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-# VTS Dashboard
-
-## Introduction
-
-The VTS Dashboard displays the summarized results of the Multi Device Tests along with graphs.
-
-## Installation
-
-### Steps to run locally:
-
-1. Google App Engine uses Java 8. Install Java 8 before running running locally:
- 'sudo apt install openjdk-8-jdk'
-
- To use java 8:
- Copy the following lines in ~/.bashrc :
-
-```
- function setup_jdk() {
- # Remove the current JDK from PATH
- if [ -n "$JAVA_HOME" ] ; then
- PATH=${PATH/$JAVA_HOME\/bin:/}
- fi
- export JAVA_HOME=$1
- export PATH=$JAVA_HOME/bin:$PATH
- }
-
- function use_java8() {
- # setup_jdk /usr/java/jre1.8.0_73
- setup_jdk /usr/lib/jvm/java-8-openjdk-amd64
- }
-
- Then from cmd:
- $ use_java8
-```
-
-2. Maven is used for build. Install Maven 3.3.9:
- Download maven from:
- https://maven.apache.org/download.cgi
-
- Steps to Install Maven:
- 1) Unzip the Binary tar:
- tar -zxf apache-maven-3.3.3-bin.tar.gz
-
- 2) Move the application directory to /usr/local
- sudo cp -R apache-maven-3.3.3 /usr/local
-
- 3) Make a soft link in /usr/bin for universal access of mvn
- sudo ln -s /usr/local/apache-maven-3.3.3/bin/mvn /usr/bin/mvn
-
- 4) Verify maven installation:
- $ mvn -v
-
- The output should resemble this:
-
- Apache Maven 3.3.9 (bb52d8502b132ec0a5a3f4c09453c07478323dc5; 2015-11-10T08:41:47-08:00)
- Maven home: /opt/apache-maven-3.3.9
- Java version: 1.8.0_45-internal, vendor: Oracle Corporation
- Java home: /usr/lib/jvm/java-8-openjdk-amd64/jre
- Default locale: en_US, platform encoding: UTF-8
- OS name: "linux", version: "3.13.0-88-generic", arch: "amd64", family: "unix"
-
-3. Install Google Cloud SDK. Follow the instructions listed on official source:
- https://cloud.google.com/sdk/docs/quickstart-linux
-
- The default location where the application searches for a google-cloud-sdk is:
- /usr/local/share/google/google-cloud-sdk
-
- Therefore move the extracted folder to this location: /usr/local/share/google/
-
- Otherwise, to have a custom location, specify the location of
- google-cloud-sdk in test/vti/dashboard/pom.xml by putting the configuration:
-
-```
- <configuration>
- <gcloud_directory>PATH/TO/GCLOUD_DIRECTORY</gcloud_directory>
- </configuration>
-```
- within the 'com.google.appengine' plugin tag :
-
-## To run GAE on local machine:
-
-$ cd test/vti/dashboard
-$ mvn appengine:devserver
-
-## To deploy to Google App Engine
-
-$ cd test/vti/dashboard
-$ mvn appengine:update
-
-visit https://<YOUR-PROJECT-NAME>.appspot.com
-
-## Update config file through gcloud command
-
-You can deploy or update GAE's a config file without deploying the whole project.
-The next commands show how to do it.
-
-```
-gcloud app deploy --project=<YOUR-PROJECT-NAME> cron.xml
-gcloud app deploy --project=<YOUR-PROJECT-NAME> queue.xml
-gcloud app deploy --project=<YOUR-PROJECT-NAME> datastore-indexes.xml
-```
-
-## Test Data
-
-### Purpose
-
-When you start your local GAE server, you will see empty page as the local datastore do not have any data.
-So we need to put some sample data into local datastore so that developers are able to continue to
-develop new features or fix bugs. Thus, we developed the next two test APIs, which are only available
-in your local dev environment.
-
-```
-http://127.0.0.1:8080/api/test_data/report
-http://127.0.0.1:8080/api/test_data/plan
-```
-
-### How to set test data on json files for generating mock data on local dev server
-
-If you want to generate some mock data for your local development, you need to set some fake data
-on json files under the testdata folder. However, you need to abide by some rules in doing this,
-otherwise you will end up with errors from the mock data dev API.
-
-First, in test-plan-report-data.json, you need to set the same number of data under "testCaseNames"
-and "results". For example, if you put 5 elements of data in "testCaseNames", you should put the same
-number of data under "results".
