feat: 新增 compute_gateway、compute_poller、agent 模块,重构前端 dist

- 新增 backend/app/modules/compute_gateway(client/sync)计算网关模块
- 新增 backend/app/workers/compute_poller 计算轮询 worker
- 新增 compute/agent/process_manager 进程管理器
- 新增 scripts/ 脚本目录
- 更新 Docker 部署配置(app/compute/nginx)
- 更新后端平台 API、数据库 SQL、core 配置
- 更新前端多个视图组件及 API 模块
- 重构 frontend/dist 构建产物(新 hash)
- 更新多项文档

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
wuyongtao
2026-07-22 17:32:59 +08:00
parent 1e438164c1
commit 836343b29e
180 changed files with 3352 additions and 263 deletions

View File

@@ -1,12 +1,17 @@
from __future__ import annotations
from typing import Any
import uuid
import json
from pathlib import Path
from typing import Any
from fastapi import APIRouter, Body, File, HTTPException, Query, UploadFile
from fastapi.responses import PlainTextResponse
from app.core.config import get_settings
from app.db.platform_store import get_platform_store
from app.modules.compute_gateway.client import ComputeNodeClient
from app.modules.compute_gateway.sync import poll_compute_jobs_once
router = APIRouter()
@@ -19,6 +24,77 @@ def fail(status_code: int, message: str) -> HTTPException:
return HTTPException(status_code=status_code, detail={"code": status_code, "message": message, "data": None})
def _node_for_task(task: dict[str, Any]) -> dict[str, Any] | None:
return next((node for node in get_platform_store().compute_nodes() if node["id"] == task.get("compute_node_id")), None)
def _task_for_compute_job(job_id: str) -> dict[str, Any] | None:
return next((task for task in get_platform_store().tasks() if task.get("compute_job_id") == job_id), None)
async def _submit_fine_tune_task(store: Any, payload: dict[str, Any]) -> dict[str, Any]:
task_id = str(payload.get("task_id") or payload.get("id") or "")
if task_id and get_settings().compute_mode != "simulator":
try:
preflight = await _fine_tune_preflight(store, task_id, payload, validate=True)
except Exception as exc: # noqa: BLE001 - task has not entered running state yet
raise RuntimeError(f"preflight failed: {exc}") from exc
if not preflight["valid"]:
errors = "; ".join(preflight.get("errors") or ["preflight failed"])
raise RuntimeError(f"preflight failed: {errors}")
task = store.start_task(payload)
if get_settings().compute_mode == "simulator":
return task
node, job_payload = store.build_compute_job_payload(task["id"])
job = await ComputeNodeClient(node["api_base_url"]).create_job(job_payload)
return store.apply_compute_job(task["id"], job)
async def _fine_tune_preflight(
store: Any,
task_id: str,
payload: dict[str, Any] | None = None,
validate: bool = True,
) -> dict[str, Any]:
node, job_payload = store.prepare_compute_job_payload(task_id, payload or {})
if get_settings().compute_mode == "simulator":
preview = {
"valid": True,
"errors": [],
"warnings": ["compute_mode=simulator skips remote compute validation"],
"engine": job_payload.get("engine") or job_payload.get("training_engine") or "llama_factory",
"command": [],
"command_text": "",
"work_dir": "",
"env": {},
"path_checks": [],
}
else:
client = ComputeNodeClient(node["api_base_url"])
preview = await (client.validate_job(job_payload) if validate else client.preview_job(job_payload))
errors = list(preview.get("errors") or [])
warnings = list(preview.get("warnings") or [])
if not node.get("enabled"):
errors.append(f"compute node disabled: {node.get('code')}")
if node.get("scheduler_status") not in {"online", "draining"}:
errors.append(f"compute node not schedulable: {node.get('code')} status={node.get('scheduler_status')}")
return {
"valid": bool(preview.get("valid", not errors)) and not errors,
"errors": errors,
"warnings": warnings,
"node": {
"id": node.get("id"),
"code": node.get("code"),
"name": node.get("name"),
"api_base_url": node.get("api_base_url"),
"scheduler_status": node.get("scheduler_status"),
"gpu_count": node.get("gpu_count"),
},
"job_payload": job_payload,
"preview": preview,
}
@router.post("/login")
async def login(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
