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ThearchyHelios
2509 lines
136 KiB
Python
2509 lines
136 KiB
Python
"""业务数据目录：每张表一份业务说明，给助手建图、db_schema 工具和 SQL 检查（data/sqlcheck.py）用。
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**为什么要有它。** 接进来的业务库往往一个注释都没有：几百张表、上千个字段，助手只看得到名字，模型就会
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照着名字编字段、猜关联。目录把「一行代表什么、业务主键是哪几列、业务日期按哪列算、金额是什么单位、
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状态码各是什么意思、这张表和哪张表怎么连」记下来，并注明每一条是怎么来的、有没有人确认过。
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**只记数据事实，不放计算公式。** 公式（指标怎么算）在口径卡里；这里只描述数据本身。所以 notes 的
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字段是固定的一组，不认识的字段一律拒收（validate_notes）。
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notes 结构（每个「项」都是 {value, source, status}，可选 note、reason、updated_at）::
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{"label": 项(str), "description": 项(str), "grain": 项(str), "keys": 项(list[str]),
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"kind": 项("fact"|"dimension"|"snapshot"|"log"|"config"),
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"business_date": 项({"column": str, "rule": str, "timezone": str}),
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"valid_filter": 项(str，SQL 条件片段), "dedup": 项(str),
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"columns": {列名: {"label": 项, "meaning": 项, "unit": 项,
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"measure": 项("flow"|"stock"|"ratio"|"identifier"|"status"|"attribute"),
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"codes": 项(dict[码值, 含义]；含义可为空串，表示待填写；项上可带 complete: true，
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表示已列出全部取值)}},
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"relations": [{"id", "columns", "to_table", "to_columns", "cardinality", "coverage",
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"source", "status", "note"?, "reason"?, "cardinality_checked"?}]}
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note 是机器写的说明（模型起草的依据、数据剖析的测量、双盲复算的出处……）；reason 是保存修改提案时使用者确认的依据
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（界面上叫「确认时的依据」，最多 500 字），只由 apply_patch 写，两者分开存，规矩见 apply_patch。
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关系上的 cardinality_checked: true 只由数据剖析写：基数是用数据核实的（子表一侧数过 COUNT 和 COUNT(DISTINCT)，
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或者有主键、唯一约束）。外键约束、命名推断给的基数是按表结构推的，子表一侧可能每个键恰好一行；SQL 检查只在
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基数用数据核实过、或者人工确认过时，才把一对多关联后的重复计算报成错误（data/sqlcheck.py）。
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来源（source）：comment 数据库注释、fk 外键约束、name 命名推断、profile 数据剖析（data/catalog_profile.py）、
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llm 模型起草、human 人工填写。状态（status）：proposed 推断（命名推断、模型起草、数据库注释）、verified 有确证
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（外键约束；数据剖析核实了覆盖率和父键唯一的关系也是，见 profile_relation_holds）、confirmed 人工确认、
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rejected 人工驳回。SQL 检查只在依据全是 confirmed、verified
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时报错误级（data/sqlcheck.py），依据里有 proposed 就降为提示；给模型看时 proposed 的项标「推断，未确认」；
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rejected 的项留着（防止下次起草又提出来），但模型和检查都看不到。
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本模块分几块：存取（带乐观锁）、结构校验、合并与审阅、对话提案、起草、渲染、关系图、使用次数、冻结。存取
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以外的函数尽量是纯函数，接口层、db_schema 工具、助手挑表（api/copilot_context.py）、数据剖析
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（data/catalog_profile.py）和 SQL 检查（data/sqlcheck.py）共用；几处两边都要用的判断也放在这里只写一份：
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表名的匹配（resolve_table_name，按 name_key）、名字切词（name_words）、日期列的判定（is_date_column）。
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"""
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from __future__ import annotations
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import asyncio
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import copy
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import hashlib
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import json
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import re
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from collections import Counter
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from collections.abc import Callable, Iterable, Mapping
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from dataclasses import dataclass, field
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from datetime import datetime, timezone
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from typing import Any
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from sqlalchemy import select, update
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from sqlalchemy.exc import IntegrityError
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.data.names import name_key
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from app.db.models import Artifact, CatalogNote, DataSource, Run
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# ==========================================================================
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# 取值
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# ==========================================================================
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#: 项的来源
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ITEM_SOURCES = ("comment", "fk", "name", "profile", "llm", "human")
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#: 项的状态
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ITEM_STATUSES = ("proposed", "verified", "confirmed", "rejected")
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#: 表类型
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TABLE_KINDS = ("fact", "dimension", "snapshot", "log", "config")
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#: 列的度量类型：flow 流量（可跨期加总）、stock 存量（时点值，不能跨期加总）、ratio 比率、
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#: identifier 标识、status 状态、attribute 属性
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COLUMN_MEASURES = ("flow", "stock", "ratio", "identifier", "status", "attribute")
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#: 关系的基数（从本表看过去）
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CARDINALITIES = ("many_to_one", "one_to_one", "one_to_many")
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#: 表级的项，按渲染顺序
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TABLE_FIELDS = ("label", "description", "grain", "keys", "kind", "business_date", "valid_filter", "dedup")
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#: 列级的项，按渲染顺序
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COLUMN_FIELDS = ("label", "meaning", "unit", "measure", "codes")
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#: 字段的中文叫法：校验报错、审阅接口的说明都用它，不在句子里裸写字段名
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TABLE_FIELD_LABEL = {
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"label": "中文名", "description": "说明", "grain": "粒度", "keys": "业务主键", "kind": "表类型",
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"business_date": "业务日期", "valid_filter": "有效记录条件", "dedup": "去重规则",
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}
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COLUMN_FIELD_LABEL = {"label": "中文名", "meaning": "含义", "unit": "单位", "measure": "度量类型", "codes": "码值"}
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#: 各来源起草出来的项的初始状态：外键约束是数据库强制的，算有确证；人工填写即确认；其余都是推断
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_INITIAL_STATUS = {"fk": "verified", "human": "confirmed"}
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_ITEM_KEYS = frozenset({"value", "source", "status", "note", "reason", "updated_at"})
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#: 码值项另有一个「已列全」标记（complete: true）：码值表列出了这一列的全部取值。只有人工明确确认、或者数据剖析
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#: 没截断地看完了全表取值时才有；没有它的码值表只是「已知的一部分」，SQL 检查不能拿它判断某个值「不在码值表里」
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_CODES_ITEM_KEYS = _ITEM_KEYS | {"complete"}
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_RELATION_KEYS = frozenset({"id", "columns", "to_table", "to_columns", "cardinality", "coverage", "source",
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"status", "note", "reason", "updated_at", "cardinality_checked"})
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_BUSINESS_DATE_KEYS = frozenset({"column", "rule", "timezone"})
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#: 文本项的长度上限。目录是给模型和人读的短说明，长篇大论放口径卡或知识库
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_TEXT_MAX = 500
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_LONG_TEXT_MAX = 2000
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#: 确认时的依据（项上的 reason）的长度上限：同文本项
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REASON_MAX = _TEXT_MAX
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def now_iso() -> str:
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"""项的 updated_at 用的时间戳（UTC，ISO 8601）。"""
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return datetime.now(timezone.utc).isoformat(timespec="seconds")
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def initial_status(source: str) -> str:
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"""某个来源起草出来的项的初始状态。"""
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return _INITIAL_STATUS.get(source, "proposed")
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#: 数据剖析把关系升为有确证的抽样覆盖率下限（data/catalog_profile.py 判定，撤销审阅时按它判回剖析的结论）
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PROFILE_VERIFY_COVERAGE = 0.95
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def profile_relation_holds(rel: Mapping[str, Any]) -> bool:
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"""一条数据剖析得出的关系站不站得住：抽样覆盖率不低于 PROFILE_VERIFY_COVERAGE，而且被指向列核实唯一。
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剖析只在被指向列核实唯一时才写基数（多对一或一对一），所以「基数有值」就是「父键唯一」。结论全在关系
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自己的字段里，撤销审阅时照原样判得回来，不必另存一份「审阅前的状态」。
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"""
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coverage = rel.get("coverage")
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return (rel.get("source") == "profile" and isinstance(coverage, (int, float)) and not isinstance(coverage, bool)
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and coverage >= PROFILE_VERIFY_COVERAGE and rel.get("cardinality") in ("many_to_one", "one_to_one"))
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def unreviewed_status(item: Mapping[str, Any]) -> str:
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"""撤销审阅后回到的状态：来源的初始状态。
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数据剖析是例外：它的状态随数据而定（覆盖率够、父键唯一的关系是有确证，其余是推断），不能一律回到
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initial_status("profile") 的推断——那样人工确认过再撤销，有确证就无故丢了，要等下一次剖析才回来。
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剖析提的码值候选、业务日期永远是推断。
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"""
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if item.get("source") == "profile" and "to_table" in item:
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return "verified" if profile_relation_holds(item) else "proposed"
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return initial_status(item.get("source"))
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def make_item(value: Any, source: str, status: str | None = None, *, note: str | None = None,
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at: str | None = None, complete: bool = False, reason: str | None = None) -> dict[str, Any]:
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"""构造一个项。status 不给时按来源取初始状态（initial_status）。complete 只用于码值项（已列出全部取值），
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为假时不写这个键：没有标记和标记为否是一回事，写法统一，冻结进快照的哈希才稳定。reason 是确认时的依据
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（apply_patch 写），没有时不写这个键。"""
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out: dict[str, Any] = {"value": value, "source": source, "status": status or initial_status(source)}
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if note:
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out["note"] = note
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if reason:
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out["reason"] = reason
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if at:
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out["updated_at"] = at
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if complete:
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out["complete"] = True
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return out
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def clip_reason(reason: Any) -> str | None:
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"""提案里的依据 → 存进项里的 reason：去掉首尾空白，超过 REASON_MAX 字截成 REASON_MAX - 1 字加「…」。没有（空的、
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不是文字）为 None。预览（plan_patch）和保存（apply_patch）用的是同一句。"""
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text = reason.strip() if isinstance(reason, str) else ""
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if not text:
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return None
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return text if len(text) <= REASON_MAX else text[:REASON_MAX - 1] + "…"
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def codes_complete(item: Any) -> bool:
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"""码值项是不是标了「已列全」。"""
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return isinstance(item, Mapping) and item.get("complete") is True
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# ==========================================================================
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# 异常
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# ==========================================================================
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class CatalogConflict(Exception):
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"""写入时带的版本和库里的不一致：别人刚改过这张表。message 给人看。"""
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def __init__(self, table: str, current: int) -> None:
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super().__init__(f"表「{table}」的数据目录刚被修改过，请重新载入后再提交")
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self.table = table
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self.current = current
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class CatalogInvalid(ValueError):
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"""notes 结构不合规。problems 是逐条的中文说明。"""
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def __init__(self, problems: list[str]) -> None:
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super().__init__("；".join(problems[:5]) + ("…" if len(problems) > 5 else ""))
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self.problems = problems
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# ==========================================================================
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# 结构校验
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# ==========================================================================
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def _text_ok(value: Any, limit: int = _TEXT_MAX) -> bool:
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return isinstance(value, str) and bool(value.strip()) and len(value) <= limit
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def _str_list_ok(value: Any) -> bool:
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return isinstance(value, list) and bool(value) and all(isinstance(v, str) and v.strip() for v in value)
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def _business_date_ok(value: Any) -> bool:
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if not isinstance(value, dict) or set(value) - _BUSINESS_DATE_KEYS:
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return False
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if not _text_ok(value.get("column")):
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return False
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return all(isinstance(value[k], str) for k in ("rule", "timezone") if k in value)
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def _codes_ok(value: Any) -> bool:
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"""码值对照：{码值: 含义}，都是文字。含义可以是空串——数据剖析只知道列里出现过哪些取值，含义要等人填；
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以前要求含义非空，剖析得到的码值候选就写不进来。"""
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return (isinstance(value, dict) and bool(value)
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and all(isinstance(k, str) and isinstance(v, str) for k, v in value.items()))
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#: 表类型、度量类型在界面上的叫法（和 frontend/src/lib/terms.ts 的 CATALOG_KIND_LABEL / CATALOG_MEASURE_LABEL 一致）。
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#: 校验报错会原样上界面（接口 422 的 detail），按它写：以前写「事实表」「流量」，界面上却是「明细表」「可累加」。
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#: 给模型看的渲染另用 KIND_LABEL / MEASURE_LABEL，保留「事实表」「流量，可跨期加总」——模型认得这套说法
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UI_KIND_LABEL = {"fact": "明细表", "dimension": "维度表", "snapshot": "快照表", "log": "日志表", "config": "配置表"}
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UI_MEASURE_LABEL = {"flow": "可累加", "stock": "存量", "ratio": "比率", "identifier": "标识", "status": "状态",
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"attribute": "属性"}
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def _one_of(labels: Iterable[str]) -> str:
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names = list(labels)
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return f"应为{'、'.join(names[:-1])}或{names[-1]}之一"
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#: 每个字段的值怎么查、不合规时怎么说
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_TABLE_VALUE_RULES: dict[str, tuple[Any, str]] = {
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"label": (_text_ok, "应为不超过 500 字的文字"),
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"description": (lambda v: _text_ok(v, _LONG_TEXT_MAX), "应为不超过 2000 字的文字"),
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"grain": (_text_ok, "应为不超过 500 字的文字"),
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"keys": (_str_list_ok, "应为列名的列表"),
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"kind": (lambda v: v in TABLE_KINDS, _one_of(UI_KIND_LABEL[k] for k in TABLE_KINDS)),
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"business_date": (_business_date_ok, "应写明日期列，规则和时区写成文字"),
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"valid_filter": (_text_ok, "应为不超过 500 字的条件"),
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"dedup": (_text_ok, "应为不超过 500 字的文字"),
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}
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_COLUMN_VALUE_RULES: dict[str, tuple[Any, str]] = {
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"label": (_text_ok, "应为不超过 500 字的文字"),
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"meaning": (_text_ok, "应为不超过 500 字的文字"),
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"unit": (lambda v: _text_ok(v, 50), "应为不超过 50 字的文字"),
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"measure": (lambda v: v in COLUMN_MEASURES, _one_of(UI_MEASURE_LABEL[k] for k in COLUMN_MEASURES)),
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"codes": (_codes_ok, "应为码值到含义的对照，含义写成文字"),
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}
