d909d1bd1b
实现侧： - 上下文：任务范围拆分为 范围校验/范围授权；索引按可发现口径重建、索引新鲜度改对称差；依赖校验统一快照漂移说明。 - 知识方法：方法与材料读取口径统一；超限方法材料按可选省略，核对路径不再二次计费；删除无合同的读时重算。 - 任务运行：新增 context.usage/tool.denied 事件类型；连接池常驻并在装配生命周期内开关；调用结算与核对分列。 - 效果评测/审校修订/交付连载/作者经验/作品规划：凭据冻结、标定消费、导出补证、事实引文核对等收尾修复。 - 资源加载：能力正文不再夹带索引用的导航注记（该注记此前进入角色与技能的模型提示）。 - 元数据：受保护骨架与代码保护属性对齐；字段校验与内置结构口径同步。 - 基础设施：环境预检进入装配生命周期；数据库连接运行期字段不参与相等比较；索引指纹归一化 jsonb 浮点。 - 删除被替代实现：7 份旧提示词模板与空壳 资料来源 读取器。 用例侧： - 用例身份与导航元信息迁移；夹具补生命周期、同库暴露与模板封存； - 本轮定向修复：方法材料省略、事实引文、迁移回执、额度与暂停用例、慢用例超时预算等。
281 lines
11 KiB
Python
281 lines
11 KiB
Python
"""旧载荷形状、端点身份和来源声明的纯合同；不运行旧确认实现。"""
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from copy import deepcopy
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import pytest
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from 建立映射 import 旧快照, 映射配置
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from 知识记录分流 import 分流知识记录
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def _输入(载荷=None, *, 关系=False):
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源 = {
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"source": {
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"system": "pg",
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"database": "synthetic-t5",
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"table": "muse_knowledge_draft",
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"id": "1",
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"revision": "1",
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},
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"record": {
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"work_id": 12,
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"source_id": 17473,
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"source_type": "chapter_extract",
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"status": "pending",
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"source_status": "active",
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"source_action_policy": "allowed",
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"draft_type": "relation" if 关系 else "entity",
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"draft_payload": 载荷
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if 载荷 is not None
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else {"type": "character", "name": "林深", "fields": {"身份": "驾驶员"}},
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},
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}
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域 = {"system": "pg", "database": "synthetic-t5"}
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映射 = {
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"works": [
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{
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**域,
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"legacy_id": 12,
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"use": "author",
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"target_ref": "new-work",
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"author_id": "author",
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}
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],
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"sources": [
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{
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**域,
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"legacy_id": 17473,
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"source_type": "chapter_extract",
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"work_id": 12,
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"target_ref": "new-chapter",
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"revision": "1",
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"chapters": {"1": "chapter:new-chapter"},
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}
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],
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"objects": [
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{
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**域,
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"work_id": 12,
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"use": "author",
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"scope": "new-work",
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"refs": refs,
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"target_ref": id_,
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}
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for refs, id_ in (
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(["name:林深", "name:11"], "a"),
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(["entity:11"], "b"),
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(["entity:12", "name:茧"], "c"),
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)
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],
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"schemas": {
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"character": {
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"type": "object",
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"properties": {"身份": {"type": "string"}},
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"additionalProperties": False,
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},
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"character_relation": {
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"type": "object",
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"properties": {},
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"additionalProperties": False,
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},
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},
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}
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return 源, 映射
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def _分流(源, 映射):
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快照 = 旧快照.从载荷(源)
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结果 = 分流知识记录(快照, 映射配置(映射))
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assert 结果.original == 快照.导出()
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return 结果
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@pytest.mark.case_id(
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"NC-w21-210001",
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environment="默认离线合成载荷",
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given="描述/字段/证据别名同值及异值",
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when="按新旧载荷合同经真实分流或隔离目标入口执行并回查",
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then=["同值归一，冲突field_conflict且原两值保全"],
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contract="docs/系统架构/新版设计/数据模型/旧知识记录分流.md",
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)
