Merge branch V0.2 to Master (#143)

* webui logpath and document (#135)

* Add webui document and logpath as a href

* fix tslint

* fix comments by Chengmin

* Pai training service bug fix and enhancement (#136)

* Add NNI installation scripts

* Update pai script, update NNI_out_dir

* Update NNI dir in nni sdk local.py

* Create .nni folder in nni sdk local.py

* Add check before creating .nni folder

* Fix typo for PAI_INSTALL_NNI_SHELL_FORMAT

* Improve annotation (#138)

* Improve annotation

* Minor bugfix

* Selectively install through pip (#139)

Selectively install through pip 
* update setup.py

* fix paiTrainingService bugs (#137)

* fix nnictl bug

* add hdfs host validation

* fix bugs

* fix dockerfile

* fix install.sh

* update install.sh

* fix dockerfile

* Set timeout for HDFSUtility exists function

* remove unused TODO

* fix sdk

* add optional for outputDir and dataDir

* refactor dockerfile.base

* Remove unused import in hdfsclientUtility

* Add documentation for NNI PAI mode experiment (#141)

* Add documentation for NNI PAI mode

* Fix typo based on PR comments

* Exit with subprocess return code of trial keeper

* Remove additional exit code

* Fix typo based on PR comments

* update doc for smac tuner (#140)

* Revert "Selectively install through pip (#139)" due to potential pip install issue (#142)

* Revert "Selectively install through pip (#139)"

This reverts commit 1d174836.

* Add exit code of subprocess for trial_keeper

* Update README, add link to PAImode doc

examples/trials/mnist-smartparam/config.yml

@@ -8,7 +8,8 @@ trainingServicePlatform: local
 #choice: true, false
 useAnnotation: true
 tuner:
-  #choice: TPE, Random, Anneal, Evolution
+  #choice: TPE, Random, Anneal, Evolution,
+  #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:
     #choice: maximize, minimize
@@ -16,4 +17,4 @@ tuner:
 trial:
   command: python3 mnist.py
   codeDir: .
-  gpuNum: 0
\ No newline at end of file
+  gpuNum: 0

examples/trials/mnist/config.yml

@@ -9,7 +9,8 @@ searchSpacePath: search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution
+  #choice: TPE, Random, Anneal, Evolution,
+  #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:
     #choice: maximize, minimize
@@ -17,4 +18,4 @@ tuner:
 trial:
   command: python3 mnist.py
   codeDir: .
-  gpuNum: 0
\ No newline at end of file
+  gpuNum: 0

examples/trials/mnist/config_assessor.yml

@@ -9,7 +9,8 @@ searchSpacePath: ~/nni/examples/trials/mnist/search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution
+  #choice: TPE, Random, Anneal, Evolution,
+  #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:
     #choice: maximize, minimize
@@ -23,4 +24,4 @@ assessor:
 trial:
   command: python3 mnist.py
   codeDir: ~/nni/examples/trials/mnist
-  gpuNum: 0
\ No newline at end of file
+  gpuNum: 0

examples/trials/pytorch_cifar10/config.yml

@@ -9,7 +9,8 @@ searchSpacePath: search_space.json
 #choice: true, false
 useAnnotation: false
 tuner:
-  #choice: TPE, Random, Anneal, Evolution
+  #choice: TPE, Random, Anneal, Evolution,
+  #SMAC (SMAC should be installed through nnictl)
   builtinTunerName: TPE
   classArgs:
     #choice: maximize, minimize

install.sh

 #!/bin/bash
-make build
 make install-dependencies
+make build
 make dev-install
+make install-examples
+make update-bash-config
 source ~/.bashrc

src/nni_manager/training_service/pai/hdfsClientUtility.ts

@@ -131,7 +131,10 @@ export namespace HDFSClientUtility {
         const deferred : Deferred<boolean> = new Deferred<boolean>();
         hdfsClient.exists(hdfsPath, (exist : boolean ) => {
              deferred.resolve(exist);
-        })
+        });
+
+        // Set timeout and reject the promise once reach timeout (5 seconds)
+        setTimeout(() => deferred.reject(`Check HDFS path ${hdfsPath} exists timeout`), 5000);
 
         return deferred.promise;
     }

src/nni_manager/training_service/pai/paiData.ts

@@ -47,12 +47,21 @@ export class PAITrialJobDetail implements TrialJobDetail {
     }
 }
 
