"]
try:
expected = json.loads(raw) if isinstance(raw, str) else raw
except (TypeError, ValueError) as exc:
raise ValueError(f"预期指标 JSON 解析失败:{exc}") from exc
if not isinstance(expected, list):
raise ValueError("预期指标应为数组,如 [{\"type\":\"论文\",\"target\":3,\"unit\":\"篇\"}]")
values["expected_json"] = json.dumps(expected, ensure_ascii=False)
init_db()
conn = get_conn()
try:
cur = conn.cursor()
cur.execute("SELECT id FROM closing_projects WHERE project_no = ?", (project_no,))
row = cur.fetchone()
if row:
project_id = int(row[0])
set_clause = ", ".join(f"{k} = ?" for k in values if k != "project_no")
cur.execute(
f"UPDATE closing_projects SET {set_clause}, updated_at = ? WHERE id = ?",
[values[k] for k in values if k != "project_no"] + [now_unix(), project_id],
)
action = "updated"
else:
columns = ", ".join(values.keys())
placeholders = ", ".join("?" for _ in values)
cur.execute(
f"INSERT INTO closing_projects ({columns}, created_at, updated_at) VALUES ({placeholders}, ?, ?)",
list(values.values()) + [now_unix(), now_unix()],
)
project_id = int(cur.lastrowid)
action = "created"
conn.commit()
finally:
conn.close()
log = _log()
if log:
log.info("closing_project_upserted project_no=%s action=%s stage=ledger", project_no, action)
return {"ok": True, "project_no": project_no, "id": project_id, "action": action}
def upsert_achievement(fields: dict[str, Any]) -> dict[str, Any]:
achievement = {_snake(k): v for k, v in _norm_achievement(fields).items()}
project_no = str(achievement.get("project_no") or "").strip()
title = str(achievement.get("title") or "").strip()
ach_type = str(achievement.get("achievement_type") or "").strip()
if not project_no:
raise ValueError("项目编号(project_no)不能为空")
if not ach_type:
raise ValueError("成果类型(achievement_type)不能为空")
if ach_type not in _KNOWN_ACH_TYPES:
raise ValueError(f"成果类型只接受 {'、'.join(_KNOWN_ACH_TYPES)}:{ach_type}")
if not title:
raise ValueError("成果名称(title)不能为空")
values = {
"project_no": project_no,
"achievement_type": ach_type,
"title": title,
"venue_or_no": str(achievement.get("venue_or_no") or "").strip(),
"ach_date": str(achievement.get("ach_date") or "").strip(),
"is_representative": 1 if str(achievement.get("is_representative") or "").strip() in ("1", "true", "True", "是") else 0,
"note": str(achievement.get("note") or "").strip(),
}
init_db()
conn = get_conn()
try:
cur = conn.cursor()
cur.execute("SELECT id FROM closing_projects WHERE project_no = ?", (project_no,))
if not cur.fetchone():
raise ValueError(f"项目不存在,请先录入结题项目:{project_no}")
cur.execute(
"""
INSERT INTO achievements
(project_no, achievement_type, title, venue_or_no, ach_date, is_representative, note, created_at, updated_at)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
""",
list(values.values()) + [now_unix(), now_unix()],
)
achievement_id = int(cur.lastrowid)
conn.commit()
finally:
conn.close()
log = _log()
if log:
log.info("achievement_added project_no=%s type=%s stage=ledger", project_no, ach_type)
return {"ok": True, "id": achievement_id, "project_no": project_no, "title": title}
def upsert_expense(fields: dict[str, Any]) -> dict[str, Any]:
expense = {_snake(k): v for k, v in _norm_expense(fields).items()}
project_no = str(expense.get("project_no") or "").strip()
category = str(expense.get("category") or "").strip()
amount = _to_float(expense.get("amount"))
if not project_no:
raise ValueError("项目编号(project_no)不能为空")
if not category:
raise ValueError("科目(category)不能为空")
if amount is None or amount < 0:
raise ValueError(f"金额必须是非负数字:{fields.get('amount')}")
values = {
"project_no": project_no,
"category": category,
"amount": round(amount, 2),
"occurred_date": str(expense.get("occurred_date") or "").strip(),
"description": str(expense.get("description") or "").strip(),
}
init_db()
conn = get_conn()
try:
cur = conn.cursor()
cur.execute("SELECT id FROM closing_projects WHERE project_no = ?", (project_no,))
if not cur.fetchone():
raise ValueError(f"项目不存在,请先录入结题项目:{project_no}")
cur.execute(
"""
INSERT INTO expense_items
(project_no, category, amount, occurred_date, description, created_at, updated_at)
VALUES (?, ?, ?, ?, ?, ?, ?)
""",
list(values.values()) + [now_unix(), now_unix()],
)
expense_id = int(cur.lastrowid)
conn.commit()
finally:
conn.close()
log = _log()
if log:
log.info("expense_added project_no=%s category=%s stage=ledger", project_no, category)
return {"ok": True, "id": expense_id, "project_no": project_no, "category": category, "amount": values["amount"]}
def _import_generic(rows: Any, upsert, label: str) -> dict[str, Any]:
if not isinstance(rows, list) or not rows:
raise ValueError(f"导入内容应为非空 JSON 数组({label})")
if len(rows) > 500:
raise ValueError(f"单次导入条数过多({len(rows)}),上限 500 条")
results = []
for idx, raw in enumerate(rows):
if not isinstance(raw, dict):
raise ValueError(f"第 {idx + 1} 条不是 JSON 对象")
results.append(upsert(raw))
return {
"ok": True,
"count": len(results),
"created": sum(1 for r in results if r["action"] == "created"),
"updated": sum(1 for r in results if r["action"] == "updated"),
"items": results,
}
def import_projects(rows: list[dict[str, Any]]) -> dict[str, Any]:
return _import_generic(rows, lambda row: upsert_project({_snake(k): v for k, v in _norm_project(row).items()}), "结题项目")
def import_achievements(rows: list[dict[str, Any]]) -> dict[str, Any]:
return _import_generic(rows, lambda row: upsert_achievement({_snake(k): v for k, v in _norm_achievement(row).items()}), "成果清单")
def import_expenses(rows: list[dict[str, Any]]) -> dict[str, Any]:
return _import_generic(rows, lambda row: upsert_expense({_snake(k): v for k, v in _norm_expense(row).items()}), "决算明细")
def list_projects(status: str = "") -> list[dict[str, Any]]:
init_db()
conn = get_conn()
try:
cur = conn.cursor()
if status:
cur.execute("SELECT * FROM closing_projects WHERE status = ? ORDER BY id", (status,))
else:
cur.execute("SELECT * FROM closing_projects ORDER BY id")
columns = [d[0] for d in cur.description]
rows = [dict(zip(columns, row)) for row in cur.fetchall()]
finally:
conn.close()
return rows
def list_achievements(project_no: str) -> list[dict[str, Any]]:
conn = get_conn()
try:
cur = conn.cursor()
cur.execute("SELECT * FROM achievements WHERE project_no = ? ORDER BY id", (project_no,))
columns = [d[0] for d in cur.description]
rows = [dict(zip(columns, row)) for row in cur.fetchall()]