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@pytest.mark.parametrize(
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"键,别名,值",
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[
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("brief", "description", "机师"),
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("description", "描述", "机师"),
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("fields", "attributes", {"身份": "驾驶员"}),
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("fields", "字段", {"身份": "驾驶员"}),
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("evidence", "证据", "证据句"),
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],
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)
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def test_载荷别名同值承接冲突不吞原值__210001(键, 别名, 值):
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源, 映射 = _输入()
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载荷 = 源["record"]["draft_payload"]
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载荷.update({键: 值, 别名: deepcopy(值)})
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assert _分流(源, 映射).disposition == "待转换"
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载荷[别名] = {"身份": "异值"} if isinstance(值, dict) else "异值"
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assert _分流(源, 映射).reason_code == "field_conflict"
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@pytest.mark.case_id(
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"NC-w21-210002",
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environment="默认离线合成载荷",
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given="关系source为None/bool/数组/空对象/未知键/空白名/双键冲突",
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when="按新旧载荷合同经真实分流或隔离目标入口执行并回查",
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then=["按具体原因拒绝，detail固定relation.source且不回显原值"],
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contract="docs/系统架构/新版设计/数据模型/旧知识记录分流.md",
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)
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@pytest.mark.parametrize(
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"值,原因",
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[
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(None, "field_type_mismatch"),
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(True, "field_type_mismatch"),
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([], "field_type_mismatch"),
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({}, "missing_endpoint"),
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({"id": 11}, "unknown_fields"),
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({"name": " "}, "field_type_mismatch"),
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({"name": "林深", "名称": "异名"}, "field_conflict"),
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(" ", "field_type_mismatch"),
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],
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)
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def test_端点坏形状保全且错误固定到侧__210002(值, 原因):
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源, 映射 = _输入(
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{"type": "驾驶", "source": 值, "target": {"name": "茧"}, "description": "不应出现在错误中"},
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关系=True,
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)
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结果 = _分流(源, 映射)
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assert 结果.disposition == "隔离" and 结果.reason_code == 原因
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assert 结果.detail == "relation.source"
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@pytest.mark.case_id(
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"NC-w21-210003",
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environment="默认离线合成载荷",
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given="数字字符串、整数及首尾空白名称对象；另给矛盾强ID",
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when="按新旧载荷合同经真实分流或隔离目标入口执行并回查",
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then=["明确name/entity分轨，匹配名strip而原值不改，多提示冲突拒绝"],
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contract="docs/系统架构/新版设计/数据模型/旧知识记录分流.md",
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)
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@pytest.mark.parametrize(
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"源值,目标", [("11", "a"), (11, "b"), ({"name": " 林深 ", "名称": " 林深 "}, "a")]
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)
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def test_名称引用不猜数字身份且全提示必须一致__210003(源值, 目标):
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源, 映射 = _输入(
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{"type": "驾驶", "source": 源值, "target": "茧", "description": "首次实战驾驶"}, 关系=True
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)
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结果 = _分流(源, 映射)
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assert 结果.disposition == "待转换" and 结果.content["source"] == 目标
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assert 结果.content["target"] == "c" and 结果.content["brief"] == "首次实战驾驶"
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if 目标 == "a":
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源["record"]["source_entity_id"] = 11
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冲突 = _分流(源, 映射)
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assert 冲突.reason_code == "endpoint_conflict" and 冲突.detail == "relation.source"
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@pytest.mark.case_id(
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"NC-w21-210004",
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environment="默认离线合成载荷",
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given="输入source_hint、未知来源键、布尔旧章、reference用途对象、来源别名冲突、非对象attributes",
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when="按新旧载荷合同经真实分流或隔离目标入口执行并回查",
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then=["拒未知/非法形状或用途，不容纳垃圾字段或包sourcePayload"],
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contract="docs/系统架构/新版设计/数据模型/旧知识记录分流.md",
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)
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@pytest.mark.parametrize(
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"改动,原因",
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[
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("hint输入", "unknown_fields"),
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("未知来源键", "unknown_fields"),
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("来源bool", "field_type_mismatch"),
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("其他用途", "unknown_source"),
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("来源冲突", "field_conflict"),
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("属性非对象", "field_type_mismatch"),
