diff --git a/.gitignore b/.gitignore index 5395ea7..4c768d5 100755 --- a/.gitignore +++ b/.gitignore @@ -10,3 +10,4 @@ website/build/ website/yarn.lock website/node_modules website/i18n/* +website/.docusaurus diff --git a/docs/intro.md b/docs/intro.md deleted file mode 100644 index 7149406..0000000 --- a/docs/intro.md +++ /dev/null @@ -1,158 +0,0 @@ ---- -id: home -title: Mojito framework overview -sidebar_label: Overview ---- - -

Mojito experimentation framework

- -Mojito is a modular, source-controlled split testing framework that lets you build, launch and analyse experiments via Git/CI. - -It is comprised of 3 core modules that can be used independently of each other or in unison: - -1. **[Mojito JS Delivery](js-delivery-intro)**: Run experiments on your site through JS. ([Github](https://github.com/mint-metrics/mojito-js-delivery)) -2. **[Mojito Snowplow Storage](snowplow-storage-intro)**: Events & data models for tracking into Snowplow Analytics. ([Github](https://github.com/mint-metrics/mojito-snowplow-storage)) -3. **[Mojito R Analytics](r-analytics-intro)**: Templatable RMarkdown experiment reports. ([Github](https://github.com/mint-metrics/mojito-r-analytics)) - -![Mojito's 3 components](/img/modules.png) - -## Features - -- Under 5kb minified & gzipped -- Define experiments with simple JS or YAML -- Self-hosted & git-controlled for familiar code review / merging -- Expressive trigger system & utilities -- Variant code (JS/CSS) minification & linting -- Track and handle JS errors caused by your variant code - -## Mojito vs. [vendor] - -Differentiating features between popular vendors' tools and Mojito out of the box: - -Feature | Optimizely X | Google Optimize | Mojito ---- | --- | --- | --- -Open-source license | ❌ | ❌ | ✅ BSD3 -Light front-end codebase * | ❌~80kb | ❗~25kb | ✅<5kb -Git source control & CI | ❌ | ❌ | ✅ -Variant error-tracking/handling | ❌ | ❌ | ✅ -Auto CSS/JS minification | ❗([not custom code](https://community.optimizely.com/t5/Using-Optimizely/Minified-version-of-Optimizely-X-snippet/m-p/21411#M8655)) | ❓ | ✅ -Self-hosted | ❗ (for a fee) | ❗(via API) | ✅ -Data ownership | ❗(via S3 export) | ❗(via 360/BigQuery) | ✅ -Retroactively add new metrics | ✅ | ❗(360 only) | ✅ -Server-side/App testing | ✅ | ❗(via API) | ❗(via **Storage**) -WYSIWYG test editor | ✅ | ✅ | ❌ - -\* Tested 2019-07-05 - -## Getting started - -Mojito consists of three components, which are often switched out in the course of Mint Metrics' client services: - -1. **Delivery**: Front-end libraries to reliably control which treatments users are exposed to. e.g. [Mojito JS Delivery](js-delivery-intro) -2. **Storage**: Data collection modules and data modelling steps to power your reports. e.g. [Mojito Snowplow Storage](snowplow-storage-intro) -3. **Analytics**: Tools to measure & report on the effects caused by your treatments. e.g. [Mojito R Analytics](r-analytics-intro) - -Get up and running quickly with the README files inside each section. - -## Example experiment - -Using Mojito's CI tools, you can set up experiments in YAML & JS: - -```{yaml} -id: ex1 -name: Example test 1 -state: live -sampleRate: 0.75 -trigger: trigger.js -recipes: - 0: - name: Original - 1: - name: Variant - js: variant.js - css: variant.css -``` - -Where ```trigger.js``` activates the experiment when a condition is met and a callback to activate is fired: - -```{js} -function trigger(test) { - if (document.location.pathname === '/') test.activate(); -} -``` - -Upon activation, the will include 75% of traffic (```sampleRate: 0.75```) and split it 50-50 between "Original" and "Variant" groups. - -For users assigned to the "Variant" group, we execute **a)** ```variant.js``` and **b)** ```variant.css``` files to transform the page through a **a)** JS function and **b)** CSS stylesheet respectively. - -### After you've defined an experiment YAML... - -Run the Gulp pipeline to lint/test/publish your container. - -1. Install the necessary NPM packages: ```npm install``` -2. Build & publish your testing container: ```gulp scripts-local && gulp publish``` - -## Example analytics reports - -If you use our Snowplow/Redshift & R Analytics component for reporting, all your metrics can be reported on with a simple array of metrics. - -```{r} -wave_params <- list( - client_id = "mintmetrics", - wave_id = "ex1", - start_date = "2019-05-15 09:19:45", - stop_date = "2019-06-05 14:29:00", - time_grain = "hours", - subject = "usercookie", - recipes = c("Original", "Variant") -) - -goalList <- list( - list( - title = "Transactions", - goal = "purchase", - operand = "=" - ), - list( - title = "Thankyou page views", - goal = "page_view /contact/thank-you%", - operand = "like" - ) -) -goalList <- mojitoFullKnit(wave_params, goal_list = goalList) -``` - -For this experiment, we'll report on transactions and page views: - -![Measuring the performance of a treatment relative to the control group in Mojito.](/img/reports.png) - -## Support for other analytics back-ends - -You don't exactly need Snowplow Analytics to use Mojito. You can also track experiments to wherever you like, via a custom storage adapter. E.g. To Google Tag Manager, Adobe etc. - -You can even [hook Mojito Delivery up to Google Optimize's reports for free](https://mintmetrics.io/web-analytics/track-your-optimizely-vwo-tests-inside-google-optimize/). - -## Server-side and app split testing libraries - -Currently we support only front-end JavaScript experimentation through our **Delivery** module. Until we build out SDKs for apps and server-side code, our support for experiments on these platforms is through our **Storage** and **Analytics** components. - -## Using modules independently - -The modular structure makes it easy to use components of Mojito independently of one another. We often use Mojito components individually when: - -1. Existing SaaS tool like Optimizely, VWO or Convert.com is implemented as a **Delivery** mechanism: Track experiments into [Storage](snowplow-storage-intro) and [Analytics](r-analytics-intro) reports -2. Existing **Storage** target and **Analytics** reports, such as Google Optimize are being used: Build and launch experiments from Git/CI with [Mojito's JS split testing library](js-delivery-intro) - -## Credits - -Our **Delivery** JS library is a heavily modified fork of the excellent [jamesyu/cohorts](https://github.com/jamesyu/cohorts) lib. Meanwhile we employ heavy use of the [Snowplow Analytics event pipeline](https://snowplowanalytics.com/) for our **Storage** component and [RStudio/Knitr](https://rmarkdown.rstudio.com/) for our **Analytics** reports. - - -## Getting involved - -We would love to see PRs! We're able to assist if you hit any snags getting set up. - -Reach out to us via: - - - [Mint Metrics' website](https://mintmetrics.io/) - - [Open an issue on Github](https://github.com/mint-metrics/mojito/issues/new) diff --git a/docs/js-delivery-api-execution-order.md b/docs/js-delivery-api-execution-order.md deleted file mode 100644 index bcb68d8..0000000 --- a/docs/js-delivery-api-execution-order.md +++ /dev/null @@ -1,89 +0,0 @@ ---- -id: js-delivery-api-execution-order -title: Mojito test activation conditions & order of execution -sidebar_label: Test activation & execution order -mermaid_chart_source: https://mermaidjs.github.io/mermaid-live-editor/#/edit/eyJjb2RlIjoiZ3JhcGggVERcbnN1YmdyYXBoIFwiQ29udGFpbmVyIGNvZGVcIlxuQShNb2ppdG8gbGliIHJ1bnMpIC0tPiBCKFNoYXJlZCBjb2RlIHJ1bnMpIFxuZW5kXG5cbnN1YmdyYXBoIFwiRWFjaCB0ZXN0IG9iamVjdFwiXG5CIC0tPiBEKFwiVGVzdCBsb2FkcyAmIHRyaWdnZXIoKSBleGVjdXRlc1wiKVxuRCAtLT4gfFwi4pyUIFRlc3QgYWN0aXZhdGUoKSBjYWxsZWRcInwgRShcIkNoZWNrOiBGb3JjZWQgaW50byByZWNpcGVcIilcbkUgLS0-IHxcIuKclyBOb3QgZm9yY2VkIGludG8gcmVjaXBlXCJ8IEYoXCJDaGVjazogUHJldmlvdXNseSBidWNrZXRlZFwiKVxuRiAtLT4gfFwi4pyXIE5vdCBwcmV2aW91c2x5IGJ1Y2tldGVkXCJ8IEcoXCJDaGVjazogVGVzdCBzdGF0ZSBpcyAnbGl2ZSdcIilcbkcgLS0-IHxcIuKclCBUZXN0IGlzIGxpdmVcInwgSChcIkFzc2lnbiBTdWJqZWN0IGJ5IHNhbXBsZSByYXRlXCIpXG5cbkUgLS0-IHxcIuKclCBGb3JjZWQgYnkgcHJldmlldyBtb2RlXCJ8IElcbkUgLS0-IHxcIuKclCBGb3JjZWQgYnkgZGl2ZXJ0XCJ8IE4oXCJDaGVjazogVGVzdCBzdGF0ZSBpcyAnbGl2ZSdcIilcbk4gLS0-IHxcIuKclCBSdW4gZGl2ZXJ0ZWQgcmVjaXBlXCJ8IEtcbk4gLS0-IHxcIuKclyBUZXN0IGlzIG5vdCBsaXZlXCJ8IFpcbkYgLS0-IHxcIuKclCBQcmV2aW91c2x5IGFzc2lnbmVkIHJlY2lwZVwifCBJXG5IIC0tPiB8XCLinJQgQnVja2V0ZWQgaW50byB0ZXN0XCJ8IEkoQXNzaWdubWVudCBzdG9yZWQgaW4gY29va2llKVxuXG5zdWJncmFwaCBcIiBcIlxuSSAtLT4gSihFeHBvc3VyZSB0cmFja2luZyBydW5zKVxuSiAtLT4gSyhTaGFyZWQgQ1NTICYgSlMgcnVucylcbksgLS0-IEwoUmVjaXBlIENTUyAmIEpTIHJ1bnMpXG5lbmRcblxuRCAtLT4gfFwi4pyXIFRlc3QgYWN0aXZhdGUoKSBub3QgY2FsbGVkXCJ8IFooQ29tcGxldGUpXG5HIC0tPiB8XCLinJcgVGVzdCBpcyBub3QgbGl2ZVwifCBaXG5IIC0tPiB8XCLinJcgRXhjbHVkZWQgYnkgc2FtcGxlIHJhdGVcInwgWlxuTCAtLT4gWlxuZW5kXG5cblxuY2xhc3NEZWYgcnVuVXNlciBmaWxsOiNhZmEsc3Ryb2tlOiNhZmE7XG5jbGFzcyBCIHJ1blVzZXI7XG5jbGFzcyBEIHJ1blVzZXI7XG5jbGFzcyBLIHJ1blVzZXI7XG5jbGFzcyBMIHJ1blVzZXI7XG4iLCJtZXJtYWlkIjp7InRoZW1lIjoibmV1dHJhbCJ9fQ -build_notes: Save as an SVG and add "style='font-size: 14px !important;'" to the svg node as an attribute. ---- - -Mojito runs experiments as the browser executes your JavaScript snippet. This article should help you reason about: - - - When your experiments activate within a page load - - Conditions required for activation - - In which order the Mojito library, shared code & experiments fire in - -And of course, [Mojito's open source code](https://github.com/mint-metrics/mojito-js-delivery/blob/master/lib/mojito.js) is a useful canonical reference, too. - -## Split test object execution flowchart - -This is a simplified flowchart of how Mojito runs your experiment code. - -**Legend:** - - - _Grey:_ Library code - - _Green:_ User code - -[Open diagram in full screen](/img/js-delivery/api/execution-order.png). - - -![Mojito JS Delivery split test activation and order of execution flowchart.](/img/js-delivery/api/execution-order.png) - - -## Fix timing issues and avoid race conditions - -Experiment triggers fire as soon as the test object loads. If you `activate` your experiment too soon, elements that your test depends on may not have loaded, causing it to fail. - -Therefore, your test's `trigger` function may need to delay activation until everything you need on the page has loaded. - -We recommend delaying activation until the page is ready to be transformed, by using Mojito utilities, like: - - - [`Mojito.utils.domReady()`](js-delivery-utilities#mojitoutilsdomready) - - [`Mojito.utils.waitForElement()`](js-delivery-utilities#mojitoutilswaitforelement) - - [`Mojito.utils.waitUntil()`](/js-delivery-utilities#mojitoutilswaituntil) - -See [more utilities here](/js-delivery-utilities) - - -## Order of experiments inside your container - -Assuming you have a couple of experiments in your container, they will be loaded from your `./lib/waves/` folder in alphabetical order. Like so: - -1. `Mojito library code` -2. `Shared code` -3. Test objects: - 1. `aa3` - 2. `w1` - 3. `w5` - -This order is useful to keep in mind if/when you need to access variables from one test object in another. - - -## External activation & cross-experiment activation - -When a test object loads, it exposes its `activate()` function so you may trigger it from an external JS or another test object. As you can see in the execution order flowchart above, this lets you bypass the test's `trigger()` function logic: - -```js -Mojito.testObjects.w1.activate(); -``` - -This is useful for building tests that are dependant on one another: - - - W12: - - Control - - Treatment (Runs `Mojito.testObjects.w13.activate();`): - - W13 : - - Control - - Treatment - -Experiments can only be activated once per page unless you directly call/access the experiments' `js` and `css` files. - -### Wait until the experiment has loaded - -Until the test object has loaded, you will not be able to activate it externally. As above, we recommend using a polling function to wait until the experiment has loaded: - -```js -Mojito.utils.waitUntil(function() { - return !!Mojito.testObjects.w1; -}, Mojito.testObjects.w1.activate); -``` - diff --git a/docs/js-delivery-hosting.md b/docs/js-delivery-hosting.md deleted file mode 100644 index b118eba..0000000 --- a/docs/js-delivery-hosting.md +++ /dev/null @@ -1,36 +0,0 @@ ---- -id: js-delivery-hosting -title: Hosting your Mojito split testing container -sidebar_label: Host your container ---- - -You own the full source to your Mojito container, so you have unlimited options to host it, including: - - - Bundling Mojito JS with your existing libraries & setting a strong cache policy for the library - - Keeping Mojito JS in a separate library and publishing it to your own web host - - Or if you're like us, host Mojito JS on AWS/Cloudfront with Bitbucket Pipelines for CI - -In any case, you'll benefit from faster page load times & better security by self-hosting Mojito JS. - -## Hosting Mojito JS Delivery on AWS S3 / Cloudfront - -Mint Metrics host Mojito JS containers on Amazon's infrastructure on behalf of clients. It's fast, cheap and reliable. - -### You'll need - - - Amazon AWS account - - (Optional) For web-based CI, host your [Mojito JS](https://github.com/mint-metrics/mojito-js-delivery) repo on [Atlassian Bitbucket](https://bitbucket.org/product) and deploy containers using [Pipelines Build minutes](https://bitbucket.org/product/features/pipelines) - - -### Getting set up - -1. [Create an S3 Bucket and Cloudfront distribution to serve Mojito JS from](js-delivery-hosting-s3-cf.md) -2. [Configure your build script's `config.js`](js-delivery-hosting-build-script.md) -3. [Add a user to publish Mojito from your repo to S3](js-delivery-hosting-iam.md) -4. [(Optional) Securely add the Mojito user's credentials to Atlassian Bitbucket for publishing](js-delivery-hosting-bitbucket.md) -5. [Installing Mojito JS in your website or application](js-delivery-hosting-snippet.md) - -## All done? - - * [Back to experiment setup](js-delivery-setup.md) - * [Return to home](js-delivery-intro.md) diff --git a/docs/js-delivery-preview-launch.md b/docs/js-delivery-preview-launch.md deleted file mode 100644 index 3bc3c85..0000000 --- a/docs/js-delivery-preview-launch.md +++ /dev/null @@ -1,82 +0,0 @@ ---- -id: js-delivery-preview-launch -title: Previewing & launching experiments with Mojito JS Delivery -sidebar_label: Preview & launch a test ---- - -## Building the JS container - -Whenever you make changes to experiments in Mojito, you need to build/publish your container. - -1. (Optional) Customise your Mojito container name in [`repo/config.js`](https://github.com/mint-metrics/mojito-js-delivery/blob/master/config.js) -2. If you haven't done so already, install the necessary NPM packages: ```npm install``` -3. Build your Mojito container: ```gulp build``` - -## Previewing experiments - -Previewing experiments is accomplished by using URL parameters to force specific variants to render. - -### Syntax - -`mojito_{id}={variant_id}` - -Token |   --- | -- -`{id}` | Experiment id to be previewed -`{variant_id}` | Recipe/variant id to render - -### Example - -`https://mywebsite.com/?mojito_ex2=1` - -This forces the treatment variant of our [simple experiment](js-delivery-setup.md#yaml-setup) to be displayed on `mywebsite.com`. - -### Notes - -- Forced variants **will** respect experiment trigger activation conditions - -- Forced variants **will not** respect an experiment's `state`, i.e. forcing works in both live and staging mode - -- Multiple experiments can be forced at the same time by stringing URL parameters, e.g. `https://mywebsite.com/?mojito_w1=1&mojito_w2=1` - -- Forcing variants will cookie you to that variant across pages and sessions, except when a test's `state` is in `divert` mode. To return to the control variant, you can: - - - Force the control variant using URL parameters as above, - - - Or delete the cookie: `_mojito_{id}-staging` - -## Launch & takedown - -For most of the time you'll be building an experiment and QAing it in `staging` mode. But when it's ready to launch, you'll need to set it to allow traffic to be bucketed: - -### Launch - -To launch an experiment, set its `state` parameter to `live` and check that `sampleRate` is set to a value greater than 0. E.g. `0.1` for 10% or `1` for 100%. All of this can be handled on the command line: - -```sh -# Launch "ex1" to 10% of traffic, build and publish to production -gulp set --live ex1 --traffic 0.1 -gulp build -gulp publish --production -``` - -### Takedown - -To takedown an experiment, set its `state` parameter to `staging` (to keep the test in the container) or `inactive` (to archive the test from the container). - -```sh -# Takedown "ex1", build and publish with the updated logic -gulp set --inactive ex1 -gulp build -gulp publish --production -``` - -[Read more about experiment parameters](js-delivery-setup.md#experiment-parameters). - -Following any changes, you’ll need to [build](#building-the-js-container) and publish your container. - -## Next steps - -To use Mojito in a production site, you'll likely need to host the container on a CDN before including it in your site's header. [Find out more about hosting and publishing](js-delivery-hosting.md). - -You might also want to check out [Mojito's JS utilities](js-delivery-utilities.md) that are handy to get around some common experiment setup issues. \ No newline at end of file diff --git a/docs/js-delivery-setup-shared-parameters.md b/docs/js-delivery-setup-shared-parameters.md deleted file mode 100644 index cec5ab0..0000000 --- a/docs/js-delivery-setup-shared-parameters.md +++ /dev/null @@ -1,135 +0,0 @@ ---- -id: js-delivery-setup-shared-parameters -title: Experiment shared code & other test parameters -sidebar_label: Parameters & shared code ---- - -Your JS and CSS can have a shared scope within an experiment. E.g. two treatment variants might have some stying commonalities. We can reduce repeated code by sharing common elements across variants. - -In the examples below, we'll use the [YAML method](js-delivery-setup-yaml.md). However the same keys and methods will work for the [JS method](js-delivery-setup-js.md). - -## Shared JS - -Setup instructions: - -1. Create a JS file containing shared code in an experiment's directory e.g. `repo/lib/waves/mytest/shared.js` -2. In `config.yml`, point the root level `js` key to the file -3. Any variant can now reference code within the shared JS through `{{testObject}}.options.js()` - -As an example, you should have: - -`repo/lib/waves/mytest/shared.js`: - -```js -function shared() -{ - return { - sharedFn: function() { - //do something - }, - sharedVal: 'something' - ... - } -} -``` - -`repo/lib/waves/mytest/config.yml`: - -```yml -js: shared.js -id: mytest -name: My example test -sampleRate: 1 -state: staging -trigger: trigger.js -recipes: - 0: - name: Control - 1: - name: Treatment1 - js: treatment1.js - 2: - name: Treatment2 - js: treatment2.js -``` - -`repo/lib/waves/mytest/treatment1.js`: - -```js -// pass in the 'test' object into the treatment function -function treatment1(test) { - // call shared functions using dot notation - var sharedObject = test.options.js(); - sharedObject.sharedFn(); - // ... other transformations -} -``` - -`repo/lib/waves/mytest/treatment2.js`: - -```js -// pass in the 'test' object into the treatment function -function treatment2(test) { - // call shared functions using dot notation - var sharedObject = test.options.js(); - sharedObject.sharedFn(); - // ... other transformations -} -``` - -## Shared CSS - -Setup instructions: - -1. Create a CSS file containing shared CSS in an experiment's directory -2. In `config.yml`, point the root level `css` key to the file - -Shared CSS is injected into the document when the test is activated, regardless of the variant (including the "Control"), so be sure to scope your shared CSS properly. - -`repo/lib/waves/mytest/shared.css`: - -```css -.myClass { - color: blue; - padding: 10px 10px; -} -``` - -`repo/lib/waves/mytest/config.yml`: - -```yml -css: shared.css -id: mytest -name: My example test -sampleRate: 1 -state: staging -trigger: trigger.js -recipes: - 0: - name: Control - 1: - name: Treatment2 - js: treatment1.js - 2: - name: Treatment2 - js: treatment2.js -``` - -## Experiment parameters - -Important experiment parameters to understand are: - -Parameter key | Values | Description ---- | --- | --- -`state` | `live` or `staging` or `inactive` | Controls the status of the experiment. `staging` means the experiment is disabled from normal visitors but able to be [previewed](js-delivery-preview-launch.md). `inactive` means the experiment will be ignored during build but remain in your repo for reference. -`sampleRate` | Float between `0` and `1` | Controls portion of overall traffic to be allocated to the experiment. `0` = 0%, `1` = 100%. -`id` | A string | Identifier used for analytics/reporting and forcing variants in preview mode. -`recipe` | A nested list | Defines experiment variants and their parameters.