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def _item_problems(where: str, item: Any, rule: tuple[Any, str], *,
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keys: frozenset[str] = _ITEM_KEYS) -> list[str]:
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if not isinstance(item, dict) or not {"value", "source", "status"} <= set(item):
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return [f"{where}不是有效的目录项：需要值、来源和状态"]
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problems: list[str] = []
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if extra := sorted(set(item) - keys):
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problems.append(f"{where}含有不认识的字段「{'、'.join(extra)}」")
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if "complete" in item and not isinstance(item["complete"], bool):
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problems.append(f"{where}是否已列出全部取值应为是或否")
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if item["source"] not in ITEM_SOURCES:
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problems.append(f"{where}的来源「{item['source']}」不在可选值内")
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if item["status"] not in ITEM_STATUSES:
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problems.append(f"{where}的状态「{item['status']}」不在可选值内")
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check, hint = rule
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if not check(item["value"]):
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problems.append(f"{where}{hint}")
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if "note" in item and not isinstance(item["note"], str):
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problems.append(f"{where}的备注应为文字")
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if "reason" in item and not _reason_ok(item["reason"]):
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problems.append(f"{where}{_REASON_HINT}")
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if "updated_at" in item and not isinstance(item["updated_at"], str):
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problems.append(f"{where}的修改时间应为文字")
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return problems
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def _reason_ok(value: Any) -> bool:
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return isinstance(value, str) and len(value) <= REASON_MAX
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_REASON_HINT = f"确认时的依据应为不超过 {REASON_MAX} 字的文字"
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def _relation_problems(rel: Any, seen: set[str]) -> list[str]:
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if not isinstance(rel, dict):
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return ["关联关系应为对象"]
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rid = rel.get("id")
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# 带编号时后面空一格再接说明：「关联关系 r1a2 的目标字段…」。两端的叫法和界面一致：本表字段 → 目标表的目标字段
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where = f"关联关系 {rid} " if isinstance(rid, str) and rid else "关联关系"
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problems: list[str] = []
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if not (isinstance(rid, str) and rid.strip()) or "." in str(rid):
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problems.append(f"{where}缺少编号，或编号里含有句点")
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elif rid in seen:
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problems.append(f"{where}的编号重复")
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else:
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seen.add(rid)
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if extra := sorted(set(rel) - _RELATION_KEYS):
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problems.append(f"{where}含有不认识的字段「{'、'.join(extra)}」")
|
||
cols, to_cols = rel.get("columns"), rel.get("to_columns")
|
||
if not _str_list_ok(cols):
|
||
problems.append(f"{where}的本表字段应为列名的列表")
|
||
if not _text_ok(rel.get("to_table"), 255):
|
||
problems.append(f"{where}缺少目标表")
|
||
if not _str_list_ok(to_cols):
|
||
problems.append(f"{where}的目标字段应为列名的列表")
|
||
elif _str_list_ok(cols) and len(cols) != len(to_cols):
|
||
problems.append(f"{where}两端的字段数不一致")
|
||
if rel.get("cardinality") not in (*CARDINALITIES, None):
|
||
problems.append(f"{where}的基数「{rel.get('cardinality')}」不在可选值内")
|
||
coverage = rel.get("coverage")
|
||
if coverage is not None and not (isinstance(coverage, (int, float)) and not isinstance(coverage, bool)
|
||
and 0 <= coverage <= 1):
|
||
problems.append(f"{where}的覆盖率应为 0 到 1 之间的数")
|
||
if rel.get("source") not in ITEM_SOURCES:
|
||
problems.append(f"{where}的来源「{rel.get('source')}」不在可选值内")
|
||
if rel.get("status") not in ITEM_STATUSES:
|
||
problems.append(f"{where}的状态「{rel.get('status')}」不在可选值内")
|
||
if "note" in rel and not isinstance(rel["note"], str):
|
||
problems.append(f"{where}的备注应为文字")
|
||
if "reason" in rel and not _reason_ok(rel["reason"]):
|
||
problems.append(f"{where}{_REASON_HINT}")
|
||
if "cardinality_checked" in rel and not isinstance(rel["cardinality_checked"], bool):
|
||
problems.append(f"{where}的「基数已用数据核实」应为是或否")
|
||
if "updated_at" in rel and not isinstance(rel["updated_at"], str):
|
||
problems.append(f"{where}的修改时间应为文字")
|
||
return problems
|
||
|
||
|
||
def validate_notes(notes: Any) -> list[str]:
|
||
"""notes 的结构问题，逐条中文说明；合规时返回空列表。
|
||
|
||
只认固定的一组字段：目录只记数据事实，不认识的字段（比如想塞一个计算公式进来）一律拒收。
|
||
列名不核对是否存在于当前表结构：表结构会变，目录里先写着的列等结构同步后自然对上。
|
||
"""
|
||
if not isinstance(notes, dict):
|
||
return ["数据目录应为对象"]
|
||
problems: list[str] = []
|
||
if extra := sorted(set(notes) - set(TABLE_FIELDS) - {"columns", "relations"}):
|
||
problems.append(f"数据目录含有不认识的字段「{'、'.join(extra)}」")
|
||
for field_name in TABLE_FIELDS:
|
||
if field_name in notes:
|
||
problems += _item_problems(f"表的{TABLE_FIELD_LABEL[field_name]}", notes[field_name],
|
||
_TABLE_VALUE_RULES[field_name])
|
||
columns = notes.get("columns", {})
|
||
if not isinstance(columns, dict):
|
||
problems.append("列的目录应为以列名为键的对象")
|
||
columns = {}
|
||
for col, items in columns.items():
|
||
if not isinstance(items, dict):
|
||
problems.append(f"列 {col} 的目录应为对象")
|
||
continue
|
||
if extra := sorted(set(items) - set(COLUMN_FIELDS)):
|
||
problems.append(f"列 {col} 含有不认识的字段「{'、'.join(extra)}」")
|
||
for field_name in COLUMN_FIELDS:
|
||
if field_name in items:
|
||
problems += _item_problems(f"列 {col} 的{COLUMN_FIELD_LABEL[field_name]}", items[field_name],
|
||
_COLUMN_VALUE_RULES[field_name],
|
||
keys=_CODES_ITEM_KEYS if field_name == "codes" else _ITEM_KEYS)
|
||
relations = notes.get("relations", [])
|
||
if not isinstance(relations, list):
|
||
problems.append("关联关系应为列表")
|
||
relations = []
|
||
seen: set[str] = set()
|
||
for rel in relations:
|
||
problems += _relation_problems(rel, seen)
|
||
return problems
|
||
|
||
|
||
def _canonical(notes: Any) -> str:
|
||
return json.dumps(notes, ensure_ascii=False, sort_keys=True, separators=(",", ":"), default=str)
|
||
|
||
|
||
def same_notes(a: Any, b: Any) -> bool:
|
||
"""两份 notes 内容是否相同（不计键的顺序）。"""
|
||
return _canonical(a) == _canonical(b)
|
||
|
||
|
||
# ==========================================================================
|
||
# 存取
|
||
# ==========================================================================
|
||
|
||
|
||
@dataclass(frozen=True)
|
||
class CatalogEntry:
|
||
"""一张表的目录，连同版本和最近一次写入的署名、时间。"""
|
||
|
||
table: str
|
||
notes: dict[str, Any]
|
||
version: int
|
||
updated_by: str | None = None
|
||
updated_at: datetime | None = None
|
||
|
||
|
||
def _entry(row: CatalogNote) -> CatalogEntry:
|
||
return CatalogEntry(table=row.table_name, notes=copy.deepcopy(row.notes or {}), version=int(row.version or 0),
|
||
updated_by=row.updated_by, updated_at=row.updated_at)
|
||
|
||
|
||
async def _row(session: AsyncSession, source_id: str, table: str) -> CatalogNote | None:
|
||
return (await session.execute(
|
||
select(CatalogNote).where(CatalogNote.source_id == source_id, CatalogNote.table_name == table)
|
||
)).scalar_one_or_none()
|
||
|
||
|
||
async def read_entry(session: AsyncSession, source_id: str, table: str) -> CatalogEntry | None:
|
||
"""一张表的目录；还没有时返回 None（版本按 0 算）。"""
|
||
row = await _row(session, source_id, table)
|
||
return _entry(row) if row is not None else None
|
||
|
||
|
||
async def read_catalog(session: AsyncSession, source_id: str) -> dict[str, CatalogEntry]:
|
||
"""这个数据源所有有目录的表：{表名: CatalogEntry}。"""
|
||
rows = (await session.execute(select(CatalogNote).where(CatalogNote.source_id == source_id))).scalars()
|
||
return {row.table_name: _entry(row) for row in rows}
|
||
|
||
|
||
async def write_entry(session: AsyncSession, source_id: str, table: str, notes: dict[str, Any], *,
|
||
if_version: int, actor: str | None) -> CatalogEntry:
|
||
"""整份写入一张表的目录（乐观锁），提交事务，返回写入后的目录。
|
||
|
||
- if_version 是写入方读到的版本，还没有目录时传 0；和库里的不一致抛 CatalogConflict，什么都不写。
|
||
比对和写入在同一条 UPDATE … WHERE version = ? 里完成：两个请求同时读到第 3 版，只有一个写得进去。
|
||
- 内容和库里的完全相同时不写、不升版本：冻结进表结构快照的是「版本 + 内容」，空写一次也升版本，
|
||
快照哈希就会无故变化（目录不变则快照不变）。
|
||
- notes 先过 validate_notes，不合规抛 CatalogInvalid。
|
||
|
||
这里不改写项的来源和状态：人工编辑记成 human / confirmed 的规则在 apply_human_edit 里，起草的
|
||
合并规则在 merge_notes 里，调用方先算好再写。
|
||
"""
|
||
if problems := validate_notes(notes):
|
||
raise CatalogInvalid(problems)
|
||
stored = copy.deepcopy(notes)
|
||
row = await _row(session, source_id, table)
|
||
current = int(row.version or 0) if row is not None else 0
|
||
if if_version != current:
|
||
raise CatalogConflict(table, current)
|
||
if row is not None and same_notes(row.notes or {}, stored):
|
||
return _entry(row)
|
||
if row is None:
|
||
row = CatalogNote(source_id=source_id, table_name=table, notes=stored, version=1, updated_by=actor)
|
||
session.add(row)
|
||
try:
|
||
await session.commit()
|
||
except IntegrityError as e:
|
||
# 唯一约束 (source_id, table_name)：另一个请求抢先建了这张表的目录
|
||
await session.rollback()
|
||
raise CatalogConflict(table, 1) from e
|
||
return _entry(row)
|
||
result = await session.execute(
|
||
update(CatalogNote)
|
||
.where(CatalogNote.id == row.id, CatalogNote.version == current)
|
||
.values(notes=stored, version=current + 1, updated_by=actor, updated_at=datetime.now(timezone.utc))
|
||
.execution_options(synchronize_session=False)
|
||
)
|
||
if result.rowcount != 1:
|
||
await session.rollback()
|
||
raise CatalogConflict(table, current + 1)
|
||
await session.commit()
|
||
await session.refresh(row)
|
||
return _entry(row)
|
||
|
||
|
||
def relation_id(table: str, columns: list[str], to_table: str, to_columns: list[str]) -> str:
|
||
"""关系的稳定编号：由两端的表和列算出来，同一条关系不论哪个来源、第几次起草都得到同一个编号。
|
||
|
||
列按 (本表列, 被指向列) 成对排序后再算，复合外键列的书写顺序不影响编号；不区分大小写（外键约束
|
||
和命名推断拿到的大小写可能不同）。编号里不含句点：审阅接口的路径按句点切分（relations.<编号>）。
|
||
"""
|
||
pairs = sorted(zip((c.lower() for c in columns), (c.lower() for c in to_columns)))
|
||
raw = json.dumps([table.lower(), to_table.lower(), pairs], ensure_ascii=False, separators=(",", ":"))
|
||
return "r" + hashlib.sha256(raw.encode()).hexdigest()[:12]
|
||
|
||
|
||
# ==========================================================================
|
||
# 槽位：把 notes 摊平成「一项一个键」，合并、审阅、人工编辑都在这上面做
|
||
# ==========================================================================
|
||
|
||
#: 槽位键：("t", 字段) 表级项、("c", 列名, 字段) 列级项、("r", 关系编号) 关系
|
||
Slot = tuple[str, ...]
|
||
|
||
#: 关系里决定「是不是同一条、值有没有变」的字段（来源、状态、备注、时间之外的部分）
|
||
_RELATION_VALUE_KEYS = ("columns", "to_table", "to_columns", "cardinality", "coverage")
|
||
|
||
|
||
def _slots(notes: Mapping[str, Any] | None) -> dict[Slot, dict[str, Any]]:
|
||
"""notes → {槽位: 项}（深拷贝，不改入参）。顺序：表级项、列级项、关系，各自保持原来的顺序。"""
|
||
out: dict[Slot, dict[str, Any]] = {}
|
||
notes = notes or {}
|
||
for name in TABLE_FIELDS:
|
||
if isinstance(notes.get(name), dict):
|
||
out[("t", name)] = copy.deepcopy(notes[name])
|
||
columns = notes.get("columns") if isinstance(notes.get("columns"), dict) else {}
|
||
for col, items in columns.items():
|
||
for name in COLUMN_FIELDS:
|
||
if isinstance(items, dict) and isinstance(items.get(name), dict):
|
||
out[("c", col, name)] = copy.deepcopy(items[name])
|
||
relations = notes.get("relations") if isinstance(notes.get("relations"), list) else []
|
||
for rel in relations:
|
||
if isinstance(rel, dict) and rel.get("id"):
|
||
out[("r", str(rel["id"]))] = copy.deepcopy(rel)
|
||
return out
|
||
|
||
|
||
def _assemble(slots: Mapping[Slot, dict[str, Any]]) -> dict[str, Any]:
|
||
"""槽位 → notes。空的列、空的关系列表不留：目录内容相同则序列化结果相同（冻结的哈希靠它）。"""
|
||
notes: dict[str, Any] = {}
|
||
columns: dict[str, dict[str, Any]] = {}
|
||
relations: list[dict[str, Any]] = []
|
||
for key, item in slots.items():
|
||
if key[0] == "t":
|
||
notes[key[1]] = item
|
||
elif key[0] == "c":
|
||
columns.setdefault(key[1], {})[key[2]] = item
|
||
else:
|
||
relations.append(item)
|
||
if columns:
|
||
notes["columns"] = columns
|
||
if relations:
|
||
notes["relations"] = relations
|
||
return notes
|
||
|
||
|
||
def _value_of(key: Slot, item: Mapping[str, Any]) -> Any:
|
||
"""一项的「值」：比较人工有没有改动时只看它。"""
|
||
if key[0] == "r":
|
||
return {k: item.get(k) for k in _RELATION_VALUE_KEYS}
|
||
return item.get("value")
|
||
|
||
|
||
def _edit_value(key: Slot, item: Mapping[str, Any]) -> Any:
|
||
"""人工编辑时比较「改没改」看的部分：值，码值另加「已列全」标记——只勾上这个标记也是人工改动（记为人工填写、
|
||
已确认），检查据此认定码值表是完整的。"""
|
||
if key[0] == "c" and key[2] == "codes":
|
||
return item.get("value"), codes_complete(item)
|
||
return _value_of(key, item)
|
||
|
||
|
||
def _core(item: Mapping[str, Any]) -> dict[str, Any]:
|
||
"""去掉修改时间的项：判断起草结果和已有的是不是一回事。"""
|
||
return {k: v for k, v in item.items() if k != "updated_at"}
|
||
|
||
|
||
#: 数据剖析写的备注都以「数据剖析：」开头（data/catalog_profile.py 的 NOTE_PREFIX 就是它）。说明里不写日期：以前写的是
|
||
#: UTC 日期，和界面上按本地时间显示的修改时间对不上；什么时候剖析的，看这一项的 updated_at
|
||
PROFILE_NOTE_PREFIX = "数据剖析："
|
||
#: 升级前的剖析备注带着当天的 UTC 日期：「数据剖析（2026-10-01）：」。旧数据里还有，照样认
|
||
_PROFILE_NOTE_DAY = re.compile(r"^数据剖析（\d{4}-\d{2}-\d{2}）(?=：)")
|
||
|
||
|
||
def is_profile_note(note: Any) -> bool:
|
||
"""这段备注是不是数据剖析写的（新写法「数据剖析：」，或者升级前带日期的「数据剖析（日期）：」）。"""
|
||
return isinstance(note, str) and (note.startswith(PROFILE_NOTE_PREFIX) or bool(_PROFILE_NOTE_DAY.match(note)))
|
||
|
||
|
||
def _undated(note: str) -> str:
|
||
"""剖析备注去掉升级前写的日期：「数据剖析（2026-10-01）：…」→「数据剖析：…」。别的备注原样返回。"""
|
||
return _PROFILE_NOTE_DAY.sub("数据剖析", note, count=1)
|
||
|
||
|
||
def same_profile_note(a: Any, b: Any) -> bool:
|
||
"""两段备注是否相同；数据剖析写的备注只差开头的日期（升级前每次都写当天的日期），或者一段带日期、一段是不带
|
||
日期的新写法，也算相同。
|
||
|
||
隔天重跑、数据没变，结论一字不差、只有日期变了：要是这也算「变了」，目录就升一个版本，发布时记下的目录版本
|
||
对不上，之后每次正式运行都提醒「目录有变化」。升级后第一次重新剖析也是一样：结论没变，只是新写法不带日期。
|
||
"""
|
||
if a == b:
|
||
return True
|
||
if not (is_profile_note(a) and is_profile_note(b)):
|
||
return False
|
||
return _undated(a) == _undated(b)
|
||
|
||
|
||
def _same_core(a: Mapping[str, Any], b: Mapping[str, Any]) -> bool:
|
||
"""两项除修改时间外相同（剖析备注里的日期不算，same_profile_note）。"""
|
||
ca, cb = _core(a), _core(b)
|
||
return same_profile_note(ca.pop("note", None), cb.pop("note", None)) and ca == cb
|
||
|
||
|
||
def visible_notes(notes: Mapping[str, Any] | None) -> dict[str, Any]:
|
||
"""去掉被驳回的项和关系。给模型看、冻结进证据、SQL 检查（data/sqlcheck.py）都只用这一份。"""
|
||
return _assemble({k: v for k, v in _slots(notes).items() if v.get("status") != "rejected"})
|
||
|
||
|
||
def status_counts(notes: Mapping[str, Any] | None) -> dict[str, int]:
|
||
"""各状态的项数（表级项、列级项、关系都算），四种状态都有键。"""
|
||
counts = dict.fromkeys(ITEM_STATUSES, 0)
|
||
for item in _slots(notes).values():
|
||
if item.get("status") in counts:
|
||
counts[item["status"]] += 1
|
||
return counts
|
||
|
||
|
||
# ==========================================================================
|
||
# 合并：起草结果并入已有目录
|
||
# ==========================================================================
|
||
|
||
#: 来源的可信程度。不同来源对同一个槽位各有说法时，高的留下；同级（模型起草和命名推断）先到先得
|
||
_SOURCE_RANK = {"human": 5, "fk": 4, "profile": 3, "comment": 2, "llm": 1, "name": 1}
|
||
#: 人工定过的状态：起草永远不碰
|
||
_LOCKED = ("confirmed", "rejected")
|
||
|
||
|
||
@dataclass(frozen=True)
|
||
class MergeStats:
|
||
"""一次合并新增、更新、删除了几项。"""
|
||
|
||
added: int = 0
|
||
updated: int = 0
|
||
removed: int = 0
|
||
|
||
def __add__(self, other: "MergeStats") -> "MergeStats":
|
||
return MergeStats(self.added + other.added, self.updated + other.updated, self.removed + other.removed)
|
||
|
||
|
||
def _about_gone_columns(key: Slot, item: Mapping[str, Any], columns: set[str]) -> bool:
|
||
"""这一项说的列已经不在表结构里了：列级的项看列名，业务主键、业务日期看它们指着的列。"""
|
||
if key[0] == "c":
|
||
return key[1] not in columns
|
||
value = item.get("value")
|
||
if key == ("t", "keys") and isinstance(value, list):
|
||
return any(str(col) not in columns for col in value)
|
||
if key == ("t", "business_date") and isinstance(value, Mapping) and value.get("column") is not None:
|
||
return str(value["column"]) not in columns
|
||
return False
|
||
|
||
|
||
def merge_notes(existing: Mapping[str, Any] | None, draft: Mapping[str, Any] | None, *,
|
||
covered: Iterable[str] = (), at: str | None = None,
|
||
columns: Iterable[str] | None = None) -> tuple[dict[str, Any], MergeStats]:
|
||
"""把起草结果并入已有目录，返回 (新目录, 计数)。不改入参。
|
||
|
||
规则（逐个槽位）：
|
||
- 已有项是 confirmed 或 rejected：不动（确认时的依据 reason 跟着留着）。驳回的留着，同一项下次起草就不会再冒出来。
|
||
- 起草结果里没有这一项：
|
||
- 模型起草的项（llm）留着。模型这次留空、给的值没通过校验（_from_model 里就丢掉了），都不能把以前起草好的
|
||
删掉——实测整库重跑一次，模型这次没给的几百项全被删掉，有的表覆盖率从八成多掉到五成。只有这一轮完整起草过
|
||
（covered 含 llm）、而它说的列已经不在表结构里（columns：表结构里的列名；业务主键、业务日期指着的列也算）
|
||
才删；不知道表结构（columns 为 None）时不删。
|
||
- 别的来源：来源在 covered 里（这一轮完整算过这个来源）就删掉，否则留着。外键约束被删掉以后，原来那条「有确证」
|
||
的关系不能还挂着；库注释改了，旧的那条注释也不能还挂着。
|
||
- 同一来源：值或状态有变化就更新。数据剖析写的备注只是日期变了不算变化（same_profile_note），保留旧的项。
|
||
- 不同来源：来源更可信的（_SOURCE_RANK）顶掉不如它的，反过来不行。
|
||
|
||
新增和更新的项盖上 at（缺省为当前时间）作为 updated_at；内容没变的项保持原样，修改时间也不动。
|
||
removed 只数真删掉的项。
|
||
"""
|
||
at = at or now_iso()
|
||
covered = set(covered)
|
||
known = {str(c) for c in columns} if columns is not None else None
|
||
old, new = _slots(existing), _slots(draft)
|
||
out: dict[Slot, dict[str, Any]] = {}
|
||
added = updated = removed = 0
|
||
for key, item in old.items():
|
||
cand = new.get(key)
|
||
if item.get("status") in _LOCKED:
|
||
out[key] = item
|
||
elif cand is None:
|
||
if item.get("source") == "llm":
|
||
gone = "llm" in covered and known is not None and _about_gone_columns(key, item, known)
|
||
else:
|
||
gone = item.get("source") in covered
|
||
if gone:
|
||
removed += 1
|
||
else:
|
||
out[key] = item
|
||
elif (cand.get("source") == item.get("source")
|
||
or _SOURCE_RANK.get(cand.get("source"), 0) > _SOURCE_RANK.get(item.get("source"), 0)):
|
||
if not _same_core(cand, item):
|
||
out[key] = {**_core(cand), "updated_at": at}
|
||
updated += 1
|
||
else:
|
||
out[key] = item
|
||
else:
|
||
out[key] = item
|
||
for key, cand in new.items():
|
||
if key not in old:
|
||
out[key] = {**_core(cand), "updated_at": at}
|
||
added += 1
|
||
return _assemble(out), MergeStats(added, updated, removed)
|
||
|
||
|
||
# ==========================================================================
|
||
# 单项审阅与人工编辑
|
||
# ==========================================================================
|
||
|
||
#: 单项审阅的操作：confirm 确认、reject 驳回、reset 撤销审阅（回到来源的初始状态；人工填写的项直接删掉）
|
||
REVIEW_ACTIONS = ("confirm", "reject", "reset")
|
||
|
||
|
||
class CatalogPathError(ValueError):
|
||
"""审阅的路径或操作不对：路径写错、项不存在、操作不认识。message 给人看。"""
|
||
|
||
|
||
def parse_path(path: str) -> Slot:
|
||
"""审阅路径 → 槽位。
|
||
|
||
写法：表级项直接写字段名（grain）；列级项 columns.<列名>.<字段>（列名里可以有句点，按最后一个句点切出
|
||
字段）；关系 relations.<编号>。
|
||
"""
|
||
path = (path or "").strip()
|
||
if path in TABLE_FIELDS:
|
||
return ("t", path)
|
||
if path.startswith("columns."):
|
||
col, _, name = path[len("columns."):].rpartition(".")
