ADD file via upload
This commit is contained in:
parent
2cf2c050de
commit
aa7a52fc0b
|
|
@ -0,0 +1,684 @@
|
|||
import requests
|
||||
import json
|
||||
import concurrent.futures
|
||||
import time
|
||||
import logging
|
||||
import os
|
||||
import threading
|
||||
from uuid import uuid4
|
||||
from typing import Dict, List, Optional
|
||||
from datetime import datetime
|
||||
|
||||
|
||||
# 日志配置
|
||||
logging.basicConfig(
|
||||
level=logging.INFO,
|
||||
format='%(asctime)s - %(levelname)s - %(message)s',
|
||||
handlers=[logging.StreamHandler()]
|
||||
)
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# 全局任务字典（key=target_id，value=任务详情）
|
||||
task_map: Dict[str, Dict] = {}
|
||||
# 线程锁
|
||||
task_map_lock = threading.Lock()
|
||||
|
||||
# 集群资源
|
||||
cluster_resources: Dict[str, Dict] = {
|
||||
# modelarts集群 （ID：1790300942428540928）
|
||||
"1790300942428540928": {
|
||||
"total": {"CPU": 96, "MEMORY": 1024, "NPU": 4},
|
||||
"available": {"CPU": 48, "MEMORY": 512, "NPU": 2}
|
||||
},
|
||||
# openi（集群ID：1865927992266461184）
|
||||
"1865927992266461184": {
|
||||
"total": {"CPU": 48, "MEMORY": 512, "NPU": 1},
|
||||
"available": {"CPU": 24, "MEMORY": 256, "NPU": 1}
|
||||
},
|
||||
# octopus-189（章鱼集群，ID：1865927992266462181）
|
||||
"1865927992266462181": {
|
||||
"total": {"CPU": 48, "MEMORY": 512, "NPU": 1},
|
||||
"available": {"CPU": 24, "MEMORY": 256, "NPU": 1}
|
||||
},
|
||||
# shuguangAi（曙光集群，ID：1777240145309732864）
|
||||
"1777240145309732864": {
|
||||
"total": {"CPU": 48, "MEMORY": 512, "NPU": 1},
|
||||
"available": {"CPU": 24, "MEMORY": 256, "NPU": 1}
|
||||
},
|
||||
}
|
||||
|
||||
# 数据集
|
||||
class DatasetInfo(Dict):
|
||||
id: str # 数据集唯一标识
|
||||
name: str # 数据集名称
|
||||
size: float # 数据集大小（字节)
|
||||
status: str # 状态（如："uploaded"）
|
||||
is_uploaded: bool # 是否已上传
|
||||
upload_time: Optional[datetime] # 上传时间（未上传时为None）
|
||||
description: Optional[str] # 可选描述信息
|
||||
|
||||
# 算法
|
||||
class AlgorithmInfo(Dict):
|
||||
id: str # 算法唯一标识
|
||||
name: str # 算法名称
|
||||
size: float # 数据集大小（字节)
|
||||
status: str # 状态（如："uploaded"）
|
||||
is_uploaded: bool # 是否已上传
|
||||
upload_time: Optional[datetime] # 上传时间（未上传时为None）
|
||||
description: Optional[str] # 可选描述信息
|
||||
|
||||
# 集群数据
|
||||
class ClusterDatas(Dict):
|
||||
datasets: Dict[str, DatasetInfo] # Key is dataset ID
|
||||
algorithms: Dict[str, AlgorithmInfo] # Key is algorithm ID
|
||||
|
||||
|
||||
from typing import Dict, Optional
|
||||
from datetime import datetime
|
||||
|
||||
|
||||
class TaskTemplate(Dict):
|
||||
"""集群任务模板数据结构（继承Dict，支持字典操作和类型注解）"""
|
||||
# 任务核心标识
|
||||
target_id: str # 任务唯一标识
|
||||
task_name: str # 任务名称
|
||||
package_name: str # 任务包名称
|
||||
# 关联资源
|
||||
dataset_name: str # 关联数据集名称
|
||||
code_Id: str # 关联算法ID（原模板字段名保留）
|
||||
# 资源配置（嵌套字典：CPU/MEMORY/NPU）
|
||||