`{recipeId}`: *A string: variant indentifier*
    `name: {recipeName}` *A string: descriptive variant name*
    `js: {recipe.js}` *Variant JS filename(optional)*
    `css: {recipe.css}` *Variant CSS filename (optional)*
    `sampleRate: {float between 0 and 1}` *Controls portion of experiment traffic to allocate to variant (optional)* -`trigger` | `{trigger.js}` | Experiment trigger JS filename. -`divertTo` | `{recipeId}` | Allows diverting 100% of traffic to a specific variant. Handy when you have found a winner and want to temporarily divert traffic to it. - -Learn more [about the test object keys here](js-delivery-test-object.md) or review the [`config-template.yml` template on Github](https://github.com/mint-metrics/mojito-js-delivery/blob/master/config-template.yml) - -## Next steps - -Time to [make sure you're tracking it effectively](js-delivery-customisation.md). diff --git a/docs/js-delivery-setup.md b/docs/js-delivery-setup.md deleted file mode 100644 index 0566b7a..0000000 --- a/docs/js-delivery-setup.md +++ /dev/null @@ -1,40 +0,0 @@ ---- -id: js-delivery-setup -title: Setting up experiments with Mojito JS Delivery -sidebar_label: Two supported methods ---- - -There are two approaches to setup experiments in Mojito. The **gulp** builder supports both methods when building the JS container. - -1. **[Straight JS](js-delivery-setup-js.md)**: define experiment parameters, trigger code and variant code in a single JS file: `test-object.js` - -2. **[YAML / CLI *(recommended)*](js-delivery-setup-yaml.md)**: define experiment parameters in a YAML file: `config.yml`. All JS and CSS are separated into individual files. - - -## Why we recommend YAML / CLI - -- **Easiest to read & setup**: YAML makes your experiment configuration easy to read & manage - -- **Easier to develop experiments**: Separating JS & CSS is good practice; great for debugging & syntax highlighting - -- **Automatic variant code minification**: The YAML build path minifies & lints your variant code to minimise container weight - -- **Superior code portability**: Send winning variant code to your developers for permanent implementation - your code is separated, linted and ready to share - -## We'll setup the following test using both methods: - -The parameters of the test will be: - -Parameter |   ---- | --- -Trigger | Activate when users enter your site from google -Control variant | No change -Treatment variant | Alert the user with a simple message - - -Even though we recommend the YAML method, you may find it beneficial to see a **straight JS** setup, as it better reflects how Mojito works under the hood. - -## Next steps - -1. [Setup a test using the JS method](js-delivery-setup-js.md) -2. [Setup a test using the YAML / CLI method](js-delivery-setup-yaml.md) diff --git a/docs/js-delivery-test-object.md b/docs/js-delivery-test-object.md deleted file mode 100644 index 4e14849..0000000 --- a/docs/js-delivery-test-object.md +++ /dev/null @@ -1,114 +0,0 @@ ---- -id: js-delivery-test-object -title: Test object parameter reference in Mojito JS Delivery -sidebar_label: Test object parameters ---- - -The test object contains everything an experiment needs to run, including the trigger, tracking information and recipe code (or variants). When you pass all this information into the ```Mojito.addTest()``` function, Mojito will execute all the logic in your experiment based on its order of execution. - -## Example test objects in `JS` & `YAML` formats - - - -```js -Mojito.addTest({ - "id": "w12", - "name": "Example test", - "divertTo": "1", - "sampleRate": 1, - "state": "live", - "gaExperimentId": "dsdy2h872g7d32h782n2", - "trigger": function (testObject) { - if (document.location.pathname === "/") { - // Activate the test at DOM Content Loaded - Mojito.utils.domReady(testObject.activate); - } - }, - "recipes": { - "0": { - "name": "control" - }, - "1": { - "name": "treatment", - "js": function(testObject) { - alert("You're in an experiment..."); - }, - "css": "body{display:none;}" - } - } -}); -``` - - -```yml -id: w12 -name: Example test -divertTo: "1" -sampleRate: 1 -state: live -gaExperimentId: dsdy2h872g7d32h782n2 -trigger: trigger.js -recipes: - "0": - name: control - "1": - name: treatment - js: 1.js - css: 1.css -``` - - -```js -function trigger(testObject) { - if (document.location.pathname === "/") { - // Activate the test at DOM Content Loaded - Mojito.utils.domReady(testObject.activate); - } -} -``` - - -```js -function(testObject) { - alert("You're in an experiment..."); -} -``` - - -```css -body { - display:none; -} -``` - - - -## Test object: Root level - -Parameter | Description ---|-- -**css**
Type: *string*
*Optional* | Shared CSS for the test object that is applied to all recipes.
`JS format`: Expects a JS string of CSS styles.
`YAML format`: Expects a relative path to a CSS file. -**divertTo**
Type: *string*
*Optional* | Enable divert mode to send all eligible traffic into a particular recipe's key. -**id**
Type: *string*
*Required* | A canonical test object ID by which subjects' assignments are recorded against. -**js**
Type: *function/object*
*Optional* | Shared JS function or object for the test object that is applied to all recipes.
`JS format`: Expects a valid JavaScript function on this key.
`YAML format`: Expects a relative path to a JS file with that function/object. -**name**
Type: *string*
*Required* | The name of the test object that's useful in tracking. -[**recipes**](#recipes-object)
Type: *object*
*Required* | An object containing the definition of available recipes. [See object definition](#recipes-object) -**sampleRate**
Type: *number*
*Required* | The percentage of traffic to assign into the experiment between 0 and 1 (where 1 is 100%) -**state**
Type: *string*
*Required* | A test object's state. Can be either:
`live` - in the container, accepting traffic into the experiment
`staging` - built into the container but not accepting traffic without a preview URL
`inactive` - not parsed or built into the container -**trigger**
Type: *function*
*Required* | A JavaScript function executed as soon as the test object is loaded and can be used to conditionally activate an experiment.
`JS format`: Expects a valid JavaScript function on this key.
`YAML format`: Expects a relative path to a JS file with that function. - -## Recipes object - -Parameter | Description ---|-- -[**{{recipeId}}**](#recipe-objects-sub-level)
Type: *string*
*Required* | The canonical key that references a test object within the cookies and preview URLs. [See object definition](#recipe-objects-sub-level). E.g. A `recipeID` of `a` would be accesible through a preview URL like: `https://www.example.com/?mojito_w12=a` - -## Recipe objects sub-level - -Parameter | Description ---|-- -**css**
Type: *string*
*Optional* | CSS that is applied as soon as the subject is bucketed.
`JS format`: Expects a JS string of CSS styles.
`YAML format`: Expects a relative path to a CSS file. -**js**
Type: *function*
*Optional* | A JavaScript function that runs as soon as a subject is assigned into the test.
`JS format`: Expects a valid JavaScript function on this key.
