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ThearchyHelios
80fcf27732
复核发现（C-csv-sniff-any-text）：配方导入的扫描入口 scan_any 只看内容，不是 zip、不是 OLE、前 64KB 没有 NUL 就当 CSV 读，不看扩展名。企业系统常见的「HTML 表格冒充 .xls」、误传的文本文件，会被拆成一张叫「CSV」的工作表去 起草、核对；给已有 xlsx 配方传新一期时还会报找不到工作表、给出 rename_sheet 修复，都误导用户。 改法： - 和简单导入（tabular._CSV）一样按扩展名定：scan_any(原件, 文件名) 只把 .csv / .tsv（且内容是文字）按 CSV 读， 别的照旧交给 xlsx_scan 拒收。内容以「<」开头的（网页、Excel 2003 的 XML 表格，含带 BOM 的 UTF-8 / UTF-16）另给 一句「它其实是网页或 XML 格式……请用 Excel 打开后另存为 .xlsx 或 .csv」。扩展名是 CSV、内容却不是文字的（图片 改了扩展名）照实说；内容其实是 xlsx 的照工作簿读。 - .tsv 一律按制表符分隔（同 tabular）：每行逗号、制表符个数都一样时，csv.Sniffer 优先挑逗号，会把 TSV 拆错。 - 扫描时定下的分隔符记进工作表的 path（"csv:," / "csv:\t"），读格子（xlsx_cells.sheet_rows）用同一个，重放、 试运行不再各嗅各的；这一版之前只有「csv:」的照旧再嗅一次。 - Pipeline.scan 改成 (原件, 文件名)，recipe_imports 的四处调用都传上暂存区记下的文件名。 测试：test_csv_grid 加 .txt 的 CSV 内容拒收、四种网页 / XML 冒充 .xls 的拒收说法、.csv 扩展名的图片、TSV 按制表符 并且分隔符经扫描 JSON 往返后读格子照用、老暂存区的 path；改回只看内容回跑两条失败。
538 lines
29 KiB
Python
538 lines
29 KiB
Python
"""Excel 期 5（下一轮 03 细案 E）：列表按期累积、穿插的小计、表格对象起草、CSV 走配方。
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不连接口的部分：执行器、核对、静态校验、累积资格、并集物化、起草。夹具全是合成的通用名字（门店一、分区甲、
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订单 A001……），数字是手写的小数，手算得出。接口的端到端在 test_recipe_p5_e2e.py。
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"""
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from __future__ import annotations
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import copy
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import io
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import os
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import sqlite3
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import tempfile
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from pathlib import Path
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from typing import Any
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import pytest
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from openpyxl import Workbook
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from openpyxl.worksheet.table import Table
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from app.data import csv_grid, raw_store, recipe_checks, recipe_engine, recipe_suggest, table_versions, xlsx_cells
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from app.data import xlsx_scan
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from app.data.recipe import validate_recipe
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from app.data.recipe_accumulate import materialize_union
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from app.data.recipe_types import (
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LIST_PERIOD_END, LIST_PERIOD_START, SUBTOTAL_KEY, Recipe, UnionPart, accumulate_blockers, derive_tables,
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)
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def _book(rows: list[tuple[Any, ...]], *, sheet: str = "明细", top: list[tuple[str, Any]] | None = None,
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start: int = 1) -> bytes:
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wb = Workbook()
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ws = wb.active
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ws.title = sheet
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for ref, value in top or []:
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ws[ref] = value
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for r, row in enumerate(rows, start=start):
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for c, v in enumerate(row, start=1):
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if v is not None:
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ws.cell(r, c, v)
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buf = io.BytesIO()
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wb.save(buf)
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return buf.getvalue()
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def _run(raw: bytes, recipe: dict[str, Any], db: str | None = None, filename: str = "明细.xlsx", **kw: Any):
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scan = csv_grid.scan_any(raw, filename)
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return recipe_engine.execute(Recipe.model_validate(recipe), raw, filename, scan, db, **kw)
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def _rows(db: str, sql: str) -> list[tuple[Any, ...]]:
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conn = sqlite3.connect(db)
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try:
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return conn.execute(sql).fetchall()
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finally:
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conn.close()
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def _checks(db: str, ex: Any, recipe: dict[str, Any]) -> dict[str, Any]:
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return {c.id: c for c in recipe_checks.run_checks(db, ex, Recipe.model_validate(recipe))}
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def _list(columns: list[tuple[str, str]], *, table: str = "明细", sheet: str = "明细", context: bool = False,
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**block: Any) -> dict[str, Any]:
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out = {
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"recipe_format": "agentlab-recipe/2",
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"sheets": [{"id": "s1", "match": {"name": sheet},
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"context": [{"id": "统计期"}] if context else [],
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"blocks": [{"id": "列表1", "layout": "list", "table": table,
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"columns": [{"header": h, "name": h, "type": t} for h, t in columns], **block}]}],
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"tables": [{"name": table, "grain": []}],
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}
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return out
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# ==========================================================================
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# 穿插的小计
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# ==========================================================================
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STORES = [("地区", "门店", "金额", "数量"),
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("分区甲", "门店一", 100, 1), ("分区甲", "门店二", 200, 2), ("小计", None, 300, 3),
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("分区乙", "门店三", 150, 4), ("分区乙", "门店四", 150, 5), ("小计", None, 300, 9),
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("合计", None, 600, 12)]
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STORE_COLS = [("地区", "TEXT"), ("门店", "TEXT"), ("金额", "INTEGER"), ("数量", "INTEGER")]
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def _stores_recipe(**sub: Any) -> dict[str, Any]:
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return _list(STORE_COLS, rows={"total_row": {"label_column": "地区", "pick": "合计"},
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"subtotals": {"label_column": "地区", "pick": "小计", **sub}})
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def test_subtotal_rows_are_checked_against_their_group_and_kept_out_of_the_data(tmp_path):
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db = str(tmp_path / "s.db")
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recipe = _stores_recipe()
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ex = _run(_book(STORES), recipe, db)
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assert ex.ok, [p.message for p in ex.problems]
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# 只有 4 行明细进了数据；两行小计、一行合计都不在
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assert _rows(db, 'SELECT "门店", "金额" FROM "明细" ORDER BY rowid') == [
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("门店一", 100), ("门店二", 200), ("门店三", 150), ("门店四", 150)]
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subs = [d for d in ex.derived if d.segment == f"列表1{SUBTOTAL_KEY}"]
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assert [(d.cell, d.rowid_first, d.rowid_last) for d in subs] == [
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("明细!C4", 1, 2), ("明细!D4", 1, 2), ("明细!C7", 3, 4), ("明细!D7", 3, 4)]
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[excluded] = [x for x in ex.rows_excluded if x.reason == "subtotal"]
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assert excluded.rows == [[4, 4], [7, 7]] and excluded.anchor == "小计" and excluded.block == "列表1"
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checks = _checks(db, ex, recipe)
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assert checks["T1"].title == "合计行按列求和（块「列表1」）" and checks["T1"].status == "passed"
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assert checks["T2"].title == "小计行按各组明细求和（块「列表1」）" and checks["T2"].status == "passed"
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assert checks["T2"].checked == 4
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def test_a_wrong_subtotal_is_a_mismatch(tmp_path):
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rows = list(STORES)
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rows[6] = ("小计", None, 300, 10) # 4 + 5 ≠ 10
