feat: 第二版——接口契约对齐 docs/05，修复静默故障与数据库基线
相对第一版 46fc976 的完整变更。组员迁移对照表见 docs/20。
一、对外契约对齐 docs/05（破坏性，共 4 处，组员需按 docs/20 调整）
1) 配置发布端点改为文档规定的复数资源名：submit→validations、
approve→reviews（需 body decision）、activate→activations、
rollback→rollbacks；第一版这 4 个动词式路径 docs/05 从未定义过。
2) 错误码由 8 个笼统码改为 15 个具体语义码（FORBIDDEN→AGENT_PERMISSION_DENIED、
UNAUTHORIZED→AUTHENTICATION_REQUIRED、CONFLICT→RESOURCE_VERSION_CONFLICT、
RESOURCE_NOT_FOUND→RUN_NOT_FOUND/SESSION_NOT_FOUND 等），
输入类错误状态码 400→422。
3) POST /api/v1/agent-runs 与 GET /api/v1/agent-runs/{run_id} 统一为
{data, meta} 信封（data 内字段名与语义未变）。
4) 错误响应体统一为 {error:{code,message,retryable,field_errors}, meta:{trace_id}}，
不再返回 FastAPI 默认的 {"detail": ...}。
二、数据库基线与约束
新增 39 张表的基线迁移（链根）与联合唯一键纠偏（4 张表、删 8 增 4，幂等收敛）；
撤下 config_release 的双人复核 CHECK（应用层已允许自审，审核节点保留，
自审如实写入 reviewer_id）；记忆 active key 生成列与唯一键；
activate 开始记录 supersedes_release_id 使版本链可追溯。
docs/00 基线未修改，未重命名或删除任何表与字段。
三、修复会静默出错或无报错的缺陷
- 跑完集成测试后平台会静默失去生效配置：清理只删自己创建的版本，却没有恢复被它
顶成 superseded 的原生效版本，且审计一并删除因而完全无痕，表现为所有工具被拒
但没有任何报错。已修清理逻辑并加恢复。
- Worker 单轮异常导致进程退出；记忆抽取调用方的“事务已开始”异常；
召回缓存丢失 degraded 标记；连接时区未生效导致 created_at/updated_at 差 8 小时；
.env 与 os.getenv 密钥来源分裂导致“没有可用的已批准模型端点”。
- 记忆信号识别漏判与跨键误命中；SSE 未带 Accept 的协商行为。
四、功能补齐
记忆链路 P1/P2/P3（抽取、受控词表、召回与缓存、生命周期级联及投影事件）、
fin_* 场内交易只读 ORM 层、agent_intent_config 状态流转并在运行期真正生效、
限流（Redis 固定窗口、故障一律放行）、游标校验、trace_id 中间件、
示例业务 Agent fund_query_demo 与一键端到端验证脚本，以及审计/指纹/迁移状态工具。
五、文档与验证
新增 docs/19（业务 Agent 接入实操）、docs/20（第一版迁移指南）与 docs/evidence 证据；
docs/01/02/06/08/09/17 同步实现现状。
验证结果：ruff 通过、mypy 103 文件无错、unit+contract 447 passed、
integration 29 passed、acceptance_check --production 7 PASS、
demo_agent_e2e 9/9 PASS（含失败关闭反证）。
This commit is contained in:
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"""模型向量化（embedding）能力的契约测试。
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与文本生成同族：OpenAI-compatible `/embeddings`、密钥只从 `secret_ref` 解析、
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端点按声明顺序尝试、降级时显式标记，任何结构违约都失败关闭。
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"""
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import json
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from typing import Any
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import httpx
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import pytest
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from app.core.errors import RecoverableAgentError
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from app.service.model_gateway import (
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ModelDispatchService,
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ModelEmbeddingService,
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OpenAICompatibleGateway,
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)
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class Endpoint:
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def __init__(self, code: str, *, timeout_ms: int = 1000) -> None:
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self.endpoint_code = code
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self.base_url = "https://model.example/v1"
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self.model_name = "embed-small"
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self.secret_ref = "env:MODEL_TEST_KEY"
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self.timeout_ms = timeout_ms
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class SeedResolver:
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"""替身密钥解析器：断言只接受 env: 引用，返回值固定。"""
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def resolve(self, secret_ref: str) -> str:
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assert secret_ref.startswith("env:")
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return "test-key"
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class RecordingGateway:
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"""替身网关：按端点记录调用并返回预设结果或抛错。"""
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def __init__(self, behaviour: dict[str, Any]) -> None:
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self.behaviour = behaviour
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self.calls: list[str] = []
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async def generate(self, *, endpoint_code: str, prompt: str, timeout_ms: int) -> str:
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raise AssertionError("embedding 测试不应调用文本生成")
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async def embed(self, *, endpoint_code: str, text: str, timeout_ms: int) -> list[float]:
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self.calls.append(endpoint_code)
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result = self.behaviour[endpoint_code]
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if isinstance(result, Exception):
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raise result
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return list(result)
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async def test_embed_parses_openai_compatible_response() -> None:
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def handler(request: httpx.Request) -> httpx.Response:
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assert request.url.path.endswith("/embeddings")
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assert request.headers["authorization"] == "Bearer test-key"
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body = json.loads(request.content)
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assert body["model"] == "embed-small"
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assert body["input"] == "稳健型"