|
||
if col and name in COLUMN_FIELDS:
|
||
return ("c", col, name)
|
||
if path.startswith("relations.") and path[len("relations."):]:
|
||
return ("r", path[len("relations."):])
|
||
raise CatalogPathError("无法识别要审阅的项，请重新载入后再试")
|
||
|
||
|
||
def describe_slot(key: Slot) -> str:
|
||
"""槽位的中文说法：「表的粒度」「列 amount 的度量类型」「关联关系 r1a2b3」。"""
|
||
if key[0] == "t":
|
||
return f"表的{TABLE_FIELD_LABEL.get(key[1], key[1])}"
|
||
if key[0] == "c":
|
||
return f"列 {key[1]} 的{COLUMN_FIELD_LABEL.get(key[2], key[2])}"
|
||
return f"关联关系 {key[1]}"
|
||
|
||
|
||
def review_item(notes: Mapping[str, Any] | None, path: str, action: str, *, at: str | None = None) -> dict[str, Any]:
|
||
"""对一项做审阅，返回新目录（不改入参）。路径不对、项不存在、操作不认识都抛 CatalogPathError。
|
||
|
||
确认时的依据（reason）：确认、驳回不带依据，原有的留着；撤销审阅回到推断，去掉——推断项上挂着「使用者说：……」，
|
||
看起来像使用者确认过它。"""
|
||
if action not in REVIEW_ACTIONS:
|
||
raise CatalogPathError("不支持这种审阅操作，只能确认、驳回或撤销审阅")
|
||
key = parse_path(path)
|
||
slots = _slots(notes)
|
||
item = slots.get(key)
|
||
if item is None:
|
||
raise CatalogPathError(f"找不到{describe_slot(key)}，可能已被修改，请重新载入")
|
||
if action == "reset" and item.get("source") == "human":
|
||
# 人工填写的项没有「推断时的样子」可回：撤销就是删掉，下次起草可以重新提出
|
||
del slots[key]
|
||
return _assemble(slots)
|
||
item["status"] = {"confirm": "confirmed", "reject": "rejected"}.get(action) or unreviewed_status(item)
|
||
if action == "reset":
|
||
item.pop("reason", None)
|
||
item["updated_at"] = at or now_iso()
|
||
return _assemble(slots)
|
||
|
||
|
||
def _normalize_submitted(submitted: Mapping[str, Any], table: str) -> dict[str, Any]:
|
||
"""人工提交的目录：补上没写的来源和状态（下面会按规则改写），关系编号按两端重算。"""
|
||
out = copy.deepcopy(dict(submitted))
|
||
|
||
def fill(item: Any) -> None:
|
||
if isinstance(item, dict) and "value" in item:
|
||
item.setdefault("source", "human")
|
||
item.setdefault("status", "confirmed")
|
||
if item.get("complete") is False:
|
||
del item["complete"] # 「没列全」就是没有这个标记，写法统一（make_item）
|
||
|
||
for name in TABLE_FIELDS:
|
||
fill(out.get(name))
|
||
columns = out.get("columns") if isinstance(out.get("columns"), dict) else {}
|
||
for items in columns.values():
|
||
for name in COLUMN_FIELDS:
|
||
fill(items.get(name) if isinstance(items, dict) else None)
|
||
relations = out.get("relations") if isinstance(out.get("relations"), list) else []
|
||
for rel in relations:
|
||
if not isinstance(rel, dict):
|
||
continue
|
||
rel.setdefault("source", "human")
|
||
rel.setdefault("status", "confirmed")
|
||
rel.setdefault("cardinality", None)
|
||
rel.setdefault("coverage", None)
|
||
cols, to_table, to_cols = rel.get("columns"), rel.get("to_table"), rel.get("to_columns")
|
||
if _str_list_ok(cols) and isinstance(to_table, str) and to_table and _str_list_ok(to_cols):
|
||
# 编号由两端决定：改了指向就是另一条关系，沿用旧编号会让「同一条关系同一个编号」失效
|
||
rel["id"] = relation_id(table, cols, to_table, to_cols)
|
||
return out
|
||
|
||
|
||
def apply_human_edit(existing: Mapping[str, Any] | None, submitted: Mapping[str, Any], *, table: str,
|
||
at: str | None = None, inferable: Iterable[str] = ()) -> dict[str, Any]:
|
||
"""人工提交的整份目录 → 要写入的目录（不改入参）。
|
||
|
||
- 值改过的项、新填的项：记为 human / confirmed。提交里写的来源和状态不作数——客户端不能冒充外键约束
|
||
或数据剖析。码值的「已列全」标记跟着值走：只勾上或取消它也算改过（_edit_value）。
|
||
- 值没动的项：保持原来的来源和状态；提交里把状态改成确认、驳回或来源的初始状态的，照改（等同单项审阅）；
|
||
改成别的状态的不认（不能把推断改成「有确证」）。
|
||
- 确认时的依据（reason）只由保存修改提案写（apply_patch），提交里带的不作数：值改过、新填的项去掉（原来的依据说的
|
||
是旧值，界面原样带回来的也不认）；值没动的留着库里的；状态改回来源的初始状态（等同撤销审阅）的去掉。
|
||
- 已有、但提交里没有的表级项、列级项：删掉。
|
||
- 已有、但提交里没有的关联关系：外键约束、命名推断、数据剖析、模型起草来的，转为驳回、保留编号；只有人工
|
||
新建的才真正删掉。删掉的推断关系下次起草会再提出来，关系图（助手挑表、SQL 检查）也会按表结构现推回来，
|
||
照样驱动检查和助手——驳回才留得住。改了两端的关系编号跟着变，旧编号在提交里就「没有了」，同样按这条处理。
|
||
inferable 是表结构能推出来的关系编号（外键约束、命名推断，structure_relation_ids）：人工改过基数的外键关系
|
||
记成了人工填写，删掉照样会被现推回来，也只能驳回。
|
||
- 关系编号按两端重算（_normalize_submitted）。
|
||
- 值改过、新填的文字项看起来像计算公式（「客单价=金额/人数」）就整份不收，和对话提案同一套判断（_formula_like）：
|
||
公式进口径卡。只查改动过的项：库里早就有的含公式的项值没动，照常提交——不放进 validate_notes 也是这个
|
||
道理，否则旧数据会把这张表的任何写入都挡住。
|
||
|
||
结构不合规、有公式都抛 CatalogInvalid。
|
||
"""
|
||
if not isinstance(submitted, Mapping):
|
||
raise CatalogInvalid(["数据目录应为对象"])
|
||
normalized = _normalize_submitted(submitted, table)
|
||
if problems := validate_notes(normalized):
|
||
raise CatalogInvalid(problems)
|
||
at = at or now_iso()
|
||
old, new = _slots(existing), _slots(normalized)
|
||
formulas = [_formula_problem(key) for key, item in new.items()
|
||
if (key not in old or _value_of(key, item) != _value_of(key, old[key]))
|
||
and _formula_like(key, item.get("value"))]
|
||
if formulas:
|
||
raise CatalogInvalid(formulas)
|
||
inferable = set(inferable)
|
||
out: dict[Slot, dict[str, Any]] = {}
|
||
for key, item in new.items():
|
||
prev = old.get(key)
|
||
if prev is None or _edit_value(key, item) != _edit_value(key, prev):
|
||
# 「基数已用数据核实」只由数据剖析写：人工改过的关系记成人工确认，提交里带的这个标记不作数；确认时的依据只由
|
||
# 保存修改提案写，说的是旧值，不留
|
||
fresh = {k: v for k, v in item.items() if k not in ("updated_at", "cardinality_checked", "reason")}
|
||
fresh.update(source="human", status="confirmed", updated_at=at)
|
||
out[key] = fresh
|
||
continue
|
||
kept = dict(prev)
|
||
status = item.get("status")
|
||
if status != prev.get("status") and status in ("confirmed", "rejected", unreviewed_status(prev)):
|
||
kept["status"] = status
|
||
kept["updated_at"] = at
|
||
if status not in ("confirmed", "rejected"):
|
||
kept.pop("reason", None) # 等同撤销审阅：回到推断，确认时的依据不留
|
||
if item.get("note") != prev.get("note"):
|
||
if item.get("note"):
|
||
kept["note"] = item["note"]
|
||
else:
|
||
kept.pop("note", None)
|
||
kept["updated_at"] = at
|
||
out[key] = kept
|
||
for key, prev in old.items():
|
||
if key in new or key[0] != "r":
|
||
continue
|
||
if prev.get("source") == "human" and key[1] not in inferable:
|
||
continue # 人工新建的：真正删掉
|
||
out[key] = prev if prev.get("status") == "rejected" else {**prev, "status": "rejected", "updated_at": at}
|
||
return _assemble(out)
|
||
|
||
|
||
def structure_relation_ids(schema_cache: Mapping[str, Any] | None, table: str) -> set[str]:
|
||
"""表结构能推出来的这张表的关系编号（外键约束、命名推断）。表结构里没有这张表时为空集。"""
|
||
if not isinstance(((schema_cache or {}).get("tables") or {}).get(table), Mapping):
|
||
return set()
|
||
rels = (fk_relations(schema_cache, table) or []) + infer_name_relations(schema_cache, table)
|
||
return {str(r["id"]) for r in rels}
|
||
|
||
|
||
async def review_entry(session: AsyncSession, source_id: str, table: str, path: str, action: str, *,
|
||
if_version: int, actor: str | None) -> CatalogEntry:
|
||
"""单项审阅并写入（乐观锁同 write_entry）。版本不符抛 CatalogConflict，路径不对抛 CatalogPathError。"""
|
||
entry = await read_entry(session, source_id, table)
|
||
current = entry.version if entry else 0
|
||
if if_version != current:
|
||
raise CatalogConflict(table, current)
|
||
notes = review_item(entry.notes if entry else {}, path, action)
|
||
return await write_entry(session, source_id, table, notes, if_version=current, actor=actor)
|
||
|
||
|
||
async def save_human_edit(session: AsyncSession, source_id: str, table: str, submitted: Mapping[str, Any], *,
|
||
if_version: int, actor: str | None,
|
||
schema_cache: Mapping[str, Any] | None = None) -> CatalogEntry:
|
||
"""人工提交整份目录并写入（规则见 apply_human_edit，乐观锁同 write_entry）。
|
||
|
||
schema_cache 用来判断哪些关系表结构推得出来（去掉时只能驳回）；不给就读数据源记录上的，和 SQL 检查建关系图
|
||
用的是同一份（sqlcheck.load_checkers）。
|
||
"""
|
||
entry = await read_entry(session, source_id, table)
|
||
current = entry.version if entry else 0
|
||
if if_version != current:
|
||
raise CatalogConflict(table, current)
|
||
if schema_cache is None:
|
||
row = await session.get(DataSource, source_id)
|
||
schema_cache = getattr(row, "schema_cache", None)
|
||
notes = apply_human_edit(entry.notes if entry else {}, submitted, table=table,
|
||
inferable=structure_relation_ids(schema_cache, table))
|
||
return await write_entry(session, source_id, table, notes, if_version=current, actor=actor)
|
||
|
||
|
||
# ==========================================================================
|
||
# 目录修改提案：对话里的纠正（阶段 4A）
|
||
#
|
||
# 用户在助手里说出一条数据事实（「status=9 表示作废」），模型发一条 catalog_patch；这里逐项核对、算出改前和
|
||
# 改后，转给前端做成卡片。**提案本身从不落库**：要人点「保存到数据目录」，带着读到的版本走 save_patch，
|
||
# 改动记为人工填写、已确认——和人工编辑同一条规矩，只是改动由模型起草。
|
||
# ==========================================================================
|
||
|
||
#: 新增关联关系的路径：relations.new，值写两端；编号按两端算（relation_id），同一条关系不论谁提都是同一个编号
|
||
NEW_RELATION_PATH = "relations.new"
|
||
#: 一条提案最多几项（预览、保存都按它）。对话里的纠正通常是一两条事实；表助手（data/catalog_assistant.py）会逐列补中文名、
|
||
#: 含义，界面上跨几轮攒下的待保存修改一次保存，宽表上常常几十上百项，所以放到 200
|
||
PATCH_MAX_CHANGES = 200
|
||
#: 看起来像计算公式的文字：「转化率=下单数/访问数」「= SUM(amount)」。公式进口径卡，目录只记数据事实。
|
||
#: 不认减号：「上线日期=2024-01-01」不是公式。有效记录条件本来就是 SQL 条件，不查它。
|
||
#: 对话提案（plan_patch）、人工整份提交（apply_human_edit，只查改动过的项）、模型起草（_from_model，丢掉这一项）
|
||
#: 三条路径都用它；不放进 validate_notes——库里已有的含公式的项会把那张表的任何写入都挡住
|
||
_FORMULA = re.compile(r"[=＝][^=<>!]*?[+*/×÷]|\b(?:sum|count|avg|average)\s*\(", re.IGNORECASE)
|
||
_FORMULA_CHECKED = frozenset({("t", "label"), ("t", "description"), ("t", "grain"), ("c", "label"),
|
||
("c", "meaning"), ("c", "unit"), ("c", "codes")})
|
||
|
||
|
||
@dataclass(frozen=True)
|
||
class PatchChange:
|
||
"""提案里的一项，核对过的。
|
||
|
||
- path：规范化后的路径（新增关系写成 relations.<编号>）；
|
||
- before / before_status：当前目录里这一项的值和状态，没有这一项为 None。被驳回的照样给出原值、状态写 rejected
|
||
（同导入预览「目标里这一项已经驳回」）：只是给人看的，算改后、算 state 都按没有这一项，保存时换成人工确认的新值；
|
||
- after：保存后的值（码值是补充后的完整对照）；value：要交回保存的原样取值（码值只有补充的那几个，
|
||
409 之后在最新的目录上重新补）；
|
||
- reason：提案的依据，按保存时的样子截过（clip_reason），没有为空串；
|
||
- state：change 值有变化；confirm 值相同、但还不是已确认（保存即确认）；same 已经是这个值且已确认。
|
||
- note：服务端对这一项的说明，给人看；没有时为 None，as_dict 里也不出现。目前只有一种：新增的关联关系没写
|
||
基数、又推算不出来（_relation_after）。
|
||
"""
|
||
|
||
path: str
|
||
before: Any
|
||
before_status: str | None
|
||
after: Any
|
||
value: Any
|
||
reason: str
|
||
state: str
|
||
note: str | None = None
|
||
|
||
def as_dict(self) -> dict[str, Any]:
|
||
out = {"path": self.path, "before": self.before, "before_status": self.before_status, "after": self.after,
|
||
"value": self.value, "reason": self.reason, "state": self.state}
|
||
if self.note:
|
||
out["note"] = self.note
|
||
return out
|
||
|
||
|
||
@dataclass(frozen=True)
|
||
class PatchPlan:
|
||
"""一条提案核对的结果：合法的项（changes）和不合法的项的中文说明（problems）。"""
|
||
|
||
changes: list[PatchChange]
|
||
problems: list[str]
|
||
|
||
|
||
def _column_names(meta: Mapping[str, Any] | None) -> set[str] | None:
|
||
"""表结构里的列名；不知道（表结构里没有这张表）时为 None，不核对。"""
|
||
if not isinstance(meta, Mapping):
|
||
return None
|
||
return {str(c.get("name")) for c in meta.get("columns") or [] if isinstance(c, Mapping) and c.get("name")}
|
||
|
||
|
||
def _formula_like(key: Slot, value: Any) -> bool:
|
||
if key[:1] + key[-1:] not in _FORMULA_CHECKED:
|
||
return False
|
||
texts = list(value.values()) if isinstance(value, dict) else [value]
|
||
return any(isinstance(t, str) and _FORMULA.search(t) for t in texts)
|
||
|
||
|
||
def _formula_problem(key: Slot) -> str:
|
||
return f"{describe_slot(key)}看起来是计算公式：公式请写进口径卡，数据目录只记数据事实"
|
||
|
||
|
||
def _patch_relation(table: str, raw: Any, path_id: str | None, tables: Mapping[str, Any] | None,
|
||
columns: set[str] | None) -> tuple[dict[str, Any] | None, str | None]:
|
||
"""关联关系的取值 → (关系的值部分, 问题)。值写两端（columns、to_table、to_columns），基数可选。
|
||
|
||
返回的是提案原样的取值：基数没写就是 None，覆盖率一律 None（模型写了也不认）。保存后的值由 _relation_after
|
||
并上目录里已有的测量结果再算。
|
||
"""
|
||
if not isinstance(raw, Mapping):
|
||
return None, "关联关系的值应写明本表字段、目标表和目标字段"
|
||
to_table = raw.get("to_table")
|
||
if isinstance(to_table, str) and tables is not None:
|
||
to_table = resolve_table_name({"tables": tables}, to_table)
|
||
if to_table is None:
|
||
return None, f"关联关系的目标表「{raw.get('to_table')}」不在数据源的表结构里"
|
||
value = {"columns": raw.get("columns"), "to_table": to_table, "to_columns": raw.get("to_columns"),
|
||
"cardinality": raw.get("cardinality"), "coverage": None}
|
||
probe = {"id": "probe", **value, "source": "human", "status": "confirmed"}
|
||
if problems := _relation_problems(probe, set()):
|
||
return None, problems[0].replace("关联关系 probe ", "关联关系")
|
||
if columns is not None and (missing := [c for c in value["columns"] if c not in columns]):
|
||
return None, f"关联关系的本表字段「{'、'.join(missing)}」不在表结构里"
|
||
target = _column_names((tables or {}).get(to_table)) if tables is not None else None
|
||
if target is not None and (missing := [c for c in value["to_columns"] if c not in target]):
|
||
return None, f"关联关系的目标字段「{'、'.join(missing)}」不在 {to_table} 的表结构里"
|
||
rid = relation_id(table, value["columns"], to_table, value["to_columns"])
|
||
if path_id is not None and path_id != rid:
|
||
return None, f"关联关系 {path_id} 的两端与取值不一致：要改指向，请驳回原关系后再新增"
|
||
return value, None
|
||
|
||
|
||
def _relation_after(table: str, value: Mapping[str, Any], prev: Mapping[str, Any] | None,
|
||
tables: Mapping[str, Any] | None) -> tuple[dict[str, Any], str | None]:
|
||
"""提案里一条关系保存后的值：(值, 给人看的说明)。
|
||
|
||
以前直接拿提案的取值整份替换：覆盖率写成空、基数取提案原值（模型多半不写）。数据剖析测得多对一、覆盖率 100%
|
||
的关系，经对话「确认一下」就丢了基数，一对多关联后重复计算的检查跟着失效。所以：
|
||
- 覆盖率是数据剖析测出来的，一律沿用目录里这条关系的（包括被驳回的那条留下的），没有就是空；
|
||
- 基数：提案写了用提案的；没写时，目录里已有这条关系就沿用它的；新增的按目标表的主键或唯一约束推算
|
||