`YAML format`: Expects a relative path to a JS file with that function. -**name**
Type: *string*
*Required* | The name of the recipe used in tracking & reporting. -**sampleRate**
Type: *number*
*Optional* | Allows users to set the proportion of traffic allocated to each recipe. This property expects a value between `0` and `1` and requires all recipes' provided sample rates to add up to `1`. - diff --git a/docs/js-delivery-utilities.md b/docs/js-delivery-utilities.md deleted file mode 100644 index 971e3f8..0000000 --- a/docs/js-delivery-utilities.md +++ /dev/null @@ -1,208 +0,0 @@ ---- -id: js-delivery-utilities -title: Utility functions in Mojito JS Delivery -sidebar_label: Utility functions ---- - -We've baked a series of utility functions into Mojito which we think are handy for a wide range of experiments. We often encounter race conditions or are waiting for an element to exist before we can do something on the page. These utilities will allow you to overcome the majority of these issues. - -## Table of contents - -- [`Mojito.utils.domReady()`](#mojitoutilsdomready) - detect when DOM Content Loaded. -- [`Mojito.utils.waitForElement()`](#mojitoutilswaitforelement) - wait for a single element to exist before performing an action. -- [`Mojito.utils.waitUntil()`](#mojitoutilswaituntil) - wait until a condition is satisfied before performing an action. -- [`Mojito.utils.observeSelector()`](#mojitoutilsobserveselector) - wait for elements to exist before performing an action. -- [`Mojito.utils.watchElement()`](#mojitoutilswatchelement) - watch for element mutations before performing an action. - -## Mojito.utils.domReady() - -### Description - -A polyfill method to detect DOM Content Loaded, inspired by https://github.com/requirejs/domReady. Often used in trigger functions to delay activation until the DOM is ready. - -### Syntax - -`Mojito.utils.domReady(callback);` - -Parameter |   ---|-- -**callback**
Type: *function*
*Required* | A function that's executed when the DOM is loaded. - -Return value |   ---|-- -Type: *function* | This function returns itself, allowing for chaining. - -### Example - -Imagine you place the Mojito library inside the page header, but you need to Manipulate the DOM further down the page, you can delay experiment activation until DOM Content Loaded has fired. - -```js -function(test){ - // If users are from Google, wait until Mojito.domReady() fires before activation - if (document.referrer.indexOf('google.com') > -1) Mojito.utils.domReady(function(){ - test.activate(); - }) -} -``` - -## Mojito.utils.waitForElement() - -### Description - -A function that executes a callback once the first selected DOM element is detected on the page. Under the hood, it's a simple wrapper of `Mojito.utils.observeSelector()`. Commonly used to wait for a specific element to exist before manipulating it or activating an experiment. - -### Syntax - -`Mojito.utils.waitForElement(selector, callback, timeout);` - -Parameter |   ---|-- -**selector**
Type: *CSS selector*
*Required* | A CSS selector specifying the DOM element to wait for. -**callback**
Type: *function*
*Required* | A function that's executed once first matched element exists. -**timeout**
Type: *integer* or *null*
*Optional* | Time in milliseconds which the function will wait for the selected element to exist. Defaults to `Mojtio.options.defaultWaitTimeout` (2000ms by default). Set to `null` for no timeout. - -Return value |   ---|-- -N/A |   - -### Example - -Let's say you are transforming many elements on a page and one of the elements is injected by another script some time after DOM Content Loaded. We can delay activation until the moment the element gets injected. - -```js -function(test){ - // Wait up to 4 seconds for an element to exist before activating experiment - Mojito.utils.waitForElement('.someDelayedElement', test.activate, 4000); -} -``` - -## Mojito.utils.waitUntil() - -### Description - -A utility that executes a callback once a polled condition function returns true. Commonly used to run functions off the back of actions or changes on a page that can be detected with JS. - -### Syntax - -`Mojito.utils.waitUntil(conditionFunction, callback, timeout);` - -Parameter |   ---|-- -**conditionFunction**
Type: *function*
*Required* | A function that returns a boolean. `true` if a condition is matched and `false` if a condition not yet matched. -**callback**
Type: *function*
*Required* | A function that's executed once **conditionFunction** returns `true` -**timeout**
Type: *integer*
*Optional* | Total time in milliseconds which the function will poll the **conditionFunction**. Defaults to `Mojtio.options.defaultWaitTimeout` (2000ms by default). Polling interval defaults to `Mojito.options.waitInterval` (50ms by default). - -Return value |   ---|-- -N/A |   - -### Example - -Imagine that your experiment leverages a JS framework, e.g. jQuery, but Mojito is loaded before the framework. Premature activation will likely result in JS errors on the jQuery calls. We can delay the experiment from activating until jQuery has been included on the page. - -```js -function(test){ - // Wait until jQuery exists on the page before activating - Mojito.utils.waitUntil(function() { - if(window.jQuery) { - return true; - } - else { - return false; - } - }, test.activate); -} -``` - -## Mojito.utils.observeSelector() - -### Description - -A wrapper of [MutationObserver](https://developer.mozilla.org/en-US/docs/Web/API/MutationObserver/observe) which is set to only observe the selected element being added to the DOM, and executing a callback once that happens. Commonly used to detect and manipulate elements that are dynamically injected independent of initial page load. - -### Syntax - -`Mojito.utils.observeSelector(selector, callback, options);` - -Parameter |   ---|-- -**selector**
Type: *CSS Selector*
*Required* | A CSS selector specifying the DOM element to observe. -**callback**
Type: *function*
*Required* | A function that's executed once the matched element is added to the page. The first argument of the function is the matched element. -**options**
Type: *object*
*Optional* | Three options can be specified:
`timeout` - Type: *integer or null* - Time in milliseconds to observe. Defaults to `null` (no timeout).
`once` - Type: *boolean* - If `true`, callback is invoked only on the first match, if `false` (default), callback is invoked on every match.
`onTimeout` - Type: *function* - Callback function if timeout is specified and no elements matched within given timeout. - -Return value |   ---|-- -N/A |   - -### Example - -Imagine you have a list of cross sell products on an ecommerce product page. You want to experiment with the styling of some of the products but its DOM elements are intermittently destroyed and created by some third party script. MutationObservers are an ideal way to deal with this scenario. - -```js -function treatment() { - function styleProduct(element) { - // do some styling to certain products - } - // observe cross sell item nodes and style - Mojtio.utils.observeSelector('#crossSellList .crossSellItem', styleProduct); -} -``` - -## Mojito.utils.watchElement() - -### Description - -A wrapper of [MutationObserver](https://developer.mozilla.org/en-US/docs/Web/API/MutationObserver/observe) which can be customised to observe specific mutations on the selected element, and executing a callback once the mutation(s) occur. Useful to detect DOM text node changes or attribute changes. - -### Syntax - -`Mojito.utils.watchElement(selectorOrElement, callback, options);` - -Parameter |   ---|-- -**selectorOrElement**
Type: *CSS Selector or DOM element*
*Required* | A CSS selector or DOM element specifying the element to watch. -**callback**
Type: *function*
*Required* | A function that's executed once the matched element changes. The first argument of the function is an array of [`MutationRecord`s](https://developer.mozilla.org/en-US/docs/Web/API/MutationRecord). -**options**
Type: *object*
*Optional* | An optional [`MutationObserverInit`](https://developer.mozilla.org/en-US/docs/Web/API/MutationObserverInit) object providing options that describe what DOM mutations should be reported. Defaults:
```{ childList: true, subtree: true, characterData: true, attributes: true }``` - -Return value |   ---|-- -N/A |   - -### Example - -A DOM element houses intrinsic data via an attribute. You want to experiment with manipulating the element based on the attribute value but it's subject to dynamic updates from a third party script. Variant code will need to be able to handle when these values change. - -```js -function treatment() { - var priceElement = document.getElementById('foo'); - - function transformElement(mutations) { - // do something to the element - } - - Mojito.utils.watchElement(element, transformElement, - { - // only watch for specific attribute changes - childList: false, - subtree: false, - characterData: false, - attributes: true, - attributeFilter: ['data-unit-price-val'] - } - ); -} -``` - -## All done? - -You may want to return to the main portion of the documentation. - - * [Back to experiment setup](js-delivery-setup.md) - * [Back to home](js-delivery-intro.md) - -## Get involved - -We'd be keen to see some PRs and your suggestions for additional functionality we can add to the Mojito utilities library! - -* [Open an issue on Github](https://github.com/mint-metrics/mojito-js-delivery/issues/new) -* [Mint Metrics' website](https://mintmetrics.io/) \ No newline at end of file diff --git a/docs/snowplow-storage-intro.md b/docs/snowplow-storage-intro.md deleted file mode 100644 index 5b1a32b..0000000 --- a/docs/snowplow-storage-intro.md +++ /dev/null @@ -1,47 +0,0 @@ ---- -id: snowplow-storage-intro -title: Mojito Snowplow Storage overview -sidebar_label: Introduction ---- - -This component allows you to collect experiment events and perform the necessary data modelling for [Mojito R Analytics](r-analytics-intro.md) reports and other tools. - -There are two parts to this component: - -1. **Events** (```./events```): Self-describing events emitted from experiments, comprised of JSON schemas and Snowplow JSON Paths / Redshift tables -2. **Data models** ```./redshift-datamodels```: SQL data models for attributing ```conversions``` back to variant ```exposures``` in reporting - - -## Prerequisites - -To make use of this out of the box, you'll need: - - - Snowplow running with Redshift as a storage target - - Snowplow's SQL Runner app - -It's possible to do this without the above, but you'll need some heavy modification. - - -## Getting started - -[Add the events to your Iglu](https://discourse.snowplowanalytics.com/t/introductory-guide-to-creating-your-own-self-describing-events-and-contexts-tutorial/1377) and [setup your data modelling steps in SQL Runner](https://github.com/snowplow/sql-runner/wiki/Guide-for-analysts): - -1. [Add JSON schema to your Iglu](https://github.com/mint-metrics/mojito-snowplow-storage/tree/master/events/jsonschema) - - This is required for event validation and shredding during enrichment -2. (Redshift only) [Put the JSON paths files in your JSON paths folder](https://github.com/mint-metrics/mojito-snowplow-storage/tree/master/events/jsonpaths) - - If running Redshift, this maps the JSON keys to your table fields -3. (Redshift only) [Create the tables in Redshift for loading shredded events](https://github.com/mint-metrics/mojito-snowplow-storage/tree/master/events/sql) - - If running Redshift, this is the table definition that shredded