feat: M4 文风 + M5 生成/多provider/Skill + Kimi Code 订阅接入 + 本地联调修复

M4(文风): style-auditor 双轨(提取指纹/漂移第四审)+ jobs 长任务框架(zombie reaper) + 回炉 refine + GET /style read-back。
M5(生成+扩展): worldbuilder/character-gen(入库 continuity 409 gate + partition_writes 白名单 + schema→JSONB 形变);
  网关多 provider 回退链/熔断/能力降级(Anthropic/Gemini 适配器);Skill registry + 表权限沙箱 + 规则;
  前端 角色生成器/世界观/Codex/规则页/技能库/⌘K 命令面板。
K1(Kimi Code 订阅接入): OAuth device-flow(kimi-code)+ 静态 Console key(kimi-code-key)两路径;
  coding 端点 KimiCLI 伪造头(实测 UA allow-list 门禁,缺则 403)+ JSON 模式结构化(thinking ⊥ tool_choice)。
本地联调修复: CORS 中间件;assemble 注入 premise+「写第N章」指令(修空 prompt 400);
  GET /outline·/draft read-back + 大纲/工作台/审稿页重载;写页 client/server 常量边界 + notFound 健壮化;
  字数 toLocaleString locale 水合;审稿页终稿从已存草稿 seed(修 accept 422)。
门禁: backend ruff/mypy(157)/alembic 无漂移/pytest 451 · frontend lint/tsc/vitest/build。

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Yaojia Wang
2026-06-20 10:39:58 +02:00
parent 5fb7bfb1de
commit 765dbdfbd4
161 changed files with 17330 additions and 208 deletions

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"""T4.2 style-auditor 双轨契约测试style_extract / style_drift / refiner spec + schemaC6 扩)。
契约测试——构造符合 schema 的 mock 响应校验字段、tier、双轨读写权限。
提取轨 `StyleFingerprintResult`16 维带证据);第四审 `StyleDriftReview`(段级相似度);
回炉 `refiner_spec`writer 纯文本output_schema=None。不联网、无 DB。
"""
from __future__ import annotations
import pytest
from pydantic import ValidationError
from ww_agents import (
AgentSpec,
StyleDimension,
StyleDriftReview,
StyleDriftSegment,
StyleFingerprintResult,
refiner_spec,
style_drift_spec,
style_extract_spec,
)
# ---- StyleFingerprintResult schema提取轨----
def test_style_fingerprint_parses_mock_response() -> None:
# Arrange模拟网关 instructor 校验后的结构化指纹产出(每维带原文证据)
mock = {
"dimensions": [
{
"name": "句长节奏",
"value": "短句为主、节奏明快",
"evidence": ["他一刀劈下。血溅三尺。", "风停了。"],
},
{
"name": "叙事人称",
"value": "第三人称限知",
"evidence": ["他不知道门后有什么。"],
},
]
}
# Act
fp = StyleFingerprintResult.model_validate(mock)
# Assert
assert len(fp.dimensions) == 2
assert fp.dimensions[0].name == "句长节奏"
assert fp.dimensions[0].evidence == ["他一刀劈下。血溅三尺。", "风停了。"]
assert fp.dimensions[1].value == "第三人称限知"
def test_style_fingerprint_defaults_to_empty_dimensions() -> None:
assert StyleFingerprintResult().dimensions == []
def test_style_dimension_evidence_defaults_empty() -> None:
dim = StyleDimension.model_validate({"name": "用词", "value": "古雅"})
assert dim.evidence == []
def test_style_dimension_requires_name_and_value() -> None:
with pytest.raises(ValidationError):
StyleDimension.model_validate({"name": "用词"})
# ---- StyleDriftReview schema第四审----
def test_style_drift_parses_mock_response() -> None:
mock = {
"score": 72,
"segments": [
{"idx": 3, "score": 40, "label": "机翻腔"},
{"idx": 7, "score": 55, "label": None},
],
}
review = StyleDriftReview.model_validate(mock)
assert review.score == 72
assert len(review.segments) == 2
assert review.segments[0].idx == 3
assert review.segments[0].label == "机翻腔"
assert review.segments[1].label is None
def test_style_drift_defaults_score_100_empty_segments() -> None:
# 无指纹优雅降级:默认整体相似度 100、无漂移段
review = StyleDriftReview()
assert review.score == 100
assert review.segments == []
def test_style_drift_segment_label_optional() -> None:
seg = StyleDriftSegment.model_validate({"idx": 1, "score": 30})
assert seg.label is None
def test_style_drift_segment_requires_idx_and_score() -> None:
with pytest.raises(ValidationError):
StyleDriftSegment.model_validate({"idx": 1})
# ---- style_extract_spec 声明 ----
def test_style_extract_spec_is_analyst_tier() -> None:
assert style_extract_spec.tier == "analyst"
assert style_extract_spec.name == "style_extract"
def test_style_extract_spec_reads_and_writes_fingerprint() -> None:
assert style_extract_spec.reads == ["style_fingerprint"]
assert style_extract_spec.writes == ["style_fingerprint"]
def test_style_extract_spec_output_schema() -> None:
assert style_extract_spec.output_schema is StyleFingerprintResult
def test_style_extract_spec_has_nonempty_system_prompt() -> None:
assert style_extract_spec.system_prompt.strip()
# ---- style_drift_spec 声明第四审name="style"----
def test_style_drift_spec_is_light_tier_named_style() -> None:
# 不变量 #2第四审用轻量档只声明 tier列名/section 名为 "style"
assert style_drift_spec.tier == "light"
assert style_drift_spec.name == "style"
def test_style_drift_spec_is_read_only() -> None:
# 不变量 #3四审只读
assert style_drift_spec.writes == []
def test_style_drift_spec_reads_fingerprint() -> None:
assert style_drift_spec.reads == ["style_fingerprint"]
def test_style_drift_spec_output_schema() -> None:
assert style_drift_spec.output_schema is StyleDriftReview
def test_style_drift_spec_prompt_documents_graceful_degrade() -> None:
# 无指纹→返回 score=100/空段system_prompt 必须含降级指令,否则 LLM 不知如何兜底)
assert "100" in style_drift_spec.system_prompt
# ---- refiner_spec 声明writer 纯文本回炉)----
def test_refiner_spec_is_writer_tier() -> None:
assert refiner_spec.tier == "writer"
assert refiner_spec.name == "refiner"
def test_refiner_spec_output_schema_is_none() -> None:
# 回炉产纯文本(重写段),无结构化 schema
assert refiner_spec.output_schema is None
def test_refiner_spec_is_read_only_and_no_writes() -> None:
# 回炉非持久(不变量 #3不写库作者采纳经既有 draft 自动保存合入
assert refiner_spec.reads == []
assert refiner_spec.writes == []
def test_refiner_spec_has_nonempty_system_prompt() -> None:
assert refiner_spec.system_prompt.strip()
# ---- 共性immutable + 是 AgentSpec ----
def test_style_specs_are_agent_specs() -> None:
assert isinstance(style_extract_spec, AgentSpec)
assert isinstance(style_drift_spec, AgentSpec)
assert isinstance(refiner_spec, AgentSpec)
def test_style_specs_are_immutable() -> None:
with pytest.raises(ValidationError):
style_extract_spec.tier = "writer"
with pytest.raises(ValidationError):
style_drift_spec.tier = "writer"
with pytest.raises(ValidationError):
refiner_spec.tier = "analyst"