把 21 个内置 agent 的 system_prompt 从 specs.py 的 Python 常量外置为 prompts/<spec.name>.md,import 期由 load_prompt 确定性加载;建立 SPECS 名册 + SCHEMA_CATALOG(Pydantic 类型留 Python)+ 统一只读解析入口 SpecResolver。 纯重构、零功能/schema 变更,缓存断点前块字节级不变(不变量 #9)。 @llm packages/agents(步骤1-3) - spec_model.py:抽出 AgentSpec(frozen,字段不变) - prompt_loader.py:load_prompt = utf-8-sig 去BOM → LF 归一 → NFC → rstrip尾LF, 内存缓存 + fail-fast(PromptNotFoundError),import 期确定性 - schema_catalog.py:SCHEMA_CATALOG[name]→output type 唯一真相源(refiner=None) - prompts/*.md ×21:取常量「运行时值」程序化外迁(反斜杠折行已塌缩, 物理换行≡运行时换行);文件名按 spec.name 连字符(style.md/character-gen.md 等) - specs.py:删 21 常量 + AgentSpec 类;system_prompt=load_prompt(name)、 output_schema=SCHEMA_CATALOG[name];建 SPECS + REVIEW_RESERVED_NAMES; *_spec 兼容期保留且 SPECS[name] is *_spec(同一实例)。804→337 行 - __init__.py:显式 __all__ 重导出(避 F401) @backend packages/skills(步骤4-5) - SpecResolver:内置 SPECS(纯内存、零 DB)+ 用户 SkillRegistry 统一 get; 内置 name 永不触发 DB;output_schema_for 精确匹配 - skill_registry:保留命名空间守卫前移至入库校验,拒同名内置 → VALIDATION - toolbox_registry:GeneratorTool.spec 改走 SPECS[...],删 12 个 *_spec 直接 import @devops repo-root - .gitattributes:prompts/*.md text eol=lf(修正:须用完整嵌套路径才匹配) - packages/agents/pyproject:hatchling artifacts 纳入 prompts/*.md 随 wheel/sdist 分发 - ci.yml:新增 build wheel → 裸装 → import ww_agents.SPECS 冒烟 TDD 全程 mock 网关;门禁绿:ruff/format clean · mypy 209 files · pytest 744 passed (含金标准 sha256 回归 / md↔spec↔catalog 一一对应 / fail-fast / BOM+NFC / 内置守卫 / 同一实例 / 编排器无回归 / apps/api import-smoke / 打包冒烟)
210 lines
5.8 KiB
Python
210 lines
5.8 KiB
Python
"""T6 创作工具箱声明式描述符类型单测(Wave-0 契约)。
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仅校验描述符**类型**本身(无 TOOLBOX 注册表 seeding——那是 Wave A):
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- `ContextStrategy`:注入策略字面量(4 基础 + 续写/原文输入 2 竞品策略);
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- `InputField`:声明式表单字段(label/type/required/default/help);
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- `IngestSpec`:可选入库目标(table 必须在 KNOWN_TABLES,None=纯预览);
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- `GeneratorTool`:生成器声明(legacy 带 legacy_route 且 spec 可为 None;新工具带 spec+schema)。
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全部 frozen(不可变,全局 immutability 约定)——构造后改字段须抛错。
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"""
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from __future__ import annotations
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import dataclasses
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import pytest
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from pydantic import BaseModel, ValidationError
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from ww_agents import AgentSpec
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from ww_shared import AppError, ErrorCode
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from ww_skills import (
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ContextStrategy,
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GeneratorTool,
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IngestSpec,
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InputField,
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)
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class _FakeOut(BaseModel):
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"""构造测试用的 output_schema 占位(Pydantic 模型类)。"""
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value: str
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def _spec() -> AgentSpec:
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return AgentSpec(
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name="brainstorm",
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tier="light",
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system_prompt="x",
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output_schema=_FakeOut,
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reads=("projects",),
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writes=(),
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)
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# ---- ContextStrategy ----
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def test_context_strategy_values() -> None:
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# Arrange / Act
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from typing import get_args
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values = set(get_args(ContextStrategy))
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# Assert:4 基础策略 + 竞品快赢 2 策略(续写读前文 / 原文输入)。
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assert values == {
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"brief_only",
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"with_project",
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"with_world",
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"with_outline_chapter",
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"with_prior_chapter",
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"text_input",
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}
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# ---- InputField ----
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def test_input_field_required_fields_and_defaults() -> None:
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# Arrange / Act
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field = InputField(name="brief", label="一句话需求", type="textarea")
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# Assert: required 默认 True,其余可空
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assert field.name == "brief"
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assert field.label == "一句话需求"
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assert field.type == "textarea"
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assert field.required is True
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assert field.default is None
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assert field.help is None
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def test_input_field_accepts_optional_metadata() -> None:
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field = InputField(
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name="count",
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label="数量",
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type="number",
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required=False,
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default="3",
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help="一次生成几条",
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)
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assert field.required is False
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assert field.default == "3"
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assert field.help == "一次生成几条"
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def test_input_field_is_frozen() -> None:
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field = InputField(name="brief", label="需求", type="text")
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with pytest.raises(ValidationError):
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field.label = "改名"