events will populate -4. Setup SQL Runner to load your report tables each day ([Redshift data models](snowplow-storage-data-models.md)) - - This step creates the data model used for reporting - -## Future work - -We intend to support GCP/BigQuery in the future as we need, but for now, we only support Redshift. - -## Get involved - -Let us know if you encounter any issues and reach out to us if you need a hand getting set up. - -* [Open an issue on Github](https://github.com/mint-metrics/mojito-snowplow-storage/issues/new) -* [Mint Metrics' website](https://mintmetrics.io/) diff --git a/website/blog/2019-09-25-intro-post.md b/website/blog/2019-09-25-intro-post.md index f860053..c13c451 100644 --- a/website/blog/2019-09-25-intro-post.md +++ b/website/blog/2019-09-25-intro-post.md @@ -1,18 +1,17 @@ --- title: New site for Mojito documentation author: Robert Kingston -authorURL: http://twitter.com/robkingston +authorURL: "http://twitter.com/robkingston" authorFBID: 609714465 authorTwitter: robkingston --- - We've now created a new dedicated resource for Mojito documentation and guides. This site should help new and existing Mojito users with making the most out of Mojito. We intend for this site to host resources such as: - - Getting started with Mojito - - Detailed documentation - - Mojito release announcements - - Showcasing unique usecases and the users of Mojito +- Getting started with Mojito +- Detailed documentation +- Mojito release announcements +- Showcasing unique usecases and the users of Mojito To contact us, you may like to reach out to us at [Mint Metrics](https://mintmetrics.io/contact/). You can also follow / contribute to the Mojito Documentation through [the website git repo here](https://github.com/mint-metrics/mojito-website). diff --git a/website/blog/2020-06-15-release-mojito-js-delivery.md b/website/blog/2020-06-15-release-mojito-js-delivery.md new file mode 100644 index 0000000..fc9c372 --- /dev/null +++ b/website/blog/2020-06-15-release-mojito-js-delivery.md @@ -0,0 +1,89 @@ +--- +title: "Release: Mojito JS Delivery v2.3.0" +author: Robert Kingston +authorURL: "http://twitter.com/robkingston" +authorFBID: 609714465 +authorTwitter: robkingston +--- +The focus of this release was a series of optimisations that allowed us to cut minified container weights by a huge 0.29KB for Mojito JS Delivery. Despite the large savings, we've retained the same behaviour in the library as before. + +Here's a comprehensive summary of the changes you'll find: + +truncate + +### New features + +- YAML now supports the new `private` key pair, allowing you to store private information about a test that won't be published with your container (e.g. test categorisation/tags/editor URLs/ unit testing URLs etc). We're yet to determine how this is used, so expect the key-values under `private` to change in time. +- Suggested default options for use in Shared Code, like our default exclusion rule and storage adapter ([See our recommended shared code options](https://github.com/mint-metrics/mojito-js-delivery/commit/a7b2e2f9ee002e0d297ffcdd599b0ed0f652a96d)) + +### Code quality & optimisations + +- Minified and pretty containers now publish to AWS in parallel, speeding up publish times by 40% +- Streamline the `Test` constructor function, roughly cutting it in half whilst maintaining the same behaviour +- Remove Mojito's `Utils.keys()` function and instead use the native `Object.keys()` function +- Remove `Utils.arrayIndexOf()` function and replace with the native `.indexOf()` prototype +- Modernise `Utils.domReady()` and drop support for old versions of IE +- Clean-up the library's default options & centralise all the options in one variable at the top of the library (`defaultOptions`) +- Partial library lint, to bring the core library in line with our ES Lint rules +- Bumping the libraries and dependencies + +Check out [the release over on GitHub](https://github.com/mint-metrics/mojito-js-delivery/releases). + +## YAML private key + +Anything specified under `private` for a test's `config.yml` will not be published in your container. E.g.: + +```yml + +state: staging +sampleRate: 0 +id: w1 +name: w1 some test +private: + previewUrl: https://mojito.mx/ +recipes: + '0': + name: Control + '1': + name: Treatment +trigger: trigger.js + +``` + +This will translate to the following JS (notice how "private" is missing from the test object below?): + +```js + +Mojito.addTest({ + "state": "staging", + "sampleRate": 0, + "id": "w1", + "name": "w1 some test", + "recipes": { + "0": { + "name": "Control" + }, + "1": { + "name": "Treatment" + } + }, + "trigger": function trigger(test) { + Mojito.utils.domReady(test.activate); + } +}); + +``` + +We expect this private key will be home to: + +- Test taxonomies, like tags or other categorisations +- Editor / Preview / Unit testing URLs +- Experiment notes or even results +- Links to other related test data / assets +- Build dependencies (e.g. hardcoding a remote JSON into the test build) + +While none of this has been planned, we look forward to fleshing this out with our clients and the community. + +## Next release + +For the next release, we'll look to further improve build/publish times and perhaps even introduce our new MD5 decisionAdapter as the default decisionAdapter. If there's anything you'd like to see in the library, let us know by opening an issue. diff --git a/website/core/Footer.js b/website/core/Footer.js deleted file mode 100755 index d79b693..0000000 --- a/website/core/Footer.js +++ /dev/null @@ -1,100 +0,0 @@ -/** - * Copyright (c) 2017-present, Facebook, Inc. - * - * This source code is licensed under the MIT license found in the - * LICENSE file in the root directory of this source tree. - */ - -const React = require('react'); - -class Footer extends React.Component { - docUrl(doc, language) { - const baseUrl = this.props.config.baseUrl; - const docsUrl = this.props.config.docsUrl; - const docsPart = `${docsUrl ? `${docsUrl}/` : ''}`; - const langPart = `${language ? `${language}/` : ''}`; - return `${baseUrl}${docsPart}${langPart}${doc}`; - } - - pageUrl(doc, language) { - const baseUrl = this.props.config.baseUrl; - return baseUrl + (language ? `${language}/` : '') + doc; - } - - render() { - return ( - - ); - } -} - -module.exports = Footer; diff --git a/docs/api-intro.md b/website/docs/api-intro.md similarity index 50% rename from docs/api-intro.md rename to website/docs/api-intro.md index 8484f04..a35f229 100644 --- a/docs/api-intro.md +++ b/website/docs/api-intro.md @@ -2,14 +2,11 @@ id: api-intro title: Mojito libraries API references --- - This section is intended as an API reference for each of the Mojito components: -1. **Delivery** - - Mojito JS Delivery -2. **Storage** - - Mojito Snowplow Storage -3. **Analytics** - - Mojito R Analytics - - +1. **Delivery** + - Mojito JS Delivery +2. **Storage** + - Mojito Snowplow Storage +3. **Analytics** + - Mojito R Analytics diff --git a/website/docs/example-hash-function-split-test-assignment.md b/website/docs/example-hash-function-split-test-assignment.md new file mode 100644 index 0000000..806227e --- /dev/null +++ b/website/docs/example-hash-function-split-test-assignment.md @@ -0,0 +1,117 @@ +--- +id: example-hash-function-split-test-assignment +title: How to use hash functions for split test assignment +sidebar_label: Bucketing users with hash functions +--- +Hash-based user assignment brings experimenters many benefits in running split tests. It's used extensively [in the industry](https://ai.stanford.edu/~ronnyk/2007GuideControlledExperiments.pdf) (section 4.1.2, page 6), at companies like [LinkedIn, Google, Microsoft and many others](https://content.linkedin.com/content/dam/engineering/site-assets/pdfs/ABTestingSocialNetwork_share.pdf). Compared to the ephemeral random numbers generated from PRNGs, hash-based decisioning gives you far greater control: + +- Consistent assignment across devices & platforms +- Retroactively "track" users assigned/excluded but not tracked +- Exclude users who may have been exposed during your canary release (aka. [partitioned ramps](example-js-delivery-partitioned-ramps)) +- The ability to "back-test" your assignment before launching (e.g. see which treatment groups the last 30 days' users would have seen) + +![Hash-based assignment lets you reliably assign a user to the same treatment across platforms](/img/examples/hash-based-assignment-outcome.png) + +As long as you have a consistent user ID across platforms, users will be bucketed the same way everywhere. + +You'll be amazed how simple this is. + +## How it works + +In Mojito, we turn a hash function's digest into a PRNG by: + +1. Calculating the hash digest of the `user ID` + `test salt` +2. Converting the resulting hex digest into an integer & dividing by the largest number in the space for a decision between `0` and `1` +3. Applying the resulting decisions to the user being bucketed `decision < 0.5 ? control() : treatment()` + +The meta discussion around `cryptographic hash functions === PRNGs` is beyond the scope of this article, but there's a lot of discussion in the literature about why this works. And there's also some approachable Stack Overflow posts that make the case for Hash-based PRNGs. + +Also, it's worth noting some tools calculate the modulo of the hex digests' integer. However due to our variable recipe sample rates, we need to supply a value between 0 and 1. + +### Hash functions + +If you're unfamiliar with hash functions, like MD5/SHA256 etc, their purpose is to distill your input data down to a fixed-length hexadecimal string. It works like this: + +![Examples of how hash functions are used in A/B split testing](/img/examples/hash-based-assignment-split-testing.png) +Image credit: [David Göthberg, Sweden / Wikipedia](https://simple.wikipedia.org/wiki/Hash_function). + +And luckily for us, the hexadecimal output can be parsed into numbers we can use for bucketing/assignment. + +## Using hashes as your PRNG in Mojito + +Using a user/cookie ID and Mojito's `decisionAdapter`, we can control how users are bucketed. We'll take the `user`/`cookie ID` and send it through a hashing function to deterministically generate a really solid random numbers between 0 and 1: + +### 1. Hash the user's ID & the experiment's salt + +Each time you generate a hash from a seed, you'll get the same result. For our purposes we use MD5 as the hashing function because [its properties make it well-suited to a split testing](https://ai.stanford.edu/~ronnyk/2007GuideControlledExperiments.pdf). + +```js + +var userId = '1234567'; +var testSalt = 'ex3'; +var seed = userId + testSalt; +// result: '1234567ex3' + +var md5Hash = Mojito.utils.md5('1234567ex3'); +// result: '404c9f9d26876611359c2a6472012d53' + +``` + +### 2. Generate the decisions for an experiment + +We can derive psuedorandom numbers from the hexadecimal values of the hash digest `404c9f9d26876611359c2a6472012d53`, like so: + +```js + +parseInt('404c9f9d', 16); +// result: 1078763421 (0x404c9f9d) + +parseInt('404c9f9d', 16) / 0xffffffff; +// result: 0.25116918172016023 + +``` + +For each test, we need to make 2-3 decisions. And each decision uses a quarter of the hash digest: + +1. Test sample rate: `0x404c9f9d / 0xffffffff` -> `0.25116918172016023` +2. Recipe assignment: `0x26876611 / 0xffffffff` -> `0.15050352019036736` + +Each 'decision' is capable of producing over 4 billion values - more than enough granularity for our purposes (it's probably overkill). More 'secure' hash functions exist, but we only