0271942ba5
模型推理全异步化改造： - 计算节点 InferenceSession 改为后台线程异步加载模型，load 立即返回， 加载期间事件循环保持响应（/inference/status 与 /health 不阻塞） - 后端模型加载改为异步派发 + 轮询对账器（reconcile_inference_loads）， 任务状态由 starting 自动推进到 ready/error，解决多节点启动超时 （timeout of 120000ms exceeded） - 推理删除/卸载改为任务感知 + 短超时，删除先删记录再 best-effort 卸载， 不再被不可达节点阻塞；同节点新模型替换旧任务标记失效 - 流式对话透传 task_id/node_id 路由到真正加载模型的算力节点， useStreamChat 解析 SSE 错误帧以干净文案展示 - 对话历史按任务 id 本地持久化，退出重进可恢复；移除页脚提示文本 - 新增后端推理异步加载与计算节点异步状态机单元测试 Co-Authored-By: Claude <noreply@anthropic.com>
248 lines
11 KiB
Python
248 lines
11 KiB
Python
from __future__ import annotations
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import time
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from typing import Any
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from urllib.parse import urljoin
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import httpx
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from app.core.config import get_settings
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def _join_url(base_url: str, path: str) -> str:
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return urljoin(base_url.rstrip("/") + "/", path.lstrip("/"))
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def _unwrap_items(payload: Any) -> list[dict[str, Any]]:
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if isinstance(payload, list):
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return [item for item in payload if isinstance(item, dict)]
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if isinstance(payload, dict):
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data = payload.get("data")
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if isinstance(data, dict) and isinstance(data.get("items"), list):
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return [item for item in data["items"] if isinstance(item, dict)]
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if isinstance(payload.get("items"), list):
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return [item for item in payload["items"] if isinstance(item, dict)]
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if isinstance(data, list):
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return [item for item in data if isinstance(item, dict)]
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return []
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def _unwrap_dict(payload: Any) -> dict[str, Any]:
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if isinstance(payload, dict) and isinstance(payload.get("data"), dict):
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return payload["data"]
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return payload if isinstance(payload, dict) else {}
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# Inference calls are intentionally short-timeout:
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# - load dispatch only confirms the compute node accepted the request
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# (the actual model load now runs asynchronously on the node).
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# - status/unload must never block the platform for long when a node is
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# unreachable but still marked online.
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INFERENCE_LOAD_TIMEOUT = httpx.Timeout(30, connect=10)
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INFERENCE_STATUS_TIMEOUT = httpx.Timeout(30, connect=5)
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INFERENCE_UNLOAD_TIMEOUT = httpx.Timeout(30, connect=5)
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class ComputeNodeClient:
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"""Application-side client for one compute node.
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The client accepts both current YG Compute API responses and common
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wrapper shapes such as `{code,message,data}` to make future engine/node
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adapters less brittle.
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"""
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def __init__(self, api_base_url: str, token: str | None = None, timeout: float | None = None) -> None:
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settings = get_settings()
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self.api_base_url = api_base_url.rstrip("/")
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self.token = token or settings.compute_service_token
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self.timeout = timeout or settings.compute_request_timeout_seconds
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self.route_prefix = settings.route_prefix.rstrip("/") or "/modelTF"
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def headers(self) -> dict[str, str]:
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if not self.token:
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return {}
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return {"X-Compute-Token": self.token}
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async def test_connection(self) -> dict[str, Any]:
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started = time.perf_counter()
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health = await self.health()
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gpus = await self.gpus()
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return {
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"success": True,
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"latency_ms": int((time.perf_counter() - started) * 1000),
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"health": health,
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"gpus": gpus,
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}
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async def health(self) -> dict[str, Any]:
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paths = [f"{self.route_prefix}/v1/compute/health", f"{self.route_prefix}/health", "/health"]
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last_error = ""
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async with httpx.AsyncClient(timeout=self.timeout, headers=self.headers()) as client:
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for path in paths:
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try:
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response = await client.get(_join_url(self.api_base_url, path))
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response.raise_for_status()
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return _unwrap_dict(response.json())
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except Exception as exc: # noqa: BLE001 - keep endpoint compatibility fallback broad
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last_error = str(exc)
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raise RuntimeError(last_error or "compute health check failed")
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async def gpus(self) -> list[dict[str, Any]]:
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paths = [
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f"{self.route_prefix}/compute/resources/gpus",
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f"{self.route_prefix}/v1/compute/resources/gpus",
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"/compute/resources/gpus",
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]
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last_error = ""
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async with httpx.AsyncClient(timeout=self.timeout, headers=self.headers()) as client:
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for path in paths:
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try:
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response = await client.get(_join_url(self.api_base_url, path))
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response.raise_for_status()
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return _unwrap_items(response.json())
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except Exception as exc: # noqa: BLE001
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last_error = str(exc)
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raise RuntimeError(last_error or "compute gpu discovery failed")
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async def create_job(self, payload: dict[str, Any]) -> dict[str, Any]:
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async with httpx.AsyncClient(timeout=self.timeout, headers=self.headers()) as client:
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response = await client.post(_join_url(self.api_base_url, f"{self.route_prefix}/compute/jobs"), json=payload)
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response.raise_for_status()
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return _unwrap_dict(response.json())
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async def preview_job(self, payload: dict[str, Any]) -> dict[str, Any]:
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async with httpx.AsyncClient(timeout=self.timeout, headers=self.headers()) as client:
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response = await client.post(
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_join_url(self.api_base_url, f"{self.route_prefix}/compute/jobs/preview"),
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json=payload,
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)
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response.raise_for_status()
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return _unwrap_dict(response.json())
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async def validate_job(self, payload: dict[str, Any]) -> dict[str, Any]:
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async with httpx.AsyncClient(timeout=self.timeout, headers=self.headers()) as client:
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response = await client.post(