+export const PAI_INSTALL_NNI_SHELL_FORMAT: string = 
+`#!/bin/bash
+if python3 -c 'import nni' > /dev/null 2>&1; then
+  # nni module is already installed, skip
+  return
+else
+  # Install nni
+  pip3 install -v --user git+https://github.com/Microsoft/nni.git@v0.2
+fi`;
+
 export const PAI_TRIAL_COMMAND_FORMAT: string =
-`pip3 install -v --user git+https://github.com/Microsoft/nni.git@master 
-&& export NNI_PLATFORM=pai NNI_SYS_DIR={0} NNI_OUTPUT_DIR={0} NNI_TRIAL_JOB_ID={1} NNI_EXP_ID={2} 
-&& cd $NNI_SYS_DIR && mkdir .nni 
-&& python3 -m trial_tool.trial_keeper --trial_command '{3}' --nnimanager_ip '{4}' --pai_hdfs_output_dir '{5}' 
---pai_hdfs_host '{6}' --pai_user_name {7}`;
+`export NNI_PLATFORM=pai NNI_SYS_DIR={0} NNI_OUTPUT_DIR={1} NNI_TRIAL_JOB_ID={2} NNI_EXP_ID={3} 
+&& cd $NNI_SYS_DIR && sh install_nni.sh 
+&& python3 -m trial_tool.trial_keeper --trial_command '{4}' --nnimanager_ip '{5}' --pai_hdfs_output_dir '{6}' 
+--pai_hdfs_host '{7}' --pai_user_name {8}`;
 
 export const PAI_OUTPUT_DIR_FORMAT: string = 
 `hdfs://{0}:9000/`;

src/nni_manager/training_service/pai/paiTrainingService.ts

@@ -39,7 +39,7 @@ import {
 } from '../../common/trainingService';
 import { delay, getExperimentRootDir, getIPV4Address, uniqueString } from '../../common/utils';
 import { PAIJobRestServer } from './paiJobRestServer'
-import { PAITrialJobDetail, PAI_TRIAL_COMMAND_FORMAT, PAI_OUTPUT_DIR_FORMAT, PAI_LOG_PATH_FORMAT } from './paiData';
+import { PAITrialJobDetail, PAI_INSTALL_NNI_SHELL_FORMAT, PAI_TRIAL_COMMAND_FORMAT, PAI_OUTPUT_DIR_FORMAT, PAI_LOG_PATH_FORMAT } from './paiData';
 import { PAIJobInfoCollector } from './paiJobInfoCollector';
 import { String } from 'typescript-string-operations';
 import { NNIPAITrialConfig, PAIClusterConfig, PAIJobConfig, PAITaskRole } from './paiConfig';
@@ -64,6 +64,8 @@ class PAITrainingService implements TrainingService {
     private experimentId! : string;
     private readonly paiJobCollector : PAIJobInfoCollector;
     private readonly hdfsDirPattern: string;
+    private hdfsBaseDir: string | undefined;
+    private hdfsOutputHost: string | undefined;
 
     constructor() {
         this.log = getLogger();
@@ -131,6 +133,14 @@ class PAITrainingService implements TrainingService {
         if (!this.paiToken) {
             throw new Error('PAI token is not initialized');
         }
+        
+        if(!this.hdfsBaseDir){
+            throw new Error('hdfsBaseDir is not initialized');
+        }
+
+        if(!this.hdfsOutputHost){
+            throw new Error('hdfsOutputHost is not initialized');
+        }
 
         this.log.info(`submitTrialJob: form: ${JSON.stringify(form)}`);
 
@@ -142,6 +152,10 @@ class PAITrainingService implements TrainingService {
         //create tmp trial working folder locally.
         await cpp.exec(`mkdir -p ${path.dirname(trialLocalTempFolder)}`);
         await cpp.exec(`cp -r ${this.paiTrialConfig.codeDir} ${trialLocalTempFolder}`);
+
+        const runScriptContent : string = PAI_INSTALL_NNI_SHELL_FORMAT;
+        // Write NNI installation file to local tmp files
+        await fs.promises.writeFile(path.join(trialLocalTempFolder, 'install_nni.sh'), runScriptContent, { encoding: 'utf8' });
         
