From 9dda9cc6adcebd316827ac24a3a8b88c182a4bf2 Mon Sep 17 00:00:00 2001 From: small_leek <xiasenlin1@huawei.com> Date: Sat, 21 May 2022 05:14:07 +0800 Subject: [PATCH] add design markdown for li-wen --- doc/architecture.png | Bin 0 -> 548028 bytes doc/class-define.png | Bin 0 -> 957674 bytes doc/design.md | 909 +++++++++++++++++++++++++++++++++++++++++ doc/developer-view.png | Bin 0 -> 49406 bytes doc/flow-chart.png | Bin 0 -> 572600 bytes doc/logical_view.png | Bin 0 -> 543300 bytes doc/use-case.png | Bin 0 -> 151636 bytes 7 files changed, 909 insertions(+) create mode 100644 doc/architecture.png create mode 100644 doc/class-define.png create mode 100644 doc/design.md create mode 100644 doc/developer-view.png create mode 100644 doc/flow-chart.png create mode 100644 doc/logical_view.png create mode 100644 doc/use-case.png diff --git a/doc/architecture.png b/doc/architecture.png new file mode 100644 index 0000000000000000000000000000000000000000..63ed2468a423ed2755e80384e22bf322aad7da48 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+openEuler的构建系统基于suse开源的open-build-service搭建,其资源配置在初期满足一两个openEuler版本(public)工程和若干个开发者个人(private)工程日常构建绰绰有余,但是随着openEuler发行及维护版本越来越多,对于工程能力优化要求更加强烈。 + +当前openEuler每次完整构建版本平均需要12小时,对于每日版本构建、版本迭代测试都造成了一定的阻塞,也使得开发对单包的构建问题无法及时的自测和闭环。 + +我们针对openEuler的构建资源,做了调研,长期观察发现, +1. OBS的主调度服务器95节点负责openEuler所有public工程的调度,逐渐不能平衡处理多个版本工程并行构建的场景,特别是scheduler、dispatcher、singer等服务是单线程,存在任务block的情况; + +2. OBS的worker节点arm和x86架构各有30台左右(其中各有3台给home工程构建使用),规格以32U和64U为主,资源使用和配置: + + (1)每次rebuild工程之后,一段时间内有700~1000个job等待分发,观察worker节点的instance占用率85%~90% + + (2)32C + 64GB + 超高 IO 三者配置,结合obs worker本身配置:OBS_WORKER_JOBS=32 OBS_WORKER_INSTANCES=7,资源使用率比较均衡 + +故,我们设计此obs worker资源自动扩展方案,支持自动管理obs worker资源的“忙时申请,闲时释放”,在openEuler版本工程并发构建时,最大化申请worker节点以缓解构建任务的并发程度,在版本工程构建结束或者不需要构建时,节省资源经费。 + +## 2. 需求描述 +1. 自动管理obs worker资源的申请释放,通过配置文件来调整扩展的策略; +2. 获取obs worker节点的实时资源占用数据,辅助obs 维护人员和版本构建人员发现和定位问题 + +## 3.需求分析 +### 3.1 受益人 + +|角色|角色描述| +|:--|:-------| +| 版本构建人员 | 负责每日和正式版本构建| +| OBS维护人员 | 负责OBS构建系统的正常运转,版本构建jenkins任务的正常执行 | + +### 3.2 定义需求场景 +#### 3.2.1 worker忙: +1. 1个或者多个工程的schedule任务数远大于空闲job数; +2. 特定包在schedule状态时,没有合适规格的worker空闲(比如kernel、gcc); + +#### 3.2.2 worker闲: +1. schedule任务数远小于空闲worker数; + +### 3.3 用例视图 +![用例视图——obs worker资源自动扩展](use-case.png) + +### 3.4 架构图 +![obs worker资源自动扩展——架构图](architecture.png) + +### 3.5 流程图 +![obs worker资源自动扩展——流程图](flow-chart.png) + + +### 3.6 逻辑视图&类图 +![obs worker资源自动扩展——逻辑视图](logical_view.png) + +![obs worker资源自动扩展——类图](class-define.png) + +### 3.7 开发者视图 + +![开发者视图](developer-view.png) + +### 3.8 obs worker资源自适应伸缩策略 +#### 3.8.1 前提: +1. 