（目标列是键，本表这几列也是键就是一对一，否则多对一，同外键约束的 _cardinality）；推算不了就留空，
|
||
并说明为什么空着。
|
||
"""
|
||
out = dict(value)
|
||
out["coverage"] = prev.get("coverage") if prev is not None else None
|
||
if out.get("cardinality") is not None:
|
||
return out, None
|
||
if prev is not None:
|
||
out["cardinality"] = prev.get("cardinality")
|
||
return out, None
|
||
meta = tables.get(table) if tables is not None else None
|
||
target = tables.get(str(out.get("to_table"))) if tables is not None else None
|
||
if not isinstance(meta, Mapping) or not isinstance(target, Mapping):
|
||
return out, "没有写明基数，表结构里也查不到两端的主键和唯一约束，基数暂时空着；一对多关联后重复计算的检查用不上这条关系"
|
||
if not _is_key(target, list(out.get("to_columns") or [])):
|
||
return out, (f"没有写明基数，目标字段不是 {out.get('to_table')} 的主键或唯一约束，推算不出，基数暂时空着；"
|
||
"一对多关联后重复计算的检查用不上这条关系，可以在数据目录里补上基数")
|
||
out["cardinality"] = _cardinality(meta, list(out.get("columns") or []))
|
||
return out, None
|
||
|
||
|
||
def _merge_codes(before: Mapping[str, str], value: Mapping[str, str]) -> dict[str, str]:
|
||
"""码值的补充：给出的码加进去或改掉原来的含义。含义为空表示「只知道有这个码、含义待填写」（数据剖析的码值
|
||
候选就是这样），所以提案里含义为空的码不覆盖已有的含义，只在原来没有这个码时加进去。"""
|
||
out = dict(before)
|
||
for code, meaning in value.items():
|
||
if not str(meaning).strip() and str(out.get(code) or "").strip():
|
||
continue
|
||
out[code] = meaning
|
||
return out
|
||
|
||
|
||
def plan_patch(notes: Mapping[str, Any] | None, changes: Any, *, table: str,
|
||
tables: Mapping[str, Any] | None = None) -> PatchPlan:
|
||
"""逐项核对一条目录修改提案，算出改前、改后。不改入参、不抛异常：不合法的项写进 problems。
|
||
|
||
changes 是 [{path, value, reason?}]。path 用审阅接口的写法：表级项写字段名，列级项 columns.<列名>.<字段>，
|
||
关系 relations.<编号>；新增关系写 relations.new。tables 是数据源 schema_cache 的 tables：给了就核对列名、
|
||
业务主键、业务日期列、关系两端在不在表结构里（模型会照着名字编列名）；不给不核对。
|
||
|
||
规则：
|
||
- 取值格式和 validate_notes 同一套（_TABLE_VALUE_RULES / _COLUMN_VALUE_RULES / _relation_problems）。
|
||
- 码值是补充：在现有（没被驳回的）码值上加或改给出的码，不整份替换——「status=9 表示作废」不该把已确认的
|
||
其余码值删掉。含义为空的码（数据剖析写进来的「含义待填写」）可以被补上含义；提案里含义为空的码只在原来
|
||
没有这个码时加进去，不会把已有的含义抹掉（_merge_codes）。
|
||
- 关联关系不抹掉测量结果：覆盖率沿用目录里的，基数没写时沿用或推算（_relation_after）。两端、基数、覆盖率都和
|
||
目录里一样时只是确认，来源不变。
|
||
- 被驳回的项算没有：码值不在驳回的码值上补，和驳回的值一样也是 change（保存时换成人工确认的新值）。改前照样写出
|
||
驳回的原值、before_status 为 rejected，不然界面上只看到「未填写」，看不出原来有一个被驳回的值。
|
||
- 看起来像计算公式的文字不收（_FORMULA）：公式进口径卡。
|
||
- 同一个路径出现两次只认第一次。
|
||
"""
|
||
meta = (tables or {}).get(table) if tables is not None else None
|
||
columns = _column_names(meta)
|
||
slots = _slots(notes)
|
||
out: list[PatchChange] = []
|
||
problems: list[str] = []
|
||
seen: set[str] = set()
|
||
if not isinstance(changes, list) or not changes:
|
||
return PatchPlan([], ["提案里没有要修改的项"])
|
||
if len(changes) > PATCH_MAX_CHANGES:
|
||
problems.append(f"提案里有 {len(changes)} 项，只核对前 {PATCH_MAX_CHANGES} 项")
|
||
changes = changes[:PATCH_MAX_CHANGES]
|
||
for raw in changes:
|
||
if not isinstance(raw, Mapping) or not isinstance(raw.get("path"), str) or "value" not in raw:
|
||
problems.append("提案里有一项不是「路径 + 取值」的形式")
|
||
continue
|
||
path = raw["path"].strip()
|
||
value = copy.deepcopy(raw["value"])
|
||
reason = clip_reason(raw.get("reason")) or ""
|
||
if path == NEW_RELATION_PATH:
|
||
rel, problem = _patch_relation(table, value, None, tables, columns)
|
||
if problem:
|
||
problems.append(problem)
|
||
continue
|
||
key: Slot = ("r", relation_id(table, rel["columns"], rel["to_table"], rel["to_columns"]))
|
||
value = rel
|
||
else:
|
||
try:
|
||
key = parse_path(path)
|
||
except CatalogPathError:
|
||
problems.append(f"无法识别要修改的项（{path[:60]}）")
|
||
continue
|
||
if key[0] == "r":
|
||
rel, problem = _patch_relation(table, value, key[1], tables, columns)
|
||
if problem:
|
||
problems.append(problem)
|
||
continue
|
||
value = rel
|
||
where = describe_slot(key) if key[0] != "r" else "关联关系"
|
||
if key[0] == "t":
|
||
check, hint = _TABLE_VALUE_RULES[key[1]]
|
||
if not check(value):
|
||
problems.append(f"{where}{hint}")
|
||
continue
|
||
if columns is not None:
|
||
cited = value if key[1] == "keys" else [value["column"]] if key[1] == "business_date" else []
|
||
if missing := [c for c in cited if c not in columns]:
|
||
problems.append(f"{where}里的「{'、'.join(missing)}」不在表结构里")
|
||
continue
|
||
elif key[0] == "c":
|
||
if columns is not None and key[1] not in columns:
|
||
problems.append(f"列 {key[1]} 不在表结构里")
|
||
continue
|
||
check, hint = _COLUMN_VALUE_RULES[key[2]]
|
||
if not check(value):
|
||
problems.append(f"{where}{hint}")
|
||
continue
|
||
if _formula_like(key, value):
|
||
problems.append(_formula_problem(key))
|
||
continue
|
||
norm = f"relations.{key[1]}" if key[0] == "r" else path
|
||
if norm in seen:
|
||
problems.append(f"{where}在提案里出现了两次，只采用第一次")
|
||
continue
|
||
seen.add(norm)
|
||
prev = slots.get(key)
|
||
live = prev if prev is not None and prev.get("status") != "rejected" else None
|
||
before = _value_of(key, live) if live is not None else None
|
||
after, note = value, None
|
||
if key[0] == "r":
|
||
after, note = _relation_after(table, value, prev, tables)
|
||
elif key[0] == "c" and key[2] == "codes" and isinstance(before, dict):
|
||
after = _merge_codes(before, value)
|
||
if before is not None and before == after:
|
||
state = "same" if live.get("status") == "confirmed" else "confirm"
|
||
else:
|
||
state = "change"
|
||
# 改前给人看：被驳回的也写出原值（上面算改后、算 state 照旧按没有这一项）
|
||
shown = live if live is not None else prev
|
||
out.append(PatchChange(path=norm, before=copy.deepcopy(_value_of(key, shown)) if shown is not None else None,
|
||
before_status=shown.get("status") if shown is not None else None,
|
||
after=after, value=value, reason=reason, state=state, note=note))
|
||
return PatchPlan(out, problems)
|
||
|
||
|
||
def apply_patch(notes: Mapping[str, Any] | None, changes: Any, *, table: str,
|
||
tables: Mapping[str, Any] | None = None, at: str | None = None) -> dict[str, Any]:
|
||
"""把一条提案并进目录，返回新目录（不改入参）。有一项不合法就整条不收，抛 CatalogInvalid。
|
||
|
||
值有变化的项记为人工填写、已确认（和人工编辑同一条规矩：改动出自人的确认，不是模型起草）；值没变的只把
|
||
状态改成已确认、来源不变（等同单项确认）；已经确认过的原样不动。
|
||
|
||
提案里的依据（reason，clip_reason 截过）记进这一项的 reason（确认时的依据），和备注 note 分开：note 是起草的依据、
|
||
剖析的测量这类机器写的说明，照旧不拼依据——以前拼进 note，再剖析时测量的说法换不了新（catalog_profile._patch_confirmed
|
||
只换剖析自己写的备注）、旧依据叠在新依据后面、撤销审阅后还挂在推断项上。依据每次保存整句换掉、不叠加：值改了的项
|
||
（关联关系改了值也一样）是这一次的依据，没写就没有（原来的说的是旧值）；值不变、保存即确认的也换成这一次的。
|
||
"""
|
||
plan = plan_patch(notes, changes, table=table, tables=tables)
|
||
if plan.problems:
|
||
raise CatalogInvalid(plan.problems)
|
||
at = at or now_iso()
|
||
slots = _slots(notes)
|
||
for change in plan.changes:
|
||
key = parse_path(change.path)
|
||
if change.state == "same":
|
||
continue
|
||
prev = slots.get(key)
|
||
reason = change.reason or None
|
||
if change.state == "confirm" and prev is not None:
|
||
item = {k: v for k, v in prev.items() if k != "reason"}
|
||
item.update(status="confirmed", updated_at=at, **({"reason": reason} if reason else {}))
|
||
slots[key] = item
|
||
continue
|
||
if key[0] == "r":
|
||
rel = {"id": key[1], **change.after, "source": "human", "status": "confirmed", "updated_at": at}
|
||
if prev is not None and prev.get("note"):
|
||
rel["note"] = prev["note"] # 覆盖率沿用了，说明它怎么测的那段备注也留着
|
||
if reason:
|
||
rel["reason"] = reason
|
||
slots[key] = rel
|
||
else:
|
||
# 码值是补充、不删已有的码：原来标了「已列全」的，补充之后仍然列全。提案自己不能标「已列全」——
|
||
# 用户在对话里说一个码值的意思，不等于确认这一列只有这些取值
|
||
done = key[0] == "c" and key[2] == "codes" and prev is not None and prev.get("status") != "rejected" \
|
||
and codes_complete(prev)
|
||
slots[key] = make_item(change.after, "human", "confirmed", at=at, complete=done, reason=reason)
|
||
out = _assemble(slots)
|
||
if problems := validate_notes(out):
|
||
raise CatalogInvalid(problems)
|
||
return out
|
||
|
||
|
||
async def save_patch(session: AsyncSession, source_id: str, table: str, changes: Any, *, if_version: int,
|
||
actor: str | None, tables: Mapping[str, Any] | None = None) -> CatalogEntry:
|
||
"""保存一条目录修改提案（规则见 apply_patch，乐观锁同 write_entry）。版本不符抛 CatalogConflict。"""
|
||
entry = await read_entry(session, source_id, table)
|
||
current = entry.version if entry else 0
|
||
if if_version != current:
|
||
raise CatalogConflict(table, current)
|
||
notes = apply_patch(entry.notes if entry else {}, changes, table=table, tables=tables)
|
||
return await write_entry(session, source_id, table, notes, if_version=current, actor=actor)
|
||
|
||
|
||
# ==========================================================================
|
||
# 起草：数据库注释、外键约束、命名推断（只看探查缓存，不发数据库查询）
|
||
# ==========================================================================
|
||
|
||
|
||
@dataclass(frozen=True)
|
||
class TableDraft:
|
||
"""一张表的起草结果。covered：这一轮完整算过的来源（merge_notes 据此删掉这些来源里已经没有的旧项；模型起草的项
|
||
只在列已经不在表结构里时才删）。
|
||
|
||
error：模型起草只写出了一部分（有的段没写出来）时，没写出来的是哪部分、为什么。这时 covered 不含 llm：没写全
|
||
就不算完整起草过。"""
|
||
|
||
notes: dict[str, Any]
|
||
covered: frozenset[str] = frozenset()
|
||
error: str | None = None
|
||
|
||
|
||
def system_notes_source(source: Any) -> bool:
|
||
"""这个源的表说明、列说明是不是系统生成的（导入表格）。
|
||
|
||
上传表格建的源（origin=upload）：简单导入时未规整的表写着 UNSHAPED_NOTE，按配方导入时表和列的说明
|
||
由 recipe_notes 按核对结果生成（schema_cache 顶层 import_mode=recipe）。这些说明有严格的规矩（跟着
|
||
核对结果走、不带数字和坐标），目录不能重复它们，也不能和它们矛盾：起草时不拷进中文名和含义，渲染时
|
||
保留说明、只追加说明没有覆盖的项（render_table_notes）。
|
||
"""
|
||
if (getattr(source, "origin", None) or "manual") == "upload":
|
||
return True
|
||
return (getattr(source, "schema_cache", None) or {}).get("import_mode") == "recipe"
|
||
|
||
|
||
def resolve_table_name(schema_cache: Mapping[str, Any] | None, name: str) -> str | None:
|
||
"""在表结构里找表，返回 schema_cache["tables"] 的键。全名、只有表名、大小写不一致都认。
|
||
|
||
大小写按 name_key 比：只把 ASCII 字母转小写，和 SQLite 比较标识符、使用次数（table_usage）、影响面
|
||
（catalog_impact）的口径一致。以前这里按 Unicode 转小写，表名里有非 ASCII 大写字母时（「CAFÉ_ORDERS」）
|
||
这里认得、那两处认不得，同一张表在目录页和影响面上对不上。
|
||
"""
|
||
tables = (schema_cache or {}).get("tables") or {}
|
||
if name in tables:
|
||
return name
|
||
short = name.rsplit(".", 1)[-1]
|
||
if short in tables:
|
||
return short
|
||
key = name_key(short)
|
||
return next((n for n in tables if name_key(n) == key), None)
|
||
|
||
|
||
#: 数据库注释多长、带不带句读，决定它是「名字」还是「解释」
|
||
_LABEL_MAX = 24
|
||
_SENTENCE_MARKS = re.compile(r"[，。；;,.!?！？：:\n]")
|
||
|
||
|
||
def _comment_is_label(text: str) -> bool:
|
||
"""短、不带句读的注释是名字（「实收金额」），否则是一段解释（「状态：1 表示有效…」）。"""
|
||
return len(text) <= _LABEL_MAX and not _SENTENCE_MARKS.search(text)
|
||
|
||
|
||
#: 标识符写法的注释：只有字母、数字、下划线、点，不带空格（「member_card」「ord.status」「GMV」）
|
||
_IDENTIFIER = re.compile(r"[A-Za-z0-9_.]+")
|
||
#: 比较注释和名字时忽略的字符：下划线、连字符、空白
|
||
_NAME_FILLER = re.compile(r"[\s_\-]+")
|
||
|
||
|
||
def _bare_name(text: str) -> str:
|
||
return _NAME_FILLER.sub("", text).lower()
|
||
|
||
|
||
def comment_role(text: str, name: str) -> str | None:
|
||
"""数据库注释在目录里记成什么：label 中文名；note 一段解释（表记进说明，列记进含义）；None 不记。
|
||
|
||
- 注释就是名字本身（和表名、列名相同，忽略大小写、下划线、连字符和空白；表名带 schema 前缀的也比不带前缀的），
|
||
或者是标识符写法（只有字母、数字、下划线、点，不带空格）：说明不了什么，不记。以前这种注释短、不带句读，就当
|
||
中文名记下了；库注释的级别又比模型起草高，模型起草的中文名永远进不了目录。交给模型的表结构里照旧有这条注释；
|
||
- 短、不带句读的是名字（「实收金额」）；
|
||
- 否则是一段解释（「状态：1 表示有效…」）。
|
||
|
||
只影响以后的起草：已有的目录不另做迁移，起草到那张表时按这一轮的注释重新算（旧的那条随之删掉）。
|
||
"""
|
||
bare = _bare_name(text)
|
||
names = {name, name.rsplit(".", 1)[-1]}
|
||
if not bare or any(bare == _bare_name(n) for n in names) or _IDENTIFIER.fullmatch(text):
|
||
return None
|
||
return "label" if _comment_is_label(text) else "note"
|
||
|
||
|
||
def _is_key(meta: Mapping[str, Any], columns: list[str]) -> bool:
|
||
"""这几列恰好是这张表的主键或某个唯一约束（不分大小写、不计顺序）。"""
|
||
wanted = {str(c).lower() for c in columns}
|
||
keys = [meta.get("primary_key") or []] + [u for u in meta.get("unique") or [] if isinstance(u, list)]
|
||
return bool(wanted) and any(wanted == {str(c).lower() for c in k} for k in keys if k)
|
||
|
||
|
||
def _cardinality(meta: Mapping[str, Any], columns: list[str]) -> str:
|
||
"""本表这几列指向别的表（的键）时的基数：这几列恰好是本表的主键或某个唯一约束，就是一对一，否则多对一。"""
|
||
return "one_to_one" if _is_key(meta, columns) else "many_to_one"
|
||
|
||
|
||
def _relation(table: str, columns: list[str], to_table: str, to_columns: list[str], source: str, *,
|
||
cardinality: str | None) -> dict[str, Any]:
|
||
return {"id": relation_id(table, columns, to_table, to_columns), "columns": list(columns), "to_table": to_table,
|
||
"to_columns": list(to_columns), "cardinality": cardinality, "coverage": None, "source": source,
|
||
"status": initial_status(source)}
|
||
|
||
|
||
def fk_relations(schema_cache: Mapping[str, Any] | None, table: str) -> list[dict[str, Any]] | None:
|
||
"""外键约束 → 关系（fk / verified）。缓存里没有 foreign_keys（升级前探查的）返回 None：不知道有没有外键。
|
||
|
||
外键没写被指向的列（SQLite 的 REFERENCES t 可以省略列）时取被指向表的主键；列数对不上的跳过。
|
||
"""
|
||
tables = (schema_cache or {}).get("tables") or {}
|
||
meta = tables.get(table)
|
||
if not isinstance(meta, dict) or not isinstance(meta.get("foreign_keys"), list):
|
||
return None
|
||
out: dict[str, dict[str, Any]] = {}
|
||
for fk in meta["foreign_keys"]:
|
||
if not isinstance(fk, dict):
|
||
continue
|
||
cols, to_table = list(fk.get("columns") or []), fk.get("to_table")
|
||
to_cols = list(fk.get("to_columns") or [])
|
||
if not cols or not isinstance(to_table, str) or not to_table:
|
||
continue
|
||