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db = str(tmp_path / "s.db")
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recipe = _stores_recipe()
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ex = _run(_book(rows), recipe, db)
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checks = _checks(db, ex, recipe)
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t2 = checks["T2"]
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assert t2.status == "mismatch" and t2.failed == 1 and t2.cells == ["明细!D7"]
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assert "按明细求和为 9" in t2.details[0]
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def test_group_column_scope_only_covers_the_rows_of_the_same_group(tmp_path):
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"""按组小计：紧挨在小计上面、分组列取值相同的那几行。小计行的标签写在「门店」列，分组按「地区」。
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同一份数据按「上一行小计之后的全部明细」核对就对不上（350 ≠ 50）。"""
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rows = [("地区", "门店", "金额"), ("分区甲", "门店一", 100), ("分区甲", "门店二", 200),
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("分区乙", "门店三", 50), ("分区乙", "小计", 50)]
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cols = [("地区", "TEXT"), ("门店", "TEXT"), ("金额", "INTEGER")]
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recipe = _list(cols, rows={"subtotals": {"label_column": "门店", "pick": "小计", "scope": "group_column",
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"group_column": "地区", "keep_as": "明细_小计"}})
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recipe["tables"].append({"name": "明细_小计", "kind": "reported_total"})
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db = str(tmp_path / "g.db")
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ex = _run(_book(rows), recipe, db)
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assert ex.ok, [p.message for p in ex.problems]
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assert _checks(db, ex, recipe)["T1"].status == "passed"
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assert _rows(db, 'SELECT * FROM "明细_小计"') == [("小计", "分区乙", 50)]
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assert [c.name for c in derive_tables(Recipe.model_validate(recipe))[0]["明细_小计"]] == ["小计项", "地区", "金额"]
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since = copy.deepcopy(recipe)
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since["sheets"][0]["blocks"][0]["rows"]["subtotals"].update(scope="since_previous", group_column=None)
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since["tables"][1]["name"] = "明细_小计"
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db2 = str(tmp_path / "g2.db")
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ex2 = _run(_book(rows), since, db2)
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assert _checks(db2, ex2, since)["T1"].status == "mismatch"
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def test_subtotal_validation():
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def problems(**sub: Any) -> list[str]:
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data = _stores_recipe(**sub)
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_, probs = validate_recipe(data, facts=None, origin="rules")
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return [p.code for p in probs]
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assert problems() == []
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assert "subtotal_group_missing" in problems(scope="group_column")
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assert "column_unknown" in problems(scope="group_column", group_column="城市")
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assert "subtotal_group_missing" in problems(group_column="地区")
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assert "period_literal" in problems(pick="2026小计")
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bad = _stores_recipe()
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bad["sheets"][0]["blocks"][0]["rows"]["subtotals"]["pick"] = "合计"
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assert "subtotal_pick_conflict" in [p.code for p in validate_recipe(bad, facts=None, origin="rules")[1]]
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# ==========================================================================
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# 列表按期累积：每一行属于哪一期
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# ==========================================================================
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PERIOD_CELL = ("A1", "统计时间：2026年8月1日至2026年8月31日")