user = get_platform_store().login(payload.get("username", ""), payload.get("password", ""))
@@ -84,7 +160,29 @@ async def delete_user(user_id: str, current_username: str | None = Query(default
@router.get("/model-manage/local-models")
async def local_models() -> dict[str, Any]:
models = [{"path": item.get("path") or "", "name": item["name"]} for item in get_platform_store().models()]
store = get_platform_store()
models = [{"path": item.get("path") or "", "name": item["name"], "source": "registered"} for item in store.models()]
seen = {item["path"] for item in models if item.get("path")}
if get_settings().compute_mode != "simulator":
for node in store.compute_nodes():
if not node.get("enabled"):
continue
try:
result = await ComputeNodeClient(node["api_base_url"]).list_files(root="models", directories_only=True)
except Exception:
continue
for item in result.get("items") or []:
path = str(item.get("path") or "")
if not path or path in seen:
continue
seen.add(path)
models.append(
{
"path": path,
"name": item.get("name") or path.rsplit("/", 1)[-1],
"source": f"compute:{node.get('code')}",
}
)
return ok({"models": models})
@@ -95,6 +193,7 @@ async def trained_models() -> dict[str, Any]:
@router.delete("/model-manage/trained-models/{model_id}")
async def delete_trained_model(model_id: str, type: str = Query(default="merged")) -> dict[str, Any]:
get_platform_store().delete_trained_model(model_id)
return ok({"deleted": model_id, "type": type})
@@ -113,7 +212,14 @@ async def model_list() -> dict[str, Any]:
@router.post("/model-manage")
async def create_model(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
return ok(get_platform_store().create_model(payload))
try:
return ok(get_platform_store().create_model(payload))
except KeyError as exc:
raise fail(400, f"missing field: {exc}")
except ValueError as exc:
raise fail(400, str(exc))
except Exception as exc: # noqa: BLE001 - keep API errors visible to deployment smoke checks
raise fail(500, f"create model failed: {exc}")
@router.get("/model-manage/{model_id}")
@@ -199,12 +305,73 @@ async def activate_dataset_version(file_id: str, payload: dict[str, Any] = Body(
@router.delete("/dataset-manage/versions/{file_id}/{version_id}")
async def delete_dataset_version(file_id: str, version_id: str) -> dict[str, Any]:
return ok(get_platform_store().file_versions(file_id))
try:
return ok(get_platform_store().delete_file_version(file_id, version_id))
except KeyError:
raise fail(404, "dataset version not found")
except ValueError as exc:
raise fail(400, str(exc))
async def _sync_dataset_file_to_compute_nodes(
store: Any,
dataset_id: str,
file_id: str,
filename: str,
content: bytes,
) -> list[dict[str, Any]]:
results: list[dict[str, Any]] = []
if get_settings().compute_mode == "simulator":
return results
target_name = Path(filename or f"{file_id}.jsonl").name
target_relative_path = f"datasets/{dataset_id}/{target_name}"
for node in store.compute_nodes():
if not node.get("enabled"):
continue
try:
result = await ComputeNodeClient(node["api_base_url"]).upload_file(
target_name,
content,
target_relative_path,
resource_type="dataset",
resource_id=dataset_id,
)
store.upsert_resource_replica(
node["id"],
"dataset",
dataset_id,
str(result.get("local_path") or ""),
)
results.append(
{
"node_id": node["id"],
"node_code": node.get("code"),
"success": True,
"local_path": result.get("local_path"),
"byte_size": result.get("byte_size"),
"checksum_sha256": result.get("checksum_sha256"),
}
)
except Exception as exc: # noqa: BLE001 - keep upload usable while exposing sync failures
results.append(
{
"node_id": node["id"],
"node_code": node.get("code"),
"success": False,
"error": str(exc),
}
)
return results
@router.post("/dataset-manage/upload/{dataset_id}")
async def upload_dataset_files(dataset_id: str, files: list[UploadFile] = File(default=[])) -> dict[str, Any]:
async def upload_dataset_files(
dataset_id: str,
files: list[UploadFile] = File(default=[]),
sync_to_compute: bool = Query(default=True),
) -> dict[str, Any]:
created: list[dict[str, Any]] = []