finally:
conn.close()
return rows
def list_expenses(project_no: str) -> list[dict[str, Any]]:
conn = get_conn()
try:
cur = conn.cursor()
cur.execute("SELECT * FROM expense_items WHERE project_no = ? ORDER BY id", (project_no,))
columns = [d[0] for d in cur.description]
rows = [dict(zip(columns, row)) for row in cur.fetchall()]
finally:
conn.close()
return rows
def list_drafts(limit: int = 20) -> list[dict[str, Any]]:
init_db()
limit = max(1, min(int(limit), 200))
conn = get_conn()
try:
cur = conn.cursor()
cur.execute(
"SELECT id, batch_no, project_no, project_name, draft_file, preview_file, created_at FROM report_drafts ORDER BY id DESC LIMIT ?",
(limit,),
)
columns = [d[0] for d in cur.description]
rows = [dict(zip(columns, row)) for row in cur.fetchall()]
finally:
conn.close()
return rows
def get_draft(draft_id: int) -> dict[str, Any]:
init_db()
conn = get_conn()
try:
cur = conn.cursor()
cur.execute("SELECT * FROM report_drafts WHERE id = ?", (draft_id,))
row = cur.fetchone()
if not row:
raise ValueError(f"初稿记录不存在:{draft_id}")
columns = [d[0] for d in cur.description]
draft = dict(zip(columns, row))
finally:
conn.close()
for key in ("completion_json", "narrative_points_json"):
try:
draft[key[:-5]] = json.loads(draft.get(key) or "[]")
except (TypeError, ValueError):
draft[key[:-5]] = []
return draft
def stats() -> dict[str, Any]:
init_db()
conn = get_conn()
try:
cur = conn.cursor()
cur.execute("SELECT status, COUNT(*) FROM closing_projects GROUP BY status")
by_status = {str(r[0]): int(r[1]) for r in cur.fetchall()}
cur.execute("SELECT COUNT(*) FROM achievements")
achievement_total = int(cur.fetchone()[0])
cur.execute("SELECT COUNT(*) FROM expense_items")
expense_total = int(cur.fetchone()[0])
cur.execute("SELECT COUNT(*) FROM report_drafts")
draft_total = int(cur.fetchone()[0])
finally:
conn.close()
return {
"ok": True,
"projects_by_status": by_status,
"achievement_total": achievement_total,
"expense_total": expense_total,
"draft_total": draft_total,
}

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"""初稿 HTML 预览组装。
与 Word 初稿同构内容写入 `{skill_data}/html/draft-{id}.html`,宿主侧栏可预览;
重建走固定 Action id `render-html`。
"""
from __future__ import annotations
import json
from typing import Any
from service.html_page_service import load_html_template, render_html_placeholders, write_html_page
from util.logging_config import get_skill_logger
_TEMPLATE_REL = "assets/html/draft-preview.html"
def _esc(value: Any) -> str:
import html
return html.escape(str(value if value is not None else "—"), quote=True)
def _sections_html(sections: dict[str, list[str]]) -> str:
parts = []
for title, paragraphs in (sections or {}).items():
items = "".join(f"<p class='para{' placeholder' if p.startswith('[待补充') else ''}'>{_esc(p)}</p>" for p in paragraphs)
parts.append(f"<div class='section'><h2>{_esc(title)}</h2>{items}</div>")
return "".join(parts)
def build_preview_html(draft: dict[str, Any]) -> str:
body = f"""
<div class="verdict-line">
<span class="tag tier-info">初稿</span>
<span class="muted">项目 {_esc(draft.get("project_no"))} · 批次 {_esc(draft.get("batch_no"))}</span>
</div>
<div class="section"><h2>生成说明</h2>
<p class="para">数据章节(完成情况/决算/成果清单)由台账自动生成,请逐项核对;叙事章节仅提供素材要点,须由项目负责人本人终审。</p>
</div>
{_sections_html(draft.get("sections") or {})}
<footer>本预览与 Word 初稿同构;严禁引入台账之外的成果或结论。以本单位结题报告模板为准。</footer>
"""
template = load_html_template(_TEMPLATE_REL)
return render_html_placeholders(
template,
{
"TITLE": f"结题报告初稿预览 · {draft.get('project_name') or draft.get('project_no') or ''}",
"GENERATED_AT": "",
"BODY": body,
},
)
def write_preview_for_kernel(*, draft: dict[str, Any]) -> str:
html_text = build_preview_html(draft)
log = get_skill_logger()
path = write_html_page("draft-preview.html", html_text)
log.info("draft_preview_written project_no=%s path=%s stage=report", draft.get("project_no"), path)
return path
def build_preview_for_draft_id(draft_id: int) -> str:
"""按初稿记录 id 重建 HTML 预览(重建入口用)。"""
from db.connection import get_conn
log = get_skill_logger()
log.info("preview_render_start draft_id=%s stage=render", draft_id)
conn = get_conn()
try:
cur = conn.cursor()
cur.execute("SELECT * FROM report_drafts WHERE id = ?", (draft_id,))
row = cur.fetchone()
if not row:
raise ValueError(f"初稿记录不存在:{draft_id}")
columns = [d[0] for d in cur.description]
record = dict(zip(columns, row))
finally:
conn.close()
try:
completion = json.loads(record.get("completion_json") or "[]")
except (TypeError, ValueError):
completion = []
try:
narrative_points = json.loads(record.get("narrative_points_json") or "[]")
except (TypeError, ValueError):
narrative_points = []
sections: dict[str, list[str]] = {
"完成情况(自动生成)": [f"{row.get('type')}:{row.get('detail')}" for row in completion] or ["指标未配置(W1)。"],
"叙事素材要点": [f"· {p.get('point')}(来源:{p.get('source')})" for p in narrative_points] or ["无素材,请补录成果/年度报告摘句。"],
"Word 初稿": [f"文件:{record.get('draft_file') or '—'}(output 目录可取)"],
}
draft = {
"project_no": record.get("project_no"),
"project_name": record.get("project_name"),
"batch_no": record.get("batch_no"),
"sections": sections,
}
html_text = build_preview_html(draft)
path = write_html_page(f"draft-{draft_id}.html", html_text)
log.info("preview_render_done draft_id=%s path=%s stage=render", draft_id, path)
return path

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"""兄弟技能 CLI 调用工具。
通过子进程调用同级其他 skill 的 main.py,并解析 JSON 输出。
具体调用哪些兄弟技能,由复制后的业务 skill 在 service 层按需决定。
"""
from __future__ import annotations
import json
import os
import subprocess
import sys
from typing import Any, Dict, List, Optional
from util.logging_config import subprocess_env_with_trace
from util.runtime_paths import get_skills_root
def call_sibling_json(skill_slug: str, args: List[str]) -> Optional[Dict[str, Any]]:
"""通用兄弟技能调用器。
Args:
skill_slug: 兄弟技能的 slug(即同级目录名)。
args: 传给 main.py 的命令行参数列表。
Returns:
若兄弟技能输出可解析的 JSON 对象则返回 dict;否则返回 None。
"""
script_path = os.path.join(get_skills_root(), skill_slug, "scripts", "main.py")
if not os.path.isfile(script_path):
return None
proc = subprocess.run(
[sys.executable, script_path, *args],
capture_output=True,
text=True,
encoding="utf-8",
errors="replace",
env=subprocess_env_with_trace(),
)
raw = (proc.stdout or "").strip()
if not raw or raw.startswith("ERROR"):
return None
try:
data = json.loads(raw)
