The Javascript client library to be used from browser/nodejs to raise analytics events for Core-Analytics-Server.
Embed the script in your HTML file and replace your_analytics_account_ID and appName
in the initAnalyticsSession call below:
<!-- Global window.analytics object - core.ai analytics services -->
<script async src="https://unpkg.com/@aicore/core-analytics-client-lib/src/analytics.js"
onload="analyticsLibLoaded()"></script>
<script>
if(!window.analytics){ window.analytics = {
_initData: [], loadStartTime: new Date().getTime(),
event: function (){window.analytics._initData.push(arguments);},
countEvent: function(t,c,s,n){window.analytics._initData.push([t,c,s,n||1,0]);},
valueEvent: function(t,c,s,v,n){window.analytics._initData.push([t,c,s,n||1,v||0]);}
};}
function analyticsLibLoaded() {
initAnalyticsSession('your_analytics_account_ID', 'appName');
analytics.valueEvent("core-analytics", "client-lib", "loadTime", (new Date().getTime())-analytics.loadStartTime);
}
</script>This will create a global analytics variable which can be used to access the analytics APIs.
NB: The script is loaded async, so it will not block other js scripts. analytics.countEvent and analytics.valueEvent
APIs can be called anytime after the above code and need not wait for the script load to complete.
Events are aggregated and sent to the analytics server periodically. Two APIs are available depending on your use case:
Use this to track how many times something happens.
// countEvent(eventType, eventCategory, subCategory, eventCount)
// Count a single occurrence
analytics.countEvent("platform", "os", "linux");
// Count multiple occurrences at once (e.g., html file opened 100 times)
analytics.countEvent("file", "opened", "html", 100);eventType- A string, requiredeventCategory- A string, requiredsubCategory- A string, requiredeventCount(Optional) : A non-negative number indicating the number of times the event happened. Defaults to 1.
Use this to measure quantities like latencies, durations, sizes, or anything where you need running averages and distributions.
// valueEvent(eventType, eventCategory, subCategory, eventValue, count)
// Track startup time of 250 milliseconds
// Note that the value is unitless from analytics perspective. Unit is deduced from subCategory name.
analytics.valueEvent("platform", "performance", "startupTimeMs", 250);
// Track fractional values (e.g., CPU utilization)
analytics.valueEvent("platform", "CPU", "utilization", .45);
// Track that a system has 8 cores with each core having 2300MHz frequency
analytics.valueEvent("platform", "CPU", "coreCountsAndFrequencyMhz", 2300, 8);eventType- A string, requiredeventCategory- A string, requiredsubCategory- A string, requiredeventValue(Optional) : A numeric value associated with the event. Defaults to 0.count(Optional) : A non-negative number indicating how many times this value occurred. Defaults to 1.
The legacy analytics.event(eventType, eventCategory, subCategory, eventCount, eventValue) API is still
available for backwards compatibility but is deprecated. Please migrate to countEvent or valueEvent.
There may be cases where you would want to load the script from JS alone. For Eg. you may want to delay library loading till user consents GDPR. For such use cases, use the below code.
function _initCoreAnalytics() {
// Load core analytics scripts
if(!window.analytics){ window.analytics = {
_initData: [], loadStartTime: new Date().getTime(),
event: function (){window.analytics._initData.push(arguments);},
countEvent: function(t,c,s,n){window.analytics._initData.push([t,c,s,n||1,0]);},
valueEvent: function(t,c,s,v,n){window.analytics._initData.push([t,c,s,n||1,v||0]);}
};}
let script = document.createElement('script');
script.type = 'text/javascript';
script.async = true;
script.onload = function(){
// replace `your_analytics_account_ID` and `appName` below with your values
window.initAnalyticsSession('your_analytics_account_ID', 'appName'); // if you have a custom analytics server
window.analytics.valueEvent("core-analytics", "client-lib", "loadTime",
(new Date().getTime())- window.analytics.loadStartTime);
};
script.src = 'https://unpkg.com/@aicore/core-analytics-client-lib/dist/analytics.min.js';
document.getElementsByTagName('head')[0].appendChild(script);
}
_initCoreAnalytics();To load the library, just call _initCoreAnalytics() from JS. Note that you may not be able
to use analytics.event() APIs before _initCoreAnalytics() call is made.
If you want to modify how analytics library collects and sends information, it is recommended to do so with analytics server accountConfig.
Alternatively for one off development time uses, the behavior of the library can be configured
during the initAnalyticsSession call. initAnalyticsSession() takes the following parameters:
accountID: Your analytics account id as configured in the server or core.ai analyticsappName: The app name to log the events against. Eg: "phoenixCode"analyticsURL(Optional): Provide your own analytics server address if you self-hosted the server.postIntervalSeconds(Optional): This defines the interval between sending analytics events to the server. Default is 1 minutes or server controlled.granularitySec(Optional): The smallest time period under which the events can be distinguished. Multiple events happening during this time period is aggregated to a count. The default granularity is 3 Seconds or server controlled, which means that any events that happen within 3 seconds cannot be distinguished in ordering.
// Init with default values and server controlled config. use the following `analyticsLibLoaded` function
function analyticsLibLoaded() {
initAnalyticsSession('your_analytics_account_ID', 'appName');
analytics.valueEvent("core-analytics", "client-lib", "loadTime", (new Date().getTime())-analytics.loadStartTime);
}
//Replace initAnalyticsSession in analyticsLibLoaded function for the below use cases.
// Example for custom initSession where the analytics aggregated data
// is posted to custom server https://localhost:3000 every 600 secs
// with a granularity(resolution) of 5 seconds.
initAnalyticsSession("accountID", "appName", "https://localhost:3000", 600, 5);If you want to see detailed logs on what is happening inside analytics lib, use the below code:
// Just before initAnalyticsSession call, set or unset window.analytics.debugMode
window.analytics.debugMode = true;
initAnalyticsSession("accountID", "appName");Since this is a pure JS template project, build command just runs test with coverage.
> npm install # do this only once.
# Before raising a pull request, run release script and add the generated
# minified files in dist folder to commits .
# WARNING!!!: If the minified files are not checked in git push will fail.
> npm run releaseTo lint the files in the project, run the following command:
> npm run lintTo Automatically fix lint errors:
> npm run lint:fixTo run tests, open the file test/unit-test.html in the browser.
To publish a package to npm, raise a pull request against npm branch.
We use Rennovate for dependency updates: https://blog.logrocket.com/renovate-dependency-updates-on-steroids/
- By default, dep updates happen on sunday every week.
- The status of dependency updates can be viewed here if you have this repo permissions in github: https://app.renovatebot.com/dashboard#github/aicore/template-nodejs
- To edit rennovate options, edit the rennovate.json file in root, see https://docs.renovatebot.com/configuration-options/ Refer
Several automated workflows that check code integrity are integrated into this template. These include:
- GitHub actions that runs build/test/coverage flows when a contributor raises a pull request
- Sonar cloud integration using
.sonarcloud.properties
SonarLint is currently available as a free plugin for jetbrains, eclipse, vscode and visual studio IDEs. Use sonarLint plugin for webstorm or any of the available IDEs from this link before raising a pull request: https://www.sonarlint.org/ .
SonarLint static code analysis checker is not yet available as a Brackets extension.
See https://mochajs.org/#getting-started on how to write tests Use chai for BDD style assertions (expect, should etc..). See move here: https://www.chaijs.com/guide/styles/#expect