resource: Dict[str, int] # 资源配置字典，键为"CPU"/"MEMORY"/"NPU"，值为整数
|
||||
# 任务状态与时间
|
||||
status: str # 任务状态（如："submitted"）
|
||||
submit_time: str # 提交时间（字符串格式，如："2025-07-15 19:42:03"）
|
||||
# 附加信息
|
||||
file_location: str # 任务文件存储路径
|
||||
error_msg: str # 错误信息（为空表示无错误）
|
||||
retry_count: int # 当前重试次数
|
||||
max_retries: int # 最大重试次数
|
||||
|
||||
def __init__(self, **kwargs):
|
||||
default_values = {
|
||||
"target_id": "",
|
||||
"task_name": "",
|
||||
"package_name": "",
|
||||
"dataset_name": "",
|
||||
"code_Id": "",
|
||||
"resource": {"CPU": 0, "MEMORY": 0, "NPU": 0}, # 资源默认值（整数类型）
|
||||
"status": "submitted", # 初始状态：待提交
|
||||
"submit_time": "",
|
||||
"file_location": "",
|
||||
"error_msg": "",
|
||||
"retry_count": 0,
|
||||
"max_retries": 5
|
||||
}
|
||||
# 调用父类Dict的初始化，确保支持字典操作（如task_template["status"]）
|
||||
super().__init__(default_values)
|
||||
|
||||
# 将字段绑定为实例属性，支持点语法访问（如task_template.status）
|
||||
for key, value in default_values.items():
|
||||
setattr(self, key, value)
|
||||
|
||||
class TaskMonitorThread(threading.Thread):
|
||||
"任务监控线程：轮询任务状态，重置可重试任务"
|
||||
def __init__(self, check_interval: int = 30, name: Optional[str] = None):
|
||||
super().__init__(name=name or "TaskMonitorThread")
|
||||
self.check_interval = check_interval # 轮询间隔（秒）
|
||||
self._stop_event = threading.Event()
|
||||
self.all_tasks_completed = threading.Event() # 通知所有任务完成的事件
|
||||
|
||||
def run(self) -> None:
|
||||
logger.info(f"监控线程启动 | 轮询间隔: {self.check_interval}秒 | 线程ID: {self.ident}")
|
||||
while not self._stop_event.is_set():
|
||||
with task_map_lock:
|
||||
all_completed = True # 标记是否所有任务都已完成
|
||||
retry_tasks = [] # 可重试任务列表
|
||||
|
||||
# 遍历所有任务检查状态
|
||||
for task in task_map.values():
|
||||
status = task["status"]
|
||||
# 忽略已完成状态（成功）
|
||||
if status in ["succeed"]:
|
||||
continue
|
||||
# 非完成状态，检查是否可重试
|
||||
if status in ["failed", "error"]:
|
||||
if task["retry_count"] < task["max_retries"]:
|
||||
retry_tasks.append(task) # 加入重试列表
|
||||
all_completed = False
|
||||
else:
|
||||
# 达到最大重试次数，标记为重试耗尽
|
||||
task["status"] = "retry_exhausted"
|
||||
logger.warning(f"任务 {task['task_name']} 达到最大重试次数({task['max_retries']})，停止重试")
|
||||
all_completed = False
|
||||
else:
|
||||
# 其他状态（如submitted），未完成
|
||||
all_completed = False
|
||||
|
||||
# 处理可重试任务（重置状态为submitted）
|
||||
if retry_tasks:
|
||||
logger.info(f"发现 {len(retry_tasks)} 个可重试任务，重置状态为submitted")
|
||||
for task in retry_tasks:
|
||||
task["status"] = "submitted"
|
||||
task["retry_count"] += 1
|
||||
logger.info(
|
||||
f"任务 {task['task_name']} (target_id: {task['target_id']}) | "
|
||||
f"重试次数: {task['retry_count']}/{task['max_retries']} | 状态已重置"
|
||||
)
|
||||
|
||||
# 所有任务进入最终状态，通知提交线程停止
|
||||
if all_completed:
|
||||
logger.info("所有任务已进入最终状态（成功或重试耗尽）")
|
||||
self.all_tasks_completed.set()
|
