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ThearchyHelios
3e311ec551
整合（3c-integrate） - 公共层：跨天时长（formatSpan / formatOffset / formatLapse）、本机署名（lib/actor）、检索分类色令牌、 数据源目录（useDatasources）收进公共层；失败说明能一次列出多个写坏的自定义工具，查询超时指到数据源的查询时限 - 管理页收尾：设置页接入统一的离开前确认；检查脚本不再把沙箱里的真实值打进输出 - 画布 ↔ 右栏：点出具印章、点节点能跳到右栏对应位置；「定位」直接聚焦到出问题的字段 - 回答流 / 问数据 / 记录页：失败信息带「去哪修」且不再被翻译两遍；协作团队的结局按执行截取； 等审批时断流重连、而运行已在空档里跑完的，补全事件 扫尾（3c-sweep） - 术语统一：开始运行 / 继续运行、工作流最大步数；未保存的运行统一叫「未保存的工作流」（后端新运行同步） - 沙箱报错不再带 Python 异常类名；新增 check-tokens，未定义的 CSS 变量为 0，两个旧别名迁移后删除 检查脚本（3c-checks） - check-ui 跟上新界面（运行列表按 data 属性找行），加上令牌与选中态的回归断言，输出里的名字打码 - 新增 check-all：按顺序跑全部检查、汇总退出码，--repeat 列出偶发项 - 单节出错只记这一节失败、不再带崩整个脚本；外壳遥测浮层「重新检测」时焦点不再掉到 body 网页工具与 fake-ip - Clash / mihomo 一类代理开 TUN + fake-ip 时，查什么都先拿到 198.18 段的假地址，被当成内网拦截。 新增 AGENTLAB_HTTP_TOOL_FAKE_IP_RANGES（默认空）：落在段里的解析结果改向公共 DNS（DoH）核实真实地址， 公网放行、内网照拦、核实不了按拦截处理。DoH 默认先问境外的，境内公共 DNS 会对被封锁的域名返回污染结果 - 列表型环境变量接受逗号分隔（原来注释说逗号分隔、实际只认 JSON 数组）；域名解析改为异步，不再阻塞事件循环 验证（沙箱）：tsc 干净，pytest 866 passed（两遍），检查脚本全绿。
299 lines
12 KiB
Python
299 lines
12 KiB
Python
"""Excel / CSV → 可以用 SQL 查的表。
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这块存在的理由不是"多支持一种格式"。这个项目有一条不可回退的决策：叙述层
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无算术权限，所有算术下沉到 SQL 或口径卡（engine/issuance.py）。表格传进知识库
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只能被切块检索，数字就成了模型从片段里"读"出来的——复核层拦得住凭空多出的
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数字，拦不住"从一堆片段里读错了一格"。
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所以这里最要紧的一条不是"能不能导进去"，是**导进去的数字能不能真的被 SQL 算**：
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一个整数列如果落成 TEXT，ORDER BY 就变成字典序（'10' < '9'），而没有任何
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地方会报错。
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"""
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from __future__ import annotations
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import io
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import sqlite3
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import pytest
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from httpx import ASGITransport, AsyncClient
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from app.data.tabular import UnsupportedTable, infer_type, load_into
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from app.main import app
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@pytest.fixture
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async def client():
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transport = ASGITransport(app=app)
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async with AsyncClient(transport=transport, base_url="http://test") as c:
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yield c
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def xlsx(sheets: dict[str, list[list]]) -> bytes:
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from openpyxl import Workbook
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book = Workbook()
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book.remove(book.active)
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for title, rows in sheets.items():
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sheet = book.create_sheet(title)
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for row in rows:
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sheet.append(row)
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buf = io.BytesIO()
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book.save(buf)
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return buf.getvalue()
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def query(db, sql):
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conn = sqlite3.connect(str(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 col_types(db, table):
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return {r[1]: r[2] for r in query(db, f'PRAGMA table_info("{table}")')}
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# --------------------------------------------------------------------------
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# 类型推断：这块的全部意义
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# --------------------------------------------------------------------------
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def test_infer_type_basics():
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assert infer_type([1, 2, 3]) == "INTEGER"
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assert infer_type(["1", "2", "3"]) == "INTEGER" # CSV 读出来全是字符串
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assert infer_type([1, 2.5]) == "REAL"
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assert infer_type(["1.5", "2"]) == "REAL"
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assert infer_type([1, "两个"]) == "TEXT"
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assert infer_type([]) == "TEXT" # 整列空的，别猜
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assert infer_type([None, " ", None]) == "TEXT"
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# 空单元格不该把一个数字列拖成 TEXT——那正是 SUM() 静默出错的起点
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assert infer_type([1, None, 3]) == "INTEGER"
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assert infer_type([1, "", 3]) == "INTEGER"
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# 真/假不是数量，不该被当成 INTEGER 去求和
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assert infer_type([True, False]) == "TEXT"
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def test_numbers_sort_as_numbers_not_as_text(tmp_path):
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"""整块设计的落点：ORDER BY 一个数字列要是 9 < 10，不是 '10' < '9'。
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列落成 TEXT 的话这条会反过来，而且不报任何错——只是从此以后每一次
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排序、每一次 MAX()、每一次区间筛选都悄悄错着。
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"""
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db = tmp_path / "t.db"
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load_into(str(db), xlsx({"数据": [["名称", "销量"], ["甲", 9], ["乙", 10], ["丙", 100]]}), "a.xlsx")
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table = query(db, "SELECT name FROM sqlite_master WHERE type='table'")[0][0]
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assert col_types(db, table)["销量"] == "INTEGER"
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assert [r[0] for r in query(db, f'SELECT "名称" FROM "{table}" ORDER BY "销量"')] == \
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["甲", "乙", "丙"]
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assert query(db, f'SELECT SUM("销量") FROM "{table}"')[0][0] == 119
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def test_empty_cells_become_null_not_empty_string(tmp_path):
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db = tmp_path / "t.db"
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load_into(str(db), xlsx({"s": [["a", "b"], [1, None], [2, " "]]}), "a.xlsx")
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table = query(db, "SELECT name FROM sqlite_master WHERE type='table'")[0][0]
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assert query(db, f'SELECT COUNT("b") FROM "{table}"')[0][0] == 0 # COUNT 不数 NULL
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assert query(db, f'SELECT SUM("a") FROM "{table}"')[0][0] == 3