资源可扩展规格不限,上限为允许再申请128U*14=1792U +2. 新增两台obs server,分别调度版本工程: + +(1) backend(95): + + openEuler:21.03 + openEuler:21.03:Epol + openEuler:21.09 + openEuler:21.09:Epol + +(2) backend_002(新增): + + openEuler:Mainline + openEuler:Epol + openEuler:Factory + openEuler:20.03:LTS:Next + openEuler:20.03:LTS:Next:Epol + +(3) backend_003(新增): + + openEuler:20.03:LTS + openEuler:20.03:LTS:SP1 + openEuler:20.03:LTS:SP1:Epol + openEuler:20.03:LTS:SP2 + openEuler:20.03:LTS:SP2:Epol + + +#### 3.8.2 自适应申请worker节点策略 + +(1)定义软件包不同构建时长级别: +- l1:构建时长小于5min,建议申请16U/32Uworker; +- l2:构建时长小于10min,建议申请32U/64Uworker; +- l3:构建时长大于15min;建议申请64U/128Uworker; + +(2)定义不同规格worker默认配置的job数: +- l1_def_jobs = 7; +- l2_def_jobs = 7; +- l3_def_jobs = 12或者1; +备注:部分包在更高核的机器上构建优化效果更明显,gcc、kernel + +(3)定义对应l1~l3的当前project上等待构建任务数(schedule状态): +- l1_sc_num; +- l2_sc_num; +- l3_sc_num; + +(4)定义生产环境中不同规格的worker上空闲的job数: +- l1_wait_jobs; +- l2_wait_jobs; +- l3_wait_jobs; + +—————————————————————————分割线———————————————————————————— + +定义对应不同规格worker的预申请数: +- new_l1_worker; +- new_l2_worker; +- new_l3_worker; + +以new_l2_worker为例: +new_l2_worker = (l2_sc_num - l2_wait_jobs) / l2_def_jobs; + +调用华为云CreateServers接口申请机器。 + +#### 3.8.3 自适应释放worker节点策略 +每隔一段时间,检查所有worker节点instance忙闲状态,针对没有instance在执行的worker节点,预留一部分给待调度的构建任务,其余都调用华为云DeleteServers接口释放。 + +### 3.9 obs worker资源独占策略 +基于多台obs server分布式调度openEuler版本工程的前提,当需要优先构建某个版本时,强制将所有worker设置为只给某台obs server调用,达到版本构建期间独占的效果 + +### 3.10 可靠性设计 +#### 3.10.1 新申请worker可用状态检测 +申请worker之后,检测机器是否打到可用状态,检测项包括: +(1)机器是否启动; +(2)实际规格与申请规格是否一致; +(3)obsworker.service状态是否正常; +(4)OBS_WORKER_JOBS和OBS_WORKER_INSTANCES与配置文件中对应规格的配置一致; +(5)check时间是否超过5min; + + +## 4. 特性清单 +### SR-01:支持查询obs worker状态、硬件资源占用情况和instance调度情况 (待对齐) +补充:worker状态包括机器运行状态、obsworker.service状态、规格和配置一致性校验结果 + +责任人:孙国帅 + +相关人:刘奇 + +开发语言:shell/python + +|no|AR描述|工作量预估|关联类|关联模块|责任人| +|:------|:----|:----|:----|:----|:----| +|1| 支持查询obs worker资源占用监控数据|1k|ResourceOccupancyMonitor|资源监控实现|孙国帅| +|2| 支持查询生产环境中obs worker ip列表|0.5k|ResourceOccupancyMonitor|资源监控实现|惠高鑫琰| +|3| 支持查询obs worker当前运行的instance数据|0.5k|OscAPI、QueryRunningInstance|资源监控实现、RestfulURL|孙国帅| +|4| 支持查询obs worker的obsworker.service状态|0.5k|CheckObsWokerStatus|资源监控实现|孙国帅| +|5| 支持查询obs worker当前机器运行状态|0.3k|CheckObsWokerStatus|资源监控实现|惠高鑫琰 | +|6| 支持查询obs worker实际规格和配置项是否与申请配置一致|0.5k|CheckObsWokerStatus|资源监控实现|惠高鑫琰 | +|7| 支持统计当前处于idle状态的instance,按照架构和不同规格分类|0.5k|OscAPI、QueryRunningInstance|资源监控实现、RestfulURL|王歌| +|8| 支持统计当前处于空闲状态的worker ip列表,按照架构分类|0.5k|OscAPI、QueryRunningInstance|资源监控实现、RestfulURL|王歌| + +### SR-02:支持查询OBS