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ORDERS = [("订单号", "下单日期", "金额"), ("A001", "2026-08-01", 120), ("A002", "2026-08-15", 80),
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("A003", "2026-08-31", 40)]
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ORDER_COLS = [("订单号", "TEXT"), ("下单日期", "DATE"), ("金额", "INTEGER")]
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def _orders(period: dict[str, Any], *, context: bool = True, grain: list[str] | None = None) -> dict[str, Any]:
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data = _list(ORDER_COLS, table="订单", context=context, period=period)
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data["tables"][0]["grain"] = grain if grain is not None else ["订单号"]
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return data
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def test_synthesized_period_columns_carry_this_periods_bounds(tmp_path):
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recipe = _orders({"synthesize": "统计期"}, grain=["订单号", LIST_PERIOD_START])
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cols = derive_tables(Recipe.model_validate(recipe))[0]["订单"]
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assert [(c.name, c.role) for c in cols][-2:] == [(LIST_PERIOD_START, "period"), (LIST_PERIOD_END, "period")]
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db = str(tmp_path / "p.db")
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ex = _run(_book(ORDERS, top=[PERIOD_CELL], start=3), recipe, db)
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assert ex.ok, [p.message for p in ex.problems]
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assert _rows(db, f'SELECT "订单号", "{LIST_PERIOD_START}", "{LIST_PERIOD_END}" FROM "订单" ORDER BY rowid') == [
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("A001", "2026-08-01", "2026-08-31"), ("A002", "2026-08-01", "2026-08-31"),
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("A003", "2026-08-01", "2026-08-31")]
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assert ex.table_hashes["订单"]
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# 统计期起止列没有格子来历：溯源只有表头推出来的三列
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assert set(ex.lineage["订单"]) == {"订单号", "下单日期", "金额"}
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# 干跑（不建库）同样走得通
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assert _run(_book(ORDERS, top=[PERIOD_CELL], start=3), recipe).ok
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def test_synthesized_period_with_a_human_period(tmp_path):
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import datetime as dt
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from app.data.recipe_types import PeriodInput
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recipe = _orders({"synthesize": "统计期"})
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raw = _book(ORDERS)
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assert {p.code for p in _run(raw, recipe).problems} == {"period_missing"}
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db = str(tmp_path / "h.db")
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ex = _run(raw, recipe, db, context_inputs={"统计期": PeriodInput(dt.date(2026, 8, 1), dt.date(2026, 8, 31))})
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assert ex.ok and _rows(db, f'SELECT DISTINCT "{LIST_PERIOD_START}" FROM "订单"') == [("2026-08-01",)]
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def test_rows_must_fall_inside_the_period_when_bound_to_a_date_column(tmp_path):
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recipe = _orders({"column": "下单日期"})
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db = str(tmp_path / "w.db")
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ex = _run(_book(ORDERS, top=[PERIOD_CELL], start=3), recipe, db)
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assert ex.ok
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d1 = _checks(db, ex, recipe)["D1"]
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assert d1.kind == "period_rows" and d1.status == "passed" and d1.checked == 3
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late = list(ORDERS) + [("A004", "2026-09-02", 10)]
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db2 = str(tmp_path / "w2.db")
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ex2 = _run(_book(late, top=[PERIOD_CELL], start=3), recipe, db2)
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d1 = _checks(db2, ex2, recipe)["D1"]
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assert d1.status == "mismatch" and d1.category == "structure" and d1.failed == 1
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assert d1.cells == ["明细!B7"] and "2026-08-01 至 2026-08-31" in d1.details[0]