         // Write file content ( parameter.cfg ) to local tmp folders
         const trialForm : TrialJobApplicationForm = (<TrialJobApplicationForm>form)
@@ -152,26 +166,11 @@ class PAITrainingService implements TrainingService {
         // Step 1. Prepare PAI job configuration
         const paiJobName : string = `nni_exp_${this.experimentId}_trial_${trialJobId}`;
         const hdfsCodeDir : string = path.join(this.expRootDir, trialJobId);
-    
-        const hdfsDirContent = this.paiTrialConfig.outputDir.match(this.hdfsDirPattern);
-
-        if(hdfsDirContent === null) {
-            throw new Error('Trial outputDir format Error');
-        }
-        const groups = hdfsDirContent.groups;
-        if(groups === undefined) {
-            throw new Error('Trial outputDir format Error');
-        }
-
-        const hdfsHost = groups['host'];
-        let hdfsBaseDirectory = groups['baseDir'];
-        if(hdfsBaseDirectory === undefined) {
-            hdfsBaseDirectory = "/";
-        }
-        const hdfsOutputDir : string = path.join(hdfsBaseDirectory, this.experimentId, trialJobId);
+        
+        const hdfsOutputDir : string = path.join(this.hdfsBaseDir, this.experimentId, trialJobId);
         const hdfsLogPath : string = String.Format(
             PAI_LOG_PATH_FORMAT,
-            hdfsHost,
+            this.hdfsOutputHost,
             hdfsOutputDir);
 
         const trialJobDetail: PAITrialJobDetail = new PAITrialJobDetail(
@@ -188,12 +187,13 @@ class PAITrainingService implements TrainingService {
             PAI_TRIAL_COMMAND_FORMAT,
             // PAI will copy job's codeDir into /root directory
             `/root/${trialJobId}`,
+            `/root/${trialJobId}/nnioutput`,
             trialJobId,
             this.experimentId,
             this.paiTrialConfig.command, 
             getIPV4Address(),
             hdfsOutputDir,
-            hdfsHost,
+            this.hdfsOutputHost,
             this.paiClusterConfig.userName
         ).replace(/\r\n|\n|\r/gm, '');
 
@@ -304,7 +304,7 @@ class PAITrainingService implements TrainingService {
         return deferred.promise; 
     }
 
-    public setClusterMetadata(key: string, value: string): Promise<void> {
+    public async setClusterMetadata(key: string, value: string): Promise<void> {
         const deferred : Deferred<void> = new Deferred<void>();
 
         switch (key) {
@@ -331,13 +331,12 @@ class PAITrainingService implements TrainingService {
 
                 request(authentication_req, (error: Error, response: request.Response, body: any) => {
                     if (error) {
-                        //TODO: should me make the setClusterMetadata's return type to Promise<string>? 
                         this.log.error(`Get PAI token failed: ${error.message}`);
-                        deferred.reject();
+                        deferred.reject(new Error(`Get PAI token failed: ${error.message}`));
                     } else {
                         if(response.statusCode !== 200){
                             this.log.error(`Get PAI token failed: get PAI Rest return code ${response.statusCode}`);
-                            deferred.reject();
+                            deferred.reject(new Error(`Get PAI token failed, please check paiConfig username or password`));
                         }
                         this.paiToken = body.token;
 
@@ -348,7 +347,7 @@ class PAITrainingService implements TrainingService {
             case TrialConfigMetadataKey.TRIAL_CONFIG:
                 if (!this.paiClusterConfig){
                     this.log.error('pai cluster config is not initialized');
-                    deferred.reject();
+                    deferred.reject(new Error('pai cluster config is not initialized'));
                     break;
                 }
                 this.paiTrialConfig = <NNIPAITrialConfig>JSON.parse(value);
@@ -359,6 +358,38 @@ class PAITrainingService implements TrainingService {
                         this.paiClusterConfig.host
                     ).replace(/\r\n|\n|\r/gm, '');
                 }
+                
+                const hdfsDirContent = this.paiTrialConfig.outputDir.match(this.hdfsDirPattern);
+
+                if(hdfsDirContent === null) {
+                    throw new Error('Trial outputDir format Error');
+                }
+                const groups = hdfsDirContent.groups;
+                if(groups === undefined) {
+                    throw new Error('Trial outputDir format Error');
+                }
+        
+                this.hdfsOutputHost = groups['host'];
+                this.hdfsBaseDir = groups['baseDir'];
+                if(this.hdfsBaseDir === undefined) {
+                    this.hdfsBaseDir = "/";
+                }
+                
+                const hdfsClient = WebHDFS.createClient({
+                    user: this.paiClusterConfig.userName,
+                    port: 50070,
+                    host: this.hdfsOutputHost
+                });
+
+                try {
+                    const exist : boolean = await HDFSClientUtility.pathExists("/", hdfsClient);
+                    if(!exist) {
+                        deferred.reject(new Error(`Please check hdfsOutputDir host!`));
+                    }
+                } catch(error) {
+                    deferred.reject(new Error(`HDFS encounters problem, error is ${error}. Please check hdfsOutputDir host!`));
+                }
+
                 deferred.resolve();
                 break;
             default:

src/sdk/pynni/nni/README.md

 # How to use Tuner that NNI supports?
 
-For now, NNI could support tuner algorithms as following:
+For now, NNI has supported the following tuner algorithms. Note that NNI installation only installs a subset of those algorithms, other algorithms should be installed through `nnictl package install` before you use them. For example, for SMAC the installation command is `nnictl package install --name=SMAC`.
 
  - TPE
  - Random Search
  - Anneal
  - Naive Evolution
- - SMAC
+ - SMAC (to install through `nnictl`)
  - ENAS (ongoing)
  - Batch (ongoing)
 
@@ -75,4 +75,4 @@ There are two filed you need to set:
   [2]: http://www.jmlr.org/papers/volume13/bergstra12a/bergstra12a.pdf
   [3]: https://arxiv.org/pdf/1703.01041.pdf
   [4]: https://www.cs.ubc.ca/~hutter/papers/10-TR-SMAC.pdf
-  [5]: https://github.com/automl/SMAC3
\ No newline at end of file
+  [5]: https://github.com/automl/SMAC3

src/sdk/pynni/nni/platform/local.py

@@ -24,16 +24,20 @@ import os
 
 from ..common import init_logger
 
-
-_dir = os.environ['NNI_SYS_DIR']
-_metric_file = open(os.path.join(_dir, '.nni', 'metrics'), 'wb')
-
-_log_file_path = os.path.join(_dir, 'trial.log')
+_sysdir = os.environ['NNI_SYS_DIR']
+if not os.path.exists(os.path.join(_sysdir, '.nni')):
+    os.makedirs(os.path.join(_sysdir, '.nni'))
+_metric_file = open(os.path.join(_sysdir, '.nni', 'metrics'), 'wb')
+
+_outputdir = os.environ['NNI_OUTPUT_DIR']
+if not os.path.exists(_outputdir):
+    os.makedirs(_outputdir)
+_log_file_path = os.path.join(_outputdir, 'trial.log')
 init_logger(_log_file_path)
 
 
 def get_parameters():
-    params_file = open(os.path.join(_dir, 'parameter.cfg'), 'r')
+    params_file = open(os.path.join(_sysdir, 'parameter.cfg'), 'r')
     return json.load(params_file)
 
 def send_metric(string):

src/sdk/pynni/nni/smartparam.py

@@ -124,6 +124,6 @@ else:
         del frame  # see official doc
         module = inspect.getmodulename(filename)
         if name is None:
-            name = '#{:d}'.format(lineno)
+            name = '__line{:d}'.format(lineno)
         key = '{}/{}/{}'.format(module, name, func)
         return trial.get_parameter(key)

src/sdk/pynni/tests/test_smartparam.py

@@ -33,9 +33,9 @@ class SmartParamTestCase(TestCase):
     def setUp(self):
         params = {
             'test_smartparam/choice1/choice': 2,
-            'test_smartparam/#{:d}/uniform'.format(lineno1): '5',
+            'test_smartparam/__line{:d}/uniform'.format(lineno1): '5',
             'test_smartparam/func/function_choice': 1,
-            'test_smartparam/#{:d}/function_choice'.format(lineno2): 0
+            'test_smartparam/__line{:d}/function_choice'.format(lineno2): 0
         }
         nni.trial._params = { 'parameter_id': 'test_trial', 'parameters': params }
 

src/webui/README.md

-# webui
+# WebUI
 
-NNI is a research platform for metalearning. It provides easy-to-use interface so that you could perform neural architecture search, hyperparameter optimization and optimizer design for your own problems and models.
-Web UI allows user to monitor the status of the NNI system using a graphical interface.
-
-## Deployment
-
-### To start the webui
-
-> $ yarn
-> $ yarn start
-
-## Usage
-
-### View summary page
+## View summary page
 
 Click the tab "Overview".
 
