feat: 项目经费进度播报助手首版 v1.0.1(track-fund-progress-default)
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252
scripts/db/connection.py
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252
scripts/db/connection.py
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@@ -0,0 +1,252 @@
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"""SQLite 连接与幂等初始化(项目经费进度播报助手)。
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业务表 3 张:
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- fund_projects(项目台账,金额/日期/状态字段可编辑)
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- progress_reports(播报记录,只读,播报自动写入)
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- alert_rules(预警规则,阈值可编辑)
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表间禁止 SQLite 外键,仅存业务 id(见 references/SCHEMA.md)。
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"""
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from __future__ import annotations
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import sqlite3
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from db.display_metadata import (
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init_display_metadata,
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seed_column_metadata_batch,
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upsert_table_metadata,
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)
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from db.seed_data import seed_all
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from db.timestamp_columns import init_updated_at_trigger
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from util.runtime_paths import get_db_path
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def get_conn() -> sqlite3.Connection:
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return sqlite3.connect(get_db_path())
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_FUND_PROJECTS_DDL = """
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CREATE TABLE IF NOT EXISTS fund_projects (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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project_no TEXT NOT NULL UNIQUE,
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project_name TEXT,
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project_type TEXT,
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pi_name TEXT,
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department TEXT,
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total_approved REAL,
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total_received REAL,
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total_spent REAL,
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frozen_amount REAL,
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frozen_since TEXT,
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start_date TEXT,
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end_date TEXT,
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status TEXT NOT NULL DEFAULT '在研',
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remark TEXT,
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created_at INTEGER NOT NULL DEFAULT (unixepoch()),
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updated_at INTEGER NOT NULL DEFAULT (unixepoch())
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)
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"""
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_PROGRESS_REPORTS_DDL = """
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CREATE TABLE IF NOT EXISTS progress_reports (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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batch_no TEXT NOT NULL,
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project_id INTEGER,
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project_no TEXT,
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project_name TEXT,
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pi_name TEXT,
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as_of TEXT,
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spend_rate REAL,
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time_progress REAL,
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deviation REAL,
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status_tag TEXT NOT NULL,
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summary TEXT,
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suggestions_json TEXT,
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report_file TEXT,
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created_at INTEGER NOT NULL DEFAULT (unixepoch())
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)
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"""
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_PROGRESS_REPORTS_INDEX = """
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CREATE INDEX IF NOT EXISTS idx_progress_reports_batch
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ON progress_reports(batch_no)
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"""
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_ALERT_RULES_DDL = """
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CREATE TABLE IF NOT EXISTS alert_rules (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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rule_key TEXT NOT NULL UNIQUE,
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display_name TEXT,
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threshold_value REAL NOT NULL,
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description TEXT,
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created_at INTEGER NOT NULL DEFAULT (unixepoch()),
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updated_at INTEGER NOT NULL DEFAULT (unixepoch())
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)
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"""