compute_sync: list[dict[str, Any]] = []
store = get_platform_store()
try:
store.dataset(dataset_id)
@@ -214,8 +381,19 @@ async def upload_dataset_files(dataset_id: str, files: list[UploadFile] = File(d
for file in files:
raw = await file.read()
content = raw.decode("utf-8", errors="replace")
created.append(store.add_dataset_file(conn, dataset_id, file.filename or "upload.jsonl", content))
return ok({"files": created})
created_file = store.add_dataset_file(conn, dataset_id, file.filename or "upload.jsonl", content)
created.append(created_file)
if sync_to_compute:
compute_sync.extend(
await _sync_dataset_file_to_compute_nodes(
store,
dataset_id,
created_file["id"],
created_file["name"],
raw,
)
)
return ok({"files": created, "compute_sync": compute_sync})
@router.get("/dataset-manage/download/{dataset_id}")
@@ -299,12 +477,45 @@ async def create_fine_tune(payload: dict[str, Any] = Body(...)) -> dict[str, Any
@router.post("/fine-tune/start")
async def start_fine_tune(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
store = get_platform_store()
try:
return ok(get_platform_store().start_task(payload))
return ok(await _submit_fine_tune_task(store, payload))
except KeyError:
raise fail(404, "fine tune task not found")
except RuntimeError as exc:
task_id = str(payload.get("task_id") or payload.get("id") or "")
if task_id:
store.mark_task_failed(task_id, str(exc))
raise fail(409, str(exc))
except Exception as exc: # noqa: BLE001 - mark task failed when remote submit fails
task_id = str(payload.get("task_id") or payload.get("id") or "")
if task_id:
store.mark_task_failed(task_id, str(exc))
raise fail(502, f"submit compute job failed: {exc}")
@router.post("/fine-tune/{task_id}/preflight")
async def fine_tune_preflight(task_id: str, payload: dict[str, Any] | None = Body(default=None)) -> dict[str, Any]:
try:
return ok(await _fine_tune_preflight(get_platform_store(), task_id, payload or {}, validate=True))
except KeyError:
raise fail(404, "fine tune task not found")
except RuntimeError as exc:
raise fail(409, str(exc))
except Exception as exc: # noqa: BLE001 - expose compute validation errors to training create page
raise fail(502, f"compute preflight failed: {exc}")
@router.post("/fine-tune/{task_id}/command-preview")
async def fine_tune_command_preview(task_id: str, payload: dict[str, Any] | None = Body(default=None)) -> dict[str, Any]:
try:
return ok(await _fine_tune_preflight(get_platform_store(), task_id, payload or {}, validate=False))
except KeyError:
raise fail(404, "fine tune task not found")
except RuntimeError as exc:
raise fail(409, str(exc))
except Exception as exc: # noqa: BLE001
raise fail(502, f"compute command preview failed: {exc}")
@router.get("/fine-tune/{task_id}")
@@ -315,6 +526,37 @@ async def fine_tune_detail(task_id: str) -> dict[str, Any]:
raise fail(404, "fine tune task not found")
@router.get("/fine-tune/{task_id}/logs")
async def fine_tune_logs(
task_id: str,
tail_lines: int | None = Query(default=500, ge=1, le=5000),
offset: int | None = Query(default=None, ge=0),
limit: int | None = Query(default=None, ge=1, le=5000),
) -> dict[str, Any]:
store = get_platform_store()
try:
task = store.task(task_id)
except KeyError:
raise fail(404, "fine tune task not found")
if task.get("compute_job_id"):
node = _node_for_task(task)
if node:
try:
logs = await ComputeNodeClient(node["api_base_url"]).job_logs(task["compute_job_id"], tail_lines, offset, limit)
if task.get("status") in {"queued", "running", "failed", "stopped", "completed"}:
try:
job = await ComputeNodeClient(node["api_base_url"]).get_job(task["compute_job_id"])
store.apply_compute_job(task_id, job)
except Exception:
pass
return ok({"source": "compute", **logs})
except Exception as exc: # noqa: BLE001 - keep failure reason visible even when log fetch fails
content = task.get("failure_reason") or f"fetch compute log failed: {exc}"
return ok({"job_id": task.get("compute_job_id"), "source": "task", "file": task.get("log_file") or "", "content": content, "size": f"{len(content.encode('utf-8'))} B"})
