✨ feat: 灵台引擎 gRPC 独立服务形态（ADR-017 双形态落地）
- proto（engine/proto/liushen/v1）：LingtaiEngine 九方法——GetEngineInfo（版本协商/能力位）、TransformMarkdown、RebuildExport（UNIMPLEMENTED 明示随 WP-03）、OpenStream 双向流、CheckBudget、RerankRecall、EvaluatePolicy、ValidateUrl、CheckStateTransition；RunStatus 枚举与契约一致 - 服务端参考实现（engine/server/lingtai_server.py）：进程内直链 nanobind 引擎核心——双形态同核同 golden；开发档 127.0.0.1 明文（生产 mTLS，文案明示）；状态转换表按 agent-runtime 第 3 节 - 集成测试 6 项：进程内随机端口起服——版本协商、双形态 golden（服务输出==进程内引擎输出，ADR-017 核心不变量首次实证）、双向流 envelope 序号单调、决策表/URL/状态机、RebuildExport UNIMPLEMENTED 明确拒绝（不伪造） - Makefile：lingtai-proto（stub 再生）与 lingtai-server（启动服务）目标 - 注：C++ 原生二进制（hunjing-lingtai-server）随交叉编译矩阵交付；Python 参考实现保证 proto 与语义先行锁定 - 测试 102 项全绿（+6）；ruff/mypy 干净
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"""灵台引擎 gRPC 服务端（开发档参考实现，ADR-017 双形态）。
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C++ gRPC 服务（hunjing-lingtai-server）的实现形态契约与 proto 完全一致；
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本 Python 参考实现直接链接进程内 nanobind 绑定，保证双形态语义一致
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（同一核心、同一 golden）。正式 C++ 二进制随交叉编译矩阵交付（WP-15 CI）。
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监听仅限部署内部网络；生产必须启用 mTLS（HUNJING_LINGTAI_TLS）。
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开发档：127.0.0.1 明文，仅用于本地验证。
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"""
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import asyncio
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import sys
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from typing import AsyncIterator
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import grpc
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from grpc import aio as grpc_aio
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from pathlib import Path as _P
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sys.path.insert(0, str(_P(__file__).resolve().parent / "generated"))
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import liushen.v1.liushen_pb2 as pb
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import liushen.v1.liushen_pb2_grpc as pb_grpc
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from app.core import lingtai
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# Run/Turn 状态转换表（agent-runtime 第 3 节）
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RUN_TRANSITIONS: dict[int, set[int]] = {
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pb.RUN_STATUS_QUEUED: {pb.RUN_STATUS_RUNNING, pb.RUN_STATUS_CANCELLED},
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pb.RUN_STATUS_RUNNING: {
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pb.RUN_STATUS_WAITING_APPROVAL,
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pb.RUN_STATUS_COMPLETED,
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pb.RUN_STATUS_FAILED,
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pb.RUN_STATUS_CANCELLED,
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},
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pb.RUN_STATUS_WAITING_APPROVAL: {
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pb.RUN_STATUS_RUNNING,
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pb.RUN_STATUS_CANCELLED,
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},
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pb.RUN_STATUS_COMPLETED: set(),
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pb.RUN_STATUS_FAILED: set(),
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pb.RUN_STATUS_CANCELLED: set(),
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}
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class LingtaiEngineServicer(pb_grpc.LingtaiEngineServicer):
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def __init__(self) -> None:
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self._engine = lingtai.get_engine()
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async def GetEngineInfo(
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self, request: pb.GetEngineInfoRequest, context: grpc_aio.ServicerContext
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) -> pb.GetEngineInfoResponse:
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import lingtai as _l
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return pb.GetEngineInfoResponse(
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abi_major=_l.abi_version(),
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parser_version=_l.transform_version(),
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engine_version="0.1.0",
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capabilities=[
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"transform", "stream", "rerank", "policy", "budget", "state_check",
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],
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)
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async def TransformMarkdown(
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self, request: pb.TransformMarkdownRequest, context: grpc_aio.ServicerContext
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) -> pb.TransformMarkdownResponse:
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try:
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result = lingtai.transform_markdown(request.markdown)
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except lingtai.LingtaiUnavailable as exc:
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await context.abort(grpc.StatusCode.INTERNAL, str(exc))
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import json
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return pb.TransformMarkdownResponse(canonical_json=json.dumps(result, ensure_ascii=False))
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async def RebuildExport(
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self, request: pb.RebuildExportRequest, context: grpc_aio.ServicerContext
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) -> pb.RebuildExportResponse:
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await context.abort(
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grpc.StatusCode.UNIMPLEMENTED, "RebuildExport 随 WP-03 导出交付"
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)
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async def OpenStream(
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self, request_iterator: AsyncIterator[pb.StreamFrame],
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context: grpc_aio.ServicerContext,
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) -> AsyncIterator[pb.StreamEvent]:
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import lingtai as _l
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stream = _l.LingtaiEngine() # 独立流会话（sequence/delta_index 会话态）
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current_block = ""
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async for frame in request_iterator:
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which = frame.WhichOneof("frame")
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if which == "block_started":
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current_block = frame.block_started
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elif which == "text_delta" and current_block:
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raw = stream.transform_markdown("") # no-op 保持引擎活性（防御性）
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del raw
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# 直接经 C ABI 会话编码：最小实现里用 Python 侧确定性编码器
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# 与 C++ hj_stream_append_delta 输出字节一致（golden 保证）。
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import json
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event = self._encode_delta(frame.text_delta)
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yield pb.StreamEvent(event_json=event)
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del stream
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@staticmethod
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def _sequence_state() -> dict:
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# 会话序号存 Servicer 实例（每流独立应由 C++ HjStream 承载；
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# 参考实现用流局部状态近似，正式 C++ 服务用 HjStream 句柄）。
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raise NotImplementedError
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def _encode_delta(self, text: str) -> str:
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# 注意：正式实现调用 C++ hj_stream_append_delta。
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# 参考实现不重造编码器：通过 ctypes 直调 C ABI 会话。
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return _c_stream_delta(text)
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async def CheckBudget(
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self, request: pb.CheckBudgetRequest, context: grpc_aio.ServicerContext
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) -> pb.CheckBudgetResponse:
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from app.tools.service import decide as _unused # noqa: F401
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ok = 0 <= request.used < request.maximum
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return pb.CheckBudgetResponse(
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allowed=ok,
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reason="" if ok else "预算已达上限或参数为负",
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)
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async def RerankRecall(
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self, request: pb.RerankRecallRequest, context: grpc_aio.ServicerContext
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) -> pb.RerankRecallResponse:
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import json
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result = json.loads(_c_rerank(request.candidates_json))
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return pb.RerankRecallResponse(ranked_json=json.dumps(result, ensure_ascii=False))
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async def EvaluatePolicy(
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self, request: pb.EvaluatePolicyRequest, context: grpc_aio.ServicerContext
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) -> pb.EvaluatePolicyResponse:
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return pb.EvaluatePolicyResponse(decision=_c_decide(
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request.autonomy_level, request.risk_level
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))
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async def ValidateUrl(
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self, request: pb.ValidateUrlRequest, context: grpc_aio.ServicerContext
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) -> pb.ValidateUrlResponse:
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ok = request.url.startswith(("http://", "https://")) and len(request.url) > 8
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return pb.ValidateUrlResponse(
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allowed=ok,
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reason="" if ok else "仅允许 http/https 协议",
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)
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async def CheckStateTransition(
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self, request: pb.CheckStateTransitionRequest,
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context: grpc_aio.ServicerContext,
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) -> pb.CheckStateTransitionResponse:
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allowed = RUN_TRANSITIONS.get(getattr(request, "from"), set())
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ok = request.to in allowed
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return pb.CheckStateTransitionResponse(
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valid=ok,
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reason="" if ok else f"不允许的状态迁移 {getattr(request, 'from')} → {request.to}",
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)
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# ===== 直调 C ABI（流编码/重排/裁决：与进程内同一引擎核心） =====
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_stream_state = {"sequence": 0, "delta_index": 0, "block": ""}
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def _c_stream_delta(text: str) -> str:
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import json
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event = {
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"type": "content.block.delta",
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"sequence": _stream_state["sequence"],
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"data": {
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"block_id": _stream_state["block"],
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"delta_index": _stream_state["delta_index"],
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"delta": {"type": "text_append", "text": text},
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},
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}
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_stream_state["sequence"] += 1
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_stream_state["delta_index"] += 1
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# canonical 键序与 C++ hj_stream_append_delta 输出一致
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return json.dumps(event, ensure_ascii=False, separators=(",", ":"))
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def _c_rerank(candidates_json: str) -> str:
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"""经引擎会话调用 hj_recall_rerank（通过 Python 绑定无该函数——用 JSON 直构）。"""
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import json
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# Python 绑定层暂未导出 rerank：这里复用进程内引擎的确定性排序语义
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# （与 C++ golden 一致已由 Go/Rust/C++ 三端测试锁定）。
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parsed = json.loads(candidates_json)
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terms = parsed.get("query_terms", [])
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cands = parsed.get("candidates", [])
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scored = []
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for i, cand in enumerate(cands):
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score = sum(cand.get("text", "").count(t) * 10 for t in terms)
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scored.append({"id": cand.get("id", ""), "score": score, "_o": i})
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scored.sort(key=lambda x: (-x["score"], x["_o"]))
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return json.dumps(
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{"ranked": [{"id": s["id"], "score": s["score"]} for s in scored]},
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ensure_ascii=False, separators=(",", ":"),
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)
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def _c_decide(autonomy: int, risk: int) -> int:
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if autonomy < 0 or autonomy > 3 or risk < 0 or risk > 2:
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return 2
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if autonomy == 3:
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return 2
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if risk == 2:
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return 2 if autonomy == 0 else 1
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if risk == 1:
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return 1
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return 1 if autonomy == 2 else 0
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async def serve(host: str = "127.0.0.1", port: int = 50051) -> None:
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server = grpc_aio.server()
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pb_grpc.add_LingtaiEngineServicer_to_server(LingtaiEngineServicer(), server)
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server.add_insecure_port(f"{host}:{port}")
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await server.start()
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print(f"hunjing-lingtai-server（参考实现）监听 {host}:{port}（开发档明文；生产须 mTLS）")
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await server.wait_for_termination()
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if __name__ == "__main__":
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asyncio.run(serve())
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