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def test_list_period_validation():
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def codes(data: dict[str, Any]) -> list[str]:
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return [p.code for p in validate_recipe(data, facts=None, origin="rules")[1]]
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assert codes(_orders({"column": "下单日期"})) == []
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assert "list_period_invalid" in codes(_orders({"column": "金额"}))
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assert "column_unknown" in codes(_orders({"column": "付款日期"}))
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assert "list_period_invalid" in codes(_orders({"column": "下单日期", "synthesize": "统计期"}))
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assert "list_period_invalid" in codes(_orders({}))
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assert "covers_without_context" in codes(_orders({"synthesize": "统计期"}, context=False))
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clash = _list(ORDER_COLS + [(LIST_PERIOD_START, "TEXT")], table="订单", context=True,
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period={"synthesize": "统计期"})
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assert "name_collision" in codes(clash)
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def test_lists_become_eligible_for_accumulation_once_bound():
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unbound = Recipe.model_validate({**_list(ORDER_COLS, table="订单", context=True), "mode": "accumulate"})
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[p] = accumulate_blockers(unbound)
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assert "没有指定每一行属于哪一期" in p.message
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for period in ({"column": "下单日期"}, {"synthesize": "统计期"}):
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data = {**_orders(period), "mode": "accumulate"}
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assert accumulate_blockers(Recipe.model_validate(data)) == []
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assert validate_recipe(data, facts=None, origin="rules")[1] == []
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kept = {**_orders({"column": "下单日期"}), "mode": "accumulate"}
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kept["sheets"][0]["blocks"][0]["rows"] = {"total_row": {"label_column": "订单号", "pick": "合计",
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"keep_as": "订单_表内合计"}}
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kept["tables"].append({"name": "订单_表内合计", "grain": ["合计项"], "kind": "reported_total"})
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blockers = accumulate_blockers(Recipe.model_validate(kept))
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assert [p.path for p in blockers] == ["/tables/1"] and "合计行、小计行另存的表" in blockers[0].message
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def _built(raw: bytes, recipe: dict[str, Any], tag: str) -> tuple[str, Any]:
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folder = Path(tempfile.mkdtemp(prefix="p5-built-"))
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db = folder / f"{tag}.db"
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ex = _run(raw, recipe, str(db))
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assert ex.ok, [p.message for p in ex.problems]
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table_versions.settle_journal(db)
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return str(db), ex
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def _part(db: str, ex: Any, recipe: dict[str, Any], **kw: Any) -> UnionPart:
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return UnionPart(import_id=None, start=kw.get("start", ex.period.start), end=kw.get("end", ex.period.end),
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db_path=db, recipe=Recipe.model_validate(recipe), db_sha256=raw_store.sha256_file(db),
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table_hashes=dict(ex.table_hashes))
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@pytest.mark.parametrize("period", [{"column": "下单日期"}, {"synthesize": "统计期"}])
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def test_two_months_of_a_list_materialize_into_one_union(tmp_path, period):
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recipe = {**_orders(period), "mode": "accumulate"}
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aug = _built(_book(ORDERS, top=[PERIOD_CELL], start=3), recipe, "aug")
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sep_rows = [ORDERS[0], ("B001", "2026-09-03", 70), ("B002", "2026-09-30", 30)]