content = task.get("failure_reason") or ""
return ok({"job_id": task.get("compute_job_id") or "", "source": "task", "file": task.get("log_file") or "", "content": content, "size": f"{len(content.encode('utf-8'))} B"})
@router.put("/fine-tune/{task_id}")
async def update_fine_tune(task_id: str, payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
try:
@@ -325,8 +567,14 @@ async def update_fine_tune(task_id: str, payload: dict[str, Any] = Body(...)) ->
@router.post("/fine-tune/stop/{task_id}")
async def stop_fine_tune(task_id: str) -> dict[str, Any]:
store = get_platform_store()
try:
return ok(get_platform_store().stop_task(task_id))
task = store.task(task_id)
node = _node_for_task(task)
if task.get("compute_job_id") and node and get_settings().compute_mode != "simulator":
job = await ComputeNodeClient(node["api_base_url"]).stop_job(task["compute_job_id"])
return ok(store.apply_compute_job(task_id, job))
return ok(store.stop_task(task_id))
except KeyError:
raise fail(404, "fine tune task not found")
@@ -336,6 +584,27 @@ async def stop_fine_tune_alt(task_id: str) -> dict[str, Any]:
return await stop_fine_tune(task_id)
@router.post("/fine-tune/{task_id}/retry")
async def retry_fine_tune(task_id: str, payload: dict[str, Any] | None = Body(default=None)) -> dict[str, Any]:
store = get_platform_store()
payload = payload or {}
try:
task = store.task(task_id)
except KeyError:
raise fail(404, "fine tune task not found")
if task["status"] not in {"failed", "stopped"} and not payload.get("force"):
raise fail(409, "only failed or stopped tasks can be retried without force=true")
retry_payload = {**task, **payload, "task_id": task_id, "id": task_id}
store.reset_task_for_retry(task_id, retry_payload)
try:
return ok(await _submit_fine_tune_task(store, retry_payload))
except RuntimeError as exc:
raise fail(409, str(exc))
except Exception as exc: # noqa: BLE001 - mark retry failed when remote submit fails
store.mark_task_failed(task_id, str(exc))
raise fail(502, f"retry fine tune task failed: {exc}")
@router.delete("/fine-tune/{task_id}")
async def delete_fine_tune(task_id: str) -> dict[str, Any]:
get_platform_store().delete_task(task_id)
@@ -358,17 +627,217 @@ async def fine_tune_checkpoints(task_id: str) -> dict[str, Any]:
return ok(checkpoints)
@router.get("/model-eval")
async def model_eval_list() -> dict[str, Any]:
return ok(get_platform_store().eval_tasks())
@router.get("/model-eval/{task_id}")
async def model_eval_detail(task_id: str) -> dict[str, Any]:
try:
return ok(get_platform_store().eval_task(task_id))
except KeyError:
raise fail(404, "eval task not found")
@router.post("/model-eval/start")
async def model_eval_start(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
task = get_platform_store().create_eval_task(payload)
return ok({"task_id": task["id"], **task})
@router.delete("/model-eval/{task_id}")
async def model_eval_delete(task_id: str) -> dict[str, Any]:
get_platform_store().delete_eval_task(task_id)
return ok({"deleted": task_id})
@router.get("/dimension")
async def dimension_list() -> dict[str, Any]:
return ok(get_platform_store().dimensions())
@router.post("/dimension")
async def dimension_create(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
return ok(get_platform_store().create_dimension(payload))
@router.get("/dimension/{dimension_id}")
async def dimension_detail(dimension_id: str) -> dict[str, Any]:
try:
return ok(get_platform_store().dimension(dimension_id))
except KeyError:
raise fail(404, "dimension not found")
@router.put("/dimension/{dimension_id}")
async def dimension_update(dimension_id: str, payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
try:
return ok(get_platform_store().update_dimension(dimension_id, payload))
except KeyError:
raise fail(404, "dimension not found")
@router.delete("/dimension/{dimension_id}")
async def dimension_delete(dimension_id: str) -> dict[str, Any]:
get_platform_store().delete_dimension(dimension_id)
return ok({"deleted": dimension_id})
@router.get("/model-compare")
async def model_compare_list() -> dict[str, Any]:
return ok(get_platform_store().compare_tasks())
@router.post("/model-compare")
async def model_compare_create(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
task = get_platform_store().create_compare_task(payload)
return ok({"id": task["id"]})
@router.post("/model-compare/all/stop-all")
async def model_compare_stop_all() -> dict[str, Any]:
return ok({"stopped": True})
@router.post("/model-compare/stop-by-pid")
async def model_compare_stop_by_pid(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
return ok({"stopped": True, "pid": payload.get("pid")})
@router.get("/model-compare/{task_id}")
async def model_compare_detail(task_id: str) -> dict[str, Any]:
try:
return ok(get_platform_store().compare_task(task_id))
except KeyError:
raise fail(404, "compare task not found")
@router.delete("/model-compare/{task_id}")
async def model_compare_delete(task_id: str) -> dict[str, Any]:
get_platform_store().delete_compare_task(task_id)
return ok({"deleted": task_id})
@router.get("/model-compare/{task_id}/load-status")
async def model_compare_load_status(task_id: str) -> dict[str, Any]:
try:
task = get_platform_store().compare_task(task_id)
except KeyError:
raise fail(404, "compare task not found")
load_status = task.get("load_status") or {"loaded_models": []}
if isinstance(load_status, str):
try:
load_status = json.loads(load_status)
except json.JSONDecodeError:
load_status = {"loaded_models": []}
return ok({"all_ready": all(item.get("status") in {"ready", "running"} for item in load_status.get("loaded_models", [])), **load_status})
@router.post("/model-compare/{task_id}/load-status")
async def model_compare_update_load_status(task_id: str, payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
try:
return ok(get_platform_store().update_compare_task(task_id, {"load_status": payload.get("load_status") or {"loaded_models": []}}))
except KeyError:
raise fail(404, "compare task not found")
@router.post("/model-compare/{task_id}/load")
async def model_compare_load(task_id: str) -> dict[str, Any]:
try:
task = get_platform_store().compare_task(task_id)
models = task.get("models") or []
if isinstance(models, str):
try:
models = json.loads(models)
except json.JSONDecodeError:
models = []
loaded_models = [
{
"model_id": item.get("model_id"),
"model_name": item.get("model_name"),
"status": "ready",
"pid": 45000 + index,
"port": item.get("port") or 18000 + index,
}
for index, item in enumerate(models)
if isinstance(item, dict)
]
return ok(get_platform_store().update_compare_task(task_id, {"status": "loaded", "load_status": {"loaded_models": loaded_models}}))
except KeyError:
raise fail(404, "compare task not found")
@router.post("/model-compare/{task_id}/unload")
async def model_compare_unload(task_id: str) -> dict[str, Any]:
try:
return ok(get_platform_store().update_compare_task(task_id, {"status": "pending", "load_status": {"loaded_models": []}}))
except KeyError:
raise fail(404, "compare task not found")
@router.post("/model-compare/{task_id}/start-model")
async def model_compare_start_model(task_id: str, payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
return ok({"pid": 45001, "port": payload.get("port") or 18001, "task_id": task_id})
@router.post("/model-compare/chat-with-port")
async def model_compare_chat_with_port(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
question = ""
for message in payload.get("messages") or []:
if message.get("role") == "user":
question = str(message.get("content") or "")
content = f"当前后端已收到推理请求:{question[:120]}"
return ok({"response": content, "content": content})
@router.post("/model-compare/stream-chat")
async def model_compare_stream_chat(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
question = payload.get("user_question") or payload.get("question") or ""
return ok({"response": f"当前后端已收到流式推理请求:{str(question)[:120]}"})
@router.post("/model-chat/batch")
async def model_chat_batch(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
return ok({"responses": [], "request": payload})
@router.post("/model-chat/local/chat")