||||
break
|
||||
|
||||
# 等待下一次轮询
|
||||
self._stop_event.wait(self.check_interval)
|
||||
logger.info(f"监控线程结束 | 线程ID: {self.ident}")
|
||||
|
||||
def stop(self) -> None:
|
||||
"""停止监控线程"""
|
||||
self._stop_event.set()
|
||||
|
||||
|
||||
class TaskSubmitThread(threading.Thread):
|
||||
"""任务提交线程：循环提交待处理任务，响应监控线程信号"""
|
||||
|
||||
def __init__(self, max_workers: int = 3, name: Optional[str] = None):
|
||||
super().__init__(name=name or "TaskSubmitThread")
|
||||
self.max_workers = max_workers # 并发提交数
|
||||
self.monitor_thread = monitor_thread # 关联监控线程，获取完成信号
|
||||
self._stop_event = threading.Event()
|
||||
|
||||
def run(self) -> None:
|
||||
logger.info(f"任务提交线程启动 | 并发数: {self.max_workers} | 线程ID: {self.ident}")
|
||||
try:
|
||||
# 循环提交任务，直到监控线程通知所有任务完成
|
||||
while not self._stop_event.is_set() and not self.monitor_thread.all_tasks_completed.is_set():
|
||||
# 1. 查询集群资源
|
||||
available_resources = search_resource()
|
||||
if not available_resources:
|
||||
logger.error("未获取到集群资源信息，10秒后重试...")
|
||||
self._stop_event.wait(10)
|
||||
continue
|
||||
|
||||
# 2. 提交满足条件的任务
|
||||
commit_tasks(available_resources, self.max_workers)
|
||||
|
||||
# 3. 等待下次检查（避免高频查询）
|
||||
self._stop_event.wait(5) # 5秒后再次检查任务队列
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"任务提交线程异常终止: {str(e)}", exc_info=True)
|
||||
finally:
|
||||
logger.info(f"任务提交线程结束 | 线程ID: {self.ident}")
|
||||
|
||||
def stop(self) -> None:
|
||||
"""停止提交线程"""
|
||||
self._stop_event.set()
|
||||
|
||||
|
||||
def generate_tasks() -> List[Dict]:
|
||||
"""生成任务模板列表（包含差异化配置）"""
|
||||
base_tasks = [
|
||||
{
|
||||
"task_name_template": "{prefix}-jointCloudAi-trainingtask",
|
||||
"prefix": "AA",
|
||||
"dataset_name": "data1.zip",
|
||||
"code_Id": 1,
|
||||
"file_location": "D:/数据集/cnn数据集/data1/",
|
||||
"CPU": 24,
|
||||
"MEMORY": 256,
|
||||
"NPU": 1
|
||||
},
|
||||
{
|
||||
"task_name_template": "{prefix}-jointCloudAi-trainingtask",
|
||||
"prefix": "AB",
|
||||
"dataset_name": "cifar-10-python.tar.gz",
|
||||
"file_location": "D:/数据集/cnn数据集/data2/",
|
||||
"code_Id": 1,
|
||||
"CPU": 24,
|
||||
"MEMORY": 256,
|
||||
"NPU": 1
|
||||
},
|
||||
{
|
||||
"task_name_template": "{prefix}-jointCloudAi-trainingtask",
|
||||
"prefix": "AC",
|
||||
"dataset_name": "cifar-100-python.tar.gz",
|
||||
"file_location": "D:/数据集/cnn数据集/data3/",
|
||||
"code_Id": 1,
|
||||
"CPU": 24,
|
||||
"MEMORY": 256,
|
||||
"NPU": 1
|
||||
},
|
||||
{
|
||||
"task_name_template": "{prefix}-jointCloudAi-trainingtask",
|
||||
"prefix": "AD",
|
||||
"dataset_name": "cifar-100-python.tar.gz",
|
||||
"file_location": "D:/数据集/cnn数据集/data3/",
|
||||
"code_Id": 1,
|
||||
"CPU": 24,
|
||||
"MEMORY": 256,
|
||||
"NPU": 1
|
||||
},
|
||||
{
|
||||
"task_name_template": "{prefix}-jointCloudAi-trainingtask",
|
||||
"prefix": "AE",
|
||||