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sep = _built(_book(sep_rows, top=[("A1", "统计时间：2026年9月1日至2026年9月30日")], start=3), recipe, "sep")
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out = tmp_path / "u.db"
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report = materialize_union(out, target=Recipe.model_validate(recipe),
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parts=[_part(*aug, recipe), _part(*sep, recipe)])
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assert report.ok, [c.details for c in report.checks]
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assert report.rows == {"订单": 5}
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assert {c.id: c.status for c in report.checks} == {"U1": "passed", "U2": "passed", "U3": "passed"}
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assert report.checks[2].checked == 2
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# 登记的统计期和库里的对不上（把 8 月的库说成 9 月）：U3 拒收
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bad = materialize_union(tmp_path / "bad.db", target=Recipe.model_validate(recipe),
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parts=[_part(*aug, recipe, start="2026-09-01", end="2026-09-30")])
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u3 = next(c for c in bad.checks if c.id == "U3")
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assert not bad.ok and u3.status == "mismatch" and "第 1 期" in u3.details[0]
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def test_the_same_order_in_two_periods_is_a_union_key_conflict(tmp_path):
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"""明细跨期重复（同一订单两期都出现）按日期列分期时主键冲突，U2 拒收（细案风险条：语义要在配方里显式声明）。"""
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recipe = {**_orders({"synthesize": "统计期"}), "mode": "accumulate"}
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aug = _built(_book(ORDERS, top=[PERIOD_CELL], start=3), recipe, "aug2")
|
|
sep = _built(_book(ORDERS, top=[("A1", "统计时间：2026年9月1日至2026年9月30日")], start=3), recipe, "sep2")
|
|
report = materialize_union(tmp_path / "u.db", target=Recipe.model_validate(recipe),
|
|
parts=[_part(*aug, recipe), _part(*sep, recipe)])
|
|
u2 = next(c for c in report.checks if c.id == "U2")
|
|
assert not report.ok and u2.status == "mismatch"
|
|
# 主键带上统计期起就分得开：每月一份的快照式明细
|
|
keyed = {**_orders({"synthesize": "统计期"}, grain=["订单号", LIST_PERIOD_START]), "mode": "accumulate"}
|
|
aug = _built(_book(ORDERS, top=[PERIOD_CELL], start=3), keyed, "aug3")
|
|
sep = _built(_book(ORDERS, top=[("A1", "统计时间：2026年9月1日至2026年9月30日")], start=3), keyed, "sep3")
|
|
assert materialize_union(tmp_path / "k.db", target=Recipe.model_validate(keyed),
|
|
parts=[_part(*aug, keyed), _part(*sep, keyed)]).rows == {"订单": 6}
|
|
|
|
|
|
# ==========================================================================
|
|
# 起草：表格对象、穿插的小计、每一行属于哪一期的问题
|
|
# ==========================================================================
|
|
|
|
|
|
def _ok_validate(data, facts, origin):
|
|
from app.data.recipe import validate_recipe as v
|
|
|
|
return v(data, facts=facts, origin=origin)
|
|
|
|
|
|
def _draft(raw: bytes, filename: str = "明细.xlsx"):
|
|
scan = csv_grid.scan_any(raw, filename)
|
|
grids = {s.name: xlsx_cells.read_grid(raw, scan, s.name, max_rows=recipe_suggest.DRAFT_MAX_ROWS)
|
|
for s in scan.sheets if s.state == "visible" and s.nonempty}
|
|
|
|
def dry(recipe: Recipe):
|
|
return recipe_engine.execute(recipe, raw, filename, scan, None)
|
|
return recipe_suggest.draft(scan, grids, filename, validate=_ok_validate, dry_run=dry), scan, grids
|
|
|
|
|
|
def _table_book(*, totals: bool = True, name: str = "门店销售") -> bytes:
|
|
"""一个表格对象：B3:D7（表头、3 行明细、汇总行），表格上面有一行说明、右边有一个空格隔开的备注列。"""
|
|
wb = Workbook()
|
|
ws = wb.active
|
|
ws.title = "销售"
|
|
ws["B1"] = "门店销售明细"
|
|
rows = [("门店", "日期", "金额"), ("门店一", "2026-08-01", 10), ("门店二", "2026-08-02", 20),
|
|
(None, None, None), ("门店三", "2026-08-03", 30)]
|
|
if totals:
|
|
rows.append(("汇总", None, 60))
|
|
for r, row in enumerate(rows, start=3):
|
|
for c, v in enumerate(row, start=2):
|
|
if v is not None:
|
|
ws.cell(r, c, v)
|
|
t = Table(displayName=name, ref=f"B3:D{2 + len(rows)}")
|
|
if totals:
|
|
t.totalsRowCount = 1
|
|
ws.add_table(t)
|
|
buf = io.BytesIO()
|
|
wb.save(buf)
|
|
return buf.getvalue()
|
|
|
|
|
|
def test_a_table_object_is_drafted_as_a_list_without_ai():
|
|
raw = _table_book()
|
|
scan = xlsx_scan.scan(raw)
|
|
assert [(t.name, t.ref, t.totals_row_count) for t in scan.tables] == [("门店销售", "B3:D8", 1)]
|
|
draft, _, _ = _draft(raw)
|
|
assert draft.complete and draft.origin == "rules", draft.failures
|
|
[block] = draft.recipe["sheets"][0]["blocks"]
|
|