except json.JSONDecodeError:
return None
return data if isinstance(data, dict) else None
def get_sibling_main_path(skill_slug: str) -> str:
"""获取兄弟技能的 main.py 绝对路径。
使用示例(在 task_service.py 中):
from service.sibling_bridge import get_sibling_main_path, call_sibling_json
result = call_sibling_json("account-manager", ["list", "--limit", "10"])
"""
return os.path.join(get_skills_root(), skill_slug, "scripts", "main.py")

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"""任务运行辅助:录屏信息组装与 CLI 输出(通用模板,无业务逻辑)。"""
from __future__ import annotations
from typing import Any, Dict, Optional
def build_video_info(
video_summary: dict[str, Any],
compose_context_before: Optional[dict[str, Any]] = None,
compose_context_after: Optional[dict[str, Any]] = None,
) -> dict[str, Any]:
"""将 RpaVideoSession.summary() 转为 finish() / CLI 可用的 video 块。"""
return {
"enabled": video_summary.get("enabled", False),
"path": video_summary.get("path"),
"capture_path": video_summary.get("capture_path"),
"record_log_path": video_summary.get("record_log_path"),
"warnings": list(video_summary.get("warnings") or []),
"voiceover_path": video_summary.get("voiceover_path"),
"music_path": video_summary.get("music_path"),
"audio_warnings": list(video_summary.get("audio_warnings") or []),
"compose_context": {
**(compose_context_before or {}),
"after_compose": compose_context_after or {},
},
}
def merge_video_into_result_summary(
payload: dict[str, Any],
video_info: Optional[dict[str, Any]],
) -> dict[str, Any]:
"""把 video artifact 字段写入 finish() 结果对象(video / video_path 等)。"""
if not video_info:
return payload
payload = dict(payload)
payload["video"] = video_info
payload["video_path"] = video_info.get("path")
payload["raw_video"] = video_info.get("capture_path")
payload["video_log"] = video_info.get("record_log_path")
payload["video_warnings"] = list(video_info.get("warnings") or [])
payload["voiceover_path"] = video_info.get("voiceover_path")
payload["music_path"] = video_info.get("music_path")
payload["audio_warnings"] = list(video_info.get("audio_warnings") or [])
return payload
def _print_video_summary(video_block: Optional[dict[str, Any]]) -> None:
"""任务完成后在 CLI 打印录屏路径、日志与诊断信息。"""
if not isinstance(video_block, dict) or not video_block.get("enabled"):
return
record_log = video_block.get("record_log_path")
if record_log:
print(f"录屏日志:{record_log}")
path = video_block.get("path")
if path:
print(f"录屏路径:{path}")
else:
print("录屏路径:未生成")
warnings = video_block.get("warnings") or []
if warnings:
print(f"视频诊断:{'; '.join(str(w) for w in warnings)}")
capture = video_block.get("capture_path")
if capture:
print(f"原始录屏路径:{capture}")
voiceover = video_block.get("voiceover_path")
if voiceover:
print(f"旁白路径:{voiceover}")
music = video_block.get("music_path")
if music:
print(f"背景音乐:{music}")
audio_warnings = video_block.get("audio_warnings") or []
if audio_warnings:
print(f"音频诊断:{'; '.join(str(w) for w in audio_warnings)}")
compose_ctx = video_block.get("compose_context")
if isinstance(compose_ctx, dict):
print(
"视频合成上下文:"
f"media_assets_root={compose_ctx.get('media_assets_root', '')}; "
f"ffmpeg_path={compose_ctx.get('ffmpeg_path', '')}; "
f"background_music_issue={compose_ctx.get('background_music_issue') or ''}; "
f"background_music_sample_path={compose_ctx.get('background_music_sample_path', '')}"
)

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"""任务编排层:job_context / emit / finish、鉴权与错误转换。
领域业务在 ``service/draft_service.py``(初稿内核)、
``service/ledger_service.py``(台账/记录)、``service/docx_service.py``(Word 渲染)、
``service/report_service.py``(HTML 简报),由本模块调用;
多入口(CLI / Action / 对话 / cron)复用同一内核,禁止按入口分叉业务。
"""
from __future__ import annotations
import asyncio
import json
import os
import uuid
from typing import Any, Optional
from jiangchang_skill_core import collect_runtime_diagnostics, config, format_runtime_health_lines
from jiangchang_skill_core.activity import JobStopped, emit, finish, job_context
from jiangchang_skill_core.rpa.video_session import RpaVideoSession
from service.entitlement_service import check_entitlement
from service.task_run_support import (
_print_video_summary,
build_video_info,
merge_video_into_result_summary,
)
from util.constants import LOG_LOGGER_NAME, PLATFORM_KIT_MIN_VERSION, SKILL_SLUG, SKILL_VERSION
from util.logging_config import get_skill_logger, setup_skill_logging
from util.runtime_paths import get_db_path, get_skill_root
from db.connection import init_db
def _get_task_logger():
try:
return get_skill_logger()
except RuntimeError:
setup_skill_logging(SKILL_SLUG, LOG_LOGGER_NAME)
return get_skill_logger()
def _print_json(payload: dict[str, Any]) -> None:
print(json.dumps(payload, ensure_ascii=False))
# ---------------------------------------------------------------------------
# 模板演示入口(保留:满足 POLICY-RPA-003 录屏集成与 CLI run 契约;不承载本技能业务)
# ---------------------------------------------------------------------------
async def _run_template_demo(target: Optional[str], input_id: Optional[str]) -> tuple[int, dict[str, Any]]:
"""最小 RpaVideoSession 示范:不启动浏览器、不执行业务,仅演示录屏包裹范式。"""
batch_id = uuid.uuid4().hex[:12]
data_dir = get_skill_root()
async with RpaVideoSession(
skill_slug=SKILL_SLUG,
skill_data_dir=data_dir,
batch_id=batch_id,
title="开始执行示例任务",
closing_title="示例任务执行完成",
) as video:
video.add_step("准备执行示例任务")
if target:
video.add_step(f"接收目标参数:{target}")
if input_id:
video.add_step(f"接收输入标识:{input_id}")
video.add_step("示例任务执行完成")
video_summary = video.summary()
video_info = build_video_info(video_summary, {}, {})
return 1, video_info
def cmd_run(target: Optional[str] = None, input_id: Optional[str] = None) -> int:
"""模板演示入口:本技能主能力请使用 broadcast 等业务命令。"""
log = _get_task_logger()
task_type = "demo"
with job_context(skill=SKILL_SLUG):
log.info(
"task_start task_type=%s target_id=%s input_id=%s stage=run",
task_type,
target,
input_id,
)
emit("开始处理任务", skill=SKILL_SLUG, stage="run")
try:
ok, reason = check_entitlement(SKILL_SLUG)
if not ok:
log.warning(
"entitlement_failed task_type=%s stage=auth error_code=ENTITLEMENT_DENIED",
task_type,
)
emit("鉴权失败,已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="auth")
finish(
status="failed",
message=reason,
skill=SKILL_SLUG,
error_code="ENTITLEMENT_DENIED",
stage="auth",
)
print(f"ERROR:ENTITLEMENT_DENIED {reason}")
return 1