"dataset_name": "dev.jsonl",
|
||||
"file_location": "D:/数据集/transfomer数据集/BoolQ/",
|
||||
"code_Id": 1,
|
||||
"CPU": 24,
|
||||
"MEMORY": 256,
|
||||
"NPU": 1
|
||||
},
|
||||
{
|
||||
"task_name_template": "{prefix}-jointCloudAi-trainingtask",
|
||||
"prefix": "AF",
|
||||
"dataset_name": "ceval.zip",
|
||||
"file_location": "D:/数据集/transfomer数据集/CEval/",
|
||||
"code_Id": 1,
|
||||
"CPU": 24,
|
||||
"MEMORY": 256,
|
||||
"NPU": 1
|
||||
},
|
||||
{
|
||||
"task_name_template": "{prefix}-jointCloudAi-trainingtask",
|
||||
"prefix": "AG",
|
||||
"dataset_name": "CMMLU.zip",
|
||||
"file_location": "D:/数据集/transfomer数据集/CMMLU/",
|
||||
"code_Id": 1,
|
||||
"CPU": 24,
|
||||
"MEMORY": 256,
|
||||
"NPU": 1
|
||||
},
|
||||
{
|
||||
"task_name_template": "{prefix}-jointCloudAi-trainingtask",
|
||||
"prefix": "AH",
|
||||
"dataset_name": "mental_health.csv",
|
||||
"file_location": "D:/数据集/transfomer数据集/GLUE(imdb)/imdb/",
|
||||
"code_Id": 1,
|
||||
"CPU": 24,
|
||||
"MEMORY": 256,
|
||||
"NPU": 1
|
||||
},
|
||||
{
|
||||
"task_name_template": "{prefix}-jointCloudAi-trainingtask",
|
||||
"prefix": "AI",
|
||||
"dataset_name": "GSM8K.jsonl",
|
||||
"file_location": "D:/数据集/transfomer数据集/GSM8K/GSM8K/",
|
||||
"code_Id": 1,
|
||||
"CPU": 24,
|
||||
"MEMORY": 256,
|
||||
"NPU": 1
|
||||
},
|
||||
{
|
||||
"task_name_template": "{prefix}-jointCloudAi-trainingtask",
|
||||
"prefix": "AJ",
|
||||
"dataset_name": "human-eval.jsonl",
|
||||
"file_location": "D:/数据集/transfomer数据集/HumanEval/",
|
||||
"code_Id": 1,
|
||||
"CPU": 24,
|
||||
"MEMORY": 256,
|
||||
"NPU": 1
|
||||
},
|
||||
{
|
||||
"task_name_template": "{prefix}-jointCloudAi-trainingtask",
|
||||
"prefix": "AK",
|
||||
"dataset_name": "HumanEval_X.zip",
|
||||
"file_location": "D:/数据集/transfomer数据集/HumanEval_X/",
|
||||
"code_Id": 1,
|
||||
"CPU": 24,
|
||||
"MEMORY": 256,
|
||||
"NPU": 1
|
||||
}
|
||||
]
|
||||
logger.info(f"成功生成 {len(base_tasks)} 个任务模板")
|
||||
return base_tasks
|
||||
|
||||
|
||||
from typing import List, Dict
|
||||
import uuid
|
||||
import time
|
||||
import logging
|
||||
from threading import Lock
|
||||
|
||||
# 全局变量定义
|
||||
task_map = {}
|
||||
task_map_lock = Lock()
|
||||
# 定义任务模板结构（复用之前定义的）
|
||||
task_template = {
|
||||
"target_id": "",
|
||||
"task_name": "",
|
||||
"package_name": "",
|
||||
"dataset_name": "",
|
||||
"code_Id": "",
|
||||
"resource": {
|
||||
"CPU": 0,
|
||||
"MEMORY": 0,
|
||||
"NPU": 0
|
||||
},
|
||||
"status": "submitted",
|
||||
"submit_time": "",
|
||||
"file_location": "",
|
||||
"error_msg": "",
|
||||
"retry_count": 0,
|
||||
"max_retries": 5
|
||||
}
|
||||
|
||||
|
||||
def read_tasks(templates: List[Dict]) -> None:
|
||||
"""将任务模板转换为可提交的任务字典（新增重试相关字段）"""
|
||||
global task_map, task_template
|
||||
with task_map_lock:
|
||||
task_map = {} # 清空历史任务
|
||||
if not templates:
|