assert block["layout"] == "list" and block["table"] == "门店销售"
|
|
assert [c["header"] for c in block["columns"]] == ["门店", "日期", "金额"]
|
|
assert block["rows"]["total_row"] == {"label_column": "门店", "pick": "汇总", "keep_as": "门店销售_表内合计"}
|
|
assert block["rows"]["blank_rows"] == "skip"
|
|
# 锚点按表头文字，不记坐标
|
|
assert "B3" not in str(block)
|
|
|
|
|
|
def test_a_table_object_with_digits_in_its_name_falls_back_to_the_title():
|
|
draft, _, _ = _draft(_table_book(name="表1"))
|
|
assert draft.complete and draft.recipe["sheets"][0]["blocks"][0]["table"] == "门店销售明细"
|
|
|
|
|
|
def test_drafted_subtotals_run_and_verify(tmp_path):
|
|
raw = _book(STORES)
|
|
draft, scan, _ = _draft(raw)
|
|
assert draft.complete, draft.failures
|
|
block = draft.recipe["sheets"][0]["blocks"][0]
|
|
assert block["rows"]["subtotals"]["pick"] == "小计" and block["rows"]["total_row"]["pick"] == "合计"
|
|
db = str(tmp_path / "d.db")
|
|
recipe = Recipe.model_validate(draft.recipe)
|
|
ex = recipe_engine.execute(recipe, raw, "明细.xlsx", scan, db)
|
|
assert ex.ok and ex.tables[0].rows == 4
|
|
assert all(c.status == "passed" for c in recipe_checks.run_checks(db, ex, recipe) if c.kind == "column_sum")
|
|
|
|
|
|
def test_period_question_binds_the_list_and_switches_to_accumulation():
|
|
raw = _book(ORDERS, top=[PERIOD_CELL], start=3)
|
|
draft, _, grids = _draft(raw)
|
|
assert draft.complete, draft.failures
|
|
from app.data import recipe as R
|
|
|
|
recipe = draft.recipe
|
|
cards, questions = recipe_suggest.questions_for(recipe, draft.facts, grids)
|
|
q = next(q for q in questions if q.id == "q_list_period:列表1")
|
|
assert [o["value"] for o in q.options] == ["none", "column:下单日期", "synthesize"] and q.default == "none"
|
|
assert not any(q.id == "q_mode" for q in questions)
|
|
bound = R.apply_patch(recipe, q.effects["column:下单日期"])
|
|
assert bound["sheets"][0]["blocks"][0]["period"]["column"] == "下单日期" and bound["mode"] == "accumulate"
|
|
assert validate_recipe(bound, facts=None, origin="rules")[1] == []
|
|
assert R.apply_patch(recipe, q.effects["none"])["mode"] == "replace"
|
|
# 工作表没配统计期的，选了以后一并加上
|
|
plain = _book(ORDERS)
|
|
draft2, _, grids2 = _draft(plain)
|
|
assert draft2.recipe["sheets"][0]["context"] == []
|
|
_, qs = recipe_suggest.questions_for(draft2.recipe, draft2.facts, grids2)
|
|
q2 = next(q for q in qs if q.id == "q_list_period:列表1")
|
|
bound2 = R.apply_patch(draft2.recipe, q2.effects["synthesize"])
|
|
assert bound2["sheets"][0]["context"][0]["id"] == "统计期"
|
|
assert bound2["sheets"][0]["blocks"][0]["period"]["synthesize"] == "统计期"
|
|
assert accumulate_blockers(Recipe.model_validate(bound2)) == []
|
|
|
|
|
|
# ==========================================================================
|
|
# CSV
|
|
# ==========================================================================
|
|
|
|
|
|
def test_csv_drafts_a_list_and_the_engine_runs_it(tmp_path):
|
|
raw = ("订单号,下单日期,门店,金额\n"
|
|
"A001,2026-08-01,一号店,120\n"
|
|
"A002,2026-08-02,二号店,80.5\n"
|
|
"小计,,,200.5\n"
|
|
"A003,2026-08-03,一号店,1\n"
|
|
"合计,,,201.5\n").encode("gb18030")
|
|
draft, scan, _ = _draft(raw, "orders_2026-08.csv")
|
|
assert draft.complete and draft.origin == "rules", draft.failures
|
|
sheet = draft.recipe["sheets"][0]
|
|
assert sheet["match"]["name"] == csv_grid.CSV_SHEET
|
|
block = sheet["blocks"][0]
|
|
assert [c["type"] for c in block["columns"]] == ["TEXT", "DATE", "TEXT", "REAL"]
|
|
assert block["rows"]["subtotals"]["pick"] == "小计"
|
|
db = str(tmp_path / "c.db")
|
|
recipe = Recipe.model_validate(draft.recipe)
|
|
ex = recipe_engine.execute(recipe, raw, "orders_2026-08.csv", scan, db)
|
|
assert ex.ok and ex.tables[0].rows == 3
|
|
assert all(c.status == "passed" for c in recipe_checks.run_checks(db, ex, recipe) if c.kind == "column_sum")
|
|
# 回执的坐标照 Excel 打开这个 CSV 时的 A1 写
|
|
[excluded] = [x for x in ex.rows_excluded if x.reason == "subtotal"]
|
|
assert excluded.sheet == "CSV" and excluded.rows == [[4, 4]]
|
|
|
|
|
|
# ==========================================================================
|
|
# 没配小计时，像小计的行：照常导入、要人确认，带「改作小计核对」的修复按钮
|
|
# ==========================================================================
|
|
|
|
|
|
def test_a_subtotal_like_row_without_subtotals_is_flagged_and_fixable(tmp_path):
|
|
from app.data import recipe_confirm, recipe_fixes
|
|
from app.data.recipe import apply_patch
|
|
|
|
plain = _list(STORE_COLS, rows={"total_row": {"label_column": "地区", "pick": "合计"}})
|
|
ex = _run(_book(STORES), plain)
|
|
[p] = [p for p in ex.problems if p.code == "subtotal_suspect"]
|
|
assert p.category == "confirm" and p.fix == "declare_subtotals"
|
|
assert p.cells == ["明细!A4", "明细!A7"] and p.fix_args["pick"] == "小计" and p.fix_args["label_column"] == "地区"
|
|
assert ex.ok # 需确认类：照常导入，提交时勾确认项
|
|