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],
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)
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def test_来源提示不容纳未知字段或扩展授权__210004(改动, 原因):
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源, 映射 = _输入()
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载荷 = 源["record"]["draft_payload"]
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载荷["source"] = {"workId": 12, "chapterId": 17473, "chapter": 1}
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if 改动 == "hint输入":
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载荷["source_hint"] = {}
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elif 改动 == "未知来源键":
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载荷["source"]["unknown"] = 1
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elif 改动 == "来源bool":
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载荷["source"]["chapterId"] = True
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elif 改动 == "其他用途":
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映射["works"][0]["use"] = "reference"
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elif 改动 == "来源冲突":
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载荷["出处"] = {"workId": 13}
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else:
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载荷.pop("fields")
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载荷["attributes"] = "不能包成sourcePayload"
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assert _分流(源, 映射).reason_code == 原因
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@pytest.mark.case_id(
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"NC-w21-210005",
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environment="默认离线合成载荷",
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given="chapter与章序同值/异值/布尔，或来源缺章定位",
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when="按新旧载荷合同经真实分流或隔离目标入口执行并回查",
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then=["明确一致章驱动locator，scope_conflict/field_type_mismatch/missing_location准确"],
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contract="docs/系统架构/新版设计/数据模型/旧知识记录分流.md",
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)
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@pytest.mark.parametrize(
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"章序,有定位,原因",
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[
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("1", True, "classified"),
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(2, True, "scope_conflict"),
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(True, True, "field_type_mismatch"),
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(1, False, "missing_location"),
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],
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)
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def test_章序只取明确一致声明且不能猜定位__210005(章序, 有定位, 原因):
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源, 映射 = _输入()
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载荷 = 源["record"]["draft_payload"]
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载荷.update(source={"workId": 12, "chapterId": 17473, "chapter": 1}, 章序=章序)
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if not 有定位:
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映射["sources"][0].pop("chapters")
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结果 = _分流(源, 映射)
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assert 结果.reason_code == 原因
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if 原因 == "classified":
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assert 结果.references[0]["locator"] == "chapter:new-chapter"
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assert 结果.content["source_hint"] == 载荷["source"]
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@pytest.mark.case_id(
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"NC-w21-210006",
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environment="默认离线合成载荷",
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given="evidence为None/空串/空格/bool/整数",
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when="按新旧载荷合同经真实分流或隔离目标入口执行并回查",
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then=["原码点保留或明确拒绝，空白不strip成空证据"],
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contract="docs/系统架构/新版设计/数据模型/旧知识记录分流.md",
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)
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@pytest.mark.parametrize("证据", [None, "", " ", True, 12])
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def test_证据只保原码点而不宽松转型__210006(证据):
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源, 映射 = _输入()
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源["record"]["draft_payload"]["evidence"] = 证据
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结果 = _分流(源, 映射)
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if 证据 is None or isinstance(证据, str):
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assert 结果.disposition == "待转换" and 结果.content["source_hint"]["evidence"] == 证据
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else:
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assert 结果.reason_code == "field_type_mismatch"
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@pytest.mark.case_id(
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"NC-w21-210007",
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environment="默认离线合成载荷",
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given="甲方/乙方动态字段的bool/数组/空对象端点",
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when="按新旧载荷合同经真实分流或隔离目标入口执行并回查",
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then=[
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"同一端点解析器先于结构校验，field_type_mismatch固定到source/target侧，不被通用字段错误遮蔽"
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],
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contract="docs/系统架构/新版设计/数据模型/旧知识记录分流.md",
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)
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@pytest.mark.parametrize("边", ["甲方", "乙方"])
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@pytest.mark.parametrize("值", [True, ["不得出现在错误中的旧原值"], {}])
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def test_关系字段坏端点不被动态结构错误遮蔽__210007(边, 值):
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源, 映射 = _输入({"type": "驾驶", "source": 11, "target": 12, "fields": {边: 值}}, 关系=True)
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映射["schemas"]["character_relation"]["properties"] = {边: {"type": "string"}}
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结果 = _分流(源, 映射)
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assert 结果.reason_code == "field_type_mismatch"
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assert 结果.detail == ("relation.source" if 边 == "甲方" else "relation.target")
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