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_TS_COLUMN_NAMES = {"created_at", "updated_at"}
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def _col(column_name: str, display_name: str, description: str, **extra: object) -> dict[str, object]:
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base: dict[str, object] = {
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"column_name": column_name,
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"display_name": display_name,
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"description": description,
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"visible": 1,
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"searchable": 0,
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"editable": 0,
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}
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base.update(extra)
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if column_name in _TS_COLUMN_NAMES:
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base["display_type"] = "datetime_unix_seconds"
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return base
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_FUND_PROJECTS_COLUMNS: tuple[dict[str, object], ...] = (
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_col("id", "编号", "主键", searchable=1),
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_col("project_no", "项目编号", "项目唯一编号(财务/科研系统口径)。", searchable=1),
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_col("project_name", "项目名称", "项目全称。", searchable=1, editable=1),
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_col(
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"project_type",
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"项目类别",
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"纵向 / 横向 / 其他。",
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searchable=1,
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editable=1,
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options_json='[{"value":"纵向","label":"纵向"},{"value":"横向","label":"横向"},{"value":"其他","label":"其他"}]',
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),
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_col("pi_name", "负责人", "项目负责人(PI)姓名。", searchable=1, editable=1),
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_col("department", "所属学院", "二级学院/单位。", searchable=1, editable=1),
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_col("total_approved", "总立项经费", "立项批复总经费(元)。", searchable=1, editable=1, display_type="number"),
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_col("total_received", "已到账金额", "已到账经费(元),执行率分母。", searchable=1, editable=1, display_type="number"),
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_col("total_spent", "已报销金额", "已报销支出(元),执行率分子。", searchable=1, editable=1, display_type="number"),
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_col("frozen_amount", "冻结/暂付款", "冻结或暂付款金额(元)。", searchable=1, editable=1, display_type="number"),
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_col("frozen_since", "暂付款最早发生日", "最早一笔暂付款发生日期(YYYY-MM-DD),用于账龄提醒。", editable=1),
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_col("start_date", "执行期开始", "项目执行期开始日期(YYYY-MM-DD)。", searchable=1, editable=1),
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_col("end_date", "执行期结束", "项目执行期结束日期(YYYY-MM-DD)。", searchable=1, editable=1),
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_col(
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"status",
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"项目状态",
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"在研 / 已结题 / 暂缓;播报默认只处理“在研”。",
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searchable=1,
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editable=1,
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options_json='[{"value":"在研","label":"在研"},{"value":"已结题","label":"已结题"},{"value":"暂缓","label":"暂缓"}]',
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),
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_col("remark", "备注", "维护说明。", editable=1),
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_col("created_at", "创建时间", "记录创建时间(Unix 秒级时间戳,自动生成)。"),
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_col("updated_at", "更新时间", "记录最后更新时间(Unix 秒级时间戳,自动维护)。"),
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)
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_PROGRESS_REPORTS_COLUMNS: tuple[dict[str, object], ...] = (
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_col("id", "报告编号", "主键,播报记录编号。", searchable=1),
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_col("batch_no", "播报批次号", "同一次播报请求的批次号。", searchable=1),
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_col("project_id", "项目编号(id)", "关联项目台账主键。", searchable=1),
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_col("project_no", "项目编号", "项目唯一编号。", searchable=1),
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_col("project_name", "项目名称", "项目全称。", searchable=1),
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_col("pi_name", "负责人", "项目负责人姓名。", searchable=1),
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_col("as_of", "评估基准日", "本次播报的数据截止日期(YYYY-MM-DD)。", searchable=1),
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_col("spend_rate", "实际支出率", "已报销/已到账(小数)。", searchable=1, display_type="number"),
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_col("time_progress", "序时进度", "已过天数/总执行天数(小数)。", searchable=1, display_type="number"),
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_col("deviation", "偏差", "实际支出率 − 序时进度(小数,正=偏快,负=偏慢)。", searchable=1, display_type="number"),
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_col(
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"status_tag",
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"执行状态",
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"严重滞后 / 支出异常偏快 / 正常 / 待补录 / 未到账。",