need speed & reliability. We picked it because MSFT/LinkedIn et al use it, MD5 digests are pervasive across DBs/languages, and from our testing at Mint Metrics, it produces nice flat & even distributions: + +![Histogram of A/B test decisions generated from an MD5 hashing function](/img/examples/hash-based-assignment-histogram.png) + +### 3. Use the 'decisions' in your assignment + +Consider the following experiment: + +```yml + +state: live +sampleRate: 0.5 +id: ex3 +name: Homepage button +recipes: + '0': + name: Control + sampleRate: 0.1 + '1': + name: Treatment + sampleRate: 0.9 +trigger: trigger.js + +``` + +And taking the example decisions from the user above, we know the decisions they will get: + +- Test sample rate: `0.251... < 0.5` -> Included in test +- Recipe assignment: `0.15... > 0.1` -> Assigned to `Treatment` + +No matter when/where this user is bucketed (e.g. app/web/server) they will **always** get the same decisions because of their user ID. + +## Apply it in Mojito + +Hopefully, this gets you excited about using hash functions in your split tests. + +Mojito users can swap out our default `decisionAdapater` with their own hashing functions and logic. Don't like `MD5`? Go with `SHA-256`! Prefer adding more salt? It's up to you. + +See the [API reference for the decision adapter](js-delivery-api-decision-adapter) for more details and to implement your own. diff --git a/website/docs/example-home.md b/website/docs/example-home.md new file mode 100644 index 0000000..decc665 --- /dev/null +++ b/website/docs/example-home.md @@ -0,0 +1,8 @@ +--- +id: example-home +title: Example experiments, reports & recipes to get started +sidebar_label: Overview +--- +Mojito makes it easy to build sophisticated experiments and insightful reports. While our API documentation may be fairly complete, examples are a useful way to tie it all together. + +This section shows practical examples of setting up commonly-used experment features. diff --git a/website/docs/example-js-delivery-aa.md b/website/docs/example-js-delivery-aa.md new file mode 100644 index 0000000..226721a --- /dev/null +++ b/website/docs/example-js-delivery-aa.md @@ -0,0 +1,86 @@ +--- +id: example-js-delivery-aa +title: Run an AA test in Mojito +sidebar_label: Run an AA test +--- +An AA test runs identical variants against each other so experimenters may detect issues with sample ratio mismatch (SRM), other non-random differences between the groups or general instrumention issues. + +While it's uncommon to detect issues outside of Type-1 and Type-2 errors it's [generally a good practice to run AA tests](https://cxl.com/blog/aa-testing-waste-time/). Running an AA test helps establish trust in your instrumention and decisioning. We have found AA tests most useful when implementing custom `decisionAdapter` functions in Mojito. + +A typical AA test will have two groups: + +- Control group: No change +- Treatment group: No change + +> **Pre-requisites**: +> You're [familiar with creating a simple experiment](example-js-delivery-simple-ab) in Mojito. + +## Experiment parameters + +| Parameter | Details | +| ---------------- | --------------------------- | +| Targeting | All pages | +| Traffic / Sample | 100% | +| Variants | Control: 50%, Treatment 50% | + +## 1. Create the test + +Mojito lets you create AA test through the CLI, through its dedicated `--aa` flag: + +```sh + +gulp new --aa aa1 + +``` + +Of course, the AA flag does not generate special experiment configuration - just an empty scaffold for you to define your AA test within. + +The command will output all your experiment config under `lib/waves/aa1` (where `aa1` can be replaced by the parameter you pass into the generator command above): + +- `config.yml`: The experiment configuration YAML +- `trigger.js`: The conditional activation trigger + +## 2. Configure your experiment + +Let's give the experiment a proper name and set its traffic allocation to 100% of traffic: + +- `name`: `AA test 1` +- `sampleRate`: `1` + +As usual, traffic will be evenly distributed amongst recipes (50-50, in this case) - so we don't need to set the `sampleRate` parameter for each recipe in this instance. + +Your experiment config should now look like this: + +```yml + +state: staging +sampleRate: 1 +id: aa1 +name: AA test 1 +recipes: + '0': + name: Control + '1': + name: Treatment +trigger: trigger.js + +``` + +## 3. Launch the test & publish your container + +You've created an AA test, now let's send it live and publish it to your site: + +```sh + +# Set the test live +gulp set --live aa1 + +# Build your container file +gulp build + +# (If you'e set up S3 publishing) Publish the container to AWS S3 +gulp publish + +``` + +Your experiment will start as soon as users start downloading your Mojito container. diff --git a/website/docs/example-js-delivery-cross-trigger.md b/website/docs/example-js-delivery-cross-trigger.md new file mode 100644 index 0000000..bd50884 --- /dev/null +++ b/website/docs/example-js-delivery-cross-trigger.md @@ -0,0 +1,208 @@ +--- +id: example-js-delivery-cross-trigger +title: "Triggering experiments remotely from other A/B tests or code" +sidebar_label: Remotely triggered experiments +--- +There may come a time where you need to trigger an experiment remotely. Mojito lets you trigger experiments from outside the test object. + +![Cross-experiment triggers](/img/examples/js-delivery-cross-trigger.png) + + + +Imagine we're working at Booking.com and we want to increase bookings for "Holiday Rentals". One idea might be to show offer banners in SERPs + +> **Pre-requisites** +> You're familiar with [creating a simple A/B test](example-js-delivery-simple-ab). + +## Experiment parameters + +### Test 1 + +| Parameter | Details | +| ---------------- | -------------------------------------------------------------------------------- | +| Hypothesis | Showing a holiday rentals banner to users will increase holiday rental bookings. | +| Targeting | SERPs | +| Traffic / Sample | 100% | +| Variants | Control: 50%, Treatment 50% | + +#### Control + +No offer banner. + +#### Treatment + +Show the offer banner. + +![A/B split test 1: Treatment](/img/examples/js-delivery-cross-trigger-control.png) + +### Test 2 + +| Parameter | Details | +| ---------------- | ----------------------------------------------------------------------------------------------------------------- | +| Hypothesis | Highlighting the money-saving benefits of holiday rentals in offer banners will increase holiday rental bookings. | +| Targeting | SERPs **with Test 1 active** | +| Traffic / Sample | 100% | +| Variants | Control: 50%, Treatment 50% | + +#### Control + +Standard copy. + +![A/B split test 2: Control](/img/examples/js-delivery-cross-trigger-control.png) + +#### Treatment + +Money-saving benefits-led copy. + +![A/B split test 2: Treatment](/img/examples/js-delivery-cross-trigger-treatment.png) + +## 1. Create your experiments + +Using the command line, let's scaffold everything we need for the two experiments: + +```sh + +gulp new --ab ex1 && gulp new --ab ex2 + +``` + +## 2. Setup your first experiment: EX1 + +We'll configure the first experiment like so: + +config.yml + +```yml + +state: staging +sampleRate: 0 +id: ex1 +name: EX1 Booking.com Holiday Rentals SERP offer +recipes: + '0': + name: Control + css: 0.css # We need to hide the banner using CSS on the Control group + '1': + name: Treatment + js: 1.js # This JS in the treatment group will enable the EX2 test +trigger: trigger.js + +``` + +trigger.js + +```js + +function trigger (test) { + // We can activate straight away on this page because we're only injecting + // - CSS to Hide the banner for the Control Group + // - JS to listen for the element to Enable EX2 in the Treatment group + if (document.location.pathname === '/searchresults.en-gb.html') test.activate(); +} + +``` + +0.css + +```css + +/* This will hide the banner on Booking.com's SERP for the Control group */ +div[data-pers-banner-id="3"] { + display: none; +} + +``` + +1.js + +```js + +function treatment () { + // Make sure EX2 is available first + Mojito.utils.waitUntil(function () { + return typeof Mojito.testObjects.ex2 !== 'undefined'; + }, function () { + // Then wait for the offer banner to show up in the DOM + Mojito.utils.waitForElement('div[data-pers-banner-id="3"]', function () { + // When the banner is available, it's time to get the dependent EX2 test and activate it + Mojito.testObjects.ex2.activate(); + }); + }); +} + +``` + +Notice how in `1.js`, we call for `Mojito.testObjects.ex2`? From here, we can access any variable on the `EX2` test object - including it's `activate()` function! + +As long as we know it's the right time to activate the experiment, it's ready to call the test's `activate()` function. You may like to use some defensive checks to ensure the test object and everything else is ready. + +## 3. Configure the second experiment: EX2 + +EX1 will be calling this experiment. Let's configure it like so: + +config.yml + +```yml + +state: staging +sampleRate: 0 +id: ex2 +name: EX2 Booking.com Holiday Rentals SERP offer copy +recipes: + '0': + name: Control + '1': + name: Treatment + js: 1.js +trigger: trigger.js + +``` + +trigger.js + +```js + +function trigger () { + // We can leave this function empty since we'll be activating it externally +} + +``` + +1.js + +```js + +function treatment () { + // We'll now change the copy inside the banner + var content = document.querySelector('div[data-pers-banner-id="3"]'); + content.querySelector('.bui-banner__title').innerText = 'Save money by booking holiday rentals'; + content.querySelector('.bui-button__text').innerText = 'See holiday rental deals'; +} + +``` + +In this experiment, we can use an empty trigger function because we call the test's `activate()` function from `EX1`. + +## 4. Previewing the experiments + +By now, your experiments are ready to build and preview. Give it a: + +```sh + +gulp build && gulp publish + +``` + +> Note: +> Unless you're reading this at Booking.com, you probably don't have publish access to their domains. Instead, we can paste the minified Mojito container code into the Browser console to see that everything works. + +Since we'll be testing on Booking.com's SERP, we need to tag the URL with Mojito preview parameters for: + +- EX1: `mojito_ex1=1` +- EX2: `mojito_ex2=1` + +**This URL:** `https://www.booking.com/searchresults.en-gb.html?mojito_ex1=1&mojito_ex2=1&label=gen173nr-1FCAEoggI46AdIM1gEaA-IAQGYAQm4AQfIAQzYAQHoAQH4AQuIAgGoAgO4Ao3FvfMFwAIB&lang=en-gb&sid=18b02e01ff9c6991030b57e85fc31cfa&sb=1&sb_lp=1&src=index&src_elem=&ssne=Auckland&ssne_untouched=Auckland&dest_id=-1506909&dest_type=city&checkin_year=2020&checkin_month=4&checkin_monthday=8&checkout_year=2020&checkout_month=4&checkout_monthday=11&group_adults=2&group_children=0&no_rooms=1&b_h4u_keep_filters=&from_sf=1` + +**Becomes this:** `https://www.booking.com/searchresults.en-gb.html?label=gen173nr-1FCAEoggI46AdIM1gEaA-IAQGYAQm4AQfIAQzYAQHoAQH4AQuIAgGoAgO4Ao3FvfMFwAIB&lang=en-gb&sid=18b02e01ff9c6991030b57e85fc31cfa&sb=1&sb_lp=1&src=index&src_elem=&ssne=Auckland&ssne_untouched=Auckland&dest_id=-1506909&dest_type=city&checkin_year=2020&checkin_month=4&checkin_monthday=8&checkout_year=2020&checkout_month=4&checkout_monthday=11&group_adults=2&group_children=0&no_rooms=1&b_h4u_keep_filters=&from_sf=1`**`&mojito_ex1=1&mojito_ex2=1`** + +This forces you into the treatment of both experiments. diff --git a/website/docs/example-js-delivery-divert.md b/website/docs/example-js-delivery-divert.md