+* See the experiment parameters.
 * See good performance trial.
 * See search_space json.
 
-### View job accuracy
+## View job accuracy
 
 Click the tab "Optimization Progress" to see the point graph of all trials. Hover every point to see its specific accuracy.
 
-### View hyper parameter
+## View hyper parameter
 
 Click the tab "Hyper Parameter" to see the parallel graph.
 
-* You can select the percentage to cut down some lines.
+* You can select the percentage to see top trials.
 * Choose two axis to swap its positions
 
-### View trial status 
+## View trial status 
 
 Click the tab "Trial Status" to see the status of the all trials. Specifically:
 
-* Running trial: running trial's duration in the bar graph.
-* Trial detail: trial's id, trial's duration, start time, end time, status and accuracy.
+* Trial duration: trial's duration in the bar graph.
+* Trial detail: trial's id, trial's duration, start time, end time, status, accuracy and search space file.
 * Kill: you can kill a job that status is running.
 * Tensor: you can see a job in the tensorflow graph, it will link to the Tensorboard page.
 
-### Control 
+## Control 
 
 Click the tab "Control" to add a new trial or update the search_space file and some experiment parameters.
 
-### View Tensorboard Graph 
-   
-Click the tab "Tensorboard" to see a job in the tensorflow graph. 
\ No newline at end of file
+## Feedback
+
+[Known Issues](https://github.com/Microsoft/nni/issues).
\ No newline at end of file

src/webui/package.json

@@ -3,7 +3,7 @@
   "version": "0.1.0",
   "private": true,
   "dependencies": {
-    "antd": "^3.8.1",
+    "antd": "^3.9.3",
     "axios": "^0.18.0",
     "babel-polyfill": "^6.26.0",
     "echarts": "^4.1.0",

src/webui/src/components/Sessionpro.tsx

@@ -5,6 +5,7 @@ import { MANAGER_IP, overviewItem } from '../const';
 const Option = Select.Option;
 import JSONTree from 'react-json-tree';
 require('../style/sessionpro.css');
+require('../style/logPath.css');
 
 interface TableObj {
     key: number;
@@ -14,12 +15,13 @@ interface TableObj {
     end: string;
     status: string;
     acc?: number;
-    description: object;
+    description: Parameters;
 }
 
 interface Parameters {
     parameters: object;
     logPath?: string;
+    isLink?: boolean;
 }
 
 interface Experiment {
@@ -76,7 +78,9 @@ class Sessionpro extends React.Component<{}, SessionState> {
                 end: '',
                 status: '',
                 acc: 0,
-                description: {}
+                description: {
+                    parameters: {}
+                }
             }],
             selNum: overviewItem,
             option: {},
@@ -162,6 +166,10 @@ class Sessionpro extends React.Component<{}, SessionState> {
                             desJobDetail.parameters = JSON.parse(tableData[item].hyperParameters).parameters;
                             if (tableData[item].logPath !== undefined) {
                                 desJobDetail.logPath = tableData[item].logPath;
+                                const isSessionLink = /^http/gi.test(tableData[item].logPath);
+                                if (isSessionLink) {
+                                    desJobDetail.isLink = true;
+                                }
                             }
                             topTableData.push({
                                 key: topTableData.length,
@@ -261,14 +269,35 @@ class Sessionpro extends React.Component<{}, SessionState> {
         }];
 
         const openRow = (record: TableObj) => {
+            const openRowDataSource = {
+                parameters: record.description.parameters
+            };
+            let isLogLink: boolean = false;
+            const logPathRow = record.description.logPath;
+            if (record.description.isLink !== undefined) {
+                isLogLink = true;
+            }
             return (
                 <pre id="description" className="jsontree">
                     <JSONTree
                         hideRoot={true}
                         shouldExpandNode={() => true}  // default expandNode
                         getItemString={() => (<span />)}  // remove the {} items
-                        data={record.description}
+                        data={openRowDataSource}
                     />
+                     {
+                        isLogLink
+                            ?
+                            <div className="logpath">
+                                <span className="logName">logPath: </span>
+                                <a className="logContent logHref" href={logPathRow} target="_blank">{logPathRow}</a>
+                            </div>
+                            :
+                            <div className="logpath">
+                                <span className="logName">logPath: </span>
+                                <span className="logContent">{logPathRow}</span>
+                            </div>
+                    }
                 </pre>
             );
         };