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searchable=1,
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options_json='[{"value":"严重滞后","label":"🔴 严重滞后"},{"value":"支出异常偏快","label":"🟠 支出异常偏快"},{"value":"正常","label":"🟢 正常"},{"value":"待补录","label":"⚪ 待补录"},{"value":"未到账","label":"⚪ 未到账"}]',
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),
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_col("summary", "播报摘要", "三段式播报文本(现状/诊断/建议)。", visible=0, display_type="textarea"),
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_col("suggestions_json", "建议清单", "建议条目(JSON 数组,默认隐藏)。", visible=0, display_type="textarea"),
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_col("report_file", "简报文件", "《经费执行简报》HTML 文件路径。", visible=0),
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_col("created_at", "创建时间", "报告创建时间(Unix 秒级时间戳,自动生成)。"),
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)
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_ALERT_RULES_COLUMNS: tuple[dict[str, object], ...] = (
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_col("id", "编号", "主键", searchable=1),
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_col("rule_key", "规则键", "阈值键名(lag_threshold / overshoot_threshold / pending_aging_days / closing_warn_days)。", searchable=1),
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_col("display_name", "名称", "阈值中文名。", searchable=1),
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_col("threshold_value", "阈值", "阈值数值(比例为小数,天数为正整数)。", searchable=1, editable=1, display_type="number"),
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_col("description", "说明", "阈值口径说明。", searchable=1, editable=1),
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_col("created_at", "创建时间", "记录创建时间(Unix 秒级,自动生成)。"),
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_col("updated_at", "更新时间", "记录最后更新时间(Unix 秒级,自动维护)。"),
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)
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def _init_fund_projects_metadata(cursor) -> None:
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cursor.execute(_FUND_PROJECTS_DDL)
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init_updated_at_trigger(cursor, "fund_projects")
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upsert_table_metadata(
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cursor,
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table_name="fund_projects",
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display_name="项目台账",
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description="PI 名下项目的基础台账:立项/到账/报销/暂付款与执行周期;播报的数据源。",
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grid_help="金额单位为元;顶栏按钮可录入项目,行内可直接编辑金额与日期;播报默认只处理“在研”项目。",
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visible=1,
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readonly=0,
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default_sort_json='[{"column":"id","direction":"desc"}]',
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default_visible_columns_json='["project_no","project_name","pi_name","department","total_approved","total_received","total_spent","status"]',
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)
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seed_column_metadata_batch(
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cursor,
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table_name="fund_projects",
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columns=_FUND_PROJECTS_COLUMNS,
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valid_column_names=[str(c["column_name"]) for c in _FUND_PROJECTS_COLUMNS],
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)
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def _init_progress_reports_metadata(cursor) -> None:
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cursor.execute(_PROGRESS_REPORTS_DDL)
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cursor.execute(_PROGRESS_REPORTS_INDEX)
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upsert_table_metadata(
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cursor,
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table_name="progress_reports",
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display_name="播报记录",
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description="每次播报的项目执行状态、偏差与三段式摘要;可重建 HTML 简报。",
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grid_help="“严重滞后/支出异常偏快”的行建议由科研秘书或财务处跟进;简报可用顶栏按钮重建。",
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visible=1,
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readonly=1,
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default_sort_json='[{"column":"id","direction":"desc"}]',
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default_visible_columns_json='["id","as_of","project_no","project_name","pi_name","spend_rate","time_progress","deviation","status_tag"]',
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)
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seed_column_metadata_batch(
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cursor,
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table_name="progress_reports",
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columns=_PROGRESS_REPORTS_COLUMNS,
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valid_column_names=[str(c["column_name"]) for c in _PROGRESS_REPORTS_COLUMNS],
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)
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def _init_alert_rules_metadata(cursor) -> None:
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cursor.execute(_ALERT_RULES_DDL)
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init_updated_at_trigger(cursor, "alert_rules")
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upsert_table_metadata(
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cursor,
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table_name="alert_rules",