if not to_cols:
|
||
to_cols = list((tables.get(to_table) or {}).get("primary_key") or [])
|
||
if len(to_cols) != len(cols):
|
||
continue
|
||
rel = _relation(table, cols, to_table, to_cols, "fk", cardinality=_cardinality(meta, cols))
|
||
out.setdefault(rel["id"], rel)
|
||
return list(out.values())
|
||
|
||
|
||
# ---- 命名推断
|
||
|
||
#: xxx_id（不分大小写）、xxxId、xxxID。没有分隔的 paid、uuid、PAID 都不算
|
||
_SNAKE_ID = re.compile(r"^(?P<stem>.+?)_id$", re.IGNORECASE)
|
||
_CAMEL_ID = re.compile(r"^(?P<stem>.*[a-z0-9])(?:Id|ID)$")
|
||
_WORDS = re.compile(r"[A-Z]+(?=[A-Z][a-z])|[A-Z]?[a-z]+|[A-Z]+|\d+")
|
||
|
||
|
||
def name_words(name: str) -> list[str]:
|
||
"""名字切成小写的词：下划线和驼峰都是分隔（memberTag、member_tag、MEMBER_TAG 都是 member + tag）。
|
||
|
||
命名推断、数据剖析认码值列和日期列都用这一个切法（以前剖析另写了一份一样的）。
|
||
"""
|
||
return [w.lower() for part in name.split("_") for w in _WORDS.findall(part)]
|
||
|
||
|
||
#: 名字像日期、时间的列，切词后的最后一个词：visit_time、ordered_at、joined_on、createdAt、biz_dt、load_ts……
|
||
_DATE_TAILS = frozenset({"at", "on", "date", "time", "day", "dt", "ts", "timestamp", "datetime"})
|
||
#: 单独做列名也算日期的词。at、on 单独做列名不是日期
|
||
_DATE_WORDS = frozenset({"date", "time", "day", "dt", "ts", "timestamp", "datetime"})
|
||
_TEXT_TYPES = ("CHAR", "TEXT", "STRING", "CLOB")
|
||
|
||
|
||
def is_date_column(name: str, type_name: str | None) -> bool:
|
||
"""日期类列：类型是日期、时间戳（DATE、DATETIME、TIMESTAMP……）；或者类型是文字（或者不知道类型）、名字像日期
|
||
（SQLite 的日期常存成文字）。只有时刻的 TIME、整数存的时间戳不算：取值不是日期。
|
||
|
||
数据剖析（表里只有一个日期类列时提议它作业务日期）和 SQL 检查（按业务日期以外的时间列统计）共用这一个判断。
|
||
以前两边各写一套：剖析认的「唯一日期列」，SQL 检查可能认为还有别的时间列，反过来也一样，两边对不上。
|
||
"""
|
||
t = (type_name or "").upper()
|
||
if "DATE" in t or "TIMESTAMP" in t:
|
||
return True
|
||
if t and not any(k in t for k in _TEXT_TYPES):
|
||
return False
|
||
words = name_words(name)
|
||
return bool(words) and words[-1] in _DATE_TAILS and (len(words) > 1 or words[0] in _DATE_WORDS)
|
||
|
||
|
||
def _singulars(word: str) -> set[str]:
|
||
"""一个词可能的单数形式（含它自己）。两边都取这个集合、有交集就算同一个词：categories 和 category、
|
||
courses 和 course、status 和 statuses 都对得上，不靠一套「复数变单数」的规则硬猜。"""
|
||
out = {word}
|
||
if word.endswith("ies") and len(word) > 3:
|
||
out.add(word[:-3] + "y")
|
||
if word.endswith("es") and len(word) > 2:
|
||
out.add(word[:-2])
|
||
if word.endswith("s") and not word.endswith("ss") and len(word) > 1:
|
||
out.add(word[:-1])
|
||
return out
|
||
|
||
|
||
def _name_index(tables: Mapping[str, Any]) -> dict[tuple[str, str], set[str]]:
|
||
"""{(前面几个词拼起来, 最后一个词的单数形式): 表名}。"""
|
||
index: dict[tuple[str, str], set[str]] = {}
|
||
for name in tables:
|
||
words = name_words(name)
|
||
if not words:
|
||
continue
|
||
prefix = "".join(words[:-1])
|
||
for form in _singulars(words[-1]):
|
||
index.setdefault((prefix, form), set()).add(name)
|
||
return index
|
||
|
||
|
||
def _type_family(type_name: str | None) -> str | None:
|
||
"""列类型的大类：数字、文字、时间；认不出来返回 None（不据此排除）。"""
|
||
t = (type_name or "").upper()
|
||
if not t:
|
||
return None
|
||
if any(k in t for k in ("CHAR", "TEXT", "CLOB", "STRING", "UUID")):
|
||
return "text"
|
||
if any(k in t for k in ("INT", "NUMBER", "NUMERIC", "DECIMAL", "SERIAL", "REAL", "FLOAT", "DOUBLE")):
|
||
return "number"
|
||
if any(k in t for k in ("DATE", "TIME")):
|
||
return "time"
|
||
return None
|
||
|
||
|
||
def _id_stem(column: str) -> str | None:
|
||
m = _SNAKE_ID.match(column) or _CAMEL_ID.match(column)
|
||
return m.group("stem") if m else None
|
||
|
||
|
||
def infer_name_relations(schema_cache: Mapping[str, Any] | None, table: str, *,
|
||
_index: dict[tuple[str, str], set[str]] | None = None) -> list[dict[str, Any]]:
|
||
"""按列名推断关系（name / proposed）：xxx_id、xxxId、xxxID 对上表名的单复数、驼峰和下划线变体，指向那张表的主键。
|
||
|
||
推不准就不推。以下情况一律放过：
|
||
- 列上已经有外键约束（外键说了算）；
|
||
- 词根太短（x_id）；
|
||
- 没有对得上的表，或者对得上的表不止一张（guide 和 guides 都在）；
|
||
- 对上的是本表自己（employees.employee_id 是工号，不是自引用）；
|
||
- 被指向的表没有主键，或主键不止一列；
|
||
- 两边的类型大类不同（文字列指向整数主键）。
|
||
"""
|
||
tables = (schema_cache or {}).get("tables") or {}
|
||
meta = tables.get(table)
|
||
if not isinstance(meta, dict):
|
||
return []
|
||
index = _index if _index is not None else _name_index(tables)
|
||
constrained = {c.lower() for fk in meta.get("foreign_keys") or [] if isinstance(fk, dict)
|
||
for c in fk.get("columns") or []}
|
||
out: list[dict[str, Any]] = []
|
||
for col in meta.get("columns") or []:
|
||
name = str(col.get("name") or "")
|
||
stem = _id_stem(name)
|
||
if stem is None or name.lower() in constrained:
|
||
continue
|
||
words = name_words(stem)
|
||
if not words or len("".join(words)) < 2:
|
||
continue
|
||
prefix = "".join(words[:-1])
|
||
candidates: set[str] = set()
|
||
for form in _singulars(words[-1]):
|
||
candidates |= index.get((prefix, form), set())
|
||
if not candidates:
|
||
# 直接对不上：库里的表常带业务前缀（store_tags），列名却只写词根（tagId）。
|
||
# 只认和引用它的表共用前缀的那张，从最长的共用前缀试起；仍然不止一张就不推
|
||
own = name_words(table)
|
||
for k in range(len(own) - 1, 0, -1):
|
||
for form in _singulars(words[-1]):
|
||
candidates |= index.get(("".join(own[:k]) + prefix, form), set())
|
||
if candidates:
|
||
break
|
||
if len(candidates) != 1:
|
||
continue
|
||
target = next(iter(candidates))
|
||
if target == table:
|
||
continue
|
||
target_meta = tables.get(target) or {}
|
||
pk = list(target_meta.get("primary_key") or [])
|
||
if len(pk) != 1:
|
||
continue
|
||
pk_type = next((c.get("type") for c in target_meta.get("columns") or [] if c.get("name") == pk[0]), None)
|
||
mine, theirs = _type_family(col.get("type")), _type_family(pk_type)
|
||
if mine and theirs and mine != theirs:
|
||
continue
|
||
out.append(_relation(table, [name], target, pk, "name", cardinality=_cardinality(meta, [name])))
|
||
return out
|
||
|
||
|
||
def draft_structure(source: Any, table: str) -> TableDraft:
|
||
"""只看表结构就能起草的部分：数据库注释、外键约束、命名推断。table 必须是 schema_cache["tables"] 的键。
|
||
|
||
- 数据库注释 → 中文名或含义（comment / proposed）：短而不带句读的是名字，记进表或列的中文名；否则是
|
||
一段解释，记进表的说明或列的含义；就是名字本身、标识符写法的不记（comment_role）。导入表格的源例外
|
||
（system_notes_source）：说明是系统生成的，不拷。
|
||
- 外键约束 → 关系（fk / verified）。
|
||
- 命名推断 → 关系（name / proposed）。
|
||
"""
|
||
cache = getattr(source, "schema_cache", None) or {}
|
||
meta = (cache.get("tables") or {}).get(table)
|
||
if not isinstance(meta, dict):
|
||
raise KeyError(table)
|
||
notes: dict[str, Any] = {}
|
||
if not system_notes_source(source):
|
||
comment = (meta.get("comment") or "").strip()
|
||
role = comment_role(comment, table) if comment else None
|
||
if role is not None:
|
||
notes["label" if role == "label" else "description"] = make_item(comment, "comment")
|
||
columns: dict[str, dict[str, Any]] = {}
|
||
for col in meta.get("columns") or []:
|
||
text = (col.get("comment") or "").strip()
|
||
role = comment_role(text, str(col["name"])) if text else None
|
||
if role is not None:
|
||
columns[col["name"]] = {("label" if role == "label" else "meaning"): make_item(text, "comment")}
|
||
if columns:
|
||
notes["columns"] = columns
|
||
fks = fk_relations(cache, table)
|
||
relations = list(fks or [])
|
||
seen = {r["id"] for r in relations}
|
||
relations += [r for r in infer_name_relations(cache, table) if r["id"] not in seen]
|
||
if relations:
|
||
notes["relations"] = relations
|
||
covered = {"comment", "name"} | ({"fk"} if fks is not None else set())
|
||
return TableDraft(notes=notes, covered=frozenset(covered))
|
||
|
||
|
||
# ==========================================================================
|
||
# 起草：模型（可选，按表分批，结构化输出）
|
||
# ==========================================================================
|
||
|
||
#: 每次调用最多几张表、合计多少列（data/catalog_draft.py 按它分段）。实测每列约 50 个输出 token（不算思考），
|
||
#: 会思考的模型思考也算在输出额度里：一段太大，想完就没额度写正文。列数超过 MODEL_BATCH_COLUMNS 的宽表拆成
|
||
#: 「表级一段 + 列分段」，列分段数是列数除以它向上取整，各段列数平均（相差不超过 1），不留很小的尾段
|
||
MODEL_BATCH_TABLES = 4
|
||
MODEL_BATCH_COLUMNS = 40
|
||
#: 一次起草里额度用完或超时累计这么多次，之后新开始的段列数上限减半（MODEL_BATCH_COLUMNS → 一半 → …），
|
||
#: 最低 MODEL_MIN_PART_COLUMNS 列
|
||
MODEL_SHRINK_AFTER = 2
|
||
MODEL_MIN_PART_COLUMNS = 10
|
||
#: 一段（连同它拆出来的、补问的、重试的）最多调用几次模型，到了次数还没写完的记没写出来
|
||
MODEL_PART_MAX_CALLS = 8
|
||
#: 提醒：最近 MODEL_NOTICE_WINDOW 次调用里有 MODEL_NOTICE_ON 次以上没写出来时提醒换模型；之后少于 MODEL_NOTICE_OFF
|
||
#: 次时清掉
|
||
MODEL_NOTICE_WINDOW = 6
|
||
MODEL_NOTICE_ON = 4
|
||
MODEL_NOTICE_OFF = 2
|
||
#: 全进程同时进行的模型调用最多几个（所有起草任务、同步起草共用）
|
||
MODEL_CONCURRENCY = 3
|
||
#: 单次调用最多等多久（秒）。会思考的模型想得久，一段 40 列常常要几分钟；超时了拆小再问（同额度用完）
|
||
MODEL_TIMEOUT_S = 420
|
||
#: 输出额度。会思考的模型（经 OpenAI 兼容网关的推理模型等）思考也算在里面：8192 时上百列的表常常想完就没额度
|
||
#: 写正文。保留思考（不关），加大额度；服务方嫌额度太大时退回 MODEL_FALLBACK_MAX_TOKENS（同 copilot、recipe_ai）
|
||
MODEL_MAX_TOKENS = 32768
|
||
MODEL_FALLBACK_MAX_TOKENS = 8192
|
||
#: 一段没写出来（额度用完、只给空壳）时拆成两半再问：最多拆几层、拆到最少几列为止
|
||
MODEL_SPLIT_DEPTH = 3
|
||
MODEL_SPLIT_MIN_COLUMNS = 5
|
||
#: 止损（按比例）：这次起草最近 MODEL_HALT_WINDOW 次调用里有 MODEL_HALT_ON 次以上没写出来（额度用完、超时、空壳、出错），
|
||
#: 之后的段不再拆小、每块只问一次，直到比例降下去。模型明显用不了时不该一段一段拆到底烧额度；以前按「连续几段」算，
|
||
#: 偶尔一次写出来就清零，会思考的模型在宽表上 90 分钟停不下来。每段另有 MODEL_PART_MAX_CALLS 次封顶
|
||
MODEL_HALT_WINDOW = 10
|
||
MODEL_HALT_ON = 7
|
||
#: 同一张表连续这么多个原始段都一项没写出来，这张表剩下的段跳过不问（可以换一个起草模型后只重试这张表）
|
||
MODEL_TABLE_GIVE_UP_AFTER = 3
|
||
#: 网络错误、429、5xx 最多重试几次，每次重试前等多久（秒，依次取用）。超时不原样重试，当作这一段太大、拆小再问
|
||
MODEL_RETRIES = 2
|
||
MODEL_RETRY_DELAYS_S = (10.0, 30.0)
|
||
#: 不指定表时起草使用次数最多的前几张
|
||
DRAFT_DEFAULT_TABLES = 20
|
||
|
||
|
||
class CatalogModelUnavailable(RuntimeError):
|
||
"""没有可用于起草的模型（没有接入、停用、只有演示接入、缺 key）。message 给人看；在调用模型之前判定。"""
|
||
|
||
|
||
CATALOG_DRAFT_SYSTEM = """你在为一个业务数据库编写数据目录：说明每张表、每一列在业务上是什么。只根据给出的表结构推断，\
|
||
不要编造不存在的表和列。
|
||
|
||
要写的内容：
|
||
- label：表的中文名，简短（例如「入园记录」）。
|
||
- grain：一行代表什么（例如「每张门票每次检票一行」）。
|
||
- kind：表类型，fact（事实表，记录业务事件）、dimension（维度表，描述对象）、snapshot（快照表，某一时点的状态）、\
|
||
log（日志表）、config（配置表）之一。
|
||
- keys：业务主键，即在业务上唯一确定一行的列（可以和数据库主键不同），写列名。
|
||
- business_date：业务日期按哪一列算，rule 写一句规则，timezone 写时区（不确定就留空）。
|
||
- valid_filter：有效行过滤。condition 写一段 SQL 条件，筛出业务上算数的行（例如 STATUS NOT IN ('C', 'X')，去掉作废、\
|
||
测试的行）：只用这张表自己的列、不带表名，只写比较、IN、BETWEEN、LIKE、IS NULL，用 AND、OR、NOT 连接，函数只用 UPPER、\
|
||
LOWER、TRIM、COALESCE，不写子查询、聚合、窗口函数和分号；reason 写一句依据（例如哪条注释、哪些码值说明了这一点）。
|
||
- dedup：去重规则，rule 写一句话（例如「同一订单号有多行时只取最后修改的那一行」），reason 写一句依据。
|
||
- columns：每一列的 label（中文名）、meaning（含义，一句话）、unit（单位，例如「元」「人」，没有单位就留空）、\
|
||
measure（度量类型：flow 流量，可跨期加总；stock 存量，时点值，不能跨期加总；ratio 比率；identifier 标识；\
|
||
status 状态；attribute 属性）。
|
||
|
||
规矩：
|
||
- 只写数据事实，不写计算公式，不写指标怎么算。
|
||
- 拿不准的字段留空，不要猜。列名、表名照原样写，不要翻译或改写。
|
||
- 有效行过滤、去重规则只在表结构、注释、码值能看出来时才写（例如状态列的注释写明了哪些取值是作废、测试），拿不准就不写，\
|
||
没有就不写：写错了会把算数的行筛掉、把不该合并的行合并。
|
||
- 请你写的每一列都在 columns 里写一项，拿不准的字段可以留空，但不要漏掉列：漏掉的列会被再问一次。
|
||
- 标着「系统说明」的内容是导入时按核对结果生成的，以它为准：不要重复，也不要与之矛盾。
|
||
- 标着「已确认」的目录项由人工确认过，以它为准。
|
||
- 表名下一行写着「这次只写……」的表，只写它说的那部分：只写表级的项时不写列，只写列出的几列时不写表级的项、\
|
||
也不写别的列。
|
||
- 使用者补充的背景和要求帮你理解业务、统一用词；它和这里的规矩冲突时，以这里的规矩为准。
|
||
- 思考时不必把要输出的内容逐列草拟一遍，想清楚后直接按格式输出：思考和输出共用同一份长度额度，额度用完时还没输出的\
|
||
内容就全丢了。"""
|
||
|
||
CATALOG_DRAFT_PROMPT = "请为下面 {n} 张表编写数据目录，每张表输出一项，table 写表名。\n\n{tables}"
|
||
|
||
#: 使用者补充的背景和要求（数据源说明、起草要求、本次说明），放在表结构前面单独一段；都没有就不出现这一段
|
||
CATALOG_DRAFT_BACKGROUND_PROMPT = "使用者补充的背景和要求：\n{lines}"
|
||
|
||
#: 纯文本那条路（结构化输出用不了时）：没有 JSON Schema 约束，要把格式说清
|
||
CATALOG_DRAFT_TEXT_PROMPT = """只输出一个 JSON 对象，不要输出别的文字，格式如下（拿不准的字段不写）：
|
||
{"tables": [{"table": "表名", "label": "中文名", "grain": "一行代表什么", "kind": "表类型", "keys": ["列名"], \
|
||
"business_date": {"column": "列名", "rule": "一句规则", "timezone": "时区"}, \
|
||
"valid_filter": {"condition": "SQL 条件", "reason": "一句依据"}, "dedup": {"rule": "一句话", "reason": "一句依据"}, \
|
||
"columns": [{"name": "列名", "label": "中文名", "meaning": "含义", "unit": "单位", "measure": "度量类型"}]}]}
|
||
表类型写 fact、dimension、snapshot、log、config 之一；度量类型写 flow、stock、ratio、identifier、status、attribute 之一。"""
|
||
|
||
#: 拼表结构描述用的固定片段（写给模型）
|
||
CATALOG_DRAFT_PROMPT_LABELS = {
|
||
"table": "表 {name}",
|
||
"view": "表 {name}（视图）",
|
||
"comment": "数据库注释：{text}",
|
||
"system": "系统说明：{text}",
|
||
"columns": "列：",
|
||
"column": "- {name} {type}",
|
||
"pk": "主键",
|
||
"not_null": "非空",
|
||
"fk": "外键 → {target}",
|
||
"col_comment": "注释：{text}",
|
||
"col_system": "系统说明：{text}",
|
||
"unique": "唯一约束：{cols}",
|
||
"confirmed": "已确认的目录项：",
|
||
# 分段起草：表名下一行说这次只写哪部分（宽表的表级一段、列分段，拆小重问时的半段）
|
||
"only_table": "这次只写表级的项（中文名、粒度、表类型、业务主键、业务日期、有效行过滤、去重规则），不写列",
|
||
"only_columns": "这次只写下面列出的 {n} 列（这张表共 {total} 列），不写表级的项",
|
||
"table_and_columns": "这次只写表级的项和这 {n} 列：{cols}",
|
||
"brief_columns": "列（共 {n} 列，这里只列名字和类型）：",
|
||
"drafted": "已起草的表级内容：",
|
||
# 开了数据剖析的源：目录里记下的码值（剖析看到的取值和已知含义）交给模型，判断有效行过滤用；遮罩的列不给
|
||
"codes": "目录里记下的码值（数据剖析看到的取值和已知含义，可据此判断有效行过滤）：",
|
||
"code": "- {name}：{codes}",
|
||
# 使用者补充的背景和要求
|
||
"description": "数据源说明：{text}",
|
||
"guidance": "起草要求：{text}",
|
||
"note": "本次说明：{text}",
|
||
}
|
||
|
||
CATALOG_DRAFT_PROMPT_SCHEMA: dict[str, Any] = {
|
||
"title": "catalog_draft",
|
||
"description": "数据目录草稿，每张表一项",
|
||
"type": "object",
|
||
"properties": {
|
||
"tables": {
|
||
"type": "array",
|
||
"items": {
|
||
"type": "object",
|
||
"properties": {
|
||
"table": {"type": "string", "description": "表名，照原样写"},
|
||
"label": {"type": "string", "description": "表的中文名"},
|
||
"grain": {"type": "string", "description": "一行代表什么"},
|
||