src/webui/src/components/SlideBar.tsx

@@ -11,13 +11,13 @@ class SlideBar extends React.Component<{}, {}> {
         <ul className="nav">
           <li>
             <IndexLink to={'/oview'} activeClassName="high">
-              <Icon className="icon" type="dot-chart" />Overview
+              <Icon className="icon" type="experiment" theme="outlined" />Overview
               <Icon className="floicon" type="right" />
             </IndexLink>
           </li>
           <li>
             <Link to={'/all'} activeClassName="high">
-              <Icon className="icon" type="message" />Optimization Progress
+              <Icon className="icon" type="dot-chart" />Optimization Progress
               <Icon className="floicon" type="right" />
             </Link>
           </li>
@@ -39,6 +39,11 @@ class SlideBar extends React.Component<{}, {}> {
               <Icon className="floicon" type="right" />
             </Link>
           </li>
+          <li>
+            <a href="https://github.com/Microsoft/nni/issues" target="_blank">
+              <Icon className="icon" type="smile" theme="outlined" />Feedback
+            </a>
+          </li>
         </ul>
       </div>
     );

src/webui/src/components/TrialStatus.tsx

@@ -12,6 +12,7 @@ require('echarts/lib/chart/scatter');
 require('echarts/lib/component/tooltip');
 require('echarts/lib/component/title');
 require('../style/trialStatus.css');
+require('../style/logPath.css');
 echarts.registerTheme('my_theme', {
     color: '#3c8dbc'
 });
@@ -19,6 +20,7 @@ echarts.registerTheme('my_theme', {
 interface DescObj {
     parameters: Object;
     logPath?: string;
+    isLink?: boolean;
 }
 
 interface TableObj {
@@ -238,6 +240,10 @@ class TrialStatus extends React.Component<{}, TabState> {
                         }
                         if (trialJobs[item].logPath !== undefined) {
                             desc.logPath = trialJobs[item].logPath;
+                            const isHyperLink = /^http/gi.test(trialJobs[item].logPath);
+                            if (isHyperLink) {
+                                desc.isLink = true;
+                            }
                         }
                         if (trialJobs[item].finalMetricData !== undefined) {
                             acc = parseFloat(trialJobs[item].finalMetricData.data);
@@ -472,14 +478,35 @@ class TrialStatus extends React.Component<{}, TabState> {
         ];
 
         const openRow = (record: TableObj) => {
+            const parametersRow = {
+                parameters: record.description.parameters
+            };
+            let isLogLink: boolean = false;
+            const logPathRow = record.description.logPath;
+            if (record.description.isLink !== undefined) {
+                isLogLink = true;
+            }
             return (
                 <pre className="hyperpar">
                     <JSONTree
                         hideRoot={true}
                         shouldExpandNode={() => true}  // default expandNode
                         getItemString={() => (<span />)}  // remove the {} items
-                        data={record.description}
+                        data={parametersRow}
                     />
+                    {
+                        isLogLink
+                            ?
+                            <div className="logpath">
+                                <span className="logName">logPath: </span>
+                                <a className="logContent logHref" href={logPathRow} target="_blank">{logPathRow}</a>
+                            </div>
+                            :
+                            <div className="logpath">
+                                <span className="logName">logPath: </span>
+                                <span className="logContent">{logPathRow}</span>
+                            </div>
+                    }
                     <Button
                         type="primary"
                         className="tableButton"

src/webui/src/style/logPath.css

+.logpath{
+    margin-bottom: 10px;
+    margin-left: 10px;
+}
+.logName{
+    color: #268BD2;
+}
+.logContent{
+    color: #333;
+}
+.logHref:hover{
+    color: blue;
+    text-decoration: underline;
+}

src/webui/src/style/slideBar.css

@@ -23,6 +23,7 @@
 .nav .icon{
     padding-left: 13px;
     padding-right: 13px;
+    font-size: 18px;
 }
 .nav .floicon {
     font-size: 16px;