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return httpx.Response(200, json={"data": [{"embedding": [0.1, 0.2, 0.3]}]})
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async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as client:
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gateway = OpenAICompatibleGateway(
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{"ep-1": Endpoint("ep-1")}, secret_resolver=SeedResolver(), client=client
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)
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vector = await gateway.embed(endpoint_code="ep-1", text="稳健型", timeout_ms=1000)
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assert vector == [0.1, 0.2, 0.3]
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@pytest.mark.parametrize(
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"payload",
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[
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{"data": []},
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{"data": [{}]},
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{"data": [{"embedding": []}]},
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{"data": [{"embedding": ["not-a-number"]}]},
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{"unexpected": True},
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],
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)
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async def test_malformed_embedding_response_fails_closed(payload: dict[str, Any]) -> None:
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def handler(request: httpx.Request) -> httpx.Response:
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return httpx.Response(200, json=payload)
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async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as client:
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gateway = OpenAICompatibleGateway(
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{"ep-1": Endpoint("ep-1")}, secret_resolver=SeedResolver(), client=client
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)
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with pytest.raises(RecoverableAgentError):
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await gateway.embed(endpoint_code="ep-1", text="稳健型", timeout_ms=1000)
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async def test_http_failure_is_recoverable() -> None:
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def handler(request: httpx.Request) -> httpx.Response:
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return httpx.Response(503, json={"error": "unavailable"})
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async with httpx.AsyncClient(transport=httpx.MockTransport(handler)) as client:
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gateway = OpenAICompatibleGateway(
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{"ep-1": Endpoint("ep-1")}, secret_resolver=SeedResolver(), client=client
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)
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with pytest.raises(RecoverableAgentError):
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await gateway.embed(endpoint_code="ep-1", text="稳健型", timeout_ms=1000)
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async def test_dispatch_falls_back_in_declared_order() -> None:
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gateway = RecordingGateway({
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"ep-1": RecoverableAgentError("端点不可用"),
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"ep-2": [0.5, 0.6],
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})
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dispatch = ModelDispatchService(gateway) # type: ignore[arg-type]
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execution = await dispatch.embed([Endpoint("ep-1"), Endpoint("ep-2")], "稳健型")
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assert execution.endpoint_code == "ep-2"
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assert execution.vector == [0.5, 0.6]
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assert execution.degraded is True
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assert execution.attempts == 2
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assert gateway.calls == ["ep-1", "ep-2"]
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async def test_dispatch_raises_when_all_endpoints_fail() -> None:
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gateway = RecordingGateway({
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"ep-1": RecoverableAgentError("端点不可用"),
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"ep-2": RecoverableAgentError("端点不可用"),
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})
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dispatch = ModelDispatchService(gateway) # type: ignore[arg-type]
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with pytest.raises(RecoverableAgentError):
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await dispatch.embed([Endpoint("ep-1"), Endpoint("ep-2")], "稳健型")
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async def test_embedding_service_rejects_empty_endpoint_list() -> None:
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dispatch = ModelDispatchService(RecordingGateway({})) # type: ignore[arg-type]
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service = ModelEmbeddingService(dispatch)
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with pytest.raises(RecoverableAgentError):
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await service.embed([], "稳健型")
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