log.info("entitlement_ok task_type=%s stage=auth", task_type)
log.info("rpa_start stage=demo_prepare task_type=%s", task_type)
log.info("task_run_demo_start target_id=%s input_id=%s stage=demo_prepare", target, input_id)
rc, video_info = asyncio.run(_run_template_demo(target, input_id))
log.info("rpa_done stage=demo_prepare status=ok")
log.info(
"task_run_demo_done target_id=%s input_id=%s stage=demo_finish status=failed",
target,
input_id,
)
_print_video_summary(video_info)
summary_payload = merge_video_into_result_summary(
{
"template_demo": True,
"target": target,
"input_id": input_id,
},
video_info,
)
log.warning(
"task_failed task_type=%s stage=demo_finish error_code=TEMPLATE_STUB",
task_type,
)
finish(
status="failed",
message="模板演示入口未承载本技能业务",
skill=SKILL_SLUG,
error_code="TEMPLATE_STUB",
**summary_payload,
)
print("ERROR:TEMPLATE_STUB 这是模板演示入口,请使用 draft-report 命令生成结题报告初稿。")
return rc
except JobStopped:
raise
except Exception:
log.exception(
"task_failed task_type=%s target_id=%s input_id=%s",
task_type,
target,
input_id,
)
emit("任务失败,已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="run")
finish(
status="failed",
message="任务执行异常,详见统一日志",
skill=SKILL_SLUG,
stage="run",
)
return 1
# ---------------------------------------------------------------------------
# 基础命令
# ---------------------------------------------------------------------------
def cmd_config_path() -> int:
example_path = os.path.join(get_skill_root(), ".env.example")
env_path = config.get_env_file_path() or ""
_print_json(
{
"skill": SKILL_SLUG,
"env_path": env_path,
"example_path": os.path.abspath(example_path),
}
)
return 0
def cmd_health() -> int:
runtime = collect_runtime_diagnostics(
skill_slug=SKILL_SLUG,
platform_kit_min_version=PLATFORM_KIT_MIN_VERSION,
skill_root=get_skill_root(),
)
example_path = os.path.join(get_skill_root(), ".env.example")
env_path = config.get_env_file_path() or ""
env_exists = bool(env_path and os.path.isfile(env_path))
health_status = "failed" if runtime.has_fatal_issues else "ok"
lines = [
f"{SKILL_SLUG} health: {health_status}",
*format_runtime_health_lines(runtime),
f"env_path: {env_path}",
f"env_exists: {env_exists}",
f"example_path: {os.path.abspath(example_path)}",
]
for line in lines:
print(line)
return 1 if runtime.has_fatal_issues else 0
def cmd_version() -> int:
_print_json({"version": SKILL_VERSION, "skill": SKILL_SLUG})
return 0
def cmd_init_db() -> int:
"""幂等创建/迁移本地 SQLite 与数据管理元数据(宿主 install/upgrade 可调用)。"""
log = _get_task_logger()
try:
init_db()
except Exception as exc: # noqa: BLE001 — CLI 边界,统一成可机读失败
print(
json.dumps(
{"ok": False, "skill": SKILL_SLUG, "error": str(exc)},
ensure_ascii=False,
)
)
return 1
_print_json({"ok": True, "skill": SKILL_SLUG, "db_path": get_db_path()})
return 0
# ---------------------------------------------------------------------------
# 台账维护
# ---------------------------------------------------------------------------
def _parse_json_arg(raw: str, label: str) -> list[dict[str, Any]]:
import sys
text = (raw or "").strip()
if not text:
raise ValueError(f"缺少导入 JSON({label})")
if text == "-":
text = sys.stdin.read().strip()
elif text.startswith(("[", "{")):
pass
elif os.path.isfile(text):
with open(text, encoding="utf-8") as f:
text = f.read().strip()
else:
raise ValueError(f"{label} 不是有效文件路径或 JSON:{text[:80]}")
try:
payload = json.loads(text)
except json.JSONDecodeError as exc:
raise ValueError(f"导入 JSON 解析失败:{exc}") from exc
if isinstance(payload, dict):
for key in ("projects", "achievements", "expenses", "items"):
if isinstance(payload.get(key), list):
payload = payload[key]
break
else:
payload = [payload]
if not isinstance(payload, list):
raise ValueError(f"{label} 应为对象数组")
return payload
def cmd_add_project(
*,
project_no: str,
name: str = "",
pi: str = "",
department: str = "",
program: str = "",
start: str = "",
end: str = "",
expected_json: str = "",
excerpt: str = "",
status: str = "",
) -> int:
log = _get_task_logger()
from service.ledger_service import upsert_project
with job_context(skill=SKILL_SLUG):
log.info("task_start task_type=add_project project_no=%s stage=ledger", project_no)
emit("开始写入结题项目", skill=SKILL_SLUG, stage="ledger")
try:
ok, reason = check_entitlement(SKILL_SLUG)
if not ok:
log.warning("entitlement_failed task_type=add_project stage=auth")
finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
print(f"ERROR:ENTITLEMENT_DENIED {reason}")
return 1
fields: dict[str, Any] = {"project_no": project_no}
for key, value in (("project_name", name), ("pi_name", pi), ("department", department), ("program", program), ("start_date", start), ("end_date", end), ("expected_json", expected_json), ("annual_report_excerpt", excerpt), ("status", status)):
if value:
fields[key] = value
payload = upsert_project(fields)
_print_json(payload)
finish(status="success", message=f"项目 {project_no} 已{('更新' if payload['action'] == 'updated' else '录入')}", skill=SKILL_SLUG, stage="ledger")
return 0
except ValueError as exc:
log.warning("task_failed task_type=add_project error_code=PROJECT_INVALID detail=%s", exc)
finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="PROJECT_INVALID", stage="ledger")
print(f"ERROR:PROJECT_INVALID {exc}")
return 1
except JobStopped:
raise
except Exception:
log.exception("task_failed task_type=add_project stage=ledger")
finish(status="failed", message="项目写入异常,详见统一日志", skill=SKILL_SLUG, stage="ledger")
return 1
def cmd_add_achievement(
*,
project_no: str,
ach_type: str,
title: str,
venue: str = "",
date: str = "",
representative: str = "",
note: str = "",
) -> int:
log = _get_task_logger()
from service.ledger_service import upsert_achievement
with job_context(skill=SKILL_SLUG):
log.info("task_start task_type=add_achievement project_no=%s stage=ledger", project_no)
emit("开始写入成果", skill=SKILL_SLUG, stage="ledger")
try:
ok, reason = check_entitlement(SKILL_SLUG)
if not ok:
log.warning("entitlement_failed task_type=add_achievement stage=auth")
finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
print(f"ERROR:ENTITLEMENT_DENIED {reason}")
return 1
payload = upsert_achievement(
{"project_no": project_no, "achievement_type": ach_type, "title": title, "venue_or_no": venue, "ach_date": date, "is_representative": representative, "note": note}
)
_print_json(payload)
finish(status="success", message=f"成果已录入:{title[:20]}", skill=SKILL_SLUG, stage="ledger")