"kind": {"type": "string", "enum": list(TABLE_KINDS)},
|
||
"keys": {"type": "array", "items": {"type": "string"}, "description": "业务主键的列名"},
|
||
"business_date": {
|
||
"type": "object",
|
||
"properties": {"column": {"type": "string"}, "rule": {"type": "string"},
|
||
"timezone": {"type": "string"}},
|
||
"required": ["column"],
|
||
},
|
||
"valid_filter": {
|
||
"type": "object",
|
||
"description": "有效行过滤：只在表结构、注释、码值能看出来时才写",
|
||
"properties": {"condition": {"type": "string", "description": "SQL 条件，只用这张表的列"},
|
||
"reason": {"type": "string", "description": "一句依据"}},
|
||
"required": ["condition"],
|
||
},
|
||
"dedup": {
|
||
"type": "object",
|
||
"description": "去重规则：只在表结构、注释能看出来时才写",
|
||
"properties": {"rule": {"type": "string", "description": "一句话"},
|
||
"reason": {"type": "string", "description": "一句依据"}},
|
||
"required": ["rule"],
|
||
},
|
||
"columns": {
|
||
"type": "array",
|
||
"items": {
|
||
"type": "object",
|
||
"properties": {
|
||
"name": {"type": "string", "description": "列名，照原样写"},
|
||
"label": {"type": "string"}, "meaning": {"type": "string"},
|
||
"unit": {"type": "string"},
|
||
"measure": {"type": "string", "enum": list(COLUMN_MEASURES)},
|
||
},
|
||
"required": ["name"],
|
||
},
|
||
},
|
||
},
|
||
"required": ["table"],
|
||
},
|
||
},
|
||
},
|
||
"required": ["tables"],
|
||
}
|
||
|
||
class DraftModel:
|
||
"""起草用的模型：先按 MODEL_MAX_TOKENS 的额度调；服务方嫌额度太大（budget_rejected）时换成 MODEL_FALLBACK_MAX_TOKENS
|
||
的那一个，之后的调用都用它（shrink）。一次起草（一个起草任务、一次同步起草）共用一个，退回之后不再先失败一次。
|
||
|
||
只转发起草用到的两个方法：with_structured_output 每次都取当前那个模型的，ainvoke 同理。"""
|
||
|
||
def __init__(self, big: Any, small: Any | None, model_name: str = "") -> None:
|
||
self.model, self._small = big, small
|
||
self.model_name = model_name
|
||
self.budget = MODEL_MAX_TOKENS
|
||
|
||
def shrink(self) -> bool:
|
||
"""换成小额度的模型。已经换过、没有小的，返回 False。"""
|
||
if self._small is None or self.model is self._small:
|
||
return False
|
||
self.model, self.budget = self._small, MODEL_FALLBACK_MAX_TOKENS
|
||
return True
|
||
|
||
def with_structured_output(self, schema: Any, **kwargs: Any) -> Any:
|
||
return self.model.with_structured_output(schema, **kwargs)
|
||
|
||
async def ainvoke(self, messages: list[Any]) -> Any:
|
||
return await self.model.ainvoke(messages)
|
||
|
||
|
||
async def resolve_draft_model(session: AsyncSession) -> tuple[Any, str]:
|
||
"""(模型, 模型 id)：用哪个接入、哪个模型按 data/draft_model.py 的顺序（设置里的起草模型 > 助手的模型 > 默认接入），
|
||
和按配方导入的 AI 起草共用。没有可用的模型抛 CatalogModelUnavailable。
|
||
|
||
不关思考（spec 里不传 thinking，按接入默认）、温度 0、额度 MODEL_MAX_TOKENS，服务方嫌大时退回
|
||
MODEL_FALLBACK_MAX_TOKENS（DraftModel）。单次调用的时限 MODEL_TIMEOUT_S 也交给 SDK，免得它先按全局的 5 分钟断开。
|
||
SDK 自己不重试（max_retries=0）：429、5xx、网络错误由起草引擎退避重试（最多 MODEL_RETRIES 次）；超时当作这一段
|
||
太大，拆小再问（data/catalog_draft.py），不原样重试。不然两层叠起来一段最多发 9 次请求，报错却写「已重试 2 次」，
|
||
网关正在限流时还会放大流量。
|
||
只建模型对象，不发请求。
|
||
|
||
和 recipe_ai.resolve_draft_model 一样不用 get_chat_model：它在没有接入时静默退回演示模型，拿演示模型
|
||
起草出来的目录会被当成真的写进库里。
|
||
"""
|
||
from app.data.draft_model import DraftModelUnavailable, draft_unavailable, resolve_draft_provider
|
||
from app.providers.factory import ModelSpec, ProviderNotConfigured, build_chat_model
|
||
|
||
try:
|
||
provider, choice = await resolve_draft_provider(
|
||
session, none_reason="未配置模型接入，无法由模型起草数据目录。请到「设置 → 模型接入」添加",
|
||
mock_reason="当前只有演示用的模型接入，无法用于起草数据目录。请到「设置 → 模型接入」添加真实的模型接入")
|
||
except DraftModelUnavailable as e:
|
||
raise CatalogModelUnavailable(str(e)) from e
|
||
spec = ModelSpec(provider=choice.provider, model=choice.model, max_tokens=MODEL_MAX_TOKENS, temperature=0,
|
||
timeout=MODEL_TIMEOUT_S, max_retries=0)
|
||
try:
|
||
big = build_chat_model(provider, spec)
|
||
small = build_chat_model(provider, spec.model_copy(update={"max_tokens": MODEL_FALLBACK_MAX_TOKENS}))
|
||
except ProviderNotConfigured as e:
|
||
raise CatalogModelUnavailable(draft_unavailable(e, choice.origin)) from e
|
||
model_id = spec.model or provider.default_model or ""
|
||
return DraftModel(big, small, model_id), model_id
|
||
|
||
|
||
def _confirmed_only(notes: Mapping[str, Any] | None) -> dict[str, Any]:
|
||
return _assemble({k: v for k, v in _slots(notes).items() if v.get("status") in ("confirmed", "verified")})
|
||
|
||
|
||
#: 模型给了这张表、但一项可用内容都没有（只有表名的空壳，或者给的值全不合规）：这张表记模型失败，不算起草成功。
|
||
#: 不然界面只看到「新增 0 项」，会说成「没有变化」
|
||
MODEL_EMPTY_REASON = "模型没有给出这张表的可用内容"
|
||
|
||
|
||
def _model_tables(raw: Any) -> list[dict[str, Any]] | None:
|
||
"""模型的回复 → 每张表一项的列表。结构化输出给的对象、正文里的 JSON 都认；对不上格式返回 None。
|
||
|
||
实测模型有时不带 tables 外壳、只回单个表对象（{"table": "x", "label": …}），也认成一张表。
|
||
"""
|
||
if hasattr(raw, "model_dump"):
|
||
raw = raw.model_dump()
|
||
if isinstance(raw, str):
|
||
text = raw.strip()
|
||
start = min((i for i in (text.find("{"), text.find("[")) if i >= 0), default=-1)
|
||
if start < 0:
|
||
return None
|
||
end = text.rfind("}" if text[start] == "{" else "]")
|
||
try:
|
||
raw = json.loads(text[start:end + 1])
|
||
except ValueError:
|
||
return None
|
||
if isinstance(raw, dict):
|
||
raw = [raw] if "tables" not in raw and raw.get("table") else raw.get("tables")
|
||
if not isinstance(raw, list):
|
||
return None
|
||
return [t for t in raw if isinstance(t, dict)]
|
||
|
||
|
||
def _clean_text(value: Any, limit: int = _TEXT_MAX) -> str | None:
|
||
if not isinstance(value, str):
|
||
return None
|
||
text = " ".join(value.split())
|
||
return text if text and len(text) <= limit else None
|
||
|
||
|
||
#: 模型给的依据（有效行过滤、去重规则的 reason）写进这一项的 note
|
||
FACT_REASON_NOTE = "依据：{reason}"
|
||
#: 有效行过滤按数据源的写法整理（列名加了引号）以后超过目录里这一项的长度上限
|
||
FACT_FILTER_TOO_LONG = "{label}按数据源的写法整理后超过 {limit} 字"
|
||
|
||
|
||
def _model_fact(raw: Any, key: str) -> tuple[str, str | None] | None:
|
||
"""模型给的有效行过滤、去重规则 → (取值, 依据)。约定是对象（{condition 或 rule, reason}），只写了一段文字的也认；
|
||
取值不是非空文字的不要。"""
|
||
if isinstance(raw, str):
|
||
text, reason = raw, None
|
||
elif isinstance(raw, Mapping):
|
||
text, reason = raw.get(key), raw.get("reason")
|
||
if text is None:
|
||
text = raw.get("value")
|
||
else:
|
||
return None
|
||
if not isinstance(text, str) or not text.strip():
|
||
return None
|
||
return text.strip(), _clean_text(reason)
|
||
|
||
|
||
def _fact_item(value: str, reason: str | None) -> dict[str, Any]:
|
||
return make_item(value, "llm", note=FACT_REASON_NOTE.format(reason=reason) if reason else None)
|
||
|
||
|
||
def _model_facts(entry: Mapping[str, Any], meta: Mapping[str, Any], *, kind: str | None, table: str | None,
|
||
dropped: list[tuple[str, str]] | None = None) -> dict[str, Any]:
|
||
"""模型提议的有效行过滤、去重规则（llm / proposed，依据写进 note）。
|
||
|
||
有效行过滤按数据源的方言解析成一个条件、只能用这张表的列（sqlcheck.parse_valid_filter），不过就丢掉、不算这张表
|
||
失败：服务端日志记一条，dropped 给了就记下 (原因, 模型写的条件)，起草引擎把它写进这张表的日志（起草任务逐表的
|
||
log）。存的是 sqlcheck.stored_valid_filter 整理过的写法：原文照旧，只把列换成表结构里的真名、不带表名，按数据源的
|
||
需要加引号——剖析核对的、SQL 检查让模型照着加的都是这一条。去重规则是一句话，同文字项的规矩。"""
|
||
from app.data import sqlcheck
|
||
|
||
out: dict[str, Any] = {}
|
||
found = _model_fact(entry.get("valid_filter"), "condition")
|
||
if found is not None:
|
||
text, reason = found
|
||
parsed = sqlcheck.parse_valid_filter(text, meta, kind=kind, table=table)
|
||
problem = parsed.problem
|
||
if problem is None:
|
||
stored = sqlcheck.stored_valid_filter(parsed, kind)
|
||
if _text_ok(stored):
|
||
out["valid_filter"] = _fact_item(stored, reason)
|
||
else:
|
||
# 加了引号以后超过上限：写进去会让整张表写入失败（validate_notes），不收
|
||
problem = FACT_FILTER_TOO_LONG.format(label=TABLE_FIELD_LABEL["valid_filter"], limit=_TEXT_MAX)
|
||
if problem is not None:
|
||
import logging
|
||
|
||
logging.getLogger(__name__).info("起草数据目录：表 %s 的有效行过滤没有通过校验，已丢掉：%s（%s）",
|
||
table or meta.get("qualified") or entry.get("table"), problem, text[:200])
|
||
if dropped is not None:
|
||
dropped.append((problem, text))
|
||
found = _model_fact(entry.get("dedup"), "rule")
|
||
if found is not None and (text := _clean_text(found[0])) is not None:
|
||
out["dedup"] = _fact_item(text, found[1])
|
||
return out
|
||
|
||
|
||
def _from_model(entry: Mapping[str, Any], meta: Mapping[str, Any], *, system: bool, source_kind: str | None = None,
|
||
table: str | None = None, dropped: list[tuple[str, str]] | None = None) -> dict[str, Any]:
|
||
"""模型给的一张表 → 目录项（llm / proposed）。不合规的值整项丢掉，不硬塞：列名对不上表结构的、
|
||
表类型和度量类型不在取值里的、业务主键里有不存在的列的、看起来是计算公式的（_formula_like，公式进口径卡）。
|
||
该是文字的地方写成了数组、对象（列名、表类型、业务日期的列、度量类型……）同样丢掉，不抛异常：实测见过把列名
|
||
写成数组的，以前在这里抛 TypeError，整张表记出错。导入表格的源，说明已经覆盖的字段也丢掉。
|
||
|
||
有效行过滤、去重规则见 _model_facts：source_kind 是数据源类型（按它的方言解析条件，不认识的类型不收有效行过滤），
|
||
table 是表名（条件里的列可以带这张表的表名），dropped 收没通过校验的有效行过滤 (原因, 模型写的条件)。"""
|
||
columns = {c["name"]: c for c in meta.get("columns") or []}
|
||
notes: dict[str, Any] = {}
|
||
table_has_system_note = system and bool((meta.get("comment") or "").strip())
|
||
for name in ("label", "grain"):
|
||
if name == "grain" and table_has_system_note:
|
||
continue
|
||
if (text := _clean_text(entry.get(name))) is not None and not _formula_like(("t", name), text):
|
||
notes[name] = make_item(text, "llm")
|
||
kind = entry.get("kind")
|
||
if isinstance(kind, str) and kind in TABLE_KINDS:
|
||
notes["kind"] = make_item(kind, "llm")
|
||
keys = entry.get("keys")
|
||
if _str_list_ok(keys) and all(k in columns for k in keys):
|
||
notes["keys"] = make_item(list(dict.fromkeys(keys)), "llm")
|
||
date = entry.get("business_date")
|
||
if isinstance(date, dict) and isinstance(date.get("column"), str) and date["column"] in columns:
|
||
value = {"column": date["column"]}
|
||
for k in ("rule", "timezone"):
|
||
if (text := _clean_text(date.get(k))) is not None:
|
||
value[k] = text
|
||
notes["business_date"] = make_item(value, "llm")
|
||
notes.update(_model_facts(entry, meta, kind=source_kind, table=table, dropped=dropped))
|
||
out_cols: dict[str, dict[str, Any]] = {}
|
||
listed = entry.get("columns")
|
||
for col in listed if isinstance(listed, list) else []:
|
||
if not isinstance(col, dict) or not isinstance(col.get("name"), str) or col["name"] not in columns:
|
||
continue
|
||
name = col["name"]
|
||
has_system_note = system and bool((columns[name].get("comment") or "").strip())
|
||
items: dict[str, Any] = {}
|
||
for field_name, limit in (("label", _TEXT_MAX), ("meaning", _TEXT_MAX), ("unit", 50)):
|
||
if has_system_note and field_name in ("meaning", "unit"):
|
||
continue
|
||
text = _clean_text(col.get(field_name), limit)
|
||
if text is not None and not _formula_like(("c", name, field_name), text):
|
||
items[field_name] = make_item(text, "llm")
|
||
measure = col.get("measure")
|
||
if isinstance(measure, str) and measure in COLUMN_MEASURES:
|
||
items["measure"] = make_item(measure, "llm")
|
||
if items:
|
||
out_cols[name] = items
|
||
if out_cols:
|
||
notes["columns"] = out_cols
|
||
return notes
|
||
|
||
|
||
async def draft_with_model(model: Any, source: Any, tables: list[str], *,
|
||
existing: Mapping[str, Mapping[str, Any]] | None = None,
|
||
guidance: str | None = None, note: str | None = None) -> dict[str, TableDraft | str]:
|
||
"""用模型起草这些表的中文名、粒度、表类型、业务主键、业务日期和每列的中文名、含义、单位、度量类型。
|
||
|
||
实现在 data/catalog_draft.py（分段、按失败原因处理、捡回被截断的部分）；这里是给老调用方的形状：返回
|
||
{表名: TableDraft 或失败原因}。全部写出来的 covered 是 {"llm"}；只写出一部分的仍是 TableDraft，covered 为空、
|
||
error 写明哪部分没写出来；一项都没写出来的是失败原因。表结构里没有的表不在结果里。
|
||
|
||
model 要有 with_structured_output(schema) 或 ainvoke(messages)（测试注入假模型）。交给模型的只有表结构和使用者
|
||
补充的背景（数据源说明、guidance 起草要求、note 本次说明），不发任何数据值；existing 里已确认、有确证的项作为
|
||
「以此为准」的背景一起交过去。
|
||
"""
|
||
from app.data import catalog_draft
|
||
|
||
outcomes = await catalog_draft.run_model_draft(
|
||
model, source, tables, existing=existing, background=catalog_draft.Background(guidance=guidance, note=note))
|
||
out: dict[str, TableDraft | str] = {}
|
||
for name, outcome in outcomes.items():
|
||
if outcome.status == "failed":
|
||
out[name] = outcome.error or MODEL_EMPTY_REASON
|
||
else:
|
||
out[name] = TableDraft(notes=outcome.notes, covered=frozenset({"llm"}) if outcome.status == "ok"
|
||
else frozenset(), error=outcome.error)
|
||
return out
|
||
|
||
|
||
# ==========================================================================
|
||
# 起草并写入
|
||
# ==========================================================================
|
||
|
||
|
||
@dataclass
|
||
class TableDraftResult:
|
||
"""一张表这次起草的结果。error：这张表没起草（表结构里没有、写入一直冲突）；model_error：只是模型那部分失败，
|
||
或者只写出了一部分（哪部分没写出来、为什么）。"""
|
||
|
||
table: str
|
||
added: int = 0
|
||
updated: int = 0
|
||
removed: int = 0
|
||
version: int = 0
|
||
error: str | None = None
|
||
model_error: str | None = None
|
||
#: 模型给了这张表几项可用内容（并入目录之前，按项数）。没用模型、模型这部分一项都没写出来时为 None。
|
||
#: 大于 0 而新增、更新、删除都是 0，才是「模型给了内容、只是和现有目录一致」
|
||
model_items: int | None = None
|
||
#: ok 写入了（用模型时各段都写出来了）、partial 模型只写出一部分、failed 没写入或模型一段都没写出来、
|
||
#: skipped 表结构里没有这张表
|
||
status: str = "ok"
|
||
#: 模型分几段起草（不用模型时为 None）
|
||
parts_total: int | None = None
|
||
#: 模型拿不准、留空了的列（catalog_draft.ModelOutcome.blank，按表结构的顺序），只留并入目录之后仍然没有中文名和
|
||
#: 含义的；表的状态不因此变
|
||
blank: list[str] = field(default_factory=list)
|
||
|
||
|
||
@dataclass
|
||
class DraftReport:
|
||
"""一次起草的结果：每张表各一项，以及模型用没用上。"""
|
||
|
||
tables: list[TableDraftResult] = field(default_factory=list)