||||
logger.warning("任务模板为空，跳过任务创建")
|
||||
return
|
||||
|
||||
for template in templates:
|
||||
try:
|
||||
# 重置任务模板
|
||||
task = task_template.copy()
|
||||
|
||||
target_id = str(uuid4()) # 生成唯一任务ID
|
||||
submit_time_str = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
|
||||
|
||||
# 设置任务属性
|
||||
task["target_id"] = target_id
|
||||
task["task_name"] = template["task_name_template"].format(prefix=template["prefix"])
|
||||
task["package_name"] = f"{template['prefix'].lower()}-training-pkg"
|
||||
task["dataset_name"] = template["dataset_name"]
|
||||
task["code_Id"] = template["code_Id"]
|
||||
task["resource"] = {
|
||||
"CPU": template["CPU"],
|
||||
"MEMORY": template["MEMORY"],
|
||||
"NPU": template["NPU"]
|
||||
}
|
||||
task["status"] = "submitted"
|
||||
task["submit_time"] = submit_time_str
|
||||
task["file_location"] = template["file_location"]
|
||||
|
||||
task_map[target_id] = task
|
||||
logger.info(f"任务创建成功 | task_name: {task['task_name']} | target_id: {target_id}")
|
||||
except KeyError as e:
|
||||
logger.error(f"任务模板缺少字段: {e} | 模板内容: {template}")
|
||||
except Exception as e:
|
||||
logger.error(f"创建任务失败: {str(e)} | 模板内容: {template}")
|
||||
|
||||
|
||||
def search_resource() -> Dict[str, Dict]:
|
||||
"""查询集群资源（返回全局集群资源字典，包含总资源和可用资源）"""
|
||||
global cluster_resources
|
||||
logger.info(f"查询到集群资源: {cluster_resources}")
|
||||
return cluster_resources
|
||||
|
||||
|
||||
def get_token() -> Optional[str]:
|
||||
"""获取认证Token"""
|
||||
login_url = "http://119.45.255.234:30180/jcc-admin/admin/login"
|
||||
login_payload = {"username": "admin", "password": "Nudt@123"}
|
||||
try:
|
||||
response = requests.post(login_url, json=login_payload, timeout=10)
|
||||
response.raise_for_status()
|
||||
result = response.json()
|
||||
if result.get("code") == 200 and "data" in result and "token" in result["data"]:
|
||||
logger.info("Token获取成功")
|
||||
return result["data"]["token"]
|
||||
else:
|
||||
logger.error(f"Token获取失败 | 响应: {result}")
|
||||
return None
|
||||
except requests.exceptions.RequestException as e:
|
||||
logger.error(f"登录请求异常: {str(e)}", exc_info=True)
|
||||
return None
|
||||
|
||||
|
||||
def submit_single_task(task: Dict) -> bool:
|
||||
"""提交单个任务到集群（失败时更新状态为failed/error）"""
|
||||
token = get_token()
|
||||
if not token:
|
||||
with task_map_lock:
|
||||
task["status"] = "failed"
|
||||
task["error_msg"] = "获取Token失败"
|
||||
return False
|
||||
|
||||
headers = {
|
||||
'Content-Type': 'application/json',
|
||||
'Authorization': f'Bearer {token}'
|
||||
}
|
||||
task_name = task["task_name"]
|
||||
package_name = task["package_name"]
|
||||
file_name = task["dataset_name"]
|
||||
file_location = task["file_location"]
|
||||
son_code_Id = task["code_Id"]
|
||||
file_path = os.path.join(file_location, file_name)
|
||||
|
||||
try:
|
||||