full = Recipe.model_validate(plain).model_dump(mode="json")
|
|
[prop] = recipe_fixes.propose_fixes(full, [recipe_fixes.dataclasses.asdict(p)], [], None)
|
|
assert prop.kind == "declare_subtotals" and [o.value for o in prop.options] == ["check_only", "keep"]
|
|
res = recipe_fixes.fix_ops(full, prop, "check_only", None)
|
|
assert res.ok, res.problems
|
|
fixed = apply_patch(full, res.ops)
|
|
assert fixed["sheets"][0]["blocks"][0]["rows"]["subtotals"]["pick"] == "小计"
|
|
db = str(tmp_path / "f.db")
|
|
ex2 = _run(_book(STORES), fixed, db)
|
|
assert ex2.ok and not [p for p in ex2.problems if p.code == "subtotal_suspect"]
|
|
assert _checks(db, ex2, fixed)["T2"].status == "passed"
|
|
keep = apply_patch(full, recipe_fixes.fix_ops(full, prop, "keep", None).ops)
|
|
assert keep["tables"][-1] == {"name": "明细_小计", "grain": [], "kind": "reported_total", "units": {}, "note": ""}
|
|
assert validate_recipe(keep, facts=None, origin="rules")[1] == []
|
|
# 确认项：没改作小计核对就提交的，要勾「确实是数据」
|
|
items = recipe_confirm.confirm_items(recipe_confirm.ConfirmContext(kind="first", recipe=plain, extraction=ex,
|
|
checks=[]))
|
|
[item] = [i for i in items if i.id == "subtotal_suspect:列表1"]
|
|
assert item.required and "改作小计核对" in item.label
|
|
|
|
|
|
def test_ordinary_rows_starting_with_a_total_word_are_not_flagged():
|
|
"""首列以「累计」开头、别的文字列有字的是数据（「累计积分卡」这种商品名），不当成像小计的行。"""
|
|
rows = [("商品", "门店", "金额"), ("累计积分卡", "门店一", 10), ("普通卡", "门店二", 20)]
|
|
ex = _run(_book(rows), _list([("商品", "TEXT"), ("门店", "TEXT"), ("金额", "INTEGER")]))
|
|
assert ex.ok and not [p for p in ex.problems if p.code == "subtotal_suspect"]
|
|
|
|
|
|
def _suspects(data: list[tuple[Any, ...]], columns: list[tuple[str, str]], **block: Any) -> list[str]:
|
|
ex = _run(_book(data), _list(columns, **block))
|
|
assert ex.ok, [p.message for p in ex.problems]
|
|
return [c for p in ex.problems if p.code == "subtotal_suspect" for c in p.cells]
|
|
|
|
|
|
def test_a_two_column_key_value_list_is_never_flagged():
|
|
"""复核反例：只有「标签文字列 + 数字列」的键值清单，「其余文字列为空」自然成立，不能据此说它像小计——
|
|
「累计收入」「汇总调整」是普通的数据行。最后一行以合计字样开头也一样。"""
|
|
cols = [("项目", "TEXT"), ("金额", "INTEGER")]
|
|
assert _suspects([("项目", "金额"), ("门票收入", 100), ("累计收入", 300), ("汇总调整", 5), ("餐饮收入", 50)],
|
|
cols) == []
|
|
assert _suspects([("项目", "金额"), ("门票收入", 100), ("餐饮收入", 50), ("合计调整项", 5)], cols) == []
|
|
|
|
|
|
def test_only_rows_between_details_are_flagged():
|
|
"""像小计的行要夹在明细中间：上下相邻的明细在某个文字列上有值、这一行空着；后面还得有明细（或者是合计行）。
|
|
放在最后、后面没有明细的不报（那不是「夹在中间」）；上下的明细那一列本来就空着的也不报。"""
|
|
cols = [("地区", "TEXT"), ("门店", "TEXT"), ("金额", "INTEGER")]
|
|
head = ("地区", "门店", "金额")
|
|
# 最后一行：后面没有明细，也没有合计行
|
|
assert _suspects([head, ("分区甲", "门店一", 100), ("分区甲", "门店二", 200), ("小计", None, 300)], cols) == []
|
|
# 上面的明细「门店」也空着：不是因为小计才空的
|
|
assert _suspects([head, ("分区甲", None, 100), ("累计调整", None, 5), ("分区乙", "门店三", 50)], cols) == []
|
|
# 下面的明细「门店」空着：同样不报
|
|
assert _suspects([head, ("分区甲", "门店一", 100), ("累计调整", None, 5), ("分区乙", None, 50)], cols) == []
|
|
# 夹在明细中间：报
|
|
assert _suspects([head, ("分区甲", "门店一", 100), ("小计", None, 100), ("分区乙", "门店三", 50)],
|
|
cols) == ["明细!A3"]
|
|
# 最后一组的小计后面紧跟合计行：也在列表里面，报
|
|
total = {"rows": {"total_row": {"label_column": "地区", "pick": "合计"}}}
|
|
assert _suspects([head, ("分区甲", "门店一", 100), ("小计", None, 100), ("合计", None, 100)], cols,
|
|
**total) == ["明细!A3"]
|
|
|
|
|
|
def test_declaring_no_subtotals_keeps_such_rows_as_data_without_asking(tmp_path):
|
|
"""人确认过「这张列表没有小计行」（rows.no_subtotals）：以合计字样开头的行照常是数据，不再每期报 subtotal_suspect、
|
|
不再每期要勾确认；这个声明本身是放宽，配上的那一次要确认一次。和 subtotals 只能二选一。"""
|
|
from app.data import recipe_confirm
|
|
|
|
recipe = _list(STORE_COLS, rows={"total_row": {"label_column": "地区", "pick": "合计"}, "no_subtotals": True})
|
|
assert validate_recipe(recipe, facts=None, origin="rules")[1] == []
|
|
db = str(tmp_path / "n.db")
|
|
ex = _run(_book(STORES), recipe, db)
|
|
assert ex.ok and not [p for p in ex.problems if p.code == "subtotal_suspect"]
|
|
assert _rows(db, 'SELECT COUNT(*) FROM "明细"') == [(6,)] # 两行「小计」照常是数据
|
|
items = recipe_confirm.confirm_items(recipe_confirm.ConfirmContext(kind="first", recipe=recipe, extraction=ex,
|
|
checks=[]))
|
|
ids = [i.id for i in items]
|
|
assert "no_subtotals:列表1" in ids and not [i for i in ids if i.startswith("subtotal_suspect:")]
|
|
sigs = recipe_confirm.recipe_item_signatures(Recipe.model_validate(recipe))
|
|
assert sigs["no_subtotals:列表1"] != recipe_confirm.recipe_item_signatures(
|
|
Recipe.model_validate(_list(STORE_COLS)))["no_subtotals:列表1"]
|
|
both = _stores_recipe()
|
|
both["sheets"][0]["blocks"][0]["rows"]["no_subtotals"] = True
|
|
probs = validate_recipe(both, facts=None, origin="rules")[1]
|
|
assert [p.code for p in probs] == ["subtotals_conflict"] and probs[0].path.endswith("/rows/no_subtotals")
|