project状态和软件包构建数据 + +责任人:王歌 +|no|AR描述|工作量预估|关联类|关联模块|责任人| +|:------|:----|:----|:----|:----|:----| +|1| 支持查询OBS project不同状态软件名列表|0.25K|OscAPI|资源监控实现、RestfulURL|王歌| +|2| 支持查询OBS project软件包的历史构建时长数据|0.25K|OscAPI|资源监控实现、RestfulURL|王歌| +|3| 支持查询OBS project schedule状态不同架构不同构建时长级别的数量统计结果|0.25K|QueryHistoryAverageBuildTime、OscAPI|资源监控实现、RestfulURL|王歌| + +### SR-03:支持动态扩展worker机器(待对齐) +责任人:姚凯 +|no|AR描述|工作量预估|关联类|关联模块|责任人| +|:------|:----|:----|:----|:----|:----| +|1| 支持评估要申请不同规格的worker及数目|0.15k|evaluate_workers_to_apply||夏森林| +|2| 支持评估要释放的worker|0.2k|evaluate_workers_to_release||夏森林| +|3| *支持调用华为云接口申请worker服务器|0.1k|auto_apply_worker||夏森林| +|4| *支持调用华为云接口释放worker服务器|0.1k|auto_release_worker||夏森林| +|5| 华为云接口支持申请worker服务器|0.1k|HWCloudAPI||刘奇| +|6| 华为云接口支持释放worker服务器|0.1k|HWCloudAPI||刘奇| +|7| *华为云接口支持查询worker服务器关键信息,包括机器状态、实际规格、ip、主机名|0.1k|HWCloudAPI||刘奇| +|8| 支持修改worker上核心服务:obsworker.service的参数:OBS_WORKER_INSTANCES、OBS_WORKER_JOBS,并重启 ||||王歌| + +### SR-04:支持通过配置项管理worker动态扩展策略 +责任人:王歌 +|no|AR描述|工作量预估|关联类|关联模块|责任人| +|:------|:----|:----|:----|:----|:----| +|1| 支持配置项查询|0.1K|||| + + + + +### SR-05:支持本特性功能通过service管理 +责任人:李海炜 +|no|AR描述|工作量预估|关联类|关联模块|责任人| +|:------|:----|:----|:----|:----|:----| +|1| 支持systemctl管理 |0.05k|||| +|2| ******|| + +## 5、接口清单 + +### 5.1、obs硬件查询模块 + +#### 5.1.1. 查询obs worker资源占用监控数据 + +get_monitor_value() + +**接口描述** + +查询入参对应机器的指定时间长度内指定资源占用情况。 + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| -------- | ---- | ---- | --------------------------------------- | +| ip | 是 | Str | 待查询机器的IP | +| times | 否 | Str | 需要查询时间段,默认5分钟(5m) | +| resource | 否 | Str | 需要查询的资源。默认CPU,mem,IOPS,net | + +**查询示例** + +get_monitor_value(ip="172.1.16.11",times="5m",resource="CPU") + +**预期返回参数** + +| 参数名 | 类型 | 说明 | +| ------------- | ---- | -------------------------------------------- | +| resource_info | Dic | 所查询信息的值,若resource为空则返回所有资源 | + +**返回示例** + +resource_info={'ip':'172.1.116.11','times':'5m','CPU':'95%','mem':'20%'} + + + +#### 5.1.2. 查询所有worker ip列表(待对齐返回示例) + +get_all_worker_ip() + +**接口描述** + +查询OBS 生产环境的worker ip列表 + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| ------ | ---- | ---- | ---- | +| NULL | - | - | - | + +**查询示例** + +get_all_worker_ip() + +**预期返回参数** + +| 参数名 | 类型 | 说明 | +| --------------- | ---- | ------------------------------------ | +| obs_worker_list | List | OBS 生产环境的worker ip列表 | + +**返回示例** + +obs_worker_list=[ + {"aarch64":["172.1.116.11","172.1.116.12","172.1.116.13",...]} + {"x86":["172.1.116.21","172.1.116.22","172.1.116.23",...]} + ] + + + +#### 5.1.3. 