# 第一步：创建数据集文件夹
|
||||
create_url = "http://119.45.255.234:30180/jsm/jobSet/createPackage"
|
||||
create_payload = {
|
||||
"userID": 5,
|
||||
"name": package_name,
|
||||
"dataType": "dataset",
|
||||
"packageID": 0,
|
||||
"uploadPriority": {"type": "specify", "clusters": ["1790300942428540928"]},
|
||||
"bindingInfo": {
|
||||
"clusterIDs": ["1790300942428540928"],
|
||||
"name": package_name,
|
||||
"category": "image",
|
||||
"type": "dataset",
|
||||
"imageID": "",
|
||||
"bias": [],
|
||||
"region": [],
|
||||
"chip": ["ASCEND"],
|
||||
"selectedCluster": [],
|
||||
"modelType": "",
|
||||
"env": "",
|
||||
"version": "",
|
||||
"packageID": 0,
|
||||
"points": 0
|
||||
}
|
||||
}
|
||||
create_resp = requests.post(create_url, json=create_payload, headers=headers, timeout=15)
|
||||
create_resp.raise_for_status()
|
||||
create_result = create_resp.json()
|
||||
if create_result.get("code") != 200:
|
||||
raise ValueError(f"创建文件夹失败 | API返回: {create_result}")
|
||||
packageID = create_result["data"]["newPackage"]["packageID"]
|
||||
logger.info(f"[{task_name}] 第一步：创建文件夹成功 | packageID: {packageID}")
|
||||
|
||||
# 第三步：上传数据集文件
|
||||
upload_url = "http://119.45.255.234:30180/jcs/object/upload"
|
||||
if not os.path.exists(file_path):
|
||||
raise FileNotFoundError(f"数据集文件不存在 | path: {file_path}")
|
||||
|
||||
info_data = {
|
||||
"userID": 5,
|
||||
"packageID": packageID,
|
||||
"loadTo": [3],
|
||||
"loadToPath": [f"/dataset/5/{package_name}/"]
|
||||
}
|
||||
file_headers = {'Authorization': f'Bearer {token}'}
|
||||
with open(file_path, 'rb') as f:
|
||||
form_data = {"info": (None, json.dumps(info_data)), "files": f}
|
||||
upload_resp = requests.post(upload_url, files=form_data, headers=file_headers, timeout=300)
|
||||
upload_resp.raise_for_status()
|
||||
upload_result = upload_resp.json()
|
||||
if upload_result.get("code") != 200:
|
||||
raise ValueError(f"文件上传失败 | API返回: {upload_result}")
|
||||
object_id = upload_result["data"]["uploadeds"][0]["objectID"]
|
||||
logger.info(f"[{task_name}] 第三步：文件上传成功 | objectID: {object_id}")
|
||||
|
||||
# 第四步：通知上传完成
|
||||
notify_url = "http://119.45.255.234:30180/jsm/jobSet/notifyUploaded"
|
||||
notify_payload = {
|
||||
"userID": 5,
|
||||
"packageID": packageID,
|
||||
"uploadParams": {
|
||||
"dataType": "dataset",
|
||||
"uploadInfo": {"type": "local", "localPath": file_name, "objectIDs": [object_id]}
|
||||
}
|
||||
}
|
||||
notify_resp = requests.post(notify_url, json=notify_payload, headers=headers, timeout=15)
|
||||
notify_resp.raise_for_status()
|
||||
notify_result = notify_resp.json()
|
||||
if notify_result.get("code") != 200:
|
||||
raise ValueError(f"通知上传完成失败 | API返回: {notify_result}")
|
||||
logger.info(f"[{task_name}] 第四步：通知上传完成成功")
|
||||
|
||||
# 第七步：绑定数据集到集群
|
||||
bind_url = "http://119.45.255.234:30180/jsm/jobSet/binding"