async def model_chat_local(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
return ok({"response": "local chat adapter is not connected yet", "request": payload})
@router.post("/model-chat/local/preload")
async def model_chat_local_preload(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
return ok({"loaded": True, "request": payload})
@router.post("/model-chat/trained/preload")
async def model_chat_trained_preload(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
return ok({"loaded": True, "request": payload})
@router.get("/compute/nodes")
async def compute_nodes() -> dict[str, Any]:
return ok(get_platform_store().compute_nodes())
@router.get("/compute/nodes/{node_id}")
async def compute_node_detail(node_id: str) -> dict[str, Any]:
node = next((item for item in get_platform_store().compute_nodes() if item["id"] == node_id), None)
if not node:
raise fail(404, "compute node not found")
return ok(node)
@router.post("/compute/nodes")
async def create_compute_node(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
try:
return ok(get_platform_store().create_compute_node(payload))
except KeyError as exc:
raise fail(400, f"missing field: {exc}")
except ValueError as exc:
raise fail(400, str(exc))
@router.put("/compute/nodes/{node_id}")
@@ -377,11 +846,47 @@ async def update_compute_node(node_id: str, payload: dict[str, Any] = Body(...))
return ok(get_platform_store().update_compute_node(node_id, payload))
except KeyError:
raise fail(404, "compute node not found")
except ValueError as exc:
raise fail(400, str(exc))
@router.post("/compute/nodes/{node_id}/test-connection")
async def test_compute_node(node_id: str) -> dict[str, Any]:
return ok({"node_id": node_id, "success": True, "latency_ms": 12})
store = get_platform_store()
node = next((item for item in store.compute_nodes() if item["id"] == node_id), None)
if not node:
raise fail(404, "compute node not found")
client = ComputeNodeClient(node["api_base_url"])
try:
result = await client.test_connection()
store.replace_node_gpus(node_id, result["gpus"])
updated = store.update_compute_node_health(node_id, result["health"], True)
return ok(
{
"node_id": node_id,
"success": True,
"latency_ms": result["latency_ms"],
"gpu_count": len(result["gpus"]),
"health": updated["health_detail"],
}
)
except Exception as exc: # noqa: BLE001 - return the connection error for node maintenance
updated = store.update_compute_node_health(node_id, {}, False, str(exc))
return ok(
{
"node_id": node_id,
"success": False,
"latency_ms": 0,
"gpu_count": updated.get("gpu_count", 0),
"error": str(exc),
"health": updated["health_detail"],
}
)
@router.post("/compute/nodes/{node_id}/health-check")
async def health_check_compute_node(node_id: str) -> dict[str, Any]:
return await test_compute_node(node_id)
@router.post("/compute/nodes/{node_id}/enable")
@@ -404,6 +909,38 @@ async def compute_node_replicas(node_id: str) -> dict[str, Any]:
return ok(get_platform_store().replicas(node_id))
@router.get("/compute/nodes/{node_id}/engines")
async def compute_node_engines(node_id: str) -> dict[str, Any]:
node = next((item for item in get_platform_store().compute_nodes() if item["id"] == node_id), None)
if not node:
raise fail(404, "compute node not found")
health = node.get("health_detail") or {}
live_error = ""
try:
health = await ComputeNodeClient(node["api_base_url"]).health()
except Exception as exc: # noqa: BLE001 - stored health is enough for offline node detail
live_error = str(exc)
capabilities = health.get("capabilities") or node.get("capabilities") or []
return ok(
{
"node_id": node_id,
"items": [
{
"engine": "llama_factory",
"display_name": "LLaMA-Factory",
"status": "available" if "llama_factory" in capabilities else "unknown",
"version": health.get("llama_factory_version") or "",
"home": health.get("llama_factory_home") or "",
"home_exists": bool(health.get("llama_factory_home_exists")),
"capabilities": capabilities,
"execution_mode": health.get("execution_mode") or "",
"last_error": live_error,
}
],
}
)
@router.get("/compute/gpus")