查询obs worker当前运行的instance数据(待对齐输入) + +get_worker_instance() + +**接口描述** + +查询指定的worker的总instance数,正在idle的instance数。 + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| ----------- | ---- | ---- | ------------------------------------------------ | +| ip | 否 | List | 需要查询的obsworker在obs monitor上的ip列表 | + +**查询示例** + +get_worker_instance(ip=["172.1.116.11","172.1.116.12","172.1.116.13",...]) + +**预期返回参数** + +| 参数名 | 类型 | 说明 | +| --------------------- | ---- | ------------------------------------ | +| worker_instance_state | List | 入参为空输出所有worker的instance状态 | + +**返回示例** + +worker_instance_state=[ + + {"ip":"172.1.116.11","instance_all":7,"instance_run":3,"instance_idle":4}, + {"ip":"172.1.116.12","instance_all":7,"instance_run":0,"instance_idle":7}, + {"ip":"172.1.116.13", "instance_all":7,"instance_run":7,"instance_idle":0}... +] + + + +#### 5.1.4. 查询obs worker核心service健康状态 + +check_service() + +**接口描述** + +查询指定worker的健康评估结果。 + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| ------ | ---- | ---- | -------------- | +| ip | 是 | Str | 待查询机器的IP | +| passwd | 是 | Str | 待查询机器的IP登陆密码 | + +**查询示例** + +check_service(ip="172.1.16.11", passwd='******') + +**预期返回参数** + +| 参数名 | 类型 | 说明 | +| ------------- | ---- | -------------------------- | +| service_state | Dic | 健康状态OK返回0,其它返回1 | + +**返回示例** + +service_state={'ip':'172.1.116.11','service_OK':'0'} + +#### 5.1.5. 支持查询obs worker当前机器状态 + +check_worker_status() + +**接口描述** + +查询指定worker的机器状态。 + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| ------ | ---- | ---- | -------------- | +| ip | 是 | Str | 待查询机器的IP | + +**查询示例** + +check_worker_status(ip="172.1.16.11") + +**预期返回参数** + +| 参数名 | 类型 | 说明 | +| ------------- | ---- | -------------------------- | +| machine_status | Dic | active/building/deleted/other | + +**返回示例** + +machine_status={'ip':'172.1.116.11','status':'active'} + + +#### 5.1.6. 支持查询obs worker配置项是否与配置文件一致 + +check_worker_config() + +**接口描述** + +查询指定ip 的worker的后台配置是否与对应规格的配置一致。 + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| ------ | ---- | ---- | -------------- | +| ip | 是 | Str | 待查询机器的IP | +| passwd | 是 | Str | 待查询机器的IP登陆密码 | +| config | 是 | Dict | 待查询机器的CPU、内存、OBS_WORKER_INSTANCES、OBS_WORKER_JOBS | + + +**查询示例** + +check_worker_config(ip="172.1.16.11", passwd='******', config={"vcpus":32, "ram":64, "instances":10, "jobs":32}) + +**预期返回参数** + +| 参数名 | 类型 | 说明 | +| ------------- | ---- | -------------------------- | +| consistency_result | bool | 一致则True,否则False | + +**返回示例** + +consistency_result=True + + +#### 5.1.7. 