|
||
#: 这次有没有调模型、调的是哪个
|
||
model_used: bool = False
|
||
model: str = ""
|
||
#: 模型整体用不了的原因（没有接入等）；单张表的模型失败记在 TableDraftResult.model_error
|
||
model_error: str | None = None
|
||
|
||
|
||
#: 表结构里没有要起草的表（被删了、改名了，或者名字写错了）
|
||
def missing_table_error(name: str) -> str:
|
||
return f"表结构里没有 {name}，请先重新探查结构"
|
||
|
||
|
||
#: 写入一直撞上别人刚改过（乐观锁重读重并三次仍冲突）
|
||
WRITE_CONFLICT_ERROR = "这张表的数据目录正被其他人修改，请稍后再起草"
|
||
|
||
|
||
async def write_draft(session: AsyncSession, source: Any, table: str, modeled: Any = None, *, at: str,
|
||
actor: str | None) -> TableDraftResult:
|
||
"""一张表的起草并入目录并写入：数据库注释、外键约束、命名推断照做，modeled（catalog_draft.ModelOutcome，
|
||
没用模型时为 None）有可用内容的再并上。同步起草和后台起草任务（每张表一结束就调）共用这一处。
|
||
|
||
- 并入已有目录按 merge_notes 的规则：人工确认、驳回过的项不动。内容没变不写、不升版本。
|
||
- 模型这次没给的项（留空、没通过校验）不删以前起草的；列已经不在表结构里的（业务主键、业务日期指着的列也算），
|
||
整张表起草完（各段都写出来的 ok、只写出一部分的 partial 都一样）就按完整覆盖的规则删掉：删的只是说已经不存在的
|
||
列的模型起草项，和这次写没写全无关。后台任务里宽表每写出一段就先并入一次（catalog_jobs.write_part，那一次不删
|
||
任何东西），这里是整张表的收尾。
|
||
- 模型留空的列（blank）按并入之后的目录再筛一遍：已经有中文名或含义的（以前起草的、库注释、起草进行中有人填的）
|
||
不算留空。
|
||
- 写入撞上别人刚改过（乐观锁）就重读重并，最多三次。
|
||
"""
|
||
result = TableDraftResult(table=table)
|
||
structure = draft_structure(source, table)
|
||
meta = ((getattr(source, "schema_cache", None) or {}).get("tables") or {}).get(table) or {}
|
||
columns = [str(c["name"]) for c in meta.get("columns") or [] if isinstance(c, dict) and c.get("name") is not None]
|
||
model_draft: TableDraft | None = None
|
||
if modeled is not None:
|
||
result.parts_total = modeled.parts_total
|
||
result.model_error = modeled.error
|
||
if modeled.items:
|
||
result.model_items = modeled.items
|
||
result.blank = list(getattr(modeled, "blank", None) or [])
|
||
model_draft = TableDraft(notes=modeled.notes, covered=frozenset({"llm"})
|
||
if modeled.status in ("ok", "partial") else frozenset())
|
||
for _attempt in range(3):
|
||
entry = await read_entry(session, source.id, table)
|
||
version = entry.version if entry else 0
|
||
merged, stats = merge_notes(entry.notes if entry else {}, structure.notes, covered=structure.covered, at=at,
|
||
columns=columns)
|
||
if model_draft is not None:
|
||
merged, more = merge_notes(merged, model_draft.notes, covered=model_draft.covered, at=at, columns=columns)
|
||
stats += more
|
||
result.added, result.updated, result.removed = stats.added, stats.updated, stats.removed
|
||
result.version = version
|
||
if entry is None and not merged:
|
||
break # 什么也没起草出来，不建空目录
|
||
try:
|
||
written = await write_entry(session, source.id, table, merged, if_version=version, actor=actor)
|
||
except CatalogConflict:
|
||
continue
|
||
result.version = written.version
|
||
break
|
||
else:
|
||
result.error = WRITE_CONFLICT_ERROR
|
||
result.added = result.updated = result.removed = 0
|
||
result.blank = []
|
||
if result.blank:
|
||
named = visible_notes(merged).get("columns") or {}
|
||
result.blank = [c for c in result.blank if not any(f in (named.get(c) or {}) for f in ("label", "meaning"))]
|
||
if result.error or (modeled is not None and modeled.status == "failed"):
|
||
result.status = "failed"
|
||
elif modeled is not None and modeled.status == "partial":
|
||
result.status = "partial"
|
||
return result
|
||
|
||
|
||
def pick_tables(cache: Mapping[str, Any], wanted: Iterable[str]) -> tuple[list[str], list[str]]:
|
||
"""要起草的表 → (表结构里的键，去重、按给的顺序；表结构里没有的原样名字)。"""
|
||
picked: list[str] = []
|
||
unknown: list[str] = []
|
||
for name in dict.fromkeys(str(t) for t in wanted):
|
||
key = resolve_table_name(cache, name)
|
||
if key is None:
|
||
unknown.append(name)
|
||
elif key not in picked:
|
||
picked.append(key)
|
||
return picked, unknown
|
||
|
||
|
||
async def default_tables(session: AsyncSession, source: Any) -> list[str]:
|
||
"""不指定表时起草哪些：按使用次数（table_usage）取前 DRAFT_DEFAULT_TABLES 张，次数相同按表结构里的顺序。"""
|
||
all_tables = (getattr(source, "schema_cache", None) or {}).get("tables") or {}
|
||
usage = await table_usage(session, source)
|
||
order = {name: i for i, name in enumerate(all_tables)}
|
||
return sorted(all_tables, key=lambda n: (-usage.get(n, 0), order[n]))[:DRAFT_DEFAULT_TABLES]
|
||
|
||
|
||
async def draft_catalog(session: AsyncSession, source: Any, *, tables: list[str] | None = None,
|
||
use_model: bool = False, model: Any = None, actor: str | None = None,
|
||
guidance: str | None = None, note: str | None = None) -> DraftReport:
|
||
"""起草这些表的目录并写入，同步完成（POST /catalog/draft；界面改用后台起草任务，见 data/catalog_jobs.py）。
|
||
|
||
- source：手工源的 DataSource，或上传源绑定当前快照的视图（table_versions.resolve_source）；按 source.id 存。
|
||
- tables 为空时按使用次数取前 DRAFT_DEFAULT_TABLES 张（default_tables）。
|
||
- 每张表：数据库注释、外键约束、命名推断照做；use_model 时再加模型起草（data/catalog_draft.py：分段、按失败
|
||
原因处理）。model 可注入（测试用假模型），不给就按设置解析（resolve_draft_model）；模型用不了、某一段失败，
|
||
都不影响其余来源照常写入。guidance 是数据源级的起草要求，note 是本次说明，和数据源说明一起交给模型。
|
||
- 并入、写入见 write_draft。
|
||
"""
|
||
cache = getattr(source, "schema_cache", None) or {}
|
||
report = DraftReport()
|
||
wanted = list(tables) if tables else await default_tables(session, source)
|
||
picked, unknown = pick_tables(cache, wanted)
|
||
for name in unknown:
|
||
report.tables.append(TableDraftResult(table=name, error=missing_table_error(name), status="skipped"))
|
||
|
||
outcomes: dict[str, Any] = {}
|
||
if use_model and picked:
|
||
try:
|
||
if model is None:
|
||
model, report.model = await resolve_draft_model(session)
|
||
else:
|
||
report.model = str(getattr(model, "model_name", "") or "")
|
||
except CatalogModelUnavailable as e:
|
||
report.model_error = str(e)
|
||
else:
|
||
from app.data import catalog_draft
|
||
|
||
report.model_used = True
|
||
existing = await read_catalog(session, source.id)
|
||
outcomes = await catalog_draft.run_model_draft(
|
||
model, source, picked, existing={t: e.notes for t, e in existing.items()},
|
||
background=catalog_draft.Background(guidance=guidance, note=note))
|
||
|
||
at = now_iso()
|
||
for table in picked:
|
||
report.tables.append(await write_draft(session, source, table, outcomes.get(table), at=at, actor=actor))
|
||
return report
|
||
|
||
|
||
# ==========================================================================
|
||
# 渲染：交给模型看的文本
|
||
# ==========================================================================
|
||
|
||
#: proposed 的项在模型可见文本里的标记
|
||
INFERRED_MARK = "（推断，未确认）"
|
||
KIND_LABEL = {"fact": "事实表", "dimension": "维度表", "snapshot": "快照表", "log": "日志表", "config": "配置表"}
|
||
MEASURE_LABEL = {"flow": "流量，可跨期加总", "stock": "存量，不能跨期加总", "ratio": "比率，不能直接加总",
|
||
"identifier": "标识", "status": "状态", "attribute": "属性"}
|
||
CARDINALITY_LABEL = {"many_to_one": "多对一", "one_to_one": "一对一", "one_to_many": "一对多"}
|
||
#: 单表目录的标题行
|
||
NOTES_HEADING = "数据目录（标「推断，未确认」的项是推断，使用前请核实）："
|
||
|
||
|
||
def _mark(item: Mapping[str, Any]) -> str:
|
||
return INFERRED_MARK if item.get("status") == "proposed" else ""
|
||
|
||
|
||
def _shown(item: Any, *, covered: bool) -> bool:
|
||
"""这一项给不给模型看：被驳回的不给；系统说明已经覆盖的，只给人工确认过的。"""
|
||
if not isinstance(item, dict) or item.get("status") == "rejected":
|
||
return False
|
||
return not covered or item.get("status") == "confirmed"
|
||
|
||
|
||
def _date_text(value: Mapping[str, Any]) -> str:
|
||
parts = [str(value.get("column") or "")]
|
||
if value.get("rule"):
|
||
parts.append(f"规则：{value['rule']}")
|
||
if value.get("timezone"):
|
||
parts.append(f"时区：{value['timezone']}")
|
||
return "；".join(parts)
|
||
|
||
|
||
def _codes_text(codes: Mapping[str, Any]) -> str:
|
||
"""码值对照的文字：有含义的写「1=有效」，含义待填写的单独说明——不能写成「1=」，模型会当成含义就是空。"""
|
||
filled = [f"{k}={v}" for k, v in codes.items() if str(v).strip()]
|
||
pending = [str(k) for k, v in codes.items() if not str(v).strip()]
|
||
if not pending:
|
||
return "、".join(filled)
|
||
if not filled:
|
||
return f"{'、'.join(pending)}（含义待填写）"
|
||
return f"{'、'.join(filled)}，{'、'.join(pending)} 的含义待填写"
|
||
|
||
|
||
def _relation_text(rel: Mapping[str, Any]) -> str:
|
||
left = ", ".join(rel.get("columns") or [])
|
||
right = ", ".join(f"{rel.get('to_table')}.{c}" for c in rel.get("to_columns") or [])
|
||
extra = []
|
||
if rel.get("cardinality") in CARDINALITY_LABEL:
|
||
extra.append(CARDINALITY_LABEL[rel["cardinality"]])
|
||
coverage = rel.get("coverage")
|
||
if isinstance(coverage, (int, float)) and not isinstance(coverage, bool):
|
||
extra.append(f"覆盖率 {coverage:.0%}")
|
||
return f"{left} → {right}" + (f"（{'，'.join(extra)}）" if extra else "") + _mark(rel)
|
||
|
||
|
||
def _notes_lines(notes: Mapping[str, Any] | None, *, meta: Mapping[str, Any] | None,
|
||
system_notes: bool) -> list[str]:
|
||
"""单表目录的正文行（不含标题），两格缩进起。"""
|
||
notes = notes or {}
|
||
meta = meta or {}
|
||
table_covered = system_notes and bool((meta.get("comment") or "").strip())
|
||
lines: list[str] = []
|
||
for name in TABLE_FIELDS:
|
||
item = notes.get(name)
|
||
if not _shown(item, covered=table_covered and name in ("grain", "description")):
|
||
continue
|
||
value = item["value"]
|
||
if name == "kind":
|
||
text = KIND_LABEL.get(value, str(value))
|
||
elif name == "keys":
|
||
text = ", ".join(value)
|
||
elif name == "business_date":
|
||
text = _date_text(value)
|
||
else:
|
||
text = str(value)
|
||
lines.append(f" {TABLE_FIELD_LABEL[name]}：{text}{_mark(item)}")
|
||
|
||
col_comment = {c.get("name"): bool((c.get("comment") or "").strip()) for c in meta.get("columns") or []}
|
||
order = [c.get("name") for c in meta.get("columns") or []]
|
||
columns = notes.get("columns") if isinstance(notes.get("columns"), dict) else {}
|
||
col_lines: list[str] = []
|
||
for col in [c for c in order if c in columns] + [c for c in columns if c not in order]:
|
||
items = columns[col] if isinstance(columns[col], dict) else {}
|
||
covered = system_notes and col_comment.get(col, False)
|
||
parts: list[str] = []
|
||
for name in COLUMN_FIELDS:
|
||
item = items.get(name)
|
||
if not _shown(item, covered=covered and name in ("meaning", "unit")):
|
||
continue
|
||
value = item["value"]
|
||
if name == "measure":
|
||
text = MEASURE_LABEL.get(value, str(value))
|
||
elif name == "codes":
|
||
text = _codes_text(value)
|
||
else:
|
||
text = str(value)
|
||
# 第一段是中文名（没有中文名时是含义），不加前缀；其余写明是什么
|
||
plain = not parts and name in ("label", "meaning")
|
||
parts.append(("" if plain else f"{COLUMN_FIELD_LABEL[name]}：") + text + _mark(item))
|
||
if parts:
|
||
col_lines.append(f" {col}：{'；'.join(parts)}")
|
||
if col_lines:
|
||
lines.append(" 列：")
|
||
lines += col_lines
|
||
|
||
relations = notes.get("relations") if isinstance(notes.get("relations"), list) else []
|
||
rel_lines = [f" {_relation_text(r)}" for r in relations if isinstance(r, dict) and r.get("status") != "rejected"]
|
||
if rel_lines:
|
||
lines.append(" 关联关系：")
|
||
lines += rel_lines
|
||
return lines
|
||
|
||
|
||
def render_table_notes(notes: Mapping[str, Any] | None, *, meta: Mapping[str, Any] | None = None,
|
||
system_notes: bool = False) -> str:
|
||
"""单表目录的完整版，给 db_schema 工具和助手挑表后补上下文用。没有可给模型看的内容时返回空串。
|
||
|
||
- 被驳回的项、关系不出现；proposed 的项标「推断，未确认」，有确证和人工确认的不标。
|
||
- meta 是这张表在 schema_cache 里的结构：列按表结构的顺序列出。
|
||
- system_notes（导入表格的源）：表和列已有系统生成的说明。表有说明时，粒度、说明只在人工确认过时追加；
|
||
列有说明时，含义、单位同理；其余的项（中文名、表类型、业务主键、度量类型、码值、关系……）说明里不写，
|
||
照常追加。
|
||
"""
|
||
lines = _notes_lines(notes, meta=meta, system_notes=system_notes)
|
||
return "\n".join([NOTES_HEADING, *lines]) if lines else ""
|
||
|
||
|
||
def render_table_index(schema_cache: Mapping[str, Any] | None, notes_by_table: Mapping[str, Mapping[str, Any]], *,
|
||
tables: Iterable[str] | None = None) -> str:
|
||
"""紧凑的表目录，每张表一行：表名｜中文名｜粒度。给助手按任务挑表用。
|
||
|
||
表名用全名（模型照着写 SQL）；中文名或粒度是推断的，行尾标「推断，未确认」。没有目录的表只写表名。
|
||
tables 给了就只列这些（按给的顺序），否则按表结构的顺序列全部。
|
||
"""
|
||
all_tables = (schema_cache or {}).get("tables") or {}
|
||
lines = []
|
||
for name in (list(tables) if tables is not None else list(all_tables)):
|
||
meta = all_tables.get(name)
|
||
if not isinstance(meta, dict):
|
||
continue
|
||
notes = notes_by_table.get(name) or {}
|
||
label = notes.get("label") if _shown(notes.get("label"), covered=False) else None
|
||
grain = notes.get("grain") if _shown(notes.get("grain"), covered=False) else None
|
||
parts = [str(meta.get("qualified") or name)]
|
||
if label:
|
||
parts.append(str(label["value"]))
|
||
if grain:
|
||
parts.append(str(grain["value"]) if label else f"粒度：{grain['value']}")
|
||
mark = INFERRED_MARK if any(i and i.get("status") == "proposed" for i in (label, grain)) else ""
|
||
lines.append("｜".join(parts) + mark)
|
||
return "\n".join(lines)
|
||
|
||
|
||
# ==========================================================================
|
||
# 关系图
|
||
# ==========================================================================
|
||
|
||
_FLIP = {"many_to_one": "one_to_many", "one_to_many": "many_to_one", "one_to_one": "one_to_one"}
|
||
|
||
|
||
@dataclass(frozen=True)
|
||
class JoinEdge:
|
||
"""关系图里的一条有向边：从 from_table 的 from_columns 连到 to_table 的 to_columns。
|
||
|
||
每条关系在图里有正反两条边；cardinality 是从 from_table 看过去的基数。cardinality_checked：基数是数据剖析
|
||
用数据核实的（关系上的同名字段），不是按表结构推的。
|
||
"""
|
||
|
||
from_table: str
|
||
from_columns: tuple[str, ...]