|
||||
bind_payload = {
|
||||
"userID": 5,
|
||||
"info": {"type": "dataset", "packageID": packageID, "clusterIDs": ["1790300942428540928"]}
|
||||
}
|
||||
bind_resp = requests.post(bind_url, json=bind_payload, headers=headers, timeout=15)
|
||||
bind_resp.raise_for_status()
|
||||
bind_result = bind_resp.json()
|
||||
if bind_result.get("code") != 200:
|
||||
raise ValueError(f"绑定集群失败 | API返回: {bind_result}")
|
||||
logger.info(f"[{task_name}] 第七步：数据集绑定集群成功")
|
||||
|
||||
# 第八步：查询绑定ID
|
||||
query_bind_url = "http://119.45.255.234:30180/jsm/jobSet/queryBinding"
|
||||
query_bind_payload = {
|
||||
"dataType": "dataset",
|
||||
"param": {"userID": 5, "bindingID": -1, "type": "private"}
|
||||
}
|
||||
query_bind_resp = requests.post(query_bind_url, json=query_bind_payload, headers=headers, timeout=15).json()
|
||||
if query_bind_resp.get("code") != 200:
|
||||
raise ValueError(f"查询绑定失败 | API返回: {query_bind_resp}")
|
||||
|
||||
# 提取目标绑定ID
|
||||
target_id = None
|
||||
for data in query_bind_resp["data"]["datas"]:
|
||||
if data["info"]["name"] == package_name:
|
||||
target_id = data["ID"]
|
||||
break
|
||||
if not target_id:
|
||||
raise ValueError(f"未找到package_name={package_name}的绑定ID")
|
||||
logger.info(f"[{task_name}] 第八步：获取绑定ID成功 | target_id: {target_id}")
|
||||
|
||||
# 第九步：提交训练任务
|
||||
submit_url = "http://119.45.255.234:30180/jsm/jobSet/submit"
|
||||
task_res = task["resource"]
|
||||
submit_payload = {
|
||||
"userID": 5,
|
||||
"jobSetInfo": {
|
||||
"jobs": [
|
||||
{
|
||||
"localJobID": "1",
|
||||
"name": task_name,
|
||||
"description": "自动提交的CNN训练任务",
|
||||
"type": "AI",
|
||||
"files": {
|
||||
"dataset": {"type": "Binding", "bindingID": target_id},
|
||||
"model": {"type": "Binding", "bindingID": 421},
|
||||
"image": {"type": "Image", "imageID": 11}
|
||||
},
|
||||
"jobResources": {
|
||||
"scheduleStrategy": "dataLocality",
|
||||
"clusters": [
|
||||
{
|
||||
"clusterID": "1790300942428540928",
|
||||
"runtime": {"envs": {}, "params": {}},
|
||||
"code": {"type": "Binding", "bindingID": son_code_Id},
|
||||
"resources": [
|
||||
{"type": "CPU", "name": "ARM", "number": task_res["CPU"]},
|
||||
{"type": "MEMORY", "name": "RAM", "number": task_res["MEMORY"]},
|
||||
{"type": "MEMORY", "name": "VRAM", "number": 32},
|
||||
{"type": "STORAGE", "name": "DISK", "number": 32},
|
||||
{"type": "NPU", "name": "ASCEND910", "number": task_res["NPU"]}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
{"localJobID": "4", "type": "DataReturn", "targetLocalJobID": "1"}
|
||||
]
|
||||
}
|
||||
}
|
||||
submit_resp = requests.post(submit_url, json=submit_payload, headers=headers, timeout=15).json()
|
||||
if submit_resp.get("code") != 200:
|
||||
raise ValueError(f"任务提交失败 | API返回: {submit_resp}")
|
||||