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# --------------------------------------------------------------------------
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# 表 / 列
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# --------------------------------------------------------------------------
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def test_multiple_sheets_become_multiple_tables(tmp_path):
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db = tmp_path / "t.db"
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report = load_into(str(db), xlsx({
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"销售明细": [["月份", "金额"], ["1月", 100]],
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"Summary": [["k", "v"], ["总计", 100]],
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}), "a.xlsx")
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assert len(report.tables) == 2
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# 中文 sheet 名原样留着。清洗成 ASCII 的话「明细」「汇总」都会变成
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# sheet、sheet_2——模型和用户都认不出哪张是哪张
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assert {t.name for t in report.tables} == {"销售明细", "Summary"}
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assert query(db, 'SELECT "金额" FROM 销售明细')[0][0] == 100 # 不加引号也查得了
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def test_chinese_columns_are_kept_verbatim(tmp_path):
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"""列名保持原样。转写是有损的，而 SQLite 认带引号的标识符。"""
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db = tmp_path / "t.db"
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load_into(str(db), xlsx({"s": [["本月销量 (万元)", "x"], [12, "a"]]}), "a.xlsx")
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table = query(db, "SELECT name FROM sqlite_master WHERE type='table'")[0][0]
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assert "本月销量 (万元)" in col_types(db, table)
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assert query(db, f'SELECT "本月销量 (万元)" FROM "{table}"')[0][0] == 12
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def test_broken_headers_get_usable_names(tmp_path):
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db = tmp_path / "t.db"
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load_into(str(db), xlsx({"s": [["名称", None, "名称"], ["a", "b", "c"]]}), "a.xlsx")
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table = query(db, "SELECT name FROM sqlite_master WHERE type='table'")[0][0]
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cols = list(col_types(db, table))
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assert cols == ["名称", "col_2", "名称_2"], cols
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def test_header_row_can_be_moved(tmp_path):
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"""不猜表头行。猜错的表现是列名变成一行数据，而且没有任何征兆。"""
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db = tmp_path / "t.db"
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sheets = {"s": [["2026 年销售报表", None], ["月份", "金额"], ["1月", 100]]}
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load_into(str(db), xlsx(sheets), "a.xlsx", header_row=2)
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table = query(db, "SELECT name FROM sqlite_master WHERE type='table'")[0][0]
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assert list(col_types(db, table)) == ["月份", "金额"]
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# 取默认第 1 行就会把标题当表头——这正是要让用户当场看见的那种错
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load_into(str(db), xlsx(sheets), "a.xlsx")
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assert "2026 年销售报表" in col_types(db, table)
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def test_ragged_rows_are_padded(tmp_path):
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db = tmp_path / "t.db"
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load_into(str(db), xlsx({"s": [["a", "b", "c"], [1], [1, 2, 3, 4]]}), "a.xlsx")
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table = query(db, "SELECT name FROM sqlite_master WHERE type='table'")[0][0]
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assert query(db, f'SELECT COUNT(*) FROM "{table}"')[0][0] == 2
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# --------------------------------------------------------------------------
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# CSV
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# --------------------------------------------------------------------------
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def test_csv_with_gbk_encoding(tmp_path):
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"""中文环境里 GBK 的 CSV 极常见（Excel 另存为 CSV 的默认行为）。
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一律按 UTF-8 读会得到乱码列名，而乱码是不报错的——只是从此搜不到、看不懂。
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"""
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db = tmp_path / "t.db"
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raw = "月份,金额\n1月,100\n".encode("gb18030")
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load_into(str(db), raw, "销售.csv")
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table = query(db, "SELECT name FROM sqlite_master WHERE type='table'")[0][0]
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assert "月份" in col_types(db, table)
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assert query(db, f'SELECT "金额" FROM "{table}"')[0][0] == 100
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def test_tsv_and_semicolon_csv(tmp_path):
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db = tmp_path / "t.db"
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load_into(str(db), b"a\tb\n1\t2\n", "x.tsv")
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table = query(db, "SELECT name FROM sqlite_master WHERE type='table'")[0][0]
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assert list(col_types(db, table)) == ["a", "b"]
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def test_unsupported_formats_say_what_to_do(tmp_path):
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db = tmp_path / "t.db"
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with pytest.raises(UnsupportedTable, match="另存为"):
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load_into(str(db), b"x", "old.xls")
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with pytest.raises(UnsupportedTable, match="只认"):
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load_into(str(db), b"x", "a.pdf")
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# --------------------------------------------------------------------------
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# 重传
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# --------------------------------------------------------------------------
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def test_reupload_replaces_instead_of_appending(tmp_path):
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"""重传的语义是"这份数据更新了"。追加会让行数悄悄翻倍，没人会发现。"""
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db = tmp_path / "t.db"
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load_into(str(db), xlsx({"s": [["a"], [1], [2]]}), "a.xlsx")
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load_into(str(db), xlsx({"s": [["a"], [9]]}), "a.xlsx")