new file mode 100644 index 0000000..ca1ef54 --- /dev/null +++ b/website/docs/example-js-delivery-divert.md @@ -0,0 +1,118 @@ +--- +id: example-js-delivery-divert +title: Divert all traffic to the winning variant in Mojito +sidebar_label: Divert traffic to a winning variant +--- +When an experiment you run is wildly successful, you may want to send 100% of eligible traffic to the variant after completion. Usually we [recommend hard-coding successful recipes](#why-you-should-prefer-to-hard-code-your-winning-variants-over-using-divert), but when developer resources are scarce and the feature is delivering lots of value, you can use Mojito to divert traffic to the winner temporarily. + +![Publish a variant to all traffic](/img/examples/js-delivery-divert.png) + + + +Consider the following circumstances: + +- You ran an experiment that increased sales by a large amount and it's time to switch the experiment off +- The business requires the new feature to be implemented but can't spare the development resources (yet) +- The business wants to run a follow-up experiment further refining the variants, and has not settled on an execution for production + +These scenarios may call for temporary hosting via Mojito. + +## 1. Your experiment whilst live + +Consider the winning recipe was the `Green` button for the following experiment. + +It's live and distributing all traffic, evenly (`33.3`/`33.3`/`33.3`), amongst three recipes: + +```yml + +id: ex4 +name: Button colours +state: live +sampleRate: 1 +recipes: + '0': + name: Red + '1': + name: Green + css: green.css + '2': + name: Blue + css: blue.css +trigger: trigger.js + +``` + +And after running the experiment, it's wildly successful and you're instructed to urgently roll out the feature... + +## 2. Stop the experiment & divert all traffic to the winning variant + +Stopping and diverting traffic just needs the `divertTo` flag in the experiment. + +Simply add the `divertTo` with the winning recipe `id`. Since `Green` won, we send all traffic to the `Green` variant (recipe ID `1`), like so: + +```yml + +id: ex4 +name: Button colours +state: live +sampleRate: 1 +divertTo: '1' +recipes: + '0': + name: Red + '1': + name: Green + css: green.css + '2': + name: Blue + css: blue.css +trigger: trigger.js + +``` + +Mojito's `divertTo` flag is a special flag for full featue roll outs. It enables: + +1. Bypassing a user's prior bucketing (users who would have seen `Red` or `Blue` buttons before, will now see `Green` when divert is enabled) - This is intended to maximise the value of your feature +2. Prevents exposure tracking from firing during `divert` mode - So your experiment results won't be invalidated through SRM failure + +This allows you to expose as many users as possible to your feature without impacting your experiment results. + +## Why not divert traffic by changing the recipe sample rates? + +You may feel another approah would be set the recipe `sampleRate` variables. But we **don't recommend** this: + +```yml + +id: ex4 +name: Button colours +state: live +sampleRate: 1 +recipes: + '0': + name: Red + sampleRate: 0 + '1': + name: Green + css: green.css + sampleRate: 1 + '2': + name: Blue + css: blue.css + sampleRate: 0 +trigger: trigger.js + +``` + +Users who had previously been exposed to `Red` or `Blue` variants before you changed the `sampleRate` properties, will continue to see `Red` or `Blue`. Mojito persists the variants you were originally exposed to. This is by design, since most experiments assign treatments to user-level units. + +Just changing the sample rates won't stop the tracking from firing. Therfore, through this approach, you may trigger an SRM failure in your reports. + +## Why you should prefer to hard-code your winning variants over using divert + +Keep in mind, that when diverting experiments to 100% of traffic, they may: + +- Impact your site performance unecessarily (as each experiment takes up space in your container) +- Make it harder to reason about what content is from the CMS / Mojito +- When using [`Mojito.options.exclude`, not all traffic will see your variants](js-delivery-customisation#default-exclusion-rule) + +Ultimately, it's up to you to decide when and where to use this feature. diff --git a/website/docs/example-js-delivery-partitioned-ramps.md b/website/docs/example-js-delivery-partitioned-ramps.md new file mode 100644 index 0000000..b5f21b1 --- /dev/null +++ b/website/docs/example-js-delivery-partitioned-ramps.md @@ -0,0 +1,136 @@ +--- +id: example-js-delivery-partitioned-ramps +title: Containing ramp spillover with partitioned ramps & hash based splits +sidebar_label: Partitioned ramps & spillover protection +--- +Ramping-up experiments (from limited canary releases) is a popular way of managing risks and bugs in experiments before exposing all your traffic. A typical ramp-up process looks like this: + +1. Launch an experiment to 10% of traffic +2. Check your guard rail metrics & for any errors from your experiment +3. If everything looks good, you can usually: + - `A`) Ramp-up the existing experiment to 100% traffic without re-assigning users + - `B`) Restart & re-assign users in the experiment at 100% traffic + +Choosing option `A`, and ramping from 10%->100%, can [impact your split test results through Simpson's Paradox (see Section #6)](http://ai.stanford.edu/people/ronnyk/2009-ExPpitfalls.pdf). Meanwhile option `B` - restarting the experiment and re-assigning subjects - can cause spillover where users in the `Control` group are exposed to the intervention in the `Treatment` group and vice versa. Option `B` dilutes the results of your experiment and can mute the effect you hope to measure. + +Restarting without acknowledging the prior run, means you'll treat all users as part of the same population to draw from: + +![Spillover dilutes the effect of your treatment group's intervention on users](/img/examples/js-delivery-spillover-problem.png) + +Users from the initial 10% run _will_ be randomly assigned to your new 100% run, but those users who swapped variants between runs may dilute your results. It's important because the 10% of users who get reassigned skew toward your most loyal, frequent users. + +## Option: `C` Partitioned ramps + +[Lukas Vermeer, director of Experimentation at Booking.com](https://www.lukasvermeer.nl/) advocates a third and perhaps superior way to ramp experiments. Users assigned during the initial 10% run, can be excluded during the ramped-up run. It only costs a small amount of statistical power. + +![Spillover dilutes the effect of your treatment group's intervention on users](/img/examples/js-delivery-spillover-protection.png) + +In this case, none of the users in the 10% run will be included within the 100% ramp. + +> **Prerequisites**: +> You roughly understand [how hash-based user assignment in split tests](example-hash-function-split-test-assignment) work. + +### 1. Before the experiment + +Define a custom `decisionAdapter` inside your shared code - it needs to: + +1. Hash a user ID defined at `Mojito.options.userId` +2. Recognise & apply the `excludeSampleRate` parameter during the test sample rate decision (when `test.options.decisionIdx === 1`) + +Here's what we recommend: + +```js + +// Fetch or generate a user ID for use in your test bucketing decisions +Mojito.options.userId = Mojito.utils.getMojitoUserId(); + +// Override the default decision adapter with this custom one +Mojito.options.decisionAdapter = function (test) { + // Calculate decision from userId MD5 digest + test.options.digest = test.options.digest || Mojito.utils.md5(Mojito.options.userId + test.options.id); + var startPos = test.options.decisionIdx * 8, + endPos = startPos + 8, + digest = test.options.digest, + decision = parseInt(digest.substring(startPos, endPos), 16) / 0xFFFFFFFF; + + // Partitioned ramps - By Lukas Vermeer https://lukasvermeer.nl/ + // Exclude users below a test's excludeSampleRate threshold to avoid spillover between ramps + if (test.options.decisionIdx === 0 && test.options.excludeSampleRate && decision < test.options.excludeSampleRate) { + return 2; + } + + return decision; +}; + +``` + +### 2. Canary release to 10% + +When you launch your experiment, you'll need to set it live for: + +1. Set the sample to 10%: `sampleRate: 0.1` +2. Disable cookies for your test's state (i.e. Generate a decision from your userId every time the test activates): `options.cookieDuration: -1` + +Your experiment YAML might resemble this: + +```yml + +state: live +id: ex3 +name: Homepage button +recipes: + '0': + name: Control + '1': + name: Treatment + css: 1.css +trigger: trigger.js + +# 1. Canary release parameters: 10% sample rate, disable cookies +sampleRate: 0.1 +options: + cookieDuration: -1 + +# 2. Ramp-up parameters: 100% sample rate, initial 10% excluded, cookies re-enabled (optional) +#sampleRate: 1 +#excludeSampleRate: 0.1 + +``` + +### 3. 100% ramp-up + +When it comes time to ramp up, you'll need to: + +1. Set the sample rate to 100% (effectively 90%): `sampleRate: 1` +2. Exclude the first 10% of users: `excludeSampleRate: 0.1` +3. (Optional) Re-enable cookies, by removing the `options.cookieDuration: -1` parameter + +```yml + +state: live +id: ex3 +name: Homepage button +recipes: + '0': + name: Control + '1': + name: Treatment + css: 1.css +trigger: trigger.js + +# 1. Canary release parameters: 10% sample rate, disable cookies +#sampleRate: 0.1 +#options: +# cookieDuration: -1 + +# 2. Ramp-up parameters: 100% sample rate, initial 10% excluded, cookies re-enabled (optional) +sampleRate: 1 +excludeSampleRate: 0.1 + +``` + +## Wrapping up + +Those are some options for managing split test ramping. Each have their trade-offs, and in an ideal world, you would launch every experiment to 100% of traffic - and use Real-time data to decide whether to pull them or not. + +Short of living in an ideal world, you have Mojito, which provides you with the control you need to manage your assignment around these risks. diff --git a/website/docs/example-js-delivery-requestly-staging.md b/website/docs/example-js-delivery-requestly-staging.md new file mode 100644 index 0000000..0a6f3bf --- /dev/null +++ b/website/docs/example-js-delivery-requestly-staging.md @@ -0,0 +1,80 @@ +--- +id: example-js-delivery-requestly-staging +title: "Create & access your staging environment for A/B test QA with Requestly" +sidebar_label: Setup a Mojito staging environment +--- +Building experiments requires publishing experimental code to your website. In order to protect your mission-critical apps, it's recommended you publish and test code in a `STAGING` environment before you publish it into `PRODUCTION`. Doing so lets you catch heinous bugs before your users may encounter them. + +Here you can see an example of us testing some tracking updates in `STAGING` before merging into master and rolling them out to `PRODUCTION`: + +![Example environemnts in Bitbucket](/img/examples/js-delivery-requestly-environments.png) + +> **Pre-requisites**: +> +> 1. You know how to [create a simple experiment](example-js-delivery-simple-ab) in Mojito. +> 2. You're hoting Mojito JS Delivery [using AWS S3](js-delivery-hosting) or some other hosting mechanism in Mojito. + +## The two environments + +Mojito supports two environments you can publish to: + +| Environment | Use-case | +| ------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| `STAGING` | Used for testing of code during the development & QA process. Publish access is typically open to many users and the `development` git branch