return 0
except ValueError as exc:
log.warning("task_failed task_type=add_achievement error_code=PROJECT_INVALID detail=%s", exc)
finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="PROJECT_INVALID", stage="ledger")
print(f"ERROR:PROJECT_INVALID {exc}")
return 1
except JobStopped:
raise
except Exception:
log.exception("task_failed task_type=add_achievement stage=ledger")
finish(status="failed", message="成果写入异常,详见统一日志", skill=SKILL_SLUG, stage="ledger")
return 1
def cmd_add_expense(*, project_no: str, category: str, amount: float, date: str = "", description: str = "") -> int:
log = _get_task_logger()
from service.ledger_service import upsert_expense
with job_context(skill=SKILL_SLUG):
log.info("task_start task_type=add_expense project_no=%s stage=ledger", project_no)
emit("开始写入决算明细", skill=SKILL_SLUG, stage="ledger")
try:
ok, reason = check_entitlement(SKILL_SLUG)
if not ok:
log.warning("entitlement_failed task_type=add_expense stage=auth")
finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
print(f"ERROR:ENTITLEMENT_DENIED {reason}")
return 1
payload = upsert_expense({"project_no": project_no, "category": category, "amount": amount, "occurred_date": date, "description": description})
_print_json(payload)
finish(status="success", message=f"决算明细已录入:{category} {payload['amount']} 元", skill=SKILL_SLUG, stage="ledger")
return 0
except ValueError as exc:
log.warning("task_failed task_type=add_expense error_code=PROJECT_INVALID detail=%s", exc)
finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="PROJECT_INVALID", stage="ledger")
print(f"ERROR:PROJECT_INVALID {exc}")
return 1
except JobStopped:
raise
except Exception:
log.exception("task_failed task_type=add_expense stage=ledger")
finish(status="failed", message="决算写入异常,详见统一日志", skill=SKILL_SLUG, stage="ledger")
return 1
def cmd_import(projects_json: str = "", achievements_json: str = "", expenses_json: str = "") -> int:
"""统一导入入口:projects/achievements/expenses 三类 JSON(至少提供一个)。"""
log = _get_task_logger()
from service.ledger_service import import_achievements, import_expenses, import_projects
with job_context(skill=SKILL_SLUG):
log.info("task_start task_type=import stage=ledger")
emit("开始批量导入结题数据", skill=SKILL_SLUG, stage="ledger")
try:
ok, reason = check_entitlement(SKILL_SLUG)
if not ok:
log.warning("entitlement_failed task_type=import stage=auth")
finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
print(f"ERROR:ENTITLEMENT_DENIED {reason}")
return 1
summary: dict[str, Any] = {"ok": True}
if projects_json:
summary["projects"] = import_projects(_parse_json_arg(projects_json, "--projects-json"))
if achievements_json:
summary["achievements"] = import_achievements(_parse_json_arg(achievements_json, "--achievements-json"))
if expenses_json:
summary["expenses"] = import_expenses(_parse_json_arg(expenses_json, "--expenses-json"))
if len(summary) == 1:
raise ValueError("至少提供一个导入 JSON(--projects-json / --achievements-json / --expenses-json)")
_print_json(summary)
finish(status="success", message="批量导入完成", skill=SKILL_SLUG, stage="ledger")
return 0
except ValueError as exc:
log.warning("task_failed task_type=import error_code=PROJECT_INVALID detail=%s", exc)
finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="PROJECT_INVALID", stage="ledger")
print(f"ERROR:PROJECT_INVALID {exc}")
return 1
except JobStopped:
raise
except Exception:
log.exception("task_failed task_type=import stage=ledger")
finish(status="failed", message="批量导入异常,详见统一日志", skill=SKILL_SLUG, stage="ledger")
return 1
def cmd_list(kind: str = "projects", project_no: str = "", status: str = "") -> int:
log = _get_task_logger()
from service.ledger_service import list_achievements, list_expenses, list_projects
with job_context(skill=SKILL_SLUG):
log.info("task_start task_type=list kind=%s project_no=%s", kind, project_no)
try:
if kind == "achievements":
rows = list_achievements(project_no)
elif kind == "expenses":
rows = list_expenses(project_no)
else:
rows = list_projects(status=status)
_print_json({"ok": True, "count": len(rows), "rows": rows})
return 0
except Exception:
log.exception("task_failed task_type=list")
print("ERROR:QUERY_FAILED 台账查询异常,详见统一日志")
return 1
# ---------------------------------------------------------------------------
# 初稿生成
# ---------------------------------------------------------------------------
def cmd_draft_report(*, project_no: str) -> int:
"""结题报告初稿(主命令,同步):指定项目生成 Word 初稿 + HTML 预览。"""
log = _get_task_logger()
from service.draft_service import query_pending_projects, run_draft
with job_context(skill=SKILL_SLUG):
log.info("task_start task_type=draft_report project_no=%s stage=draft", project_no)
emit("开始生成结题报告初稿", skill=SKILL_SLUG, stage="draft")
try:
ok, reason = check_entitlement(SKILL_SLUG)
if not ok:
log.warning("entitlement_failed task_type=draft_report stage=auth")
finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
print(f"ERROR:ENTITLEMENT_DENIED {reason}")
return 1
projects = query_pending_projects(project_no=project_no)
if not projects:
message = f"未找到该项目(编号 {project_no})或项目状态不是“待结题”"
log.warning("task_failed task_type=draft_report error_code=PROJECT_NOT_FOUND stage=draft")
finish(status="failed", message=message, skill=SKILL_SLUG, error_code="PROJECT_NOT_FOUND", stage="draft")
print(f"ERROR:PROJECT_NOT_FOUND {message}")
return 1
project = projects[0]
achievements = []
expenses = []
from service.ledger_service import list_achievements, list_expenses
achievements = list_achievements(project_no)
expenses = list_expenses(project_no)
result = run_draft(project, achievements, expenses)
_print_json(result)
finish(
status="success",
message=f"初稿已生成:{result['draft_file']}",
skill=SKILL_SLUG,
stage="draft",
batch_no=result["batch_no"],
)
return 0
except JobStopped:
raise
except ValueError as exc:
log.warning("task_failed task_type=draft_report error_code=PROJECT_INVALID detail=%s", exc)
finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="PROJECT_INVALID", stage="draft")
print(f"ERROR:PROJECT_INVALID {exc}")
return 1
except Exception:
log.exception("task_failed task_type=draft_report stage=draft")
emit("初稿生成失败,已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="draft")
finish(status="failed", message="初稿生成异常,详见统一日志", skill=SKILL_SLUG, stage="draft")
return 1