支持统计当前处于idle状态的instance,按照架构和不同规格分类 + +query_idle_instance() + +**接口描述** + +统计当前处于idle状态的instance,按照架构和不同规格分类。 + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| ------ | ---- | ---- | -------------- | +| ip | 是 | Str | 待查询机器的IP | + + + +**查询示例** + +query_idle_instance( + ip=[ + {"aarch64":["172.1.116.11","172.1.116.12","172.1.116.13",...]}, + {"x86":["172.1.116.21","172.1.116.22","172.1.116.23",...]} + ] +) + +**预期返回参数** + +| 参数名 | 类型 | 说明 | +| ------------- | ---- | -------------------------- | +| idle_instances_list | List | 按照架构和规格级别划分 | + +**返回示例** + +idle_instances_list=[ + {"aarch64":{"l1":10,"l2":1,"l3":0}}, + {"x86":{"l1":8,"l2":0,"l3":0}} + ] + +#### 5.1.8. 支持统计当前处于空闲状态的worker ip列表,按照架构分类 + +query_idle_worker_ip() + +**接口描述** + +统计当前处于空闲状态的worker ip列表,按照架构分类。 + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| ------ | ---- | ---- | -------------- | +| ip | 是 | Str | 待查询机器的IP | + + + +**查询示例** + +query_idle_worker_ip( + ip=[ + {"aarch64":["172.1.116.11","172.1.116.12","172.1.116.13",...]}, + {"x86":["172.1.116.21","172.1.116.22","172.1.116.23",...]} + ] +) + +**预期返回参数** + +| 参数名 | 类型 | 说明 | +| ------------- | ---- | -------------------------- | +| idle_worker_list | List | 按照架构划分 | + +**返回示例** + +idle_worker_list=[ + {"aarch64":["172.1.116.11","172.1.116.13"]}, + {"x86":["172.1.116.21"]} + ] + +### 5.2、OBS project信息查询模块 + +#### 5.2.1、查询指定工程,指定状态包数量和包名称 + +query_status_num_of_project() + +**接口描述** + +查询指定工程,指定状态包数量和包名称 + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| ----------- | ---- | ------ | ------------ | +| projectname | 是 | String | 工程名 | +| repository | 是 | String | 仓库名称 | +| status | 是 | String | 要查询的状态 | + +**查询示例** + +import projectstatus + +query_status_num_of_project(‘openEuler:Mainline’, ‘standard_aarch64’, ‘succeeded’) + +**预期返回值** + +{‘total’: ‘3’, ‘packages’: [biosdevname, intel-cmt-cat, libipt]} + + +#### 5.2.2、查询构建时间 + +query_history_build_time_of_package() + +**接口描述** + +查询指定工程,指定架构下包,最近几次成功状态的编译时间,和平均编译时间 + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| ----------- | ---- | ------ | -------------------- | +| projectname | 是 | String | 工程名 | +| repository | 是 | String | 仓库名称 | +| package | 是 | String | 包名 | +| boundary | 是 | int | 成功编译历史记录条数 | + +**查询示例** + +import packagebuildtime + +query_history_build_time_of_package (‘openEuler:Mainline’, ‘standard_aarch64’, ‘aalib’, 4) + +**预期返回值** + +{'average': '49', 'history': [55, 48, 33, 58]} + +#### 5.2.3、支持查询OBS project schedule状态不同架构不同构建时长级别的数量统计结果 + +query_schedule_statistics() + +**接口描述** + +查询指定工程,指定架构下包,最近几次成功状态的编译时间,和平均编译时间 + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| ----------- | ---- | ------ | -------------------- | +| projects | 是 | String | 工程名 | + +**查询示例** + +query_schedule_statistics (['openEuler:Mainline', 'openEuler:21.09',...]) + +**预期返回值** + +schedule_events_list=[ + {"aarch64":{"l1":100,"l2":10,"l3":2}}, + {"x86":{"l1":80,"l2":5,"l3":0}} + ] + + +### 5.3、资源申请释放模块 + +#### 5.3.1. 