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_join_url(self.api_base_url, f"{self.route_prefix}/compute/jobs/validate"),
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json=payload,
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)
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response.raise_for_status()
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return _unwrap_dict(response.json())
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async def check_paths(self, paths: list[dict[str, Any]]) -> dict[str, Any]:
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async with httpx.AsyncClient(timeout=self.timeout, headers=self.headers()) as client:
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response = await client.post(
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_join_url(self.api_base_url, f"{self.route_prefix}/compute/files/check-paths"),
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json={"paths": paths},
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)
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response.raise_for_status()
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return _unwrap_dict(response.json())
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async def list_files(
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self,
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root: str = "data",
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relative_path: str = "",
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directories_only: bool = False,
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) -> dict[str, Any]:
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async with httpx.AsyncClient(timeout=self.timeout, headers=self.headers()) as client:
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response = await client.get(
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_join_url(self.api_base_url, f"{self.route_prefix}/compute/files/list"),
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params={"root": root, "relative_path": relative_path, "directories_only": directories_only},
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)
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response.raise_for_status()
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return _unwrap_dict(response.json())
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async def get_job(self, job_id: str) -> dict[str, Any]:
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async with httpx.AsyncClient(timeout=self.timeout, headers=self.headers()) as client:
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response = await client.get(_join_url(self.api_base_url, f"{self.route_prefix}/compute/jobs/{job_id}"))
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response.raise_for_status()
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return _unwrap_dict(response.json())
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async def stop_job(self, job_id: str) -> dict[str, Any]:
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async with httpx.AsyncClient(timeout=self.timeout, headers=self.headers()) as client:
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response = await client.post(_join_url(self.api_base_url, f"{self.route_prefix}/compute/jobs/{job_id}/stop"))
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response.raise_for_status()
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return _unwrap_dict(response.json())
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async def job_logs(
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self,
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job_id: str,
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tail_lines: int | None = None,
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offset: int | None = None,
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limit: int | None = None,
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) -> dict[str, Any]:
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params = {
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key: value
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for key, value in {"tail_lines": tail_lines, "offset": offset, "limit": limit}.items()
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if value is not None
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}
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async with httpx.AsyncClient(timeout=self.timeout, headers=self.headers()) as client:
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response = await client.get(
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_join_url(self.api_base_url, f"{self.route_prefix}/compute/jobs/{job_id}/logs"),
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params=params,
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)
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response.raise_for_status()
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return _unwrap_dict(response.json())
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async def import_local_file(self, payload: dict[str, Any]) -> dict[str, Any]:
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async with httpx.AsyncClient(timeout=self.timeout, headers=self.headers()) as client:
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response = await client.post(
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_join_url(self.api_base_url, f"{self.route_prefix}/compute/files/import-local"),
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json=payload,
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)
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response.raise_for_status()
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return _unwrap_dict(response.json())
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async def _request(
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self,
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method: str,
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path: str,
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json_data: dict[str, Any] | None = None,
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timeout: float | None = None,
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) -> dict[str, Any]:
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"""Generic request method for compute API endpoints."""
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url = _join_url(self.api_base_url, f"{self.route_prefix}{path}")
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async with httpx.AsyncClient(timeout=timeout or 300, headers=self.headers()) as client:
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if method.upper() == "GET":
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response = await client.get(url)
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else:
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response = await client.post(url, json=json_data)
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response.raise_for_status()
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return _unwrap_dict(response.json())
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# ── Inference helpers (short timeouts — see module constants) ──────────
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async def inference_load(self, payload: dict[str, Any]) -> dict[str, Any]:
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"""Dispatch a model load. Returns as soon as the node accepts the
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request; the node now loads asynchronously (status goes 'loading')."""
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return await self._request("POST", "/inference/load", json_data=payload, timeout=INFERENCE_LOAD_TIMEOUT)
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async def inference_status(self) -> dict[str, Any]:
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return await self._request("GET", "/inference/status", timeout=INFERENCE_STATUS_TIMEOUT)
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async def inference_unload(self) -> dict[str, Any]:
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return await self._request("POST", "/inference/unload", json_data={}, timeout=INFERENCE_UNLOAD_TIMEOUT)
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async def upload_file(
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self,
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filename: str,
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content: bytes,
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target_relative_path: str,
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resource_type: str | None = None,
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resource_id: str | None = None,
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) -> dict[str, Any]:
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data = {
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"target_relative_path": target_relative_path,
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"resource_type": resource_type or "",
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"resource_id": resource_id or "",
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}
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files = {"file": (filename, content)}
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timeout = httpx.Timeout(max(self.timeout, 60), connect=self.timeout)
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async with httpx.AsyncClient(timeout=timeout, headers=self.headers()) as client:
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response = await client.post(
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_join_url(self.api_base_url, f"{self.route_prefix}/compute/files/upload"),
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data=data,
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files=files,
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)
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response.raise_for_status()
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return _unwrap_dict(response.json())
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