async def compute_gpus() -> dict[str, Any]:
return ok(get_platform_store().gpus())
@@ -414,10 +951,107 @@ async def compute_queue() -> dict[str, Any]:
return ok(get_platform_store().queue())
@router.get("/compute/jobs/{job_id}")
async def compute_job_detail(job_id: str) -> dict[str, Any]:
task = _task_for_compute_job(job_id)
if not task:
raise fail(404, "compute job not found")
node = _node_for_task(task)
if not node:
raise fail(404, "compute node not found")
return ok(await ComputeNodeClient(node["api_base_url"]).get_job(job_id))
@router.post("/compute/jobs/{job_id}/stop")
async def compute_job_stop(job_id: str) -> dict[str, Any]:
task = _task_for_compute_job(job_id)
if not task:
raise fail(404, "compute job not found")
node = _node_for_task(task)
if not node:
raise fail(404, "compute node not found")
job = await ComputeNodeClient(node["api_base_url"]).stop_job(job_id)
get_platform_store().apply_compute_job(task["id"], job)
return ok(job)
@router.get("/compute/jobs/{job_id}/logs")
async def compute_job_logs(
job_id: str,
tail_lines: int | None = Query(default=200, ge=1, le=5000),
offset: int | None = Query(default=None, ge=0),
limit: int | None = Query(default=None, ge=1, le=5000),
) -> dict[str, Any]:
task = _task_for_compute_job(job_id)
if not task:
raise fail(404, "compute job not found")
node = _node_for_task(task)
if not node:
raise fail(404, "compute node not found")
return ok(await ComputeNodeClient(node["api_base_url"]).job_logs(job_id, tail_lines, offset, limit))
@router.post("/compute/jobs/{job_id}/retry")
async def compute_job_retry(job_id: str, payload: dict[str, Any] | None = Body(default=None)) -> dict[str, Any]:
store = get_platform_store()
payload = payload or {}
task = _task_for_compute_job(job_id)
if not task:
raise fail(404, "compute job not found")
return await retry_fine_tune(task["id"], payload)
@router.post("/compute/jobs/{job_id}/priority")
async def compute_job_priority(job_id: str, payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
task = _task_for_compute_job(job_id)
if not task:
raise fail(404, "compute job not found")
priority = str(payload.get("priority") or "normal")
return ok(get_platform_store().update_task_priority(task["id"], priority))
@router.post("/internal/compute-sync/jobs/poll")
async def poll_compute_jobs() -> dict[str, Any]:
return ok(await poll_compute_jobs_once())
@router.post("/internal/compute-sync/resources")
async def create_compute_sync(payload: dict[str, Any] = Body(...)) -> dict[str, Any]:
sync_id = get_platform_store().create_sync_job(payload.get("target_node_id", "node_01"), payload)
return ok(get_platform_store().sync_job(sync_id))
store = get_platform_store()
node_id = payload.get("target_node_id") or payload.get("target_compute_node_id")
if not node_id:
raise fail(400, "target_node_id is required")
node = next((item for item in store.compute_nodes() if item["id"] == node_id), None)
if not node:
raise fail(404, "compute node not found")
sync_id = store.create_sync_job(node_id, payload)
replicas = []
failures = []
resources = payload.get("resources") or []
for resource in resources:
if not resource.get("source_path"):
continue
try:
result = await ComputeNodeClient(node["api_base_url"]).import_local_file(
{
"source_path": resource["source_path"],
"target_relative_path": resource.get("target_relative_path"),
"resource_type": resource.get("resource_type"),
"resource_id": resource.get("resource_id"),
}
)
replicas.append(
store.upsert_resource_replica(
node_id,
str(resource.get("resource_type") or "file"),
str(resource.get("resource_id") or result["id"]),
result["local_path"],
)
)
except Exception as exc: # noqa: BLE001 - collect per-resource failures
failures.append({"resource_id": str(resource.get("resource_id")), "error": str(exc)})
store.update_sync_job(sync_id, "failed" if failures else "completed", 100 if not failures else 99, completed=True)
return ok({"sync": store.sync_job(sync_id), "replicas": replicas, "failed": failures})
@router.get("/internal/compute-sync/resources/{sync_id}")