支持评估要申请不同规格的worker及数目 + +evaluate_workers_to_apply() + +**接口描述** + +评估给出要申请不同规格的worker及数目。 + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| ------ | ---- | ---- | -------------- | +| schedule_events_list | 是 | List | 待调度构建任务对应不同构建时长级别的数量 | +| idle_instances_list | 是 | List | 当前处于空闲状态的不同规格的instance梳理 | + + +**查询示例** + +evaluate_workers_to_apply( + + schedule_events_list=[ + {"aarch64":{"l1":100,"l2":10,"l3":2}}, + {"x86":{"l1":80,"l2":5,"l3":0}} + ] + idle_instances_list=[ + {"aarch64":{"l1":10,"l2":1,"l3":0}}, + {"x86":{"l1":8,"l2":0,"l3":0}} + ] + +) + +**预期返回参数** + +| 参数名 | 类型 | 说明 | +| ------------- | ---- | -------------------------- | +| apply_worker | Dic | 不同规格及对应的预申请数目| + +**返回示例** + +apply_worker=[ + + {"aarch64":{"l1":16, "l2":2, "l3":1}}, + {"x86":{"l1":15, "l2":1, "l3":0}} +] + +#### 5.3.2. 支持评估要释放的worker + +evaluate_workers_to_release() + +**接口描述** + +评估给出要释放的worker ip列表。 + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| ------ | ---- | ---- | -------------- | +| ip | 是 | List | 待评估是否要释放的worker的ip列表 | +| num_check | 是 | int | 校验次数 | +| interval | 是 | int | 校验等待的间隔 | + +**查询示例** + +evaluate_workers_to_release(ip=["172.1.116.11","172.1.116.12","172.1.116.13",...] ) + +**预期返回参数** + +| 参数名 | 类型 | 说明 | +| ------------- | ---- | -------------------------- | +| release_worker | List | 确认需要释放的worker的ip列表| + +**返回示例** + +release_worker=["172.1.116.11", "172.1.116.21"] + + +#### 5.3.3. 支持调用华为云接口申请worker服务器 + +auto_apply_worker() + +**接口描述** + +调用华为云接口申请worker服务器。 + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| ------ | ---- | ---- | -------------- | +| apply_worker | Dic | 不同规格及对应的预申请数目| + +**查询示例** + +auto_apply_worker( + + apply_worker=[ + {"aarch64":{"l1":16, "l2":2, "l3":1}}, + {"x86":{"l1":15, "l2":1, "l3":0}} + ] +) + +**预期返回参数** + +| 参数名 | 类型 | 说明 | +| ------------- | ---- | -------------------------- | +| new_worker | List | 申请worker机器的ip列表| + +**返回示例** + +new_worker=[ + + {"aarch64-l1":["172.1.116.11","172.1.116.12","172.1.116.13",...]}, + {"aarch64-l2":["172.1.116.21"]}, + {"x86-l1":["172.1.116.22","172.1.116.23","172.1.116.24",...]}, + {"x86-l2":["172.1.116.33"]} +] + + +#### 5.3.4. 