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table = query(db, "SELECT name FROM sqlite_master WHERE type='table'")[0][0]
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assert [r[0] for r in query(db, f'SELECT "a" FROM "{table}"')] == [9]
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# --------------------------------------------------------------------------
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# 接口
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# --------------------------------------------------------------------------
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async def _upload(client, name, content, filename="a.xlsx", **form):
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return await client.post(
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"/api/datasources/upload",
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files={"file": (filename, content,
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"application/vnd.openxmlformats-officedocument.spreadsheetml.sheet")},
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data={"name": name, **form},
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)
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@pytest.mark.asyncio
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async def test_upload_creates_a_queryable_source(client):
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resp = await _upload(
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client, "tab_sales",
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xlsx({"明细": [["月份", "金额"], ["1月", 100], ["2月", 250]]}),
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)
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assert resp.status_code == 201, resp.text
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body = resp.json()
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assert body["source"]["kind"] == "sqlite"
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assert body["replaced"] is False
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# 列名和类型要原样回显：表头行取错了，用户当场就该看见
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cols = {c["name"]: c["type"] for c in body["tables"][0]["columns"]}
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assert cols == {"月份": "TEXT", "金额": "INTEGER"}
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assert body["tables"][0]["rows"] == 2
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# 建完立刻探查过，否则 db_query 工具的描述里没有表清单
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assert body["source"]["table_count"] >= 1
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# 真能查——而且走的是和别的数据源完全相同的那条路
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from app.data.engine import run_query
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from app.db.base import SessionLocal
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from app.db.models import DataSource
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from sqlalchemy import select as _select
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async with SessionLocal() as session:
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row = (await session.execute(
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_select(DataSource).where(DataSource.name == "tab_sales")
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)).scalar_one()
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result = await run_query(row, 'SELECT SUM("金额") AS s FROM "明细"')
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assert result.rows[0][0] == 350
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@pytest.mark.asyncio
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async def test_reupload_keeps_the_same_source_and_name(client):
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"""重传不能换 id 或名字——名字是工具名（db_query__x），写进了保存过的图。"""
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first = await _upload(client, "tab_keep", xlsx({"s": [["a"], [1]]}))
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assert first.status_code == 201
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src_id = first.json()["source"]["id"]
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again = await _upload(client, "tab_keep", xlsx({"s": [["a"], [7], [8]]}))
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assert again.status_code == 201, again.text
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assert again.json()["replaced"] is True
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assert again.json()["source"]["id"] == src_id
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assert again.json()["source"]["name"] == "tab_keep"
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assert again.json()["tables"][0]["rows"] == 2
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@pytest.mark.asyncio
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async def test_upload_rejects_a_name_that_cannot_be_a_tool(client):
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resp = await _upload(client, "带中文的名字", xlsx({"s": [["a"], [1]]}))
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assert resp.status_code == 400
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assert "工具名" in resp.json()["detail"]
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@pytest.mark.asyncio
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async def test_upload_will_not_hijack_a_real_database(client):
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"""同名的真数据库不能被一个 Excel 顶掉。"""
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from app.db.base import SessionLocal
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from app.db.models import DataSource
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async with SessionLocal() as session:
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session.add(DataSource(name="tab_real", kind="mysql", host="h", database="d"))
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await session.commit()
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resp = await _upload(client, "tab_real", xlsx({"s": [["a"], [1]]}))
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assert resp.status_code == 409
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assert "换个名字" in resp.json()["detail"]
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def test_broken_excel_message_has_no_exception_class_name():
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"""坏掉的 .xlsx：报错说人话，不带 Python 异常类名（BadZipFile、InvalidFileException…）。
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这句话原样进上传的 400 detail，界面上是红字首行。
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"""
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from app.data.tabular import read_tables
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with pytest.raises(UnsupportedTable) as info:
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read_tables(b"not really an xlsx", "orders.xlsx")
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text = str(info.value)
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assert text.startswith("这个 Excel 读不开")
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assert "BadZipFile" not in text and "Error" not in text and "Exception" not in text
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