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display_name="预警规则",
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description="偏差诊断与提醒阈值(严重滞后/异常偏快/暂付款账龄/结题预警)。",
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grid_help="比例为小数(0.10=10个百分点),天数为正整数;修改后下一次播报即生效。",
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visible=1,
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readonly=0,
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)
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seed_column_metadata_batch(
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cursor,
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table_name="alert_rules",
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columns=_ALERT_RULES_COLUMNS,
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valid_column_names=[str(c["column_name"]) for c in _ALERT_RULES_COLUMNS],
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)
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def init_db() -> dict[str, int]:
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"""幂等创建/迁移本地 SQLite、数据管理元数据与业务种子,返回种子统计。"""
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conn = get_conn()
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try:
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cur = conn.cursor()
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init_display_metadata(cur)
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_init_fund_projects_metadata(cur)
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_init_progress_reports_metadata(cur)
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_init_alert_rules_metadata(cur)
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seeded = seed_all(cur)
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conn.commit()
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return seeded
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finally:
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conn.close()
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324
scripts/db/display_metadata.py
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324
scripts/db/display_metadata.py
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@@ -0,0 +1,324 @@
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"""匠厂数据管理展示元数据(_jiangchang_tables / _jiangchang_columns)。
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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。
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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。
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"""
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from __future__ import annotations
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from typing import Iterable
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# 宿主会隐藏这些表,不作为业务表展示(见 jiangchang electron/data-management/types.ts)
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INTERNAL_METADATA_TABLES = frozenset({"_jiangchang_tables", "_jiangchang_columns"})
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LEGACY_METADATA_TABLES = frozenset({"_schema_meta"})
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METADATA_TABLES = INTERNAL_METADATA_TABLES | LEGACY_METADATA_TABLES
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DATETIME_UNIX_SECONDS = "datetime_unix_seconds"
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STANDARD_TIMESTAMP_COLUMNS = frozenset({"created_at", "updated_at"})
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_JIANGCHANG_TABLES_DDL = """
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CREATE TABLE IF NOT EXISTS _jiangchang_tables (
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table_name TEXT PRIMARY KEY,
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display_name TEXT NOT NULL,
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description TEXT,
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grid_help TEXT,
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sort_order INTEGER,
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visible INTEGER NOT NULL DEFAULT 1,
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readonly INTEGER NOT NULL DEFAULT 0,
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default_sort_json TEXT,
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default_visible_columns_json TEXT
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)
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"""
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_JIANGCHANG_COLUMNS_DDL = """
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CREATE TABLE IF NOT EXISTS _jiangchang_columns (
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table_name TEXT NOT NULL,
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column_name TEXT NOT NULL,
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display_name TEXT NOT NULL,
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description TEXT,
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grid_help TEXT,
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display_order INTEGER,
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visible INTEGER NOT NULL DEFAULT 1,
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searchable INTEGER NOT NULL DEFAULT 1,
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editable INTEGER NOT NULL DEFAULT 1,
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display_type TEXT,
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options_json TEXT,
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PRIMARY KEY (table_name, column_name)
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)
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"""
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def _pragma_column_names(cursor, table_name: str) -> set[str]:
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cursor.execute(f"PRAGMA table_info({table_name!r})")