logger.info(f"[{task_name}] 第九步：任务提交成功 | 任务ID: {submit_resp.get('data', {}).get('jobSetID')}")
|
||||
|
||||
# 更新任务状态为成功（线程安全）
|
||||
with task_map_lock:
|
||||
task["status"] = "succeed"
|
||||
return True
|
||||
|
||||
except Exception as e:
|
||||
error_msg = f"提交失败: {str(e)}"
|
||||
with task_map_lock:
|
||||
# 检查是否达到最大重试次数
|
||||
if task["retry_count"] >= task["max_retries"]:
|
||||
task["status"] = "retry_exhausted"
|
||||
else:
|
||||
task["status"] = "failed" # 未达最大次数，标记为failed等待重试
|
||||
task["error_msg"] = error_msg
|
||||
logger.error(f"[{task_name}] {error_msg}", exc_info=True)
|
||||
return False
|
||||
|
||||
|
||||
def commit_tasks(available_resources: Dict[str, int], max_workers: int = 3) -> None:
|
||||
"""提交满足资源条件的任务（并发处理）"""
|
||||
global task_map
|
||||
with task_map_lock:
|
||||
if not task_map:
|
||||
logger.warning("无待提交任务，退出提交流程")
|
||||
return
|
||||
current_tasks = list(task_map.values()) # 复制当前任务列表，避免线程执行中被修改
|
||||
|
||||
# 筛选可提交任务（状态为submitted且资源满足）
|
||||
eligible_tasks = []
|
||||
for task in current_tasks:
|
||||
if task["status"] != "submitted":
|
||||
logger.info(f"任务 {task['task_name']} 状态为 {task['status']}，跳过提交")
|
||||
continue
|
||||
task_res = task["resource"]
|
||||
# 检查CPU、内存、NPU是否均满足
|
||||
if (task_res["CPU"] <= available_resources["CPU"] and
|
||||
task_res["MEMORY"] <= available_resources["MEMORY"] and
|
||||
task_res["NPU"] <= available_resources["NPU"]):
|
||||
eligible_tasks.append(task)
|
||||
logger.info(f"任务 {task['task_name']} 资源满足，加入提交队列")
|
||||
else:
|
||||
logger.warning(f"任务 {task['task_name']} 资源不足 | 需求: {task_res} | 可用: {available_resources}")
|
||||
|
||||
if not eligible_tasks:
|
||||
logger.info("无满足资源条件的任务，提交流程结束")
|
||||
return
|
||||
|
||||
# 并发提交任务
|
||||
with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
|
||||
futures = {executor.submit(submit_single_task, task): task for task in eligible_tasks}
|
||||
for future in concurrent.futures.as_completed(futures):
|
||||
task = futures[future]
|
||||
try:
|
||||
future.result() # 触发可能的异常
|
||||
except Exception as e:
|
||||
with task_map_lock:
|
||||
task["status"] = "error"
|
||||
task["error_msg"] = f"执行异常: {str(e)}"
|
||||
logger.error(f"任务 {task['task_name']} 执行异常: {str(e)}", exc_info=True)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# 1. 任务静态数据信息
|
||||
task_templates = generate_tasks()
|
||||
|
||||
# 2. 读取任务数据信息，队列列表（存储到全局task_map，包含重试字段）
|
||||
read_tasks(task_templates)
|
||||
|
||||
# 3. 创建监控任务状态线程（轮询间隔30秒，可调整）
|
||||
monitor_thread = TaskMonitorThread(check_interval=30)
|
||||
monitor_thread.start()
|
||||
|
||||
# 4. 创建任务提交线程（关联监控线程，并发数30）
|
||||
submit_thread = TaskSubmitThread(max_workers=30, monitor_thread=monitor_thread)
|
||||
submit_thread.start()
|
||||
|
||||
# 5. 等待监控线程完成
|
||||
monitor_thread.join()
|
||||
submit_thread.join()
|
||||
|
||||
|
||||
Loading…
Reference in New Issue