|
||
to_table: str
|
||
to_columns: tuple[str, ...]
|
||
relation_id: str
|
||
cardinality: str | None
|
||
source: str
|
||
status: str
|
||
cardinality_checked: bool = False
|
||
|
||
def reversed(self) -> "JoinEdge":
|
||
return JoinEdge(self.to_table, self.to_columns, self.from_table, self.from_columns, self.relation_id,
|
||
_FLIP.get(self.cardinality or ""), self.source, self.status, self.cardinality_checked)
|
||
|
||
def condition(self) -> str:
|
||
"""连接条件：visits.id = channel_visits.visit_id（多列用 AND 连接）。"""
|
||
return " AND ".join(f"{self.from_table}.{a} = {self.to_table}.{b}"
|
||
for a, b in zip(self.from_columns, self.to_columns))
|
||
|
||
|
||
def relation_graph(notes_by_table: Mapping[str, Mapping[str, Any]], *,
|
||
schema_cache: Mapping[str, Any] | None = None) -> dict[str, list[JoinEdge]]:
|
||
"""邻接表 {表: [从这张表出发的边]}，每条关系正反各一条边；被驳回的关系不进图，自己连自己的也不进。
|
||
|
||
schema_cache 给了的话，目录里没有的关系按表结构现推（外键约束 + 命名推断）补进来：助手挑表时不必等每张表
|
||
都起草过，只做过部分注释（目录里一条关系都没记）的表也不会丢掉外键关系——所以不能只给「没有目录的表」现推。
|
||
目录里已有的关系（含驳回的）以目录为准：编号由两端的表和列算出（relation_id，含本表表名），目录里驳回过的
|
||
编号就不再现推。这要求「去掉一条推断出来的关系」落成驳回而不是删除（apply_human_edit），删掉就留不下编号，
|
||
下次又被现推回来。
|
||
"""
|
||
rels: dict[str, tuple[str, Mapping[str, Any]]] = {}
|
||
rejected: set[str] = set()
|
||
for table, notes in notes_by_table.items():
|
||
relations = (notes or {}).get("relations")
|
||
for rel in relations if isinstance(relations, list) else []:
|
||
if not isinstance(rel, dict) or not rel.get("id"):
|
||
continue
|
||
if rel.get("status") == "rejected":
|
||
rejected.add(rel["id"])
|
||
else:
|
||
rels.setdefault(rel["id"], (table, rel))
|
||
if schema_cache:
|
||
all_tables = schema_cache.get("tables") or {}
|
||
index = _name_index(all_tables)
|
||
for table in all_tables:
|
||
inferred = (fk_relations(schema_cache, table) or []) + infer_name_relations(schema_cache, table,
|
||
_index=index)
|
||
for rel in inferred:
|
||
if rel["id"] not in rels and rel["id"] not in rejected:
|
||
rels[rel["id"]] = (table, rel)
|
||
graph: dict[str, list[JoinEdge]] = {}
|
||
for rid, (table, rel) in rels.items():
|
||
if rel.get("to_table") == table:
|
||
continue
|
||
edge = JoinEdge(table, tuple(rel.get("columns") or ()), str(rel.get("to_table")),
|
||
tuple(rel.get("to_columns") or ()), rid, rel.get("cardinality"), str(rel.get("source")),
|
||
str(rel.get("status")), rel.get("cardinality_checked") is True)
|
||
graph.setdefault(edge.from_table, []).append(edge)
|
||
graph.setdefault(edge.to_table, []).append(edge.reversed())
|
||
return graph
|
||
|
||
|
||
def join_paths(graph: Mapping[str, list[JoinEdge]], start: str, end: str, *,
|
||
max_hops: int = 2) -> list[tuple[JoinEdge, ...]]:
|
||
"""两张表之间不超过 max_hops 跳（最多 2）的连接路径，短的在前，同样长的推断边少的在前。"""
|
||
paths: list[tuple[JoinEdge, ...]] = [(e,) for e in graph.get(start, []) if e.to_table == end]
|
||
if max_hops >= 2:
|
||
for first in graph.get(start, []):
|
||
mid = first.to_table
|
||
if mid in (start, end):
|
||
continue
|
||
paths += [(first, second) for second in graph.get(mid, []) if second.to_table == end]
|
||
return sorted(paths, key=lambda p: (len(p), sum(e.status == "proposed" for e in p)))
|
||
|
||
|
||
# ==========================================================================
|
||
# 使用次数
|
||
# ==========================================================================
|
||
|
||
#: 数据源查询工具存查询快照用的工件类型（tools/datasource.py）
|
||
QUERY_SNAPSHOT_KIND = "query_snapshot"
|
||
|
||
#: 老的查询快照引用（meta 里没记源和表名）读过一次的结果：{工件 id: (源名, 表名)}。工件内容按哈希寻址、
|
||
#: 永不改变，缓存不会过期
|
||
_LEGACY_QUERY_TABLES: dict[str, tuple[str | None, tuple[str, ...]]] = {}
|
||
|
||
|
||
def _load_artifact(artifact_id: str) -> Any:
|
||
from app.core.artifact_store import load
|
||
|
||
return load(artifact_id)
|
||
|
||
|
||
def _legacy_query(artifact_id: str) -> tuple[str | None, tuple[str, ...]]:
|
||
if artifact_id not in _LEGACY_QUERY_TABLES:
|
||
from app.engine.evidence import sql_tables
|
||
|
||
content = _load_artifact(artifact_id)
|
||
if isinstance(content, dict):
|
||
found = (content.get("source"), tuple(sql_tables(str(content.get("sql") or ""))))
|
||
else:
|
||
found = (None, ())
|
||
_LEGACY_QUERY_TABLES[artifact_id] = found
|
||
return _LEGACY_QUERY_TABLES[artifact_id]
|
||
|
||
|
||
def query_snapshot_meta(source: Any, sql: str) -> dict[str, Any]:
|
||
"""查询快照工件引用的 meta：源 id、源名、SQL 里的表名。数据源查询工具存快照时写进去，table_usage 据此计数。
|
||
|
||
表名的取法和证据台账一样（evidence.sql_tables：FROM / JOIN 后面的表，去掉注释和字符串）。meta 只在
|
||
工件引用表里，不进工件内容：查询快照的内容哈希不变。不抛异常：它和查询快照在同一个 try 里，
|
||
这里出错会让快照存不下，证据就断了。
|
||
"""
|
||
from app.engine.evidence import sql_tables
|
||
|
||
try:
|
||
tables = sql_tables(sql or "")
|
||
except Exception: # noqa: BLE001 - 解析不了就当没用到表，只影响使用次数
|
||
tables = []
|
||
return {"source_id": getattr(source, "id", None), "source": getattr(source, "name", None), "tables": tables}
|
||
|
||
|
||
async def query_snapshot_tables(session: AsyncSession, source: Any) -> list[tuple[str, frozenset[str]]]:
|
||
"""这个源上属于运行的每一行查询快照引用：(运行 id, 这条查询用到的表——schema_cache 的表名)，没对上任何表的不收。
|
||
|
||
使用次数（table_usage）和「这张表被哪些运行用过」（data/catalog_review.py）共用这一份取法：数据源查询工具每次成功
|
||
查询都存一份查询快照工件（tools/datasource.py），工件引用表 artifacts 里按 (内容哈希, 运行) 各记一行；只收属于某次运行
|
||
（runs 里有这次运行）、属于这个源的行，工具库里的试用（不属于任何运行）不算。
|
||
|
||
表名在查询当时就记进了引用的 meta（query_snapshot_meta），这里只读 artifacts 一张表；升级前的老引用没有 meta，退回读
|
||
工件内容里的源名和 SQL，读过的按工件 id 缓存（内容永不改变）。SQL 里写的表名去掉 schema 前缀后按 name_key（只把
|
||
ASCII 字母转小写，和 SQLite 比较标识符的口径一致）对到表结构上，对不上的不计。
|
||
"""
|
||
rows = (await session.execute(
|
||
select(Artifact.id, Artifact.meta, Artifact.run_id).join(Run, Run.id == Artifact.run_id)
|
||
.where(Artifact.kind == QUERY_SNAPSHOT_KIND)
|
||
)).all()
|
||
tables = (getattr(source, "schema_cache", None) or {}).get("tables") or {}
|
||
lookup: dict[str, str] = {}
|
||
for name in tables:
|
||
lookup.setdefault(name_key(name), name)
|
||
out: list[tuple[str, frozenset[str]]] = []
|
||
for artifact_id, meta, run_id in rows:
|
||
meta = meta if isinstance(meta, dict) else {}
|
||
if isinstance(meta.get("tables"), list):
|
||
source_id, source_name, names = meta.get("source_id"), meta.get("source"), meta["tables"]
|
||
else:
|
||
source_id = None
|
||
source_name, names = _legacy_query(str(artifact_id))
|
||
if source_id is not None:
|
||
if source_id != source.id:
|
||
continue
|
||
elif source_name != source.name:
|
||
continue
|
||
hit = frozenset(t for t in (lookup.get(name_key(str(n).rsplit(".", 1)[-1])) for n in names) if t is not None)
|
||
if hit:
|
||
out.append((str(run_id), hit))
|
||
return out
|
||
|
||
|
||
async def table_usage(session: AsyncSession, source: Any) -> dict[str, int]:
|
||
"""每张表被运行查询过的次数：{schema_cache 的表名: 次数}，没被查过的表不出现。
|
||
|
||
按查询快照引用的行数（query_snapshot_tables）：同一次运行里结果一模一样的重复查询只算一次，同一次运行里不同的查询
|
||
各算一次，工具库里的试用不算。
|
||
"""
|
||
counts: Counter[str] = Counter()
|
||
for _run, hit in await query_snapshot_tables(session, source):
|
||
counts.update(hit)
|
||
return dict(counts)
|
||
|
||
|
||
# ==========================================================================
|
||
# 冻结进证据
|
||
# ==========================================================================
|
||
|
||
|
||
def frozen_catalog(entries: Mapping[str, CatalogEntry], tables: Iterable[str]) -> dict[str, dict[str, Any]]:
|
||
"""要冻结进表结构快照的目录：{表名: {"version": 版本, "notes": 去掉驳回项的目录}}。
|
||
|
||
只收表结构快照里有的表（tables）；去掉驳回项以后什么都不剩的表不收。一张也没有时返回空 dict，
|
||
调用方据此不加这个键：没有目录的源，快照内容和以前一字不差。目录不变（版本和内容都不变）则返回值
|
||
不变，快照哈希也就不变。
|
||
|
||
被驳回的关系留下编号和状态（{"id", "status": "rejected"}，不放内容）：拿冻结的这份重建 SQL 检查器
|
||
（sqlcheck.frozen_checker）时，关系图（relation_graph）认得这些编号，按外键、命名现推的关系不会把驳回的推回来。
|
||
只有驳回关系的表也因此要冻结。visible_notes 照样把它们去掉，给人看、给模型看的内容不变。
|
||
"""
|
||
wanted = set(tables)
|
||
out: dict[str, dict[str, Any]] = {}
|
||
for name in sorted(entries):
|
||
if name not in wanted:
|
||
continue
|
||
notes = visible_notes(entries[name].notes)
|
||
rejected = [{"id": str(item["id"]), "status": "rejected"} for key, item in _slots(entries[name].notes).items()
|
||
if key[0] == "r" and item.get("status") == "rejected"]
|
||
if rejected:
|
||
notes = {**notes, "relations": [*(notes.get("relations") or []), *rejected]}
|
||
if notes:
|
||
out[name] = {"version": entries[name].version, "notes": notes}
|
||
return out
|
||
|
||
|
||
__all__ = [
|
||
"CARDINALITIES", "CARDINALITY_LABEL", "CATALOG_DRAFT_BACKGROUND_PROMPT", "CATALOG_DRAFT_PROMPT",
|
||
"CATALOG_DRAFT_PROMPT_LABELS", "CATALOG_DRAFT_PROMPT_SCHEMA", "CATALOG_DRAFT_SYSTEM", "CATALOG_DRAFT_TEXT_PROMPT",
|
||
"COLUMN_FIELDS", "COLUMN_FIELD_LABEL", "COLUMN_MEASURES", "CatalogConflict",
|
||
"CatalogEntry", "CatalogInvalid", "CatalogModelUnavailable", "CatalogPathError", "DRAFT_DEFAULT_TABLES",
|
||
"DraftModel", "DraftReport", "INFERRED_MARK", "ITEM_SOURCES", "ITEM_STATUSES", "JoinEdge", "KIND_LABEL",
|
||
"MEASURE_LABEL", "MODEL_BATCH_COLUMNS", "MODEL_BATCH_TABLES", "MODEL_CONCURRENCY", "MODEL_EMPTY_REASON",
|
||
"FACT_REASON_NOTE", "MODEL_FALLBACK_MAX_TOKENS", "MODEL_HALT_ON", "MODEL_HALT_WINDOW", "MODEL_MAX_TOKENS",
|
||
"MODEL_MIN_PART_COLUMNS", "MODEL_NOTICE_OFF", "MODEL_NOTICE_ON", "MODEL_NOTICE_WINDOW", "MODEL_PART_MAX_CALLS",
|
||
"MODEL_RETRIES", "MODEL_RETRY_DELAYS_S", "MODEL_SHRINK_AFTER", "MODEL_SPLIT_DEPTH", "MODEL_SPLIT_MIN_COLUMNS",
|
||
"MODEL_TABLE_GIVE_UP_AFTER", "MODEL_TIMEOUT_S", "MergeStats", "NEW_RELATION_PATH",
|
||
"PATCH_MAX_CHANGES", "REASON_MAX", "clip_reason",
|
||
"PROFILE_NOTE_PREFIX", "PROFILE_VERIFY_COVERAGE", "WRITE_CONFLICT_ERROR", "default_tables",
|
||
"missing_table_error", "pick_tables", "write_draft",
|
||
"PatchChange", "PatchPlan", "QUERY_SNAPSHOT_KIND", "REVIEW_ACTIONS", "TABLE_FIELDS", "TABLE_FIELD_LABEL",
|
||
"TABLE_KINDS", "TableDraft", "TableDraftResult", "UI_KIND_LABEL", "UI_MEASURE_LABEL", "apply_human_edit",
|
||
"apply_patch", "codes_complete", "comment_role", "describe_slot", "draft_catalog", "draft_structure",
|
||
"draft_with_model",
|
||
"fk_relations", "frozen_catalog", "infer_name_relations", "initial_status", "is_date_column", "is_profile_note",
|
||
"join_paths",
|
||
"make_item", "merge_notes", "name_words", "now_iso", "parse_path", "plan_patch", "profile_relation_holds",
|
||
"query_snapshot_meta", "read_catalog", "read_entry", "relation_graph", "relation_id", "render_table_index",
|
||
"render_table_notes", "resolve_draft_model", "resolve_table_name", "review_entry", "review_item", "same_notes",
|
||
"same_profile_note", "save_human_edit", "save_patch", "status_counts", "structure_relation_ids",
|
||
"system_notes_source", "table_usage", "unreviewed_status", "validate_notes", "visible_notes", "write_entry",
|
||
]
|