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return {str(row[1]) for row in cursor.fetchall()}
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def _ensure_jiangchang_tables_columns(cursor) -> None:
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"""旧库补列:CREATE IF NOT EXISTS 不会给已有表加新字段。"""
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cols = _pragma_column_names(cursor, "_jiangchang_tables")
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if "default_sort_json" not in cols:
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cursor.execute("ALTER TABLE _jiangchang_tables ADD COLUMN default_sort_json TEXT")
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if "default_visible_columns_json" not in cols:
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cursor.execute(
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"ALTER TABLE _jiangchang_tables ADD COLUMN default_visible_columns_json TEXT"
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)
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if "grid_help" not in cols:
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cursor.execute("ALTER TABLE _jiangchang_tables ADD COLUMN grid_help TEXT")
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def _ensure_jiangchang_columns_columns(cursor) -> None:
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cols = _pragma_column_names(cursor, "_jiangchang_columns")
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if "grid_help" not in cols:
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cursor.execute("ALTER TABLE _jiangchang_columns ADD COLUMN grid_help TEXT")
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def init_display_metadata_tables(cursor) -> None:
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cursor.execute(_JIANGCHANG_TABLES_DDL)
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cursor.execute(_JIANGCHANG_COLUMNS_DDL)
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_ensure_jiangchang_tables_columns(cursor)
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_ensure_jiangchang_columns_columns(cursor)
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def upsert_table_metadata(
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cursor,
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*,
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table_name: str,
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display_name: str,
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description: str | None = None,
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grid_help: str | None = None,
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visible: int = 1,
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readonly: int = 0,
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default_sort_json: str | None = None,
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default_visible_columns_json: str | None = None,
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) -> None:
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"""写入表级元数据。
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default_sort_json: 宿主数据管理默认排序,JSON 数组,例如
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'[{"column":"sent_at","direction":"desc"},{"column":"id","direction":"desc"}]'
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为空则宿主回退到 updated_at → created_at → 主键。
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default_visible_columns_json: 宿主数据管理默认展示列,JSON 字符串数组,例如
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'["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]
|
||||
592
scripts/db/display_metadata_validator.py
Normal file
592
scripts/db/display_metadata_validator.py
Normal file
@@ -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)
|
||||
63
scripts/db/seed_data.py
Normal file
63
scripts/db/seed_data.py
Normal file
@@ -0,0 +1,63 @@
|
||||
"""业务种子数据:预警规则阈值。
|
||||
|
||||
init-db 幂等写入(存在即跳过,不覆盖管理员修改)。
|
||||
阈值缺省口径来自《核心建设内容:各部门"Skill"深度需求规格书》财务处 Skill 002:
|
||||
低于序时进度 10% 记"严重滞后",高于 20% 记"支出异常偏快";暂付款账龄 90 天。
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import sqlite3
|
||||
|
||||
from util.timeutil import now_unix
|
||||
|
||||
# (rule_key, display_name, threshold_value, description)
|
||||
_SEED_ALERT_RULES: tuple[tuple[str, str, float, str], ...] = (
|
||||
(
|
||||
"lag_threshold",
|
||||
"严重滞后阈值",
|
||||
0.10,
|
||||
"实际支出率低于序时进度该比例(小数,0.10=10个百分点)时标记“严重滞后”。",
|
||||
),
|
||||
(
|
||||
"overshoot_threshold",
|
||||
"支出异常偏快阈值",
|
||||
0.20,
|
||||
"实际支出率高于序时进度该比例(小数,0.20=20个百分点)时标记“支出异常偏快”,预警年底突击花钱。",
|
||||
),
|
||||
(
|
||||
"pending_aging_days",
|
||||
"暂付款账龄提醒天数",
|
||||
90.0,
|
||||
"暂付款自最早发生日起超过该天数(天)时提醒及时冲销。",
|
||||
),
|
||||
(
|
||||
"closing_warn_days",
|
||||
"结题临近预警天数",
|
||||
90.0,
|
||||
"距执行期结束不足该天数(天)且支出率低于 80% 时提醒尽快完成报销。",
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
def seed_alert_rules(cursor: sqlite3.Cursor) -> int:
|
||||
"""幂等写入预警规则种子,返回新增条数。"""
|
||||
inserted = 0
|
||||
for rule_key, display_name, threshold_value, description in _SEED_ALERT_RULES:
|
||||
cursor.execute("SELECT COUNT(*) FROM alert_rules WHERE rule_key = ?", (rule_key,))
|
||||
if int(cursor.fetchone()[0]) > 0:
|
||||
continue
|
||||
cursor.execute(
|
||||
"""
|
||||
INSERT INTO alert_rules (rule_key, display_name, threshold_value, description, created_at, updated_at)
|
||||
VALUES (?, ?, ?, ?, ?, ?)
|
||||
""",
|
||||
(rule_key, display_name, threshold_value, description, now_unix(), now_unix()),
|
||||
)
|
||||
inserted += 1
|
||||
return inserted
|
||||
|
||||
|
||||
def seed_all(cursor: sqlite3.Cursor) -> dict[str, int]:
|
||||
"""写入全部业务种子,返回各类新增条数。"""
|
||||
return {"alert_rules": seed_alert_rules(cursor)}
|
||||
50
scripts/db/timestamp_columns.py
Normal file
50
scripts/db/timestamp_columns.py
Normal file
@@ -0,0 +1,50 @@
|
||||
"""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
|
||||
Reference in New Issue
Block a user