-
-```json
-........
-"testCaseRunList": [
- {
- "testCaseNames": [
- "stdatomic.atomic_exchange_64bit",
- "stdatomic.atomic_compare_exchange_64bit",
- "stdatomic.atomic_exchange_64bit",
- "stdatomic.atomic_compare_exchange_64bit",
- "stdatomic.atomic_exchange_64bit",
- "stdatomic.atomic_compare_exchange_64bit"
- ],
- "results": [
- 2,
- 2,
- 2,
- 2,
- 2,
- 2
- ]
- }
-],
-........
-```
-
-Second, in test-report-data.json file, you need to make sure that "testModules" should have
-the "testName"'s value under "testRunList" and the "testTimes" should have the "startTimestamp"'s value
-in the test-report-data.json file.
-
-test-report-data.json
-```json
-......
- "testRunList": [
- {
- "testName": "BionicUnitTests", <- "testModules" should be copied from here
- "type": 1,
- "startTimestamp":1515562811, <- "testTimes" should be copied from here
-......
- {
- "testName": "CpuProfilingTest", <- "testModules" should be copied from here
- "type": 2,
- "startTimestamp":1515562811, <- "testTimes" should be copied from here
-......
-```
-
-test-plan-report-data.json
-```json
-......
- {
- "testPlanName": "vts-serving-staging-fuzz",
- "testModules": ["BionicUnitTests", "CpuProfilingTest"],
- "testTimes": [1515562811, 1515562811]
- },
- {
- "testPlanName": "vts-serving-staging-hal-conventional",
- "testModules": ["BionicUnitTests", "CpuProfilingTest"],
- "testTimes": [1515562811, 1515562811]
- }
-......
-```
-"testModules" and "testTimes"'s elements order is also matter.
-
-### Command to generate mock data through API
-
-The next two commands will generate mock data in your local dev datastore.
-The execution order of the commands is very important, otherwise you can't find some of the data in your local datastore.
-Thus, please execute the below command as I wrote in order.
-
-```
-curl -d @testdata/test-report-data.json -m 30 -X POST http://127.0.0.1:8080/api/test_data/report -H "Content-Type: application/json" --verbose
-curl -d @testdata/test-plan-report-data.json -m 30 -X POST http://127.0.0.1:8080/api/test_data/plan -H "Content-Type: application/json" --verbose
-```
-
-## Monitoring
-
-The following steps list how to create a monitoring service for the VTS Dashboard.
-
-### Create a Stackdriver account
-
-1. Go to Google Cloud Platform Console:
- http://console.developers.google.com
-
-2. In the Google Cloud Platform Console, select Stackdriver > Monitoring.
- If your project is not in a Stackdriver account you'll see a message to
- create a new project.
-
-3. Click Create new Stackdriver account and then Continue.
-
-4. With your project shown, click Create account.
-
-5. In the page, "Add Google Cloud Platform projects to monitor", click Continue to skip ahead.
-
-6. In the page, "Monitor AWS accounts", click Done to skip ahead.
-
-7. In a few seconds you see the following message:
- "Finished Initial collection"
- Click Launch Monitoring.
-
-8. In the page, "Get reports by email", click No reports and Continue.
-
-9. You will see your Stackdriver account dashboard.
- Close the "Welcome to Stackdriver" banner if you don't need it.
-
-### Steps to create an uptime check and an alerting policy
-
-1. Go to Stack Monitoring console:
- https://app.google.stackdriver.com/
-
-2. Go to Alerting > Uptime Checks in the top menu and then click Add Uptime Check.
- You see the New Uptime Check panel.
-
-3. Fill in the following fields for the uptime check:
-
- Check type: HTTP
- Resource Type: Instance
- Applies To: Single, lamp-1-vm
- Leave the other fields with their default values.
-
-4. Click Test to verify your uptime check is working.
-
-5. Click Save. After you click on save you'll see a panel to
- 'Create Alerting Policy'
-
-6. Fill out the configuration for notifications and click save policy.
-
-### Test the check and alert
-
-This procedure can take up to fifteen minutes.
-
-To test the check and alert, go to the VM Instances page, select your instance, and click Stop from the top menu.
-You'll have to wait up to five minutes for the next uptime check to fail. The alert and notification don't happen until the next failure occurs.
-
-To correct the "problem," return to the VM Instances page, select your instance, and click Start from the top menu.