def cmd_draft_batch_pending() -> int:
"""批量初稿(async Action 入口):为全部“待结题”项目生成初稿,任务中心可见进度。"""
log = _get_task_logger()
from service.draft_service import query_pending_projects, run_draft
from service.ledger_service import list_achievements, list_expenses
with job_context(skill=SKILL_SLUG):
log.info("task_start task_type=draft_batch stage=batch")
emit("开始批量生成结题初稿", skill=SKILL_SLUG, stage="batch")
try:
ok, reason = check_entitlement(SKILL_SLUG)
if not ok:
log.warning("entitlement_failed task_type=draft_batch stage=auth")
finish(status="failed", message=reason, skill=SKILL_SLUG, error_code="ENTITLEMENT_DENIED", stage="auth")
print(f"ERROR:ENTITLEMENT_DENIED {reason}")
return 1
projects = query_pending_projects()
if not projects:
message = "没有“待结题”状态的项目,批量生成跳过"
log.warning("task_failed task_type=draft_batch error_code=PROJECT_NOT_FOUND stage=batch")
finish(status="failed", message=message, skill=SKILL_SLUG, error_code="PROJECT_NOT_FOUND", stage="batch")
print(f"ERROR:PROJECT_NOT_FOUND {message}")
return 1
drafts = []
for index, project in enumerate(projects, start=1):
emit(f"[{index}/{len(projects)}] {project.get('project_name') or project.get('project_no')}", skill=SKILL_SLUG, stage="batch")
try:
result = run_draft(project, list_achievements(project["project_no"]), list_expenses(project["project_no"]))
drafts.append({"draft_id": result["draft_id"], "project_no": result["project_no"], "draft_file": result["draft_file"]})
except Exception:
log.exception("draft_batch_item_failed project_no=%s", project.get("project_no"))
_print_json({"ok": True, "count": len(drafts), "drafts": drafts})
finish(status="success", message=f"批量初稿完成 {len(drafts)}/{len(projects)} 个项目", skill=SKILL_SLUG, stage="batch")
return 0
except JobStopped:
raise
except Exception:
log.exception("task_failed task_type=draft_batch stage=batch")
emit("批量初稿失败,已记录诊断信息", type="warn", skill=SKILL_SLUG, stage="batch")
finish(status="failed", message="批量初稿执行异常,详见统一日志", skill=SKILL_SLUG, stage="batch")
return 1
# ---------------------------------------------------------------------------
# 记录与统计
# ---------------------------------------------------------------------------
def cmd_list_drafts(limit: int = 20) -> int:
log = _get_task_logger()
from service.ledger_service import list_drafts
with job_context(skill=SKILL_SLUG):
log.info("task_start task_type=list_drafts limit=%s", limit)
try:
drafts = list_drafts(limit=limit)
_print_json({"ok": True, "count": len(drafts), "drafts": drafts})
return 0
except Exception:
log.exception("task_failed task_type=list_drafts")
print("ERROR:QUERY_FAILED 初稿记录查询异常,详见统一日志")
return 1
def cmd_show_draft(draft_id: int) -> int:
log = _get_task_logger()
from service.ledger_service import get_draft
with job_context(skill=SKILL_SLUG):
log.info("task_start task_type=show_draft draft_id=%s", draft_id)
try:
draft = get_draft(int(draft_id))
_print_json({"ok": True, "draft": draft})
return 0
except ValueError as exc:
log.warning("task_failed task_type=show_draft error_code=DRAFT_NOT_FOUND detail=%s", exc)
print(f"ERROR:DRAFT_NOT_FOUND {exc}")
return 1
except Exception:
log.exception("task_failed task_type=show_draft")
print("ERROR:QUERY_FAILED 初稿记录查询异常,详见统一日志")
return 1
def cmd_render_html(report_id: Optional[int] = None) -> int:
log = _get_task_logger()
from service.ledger_service import list_drafts
from service.report_service import build_preview_for_draft_id
with job_context(skill=SKILL_SLUG):
log.info("task_start task_type=render_html report_id=%s stage=render", report_id)
try:
if report_id:
targets = [int(report_id)]
else:
targets = [d["id"] for d in list_drafts(limit=10)]
if not targets:
log.warning("task_failed task_type=render_html error_code=DRAFT_NOT_FOUND stage=render")
finish(status="failed", message="暂无可重建的初稿记录", skill=SKILL_SLUG, error_code="DRAFT_NOT_FOUND", stage="render")
print("ERROR:DRAFT_NOT_FOUND 暂无可重建的初稿记录")
return 1
written = [{"draft_id": did, "path": build_preview_for_draft_id(did)} for did in targets]
_print_json({"ok": True, "count": len(written), "previews": written})
finish(status="success", message=f"已重建 {len(written)} 份预览", skill=SKILL_SLUG, stage="render")
return 0
except JobStopped:
raise
except ValueError as exc:
log.warning("task_failed task_type=render_html error_code=DRAFT_NOT_FOUND detail=%s", exc)
finish(status="failed", message=str(exc), skill=SKILL_SLUG, error_code="DRAFT_NOT_FOUND", stage="render")
print(f"ERROR:DRAFT_NOT_FOUND {exc}")
return 1
except Exception:
log.exception("task_failed task_type=render_html stage=render")
finish(status="failed", message="预览重建异常,详见统一日志", skill=SKILL_SLUG, stage="render")
return 1
def cmd_stats() -> int:
log = _get_task_logger()
from service.ledger_service import stats
with job_context(skill=SKILL_SLUG):
log.info("task_start task_type=stats")
try:
_print_json(stats())
return 0
except Exception:
log.exception("task_failed task_type=stats")
print("ERROR:QUERY_FAILED 统计查询异常,详见统一日志")
return 1

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"""argparse 中文错误说明。"""
from __future__ import annotations
import argparse
import sys
class ZhArgumentParser(argparse.ArgumentParser):
def error(self, message: str) -> None:
print(f"参数错误:{message}\n请执行:python main.py -h 查看帮助", file=sys.stderr)
self.exit(2)

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"""技能配置初始化:.env.example 落盘与用户 .env 缺失项合并。"""
from __future__ import annotations
import os
from jiangchang_skill_core import config
from util.constants import SKILL_SLUG, SKILL_VERSION
from util.runtime_paths import get_skill_root
def bootstrap_skill_config() -> str:
"""确保用户数据目录 .env 存在,并追加 .env.example 中的新配置项。"""
example_path = os.path.join(get_skill_root(), ".env.example")
env_path = config.ensure_env_file(SKILL_SLUG, example_path)
comment = f"{SKILL_SLUG} v{SKILL_VERSION}" if SKILL_VERSION else None
config.merge_missing_env_keys(example_path, env_path, comment_skill=comment)
return env_path

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"""技能标识、版本与平台公共库约束(结题报告初稿助手)。"""
SKILL_SLUG = "draft-closing-report-default"
SKILL_VERSION = "1.0.1"
LOG_LOGGER_NAME = "openclaw.skill.draft_closing_report_default"
PLATFORM_KIT_MIN_VERSION = "1.2.11"

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"""Re-export unified logging (implementation: jiangchang_skill_core.unified_logging)."""