支持调用华为云接口释放worker服务器 + +auto_release_worker() + +**接口描述** + +调用华为云接口释放worker服务器 + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| ------ | ---- | ---- | -------------- | +| ip | List | 要释放的worker的ip 列表| + +**查询示例** + +auto_release_worker(ip=["172.1.116.16","172.1.116.17","172.1.116.18"]) + +**预期返回参数** + +| 参数名 | 类型 | 说明 | +| ------------- | ---- | -------------------------- | +| release_result | Dic | 释放worker机器的返回值| + +**返回示例** + +release_result=[ + + {"172.1.116.16":"deleted"}, + {"172.1.116.17":"deleted"}, + {"172.1.116.17":"deleted"} +] + + +#### 5.3.5. 华为云接口支持申请worker服务器 + +ECSServers.create() + +**接口描述** + +创建华为云ECS服务器(按需) + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| ------------ | ---- | ------ | ------------------------------- | +| arch | 是 | String | 服务器架构,'x86','aarch64' | +| flavor_level | 是 | String | 服务器规格等级,'l1', 'l2', 'l3' | +| admin_pass| 是 | String | root账号密码,长度8~26位,至少必须包含大写字母、小写字母、数字和特殊字符(!@$%^-_=+[{}]:,./?)中的三种,不能包含用户名或用户名逆序 | +| count | 否 | Int | 创建服务器的数量,默认为1 | + +**请求示例** + +>>> from ecs_servers import ECSServers +>>> +>>> server = ECSServers() +>>> server.create('aarch64', 'l2','sadnhj_dAn@i17a1') +{'code': 200, 'server_ips': ['172.16.1.206']} +>>> +>>> server.create('aarch64', 'l1', '2as+dk90as=', 3) +{'code': 200, 'server_ips': ['172.16.1.164', '172.16.1.55', '172.16.1.34']} + + +#### 5.3.6. 华为云接口支持释放worker服务器 + +ECSServers.delete() + +**接口描述** + +删除华为云ECS服务器 + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| ------------ | ---- | ------ | ------------------------------- | +| ips | 是 | List | 待删除服务器的ip列表 | + +**请求示例** + +>>> from ecs_servers import ECSServers +>>> +>>> server = ECSServers() +>>> server.delete(['172.16.1.206']) +{'code': 200, 'message': 'Delete successfully'} +>>> +>>> server.delete(['172.16.1.164', '172.16.1.55', '172.16.1.34']) +{'code': 200, 'message': 'Delete successfully'} +>>> +>>> server.delete(['172.16.1.206']) +{'code': 400, 'error': {'error': {'message': 'request body is illegal.', 'code': 'Ecs.0005'}}} + + +#### 5.3.7. 华为云接口支持查询worker服务器关键信息,包括机器状态、实际规格、ip、主机名 + +ECSServers.get() + +**接口描述** + +查询华为云ECS服务器详情 + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| ------------ | ---- | ------ | ------------------------------- | +| ip | 是 | String | 待查询服务器的ip | + +**返回参数** + +| 参数名 | 类型 | 说明 | +| ------------ | ------ | ------------------------------- | +| id | String | 服务器的id | +| name | String | 服务器的名称 | +| ip | String | 服务器的ip | +| status | String | 服务器的状态 ACTIVE/BUILDING/DELETED/OTHER | +| flavor | Dict | 服务器的规格,vcpus为虚拟cpu数, ram为内存(单位: M) | + + +**请求示例** + +>>> from ecs_servers import ECSServers +>>> +>>> server = ECSServers() +>>> server.get('172.16.1.206') +{'code': 200, 'server': {'id': 'e7a446bd-7066-45ea-bf03-2b2074003d4e', 'name': 'obs-worker1636977962', 'ip': '172.16.1.206', 'status': 'ACTIVE', 'flavor': {'vcpus': '32', 'ram': '131072'}, 'arch': 'aarch64'}} +>>> +>>> server.get('172.16.1.178') # 查询不存在的ip +{'code': 400, 'error': 'Not exist'} + + +ECSServers.list() + +**接口描述** + +查询华为云ECS服务器的详情列表 + +**请求参数** + +无 + +**请求示例** + +>>> from ecs_servers import ECSServers +>>> +>>> server = ECSServers() +>>> server.list() +{'code': 200, 'servers': [{'id': 'e7a446bd-7066-45ea-bf03-2b2074003d4e', 'name': 'obs-worker1636977962', 'ip': '172.16.1.206', 'status': 'ACTIVE', 'flavor': {'vcpus': '32', 'ram': '131072'}, 'arch': 'aarch64'}, ...]} + + +### 5.4、配置查询模块 + +#### 5.4.1、查询配置文件配置项 + +QueryConfig.get_value() + +**接口描述** + +获取配置文件配置项的值 + +**请求参数** + +| 参数名 | 必填 | 类型 | 说明 | +| ------- | ---- | ------ | --------------- | +| file | 是 | String | 配置文件路径 | +| section | 是 | String | 配置section名称 | +| key | 是 | String | 配置项名称 | + +**查询示例** + +import QueryConfig from queryconfig + +qc = QueryConfig() + +qc.get_value(file, section, key) + +**预期返回值** + +{‘key’: ‘value’} + + + +## 6. 遗留问题 + +1. 申请不同规格机器之后,同时等待的大小包如何指定到合适的规格的机器上 + - 以问题4的结论为准 + +2. 补充配置文件和接口定义————夏森林 + +3. 调研新增两台backend(obs server)的规格、提升效果————曹志、夏森林 + +4. 配置powerhost之后,空闲状态下是否允许其他包构建,如果允许,等到指定的软件包构建任务过来时,是不是会让出来或者等占用的包构建完,优先调度————姚凯 + - 该配置不具有排他性,仅支持指定的包在指定的worker上构建,当worker上有其他任务时,不会独占,也不会优先调度 + +5. 重启obs server之后对OBS正在调度的任务的影响————王冲 + +6. worker动态调度会影响监控面板的实时数据————曹志 + + + +**新增:** + +7. 申请worker之后服务启动是否正常?判断和处理逻辑未设计。 + - 属于系统可靠性设计,应补上 + +8. 查询正在运行的OBS worker的instance数时,是否需要查询worker的规格?计算申请不同规格的worker时需要使用。当前没有接口查询该信息。 + - 需要,支持返回 + +8. 调用华为云申请释放资源的接口刘奇那边只提供restful api,工具使用需要封装调用api的方法,未在sr中体现。 + - done + + +9. 申请资源时需要指定架构,x86/arrch_64 ;规格划定不指定具体型号,只指定级别,刘奇那边根据级别的对应关系去申请。( l1:32U,l2:64U,l3:128U ),配置文件需要修改。 + - done + + +10. 调用申请worker的接口之后会直接返回成功或者失败,但是这时服务器可能还未启动完成,需要循环查询是否已经启动,该操作会更新刘奇那边数据库数据(申请之后只有id,其他数据如ip,name,status需要启动后生成)。启动失败和长时间处于启动状态的是否立即删除?删除后是否立刻重新申请? + - 已添加循环校验;启动失败和长时间处于启动状态的worker在校验满足时间上限后释放;删除后不立刻重新申请,走正常的并发任务校验流程。 + +11. 本地记录worker的ip和id的对应关系的接口还未定义清楚,是否增、删、查都需要?该工具上线后是否还会有固定的worker(当前运行的这些)不参与申请释放? + - 11/15:需要增、删、查;当前生产环境的worker也参与申请和释放。 + - 11/16:不需要,由刘奇封装华为云接口支持查询ip与id的映射关系;当前生产环境建议预留128U的机器,以免释放后被其他人申请使用 + +12. 所有外部接口调用还没有统一封装,现在开发的话会自己写自己的外部调用。 + +13. 各接口间的调用关系还没有整体梳理,可能存在入参出参需要更改的情况。 + + +14. 批量申请worker时,部署和启动服务时间是否更长 + - 基本保持一致 + +15. 不同的架构可能支持的可申请的规格不一致 + - 在实现逻辑中 + +16. 华为云接口支持查询worker服务器关键信息,需要添加“架构”属性 + - done + +17. 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