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# ---- IngestSpec ----
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def test_ingest_spec_accepts_known_table() -> None:
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spec = IngestSpec(table="world_entities")
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assert spec.table == "world_entities"
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def test_ingest_spec_rejects_unknown_table() -> None:
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# 越权/不存在的入库表 → VALIDATION(不可信声明的第一道闸)
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with pytest.raises(AppError) as exc:
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IngestSpec(table="users")
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assert exc.value.code is ErrorCode.VALIDATION
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def test_ingest_spec_is_frozen() -> None:
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spec = IngestSpec(table="outline")
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with pytest.raises(ValidationError):
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spec.table = "characters"
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# ---- GeneratorTool ----
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def test_generator_tool_new_tool_with_spec_and_schema() -> None:
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# Arrange / Act:新工具带 spec + output_schema,无 legacy_route
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tool = GeneratorTool(
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key="brainstorm",
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title="脑洞生成器",
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subtitle="突破想象,脑洞大开",
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spec=_spec(),
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output_schema=_FakeOut,
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context_strategy="brief_only",
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input_fields=[InputField(name="brief", label="需求", type="textarea", required=False)],
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)
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# Assert
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assert tool.key == "brainstorm"
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assert tool.spec is not None
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assert tool.output_schema is _FakeOut
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assert tool.context_strategy == "brief_only"
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assert tool.ingest is None
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assert tool.legacy_route is None
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assert tool.genre is None
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assert len(tool.input_fields) == 1
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def test_generator_tool_legacy_tool_without_spec() -> None:
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# legacy 工具:spec=None + 指向现有页面/端点
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tool = GeneratorTool(
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key="worldbuilding",
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title="世界观生成器",
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subtitle="构建自洽世界",
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spec=None,
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output_schema=None,
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context_strategy="with_project",
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input_fields=[],
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legacy_route="/projects/{id}/world",
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)
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assert tool.spec is None
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assert tool.output_schema is None
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assert tool.legacy_route == "/projects/{id}/world"
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def test_generator_tool_with_ingest_and_genre() -> None:
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tool = GeneratorTool(
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key="glossary",
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title="词条生成器",
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subtitle="批量造词条",
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spec=_spec(),
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output_schema=_FakeOut,
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context_strategy="with_world",
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input_fields=[],
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ingest=IngestSpec(table="world_entities"),
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genre="xuanhuan",
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)
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assert tool.ingest is not None
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assert tool.ingest.table == "world_entities"
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assert tool.genre == "xuanhuan"
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def test_generator_tool_is_frozen() -> None:
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tool = GeneratorTool(
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key="brainstorm",
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title="脑洞生成器",
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subtitle="x",
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spec=_spec(),
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output_schema=_FakeOut,
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context_strategy="brief_only",
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input_fields=[],
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)
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with pytest.raises(ValidationError):
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tool.title = "改名"
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def test_generator_tool_input_fields_default_empty() -> None:
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tool = GeneratorTool(
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key="x",
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title="t",
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subtitle="s",
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spec=None,
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output_schema=None,
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context_strategy="brief_only",
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input_fields=[],
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legacy_route="/x",
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)
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# input_fields 是显式入参;frozen 后整体不可重绑
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assert tool.input_fields == []
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assert not dataclasses.is_dataclass(tool) # 用 Pydantic,非 dataclass
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