from jiangchang_skill_core.unified_logging import (
attach_unified_file_handler,
ensure_trace_for_process,
get_skill_log_file_path,
get_skill_logger,
get_unified_logs_dir,
setup_skill_logging,
subprocess_env_with_trace,
)
__all__ = [
"attach_unified_file_handler",
"ensure_trace_for_process",
"get_skill_log_file_path",
"get_skill_logger",
"get_unified_logs_dir",
"setup_skill_logging",
"subprocess_env_with_trace",
]

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"""数据根、技能目录、兄弟技能根路径与用户数据子目录解析。"""
from __future__ import annotations
import os
from jiangchang_skill_core.runtime_env import get_data_root, get_sibling_skills_root, get_user_id
from util.constants import SKILL_SLUG
_SCRIPTS_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# 用户可见的上行/下行目录(数据管理「输入/输出」文件浏览器)
STANDARD_SUBDIR_INPUT = "input"
STANDARD_SUBDIR_OUTPUT = "output"
# 宿主扫描的 HTML 报告页(数据管理侧栏 htmlPages,非 input/output 文件浏览器)
STANDARD_SUBDIR_HTML = "html"
# 内部/可选目录(不上侧栏)
STANDARD_SUBDIR_UPLOADS = "uploads"
STANDARD_SUBDIR_CACHE = "cache"
STANDARD_SUBDIR_TEMP = "temp"
STANDARD_SUBDIR_RPA_ARTIFACTS = "rpa-artifacts"
STANDARD_SUBDIR_VIDEOS = "videos"
CONFIG_KEY_INPUT_DIR = "SKILL_INPUT_DIR"
CONFIG_KEY_OUTPUT_DIR = "SKILL_OUTPUT_DIR"
CONFIG_KEY_UPLOAD_DIR = "SKILL_UPLOAD_DIR"
CONFIG_KEY_CACHE_DIR = "SKILL_CACHE_DIR"
CONFIG_KEY_TEMP_DIR = "SKILL_TEMP_DIR"
def get_skill_root() -> str:
return os.path.dirname(_SCRIPTS_DIR)
def get_openclaw_root() -> str:
return get_sibling_skills_root(_SCRIPTS_DIR)
def get_skills_root() -> str:
return get_sibling_skills_root(_SCRIPTS_DIR)
def get_skill_data_dir() -> str:
path = os.path.join(get_data_root(), get_user_id(), SKILL_SLUG)
os.makedirs(path, exist_ok=True)
return path
def get_db_path(filename: str | None = None) -> str:
name = filename or f"{SKILL_SLUG}.db"
return os.path.join(get_skill_data_dir(), name)
def _normalize_subdir(value: str) -> str:
cleaned = value.strip().strip("/\\")
if not cleaned or cleaned.startswith(".."):
raise ValueError(f"invalid skill data subdir: {value!r}")
return cleaned.replace("/", os.sep).replace("\\", os.sep)
def resolve_data_path(
config_key: str | None,
default_subdir: str,
*,
create: bool = True,
) -> str:
"""解析技能拥有路径:空配置 → 数据目录下 default_subdir;相对 → 相对数据目录;绝对 → 原样。"""
from jiangchang_skill_core import config
base = get_skill_data_dir()
raw = (config.get(config_key) or "").strip() if config_key else ""
if not raw:
path = os.path.join(base, _normalize_subdir(default_subdir))
elif os.path.isabs(raw):
path = os.path.abspath(os.path.expanduser(raw))
else:
path = os.path.join(base, _normalize_subdir(raw))
if create:
os.makedirs(path, exist_ok=True)
return path
def resolve_input_path(raw_path: str, *, create_parent: bool = False) -> str:
"""解析 CLI 输入路径:绝对路径原样;相对路径相对 {skill_data_dir}/input/。"""
text = (raw_path or "").strip()
if not text:
return text
expanded = os.path.expanduser(text)
if os.path.isabs(expanded):
return os.path.abspath(expanded)
input_dir = get_input_dir(create=create_parent)
return os.path.abspath(os.path.join(input_dir, os.path.normpath(expanded)))
def get_input_dir(*, create: bool = True) -> str:
"""上行:用户/Agent 放入的待处理文件(清单、CSV、产品表等)。"""
return resolve_data_path(CONFIG_KEY_INPUT_DIR, STANDARD_SUBDIR_INPUT, create=create)
def get_output_dir(*, create: bool = True) -> str:
"""下行:技能/宿主交给用户拿走的文件(视频、报表、导出 CSV 等)。"""
return resolve_data_path(CONFIG_KEY_OUTPUT_DIR, STANDARD_SUBDIR_OUTPUT, create=create)
def get_uploads_dir(*, create: bool = True) -> str:
return resolve_data_path(CONFIG_KEY_UPLOAD_DIR, STANDARD_SUBDIR_UPLOADS, create=create)
def get_cache_dir(*, create: bool = True) -> str:
return resolve_data_path(CONFIG_KEY_CACHE_DIR, STANDARD_SUBDIR_CACHE, create=create)
def get_temp_dir(*, create: bool = True) -> str:
return resolve_data_path(CONFIG_KEY_TEMP_DIR, STANDARD_SUBDIR_TEMP, create=create)
def get_rpa_artifacts_dir(batch_id: str, *, create: bool = True) -> str:
batch = (batch_id or "").strip() or "default"
path = os.path.join(get_skill_data_dir(), STANDARD_SUBDIR_RPA_ARTIFACTS, batch)
if create:
os.makedirs(path, exist_ok=True)
return path
def get_videos_dir(*, create: bool = True) -> str:
path = os.path.join(get_skill_data_dir(), STANDARD_SUBDIR_VIDEOS)
if create:
os.makedirs(path, exist_ok=True)
return path
def get_html_dir(*, create: bool = True) -> str:
"""HTML 报告页目录:宿主扫描 `{skill_data}/html/*.html`(一层、非递归)。"""
path = os.path.join(get_skill_data_dir(), STANDARD_SUBDIR_HTML)
if create:
os.makedirs(path, exist_ok=True)
return path
def list_resolved_data_paths() -> dict[str, str]:
"""供 health / config-path 输出已解析的数据子目录(不创建目录)。"""
return {
"skill_data_dir": get_skill_data_dir(),
"input_dir": get_input_dir(create=False),
"output_dir": get_output_dir(create=False),
"html_dir": get_html_dir(create=False),
"uploads_dir": get_uploads_dir(create=False),
"cache_dir": get_cache_dir(create=False),
"temp_dir": get_temp_dir(create=False),
"videos_dir": get_videos_dir(create=False),
}

227
scripts/util/slug_naming.py Normal file
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"""技能 slug 语义校验(verb-noun-platform 规范,见 development/NAMING.md)。"""
from __future__ import annotations
import os
import re
_KEBAB_SLUG = re.compile(r"^[a-z0-9]+(?:-[a-z0-9]+)*$")
_MAX_SLUG_LENGTH = 48
_MIN_SEGMENTS = 3
_MAX_SEGMENTS = 5
_MAX_NOUN_SEGMENTS = 3
_SKILL_ROOT = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
_NAMING_DIR = os.path.join(_SKILL_ROOT, "assets", "naming")
_BUILTIN_VERBS = frozenset(
{
"scrape",
"receive",
"download",
"export",
"add",
"fill",
"enter",
"bind",
"withdraw",
"reconcile",
"verify",
"submit",
"query",
"process",
"reply",
"generate",
"draft",
"review",
"confirm",
"track",
"upload",
"match",
"triage",
"ship",
"reprice",
}
)
_BUILTIN_PLATFORMS = frozenset(
{
"amazon",
"shopee",
"xinghang",
"alibaba",
"kingdee",
"icbc",
"pingpong",
"worldfirst",
"paypal",
"lianlian",
"single-window",
"export-rebate",
"etax",
}
)
_BUILTIN_SCOPES = frozenset({"all", "batch", "multi", "default"})
LEGACY_EXEMPT_SLUGS: frozenset[str] = frozenset(
{
"account-manager",
"skill-template",
"your-skill-slug",
"your_skill_slug",
}
)
def load_wordlist(filename: str) -> frozenset[str]:
"""从 assets/naming/{filename} 加载词表;文件不存在时 fallback 内置集合。"""
fallbacks = {
"verbs.txt": _BUILTIN_VERBS,
"platforms.txt": _BUILTIN_PLATFORMS,
"scopes.txt": _BUILTIN_SCOPES,
}
fallback = fallbacks.get(filename, frozenset())
path = os.path.join(_NAMING_DIR, filename)
if not os.path.isfile(path):
return fallback
words: set[str] = set()
with open(path, encoding="utf-8") as f:
for line in f:
word = line.strip()
if word and not word.startswith("#"):
words.add(word)
return frozenset(words) if words else fallback
def parse_slug_segments(slug: str) -> list[str]:
"""按 '-' 分割;非法字符由上层 kebab 校验处理。"""
slug = slug.strip()
if not slug:
return []
return slug.split("-")
def _match_platform_suffix(
segments: list[str],
platforms: frozenset[str],
) -> tuple[str, int] | None:
"""返回 (platform_name, platform_part_count) 或 None。"""
for platform in sorted(platforms, key=lambda item: (-item.count("-"), item)):
parts = platform.split("-")
part_count = len(parts)
if len(segments) < part_count + 2:
continue
if segments[-part_count:] == parts:
return platform, part_count
return None
def classify_slug_form(segments: list[str], *, slug: str = "") -> str:
"""
返回: 'legacy_exempt' | 'standard' | 'scope' | 'invalid'
- legacy_exempt: slug in LEGACY_EXEMPT_SLUGS
- standard: 末段匹配 platforms, 首段 in verbs, 3<=len<=5
- scope: 末段 in scopes, 首段 in verbs, 3<=len<=5
- invalid: 其他
"""
if slug in LEGACY_EXEMPT_SLUGS:
return "legacy_exempt"
if not segments or not (_MIN_SEGMENTS <= len(segments) <= _MAX_SEGMENTS):
return "invalid"
verbs = load_wordlist("verbs.txt")
platforms = load_wordlist("platforms.txt")
scopes = load_wordlist("scopes.txt")
if segments[0] not in verbs:
return "invalid"
if segments[-1] in scopes:
return "scope"
if _match_platform_suffix(segments, platforms) is not None:
return "standard"
return "invalid"
def validate_slug_semantics(
slug: str,
*,
strict: bool = True,
) -> tuple[list[str], list[str]]:
"""返回 (errors, warnings)。"""
slug = slug.strip()
if slug in LEGACY_EXEMPT_SLUGS:
return [], []
errors: list[str] = []
warnings: list[str] = []
if not _KEBAB_SLUG.fullmatch(slug):
msg = f"slug 必须为 kebab-case(小写字母、数字、连字符):{slug!r}"
(errors if strict else warnings).append(msg)
return errors, warnings
if len(slug) > _MAX_SLUG_LENGTH:
msg = f"slug 长度不得超过 {_MAX_SLUG_LENGTH} 字符(当前 {len(slug)}):{slug!r}"
(errors if strict else warnings).append(msg)
segments = parse_slug_segments(slug)
segment_count = len(segments)
if segment_count < _MIN_SEGMENTS:
msg = (
f"slug 段数应为 {_MIN_SEGMENTS}~{_MAX_SEGMENTS}(verb-noun-platform),"
f"当前为 {segment_count} 段:{slug!r};新技能禁止 2 段无平台形态(如 reconcile-finance)"
)
(errors if strict else warnings).append(msg)
return errors, warnings
if segment_count > _MAX_SEGMENTS:
msg = f"slug 段数不得超过 {_MAX_SEGMENTS}(当前 {segment_count}):{slug!r}"
(errors if strict else warnings).append(msg)
verbs = load_wordlist("verbs.txt")
platforms = load_wordlist("platforms.txt")
scopes = load_wordlist("scopes.txt")
if segments[0] in platforms and segments[0] not in verbs:
msg = f"平台名不应放在 slug 最前:{slug!r}(应为 verb-noun-platform)"
(errors if strict else warnings).append(msg)
if segments[0] not in verbs:
msg = f"slug 首段应为动词白名单中的词:{segments[0]!r}(slug={slug!r})"
(errors if strict else warnings).append(msg)
form = classify_slug_form(segments, slug=slug)
if form == "scope":
if segments[-1] not in scopes:
msg = f"slug 末段应为 scope 白名单中的词:{segments[-1]!r}(slug={slug!r})"
(errors if strict else warnings).append(msg)
noun_count = segment_count - 2
elif form == "standard":
platform_match = _match_platform_suffix(segments, platforms)
if platform_match is None:
msg = f"slug 末段应匹配平台白名单:{slug!r}"
(errors if strict else warnings).append(msg)
noun_count = 0
else:
_platform_name, platform_part_count = platform_match
noun_count = segment_count - 1 - platform_part_count
else:
if segment_count >= _MIN_SEGMENTS:
if segments[-1] not in scopes:
platform_match = _match_platform_suffix(segments, platforms)
if platform_match is None:
msg = f"slug 末段应匹配平台或 scope 白名单:{slug!r}"
(errors if strict else warnings).append(msg)
noun_count = 0
if noun_count > _MAX_NOUN_SEGMENTS:
warnings.append(
f"slug 中间名词段建议不超过 {_MAX_NOUN_SEGMENTS} 个词(当前 {noun_count}):{slug!r}"
)
return errors, warnings

20
scripts/util/timeutil.py Normal file
View File

@@ -0,0 +1,20 @@
"""时间戳与 ISO 展示。"""
from __future__ import annotations
import time
from datetime import datetime
from typing import Optional
def now_unix() -> int:
return int(time.time())
def unix_to_iso(ts: Optional[int]) -> Optional[str]:
if ts is None:
return None
try:
return datetime.fromtimestamp(int(ts)).isoformat(timespec="seconds")
except (ValueError, OSError, OverflowError):
return None