publishes here as soon as commits are made to that branch. | +| `PRODUCTION` | After experiments have been QA'd and cleared for launch, they're ready for the `PRODUCTION` environment. Typically, only users with permission to publish to production should have access to this environment. We typically let `master` git branches publish here as part of our CI pipelines. | + +Making full use of these two environments should allow you to safely deploy experiments to your users. Typically, you just need to swap the `PRODUCTION` container URL for the `STAGING` container URL for running experiments. + +## 1. Find/configure your staging environment + +Inside your Mojito JS Delivery repo, the container paths and names that you specify in your `./config.js`, control where your Mojito containers are published: + +```js + +module.exports = { + // Name of the container file excluding the file extension (e.g. "name" yields "name.js" when published) + containerName: 'mintmetrics', + // Development S3 container + s3BucketDev: 'mojito-js/jsdev', + // Production S3 container + s3BucketPRD: 'mojito-js/js', + // S3 Region + s3Region: 'ap-southeast-2' +}; + +``` + +The above example allows us to use distinct URLs or S3 buckets for each environment: + +- `STAGING`: `https://s3.amazonaws.com/mojito-js/jsdev/mintmetrics.pretty.js` (Note the **jsdev/** directory as per the config's value? Also note the **.pretty** suffix?) +- `PRODUCTION`: `https://s3.amazonaws.com/mojito-js/js/mintmetrics.js` (Likely Cloudfront though) + +### What are ".pretty" containers? + +Mojito publishes an unminified container (the ".pretty" version) and a fully minified default container. You may find it easier to debug experiments in an unminified state. + +### Using S3 or Cloudfront URLs + +In production, you will likely use Cloudfront URLs for the fastest delivery. But in staging we recommend using the S3 URL so your browser always loads the freshest version of your container. + +## 2. Setup Requestly + +1. Install the [Chrome Requestly extension](https://chrome.google.com/webstore/detail/requestly-redirect-url-mo/mdnleldcmiljblolnjhpnblkcekpdkpa?hl=en) + +2. Open Requestly & add a new rule of type, "Redirect Request" + +Requestly Rule type + +3. Add a `Name`, `Description` and configure request redirect rule, like so: + +![How to set up a Requestly redirect rule](/img/examples/js-delivery-requestly-rule.png) + +4. Hit `Save` and you're ready to test your Mojito staging code over the top of your production site. + +### Pro tips + +1. Mark the rule as a favourite, so you can readily access staging environments from whichever page you're on: + +Requestly Chrome toggle + +2. You can setup additional rules in Requestly to switch between **Staging/Pretty**, **Staging/Minified** and **Production/Minified** for full QA glory. diff --git a/website/docs/example-js-delivery-simple-ab.md b/website/docs/example-js-delivery-simple-ab.md new file mode 100644 index 0000000..4e5ddfa --- /dev/null +++ b/website/docs/example-js-delivery-simple-ab.md @@ -0,0 +1,189 @@ +--- +id: example-js-delivery-simple-ab +title: "Build a simple A/B test in Mojito" +sidebar_label: "A simple A/B test" +--- +Let's imagine we're working for Bing and we want to test showing no image on the homepage to 50% of users. What's needed is a simple A/B test. + +![How an A/B test is structured](/img/examples/js-delivery-simple-ab.png) + + + +> **Pre-requisites** +> 1) You've [cloned Mojito JS Delivery locally](https://github.com/mint-metrics/mojito-js-delivery), with npm, Node and Gulp installed. +> 2) You've setup [tracking through your storageAdapter, or used our example one](/docs/js-delivery-api-storage-adapter#example-storage-adapter--test-object-override). + +## Experiment parameters + +| Parameter | Details | +| ---------------- | -------------------------------------------------------------------------------- | +| Hypothesis | Defaulting the homepage to `no_image` will increase the rate of searches. | +| Targeting | All homepage users | +| Traffic / Sample | 100% | +| Variants | Control: 50%, Treatment 50% | + +### Control + +Show the Bing homepage with images. + +![Control](/img/examples/js-delivery-simple-ab-control.jpg) + +### Treatment + +Disable the homepage image. + +![Treatment](/img/examples/js-delivery-simple-ab-treatment.png) + +## 1. Create a new test + +Start by creating your test's scaffolding. You can do this on the command line, like so: + +```sh + +gulp new --ab ex1 + +``` + +The command will output all your experiment files under `lib/waves/ex1` (where `ex1` can be replaced by the parameter you pass into the generator command above): + +- `config.yml`: The experiment configuration YAML - where you define your experiment's parameters. +- `1.js`: Recipe #1's variant code - the JS responsible for changing the look and feel of the treatment page. +- `trigger.js`: The activation trigger function - which dictates when your experiment will run. + +## 2. Set your experiment parameters + +Let's give the experiment a proper name and set its traffic allocation to 100% of traffic. Note: Your experiment will not accept traffic until you change the state from `staging` to `live` (we'll do that later): + +- `name`: `Bing Homepage without image` +- `sampleRate`: `1` +- Recipe `1`: `Treatment (no image)` + +By default, traffic to recipes will be evenly defined amongst them - so we don't need to set the `sampleRate` parameter for each recipe. Refer to the API reference for more details about the parameters. + +Your experiment config should now look like this: + +```yml + +state: staging +sampleRate: 1 +id: ex1 +name: Bing Homepage without image +recipes: + '0': + name: Control + '1': + name: Treatment (no image) + js: 1.js +trigger: trigger.js + +``` + +## 3. Write your variant code function + +Bing makes it easy to switch images off on its home page. We only need to apply the `no_image` CSS class to the `div.hp_body` element: + +![How to transform the Bing Homepage so it shows no background image.](/img/examples/js-delivery-simple-ab-dom.png) + +This is quite easy to do in JavaScript. We just need to change our Treatment recipe's code in `1.js`, like so: + +```js + +function js () { + var elem = document.querySelector('div.hp_body'); + if (elem) elem.classList.add('no_image'); +} + +``` + +> Note: The classList API is not supported well by older browsers, so you may need to create a [default exclusion rule](js-delivery-customisation#default-exclusion-rule) in your container `shared-code.js`. + +## 4. Define your trigger properly + +Your experiment will currently activate on all pages when `DOMContentLoaded` fires. + +```js + +function trigger(test) { + Mojito.utils.domReady(test.activate); +} + +``` + +Recall that we want to run this experiment only on the home page (`/`). We just need to add an `if` statement for conditional activation: + +```js + +// A good way to activate +function trigger(test) { + if (document.location.pathname === '/') Mojito.utils.domReady(test.activate); +} + +``` + +Even better, we can activate the experiment as soon as the background element is ready in the DOM. Simple replace `Mojito.utils.domReady` with `Mojito.utils.waitForElement`, so we can wait until `div.hp_body` is available: + +```js + +// A better way to activate +function trigger(test) { + if (document.location.pathname === '/') Mojito.utils.waitForElement('div.hp_body', test.activate); +} + +``` + +Mutation observers are a great way to activate an experiment that treads between flicker (or FOOC) and race conditions (where you might attempt to interact with an element before it's loaded). Also, if there happens to be a version of the home page without the `div.hp_body` element, your experiment won't activate. + +## 5. Build, test & publish your container + +Congratulations! Your experiment is now set up. It's ready to build and publish to staging, so you may QA it: + +```sh + +# Build your container file +gulp build + +# (If you'e set up S3 publishing) Publish the container to AWS S3 +gulp publish + +``` + +### Preview your experiment + +> **NB**: You must have Mojito installed on the page or [use a Chrome Extension like Requestly to inject Mojito](example-js-delivery-requestly-staging) into the page for testing. + +1. Browse to [www.bing.com](https://www.bing.com/). + +2. Using the [Mojito Chrome Inspector](https://chrome.google.com/webstore/detail/mojito-chrome-inspector/pogeofjajfmbkkbkpddgjfnadkajidpl), open dev tools, browse to the `Mojito` tab and force your new experiment to the treatment. + +![Preview your split test variant in Mojito Chrome Inspector](/img/examples/js-delivery-simple-ab-preview.png) + +3. Refresh the page, your treatment will be enabled. + +## 6. Launch your experiment + +When you've tested it's working, you can launch it by setting its `state` to `live`, and buildin/publishing the container: + +```yml + +state: live +sampleRate: 1 +id: ex1 +name: Bing Homepage without image +recipes: + '0': + name: Control + '1': + name: Treatment (no image) + js: 1.js +trigger: trigger.js + +``` + +Now you can build and publish your experiment again, to send it live for all your visitors: + +```sh + +# Build your container file & publish to AWS S3 (if configured) +gulp build && gulp publish + +``` diff --git a/website/docs/home.__md b/website/docs/home.__md new file mode 100644 index 0000000..4c82259 --- /dev/null +++ b/website/docs/home.__md @@ -0,0 +1,7 @@ +--- +id: home +title: "Homepages" +sidebar_label: "Home" +slug: "/" +--- + diff --git a/website/docs/intro.md b/website/docs/intro.md new file mode 100644 index 0000000..861f3c1 --- /dev/null +++ b/website/docs/intro.md @@ -0,0 +1,162 @@ +--- +id: home +title: Mojito framework overview +sidebar_label: Overview +--- +

Mojito experimentation framework

+ +Mojito is a modular, source-controlled split testing framework that lets you build, launch and analyse experiments via Git/CI. + +It is comprised of 3 core modules that can be used independently of each other or in unison: + +1. **[Mojito JS Delivery](js-delivery-intro)**: Run experiments on your site through JS. ([Github](https://github.com/mint-metrics/mojito-js-delivery)) +2. **[Mojito Snowplow Storage](snowplow-storage-intro)**: Events & data models for tracking into Snowplow Analytics. ([Github](https://github.com/mint-metrics/mojito-snowplow-storage)) +3. **[Mojito R Analytics](r-analytics-intro)**: Templatable RMarkdown experiment reports. ([Github](https://github.com/mint-metrics/mojito-r-analytics)) + +![Mojito's 3 components](/img/modules.png) + +## Features + +- ~5.5kb minified & gzipped +- Define experiments with simple JS or YAML +- Self-hosted & git-controlled for familiar code review / merging +- Expressive trigger system & utilities +- Variant code (JS/CSS) minification & linting +- Track and handle JS errors caused by your variant code + +## Mojito vs. [vendor] + +Differentiating features between popular vendors' tools and Mojito out of the box: + +| Feature | Optimizely X | Google Optimize | Mojito | +| ------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------- | ------------------ | +| Open-source license | ❌ | ❌ | ✅ BSD3 | +| Light front-end codebase | ❌~80kb\* | ❗~25kb\* | ✅~5.5kb^ | +| Git source control & CI | ❌ | ❌ | ✅ | +| Variant error-tracking/handling | ❌ | ❌ | ✅ | +| Auto CSS/JS minification | ❗([not custom code](https://help.optimizely.com/Set_Up_Optimizely/Best_practices_for_site_performance_with_Optimizely#Use_custom_code_and_extensions_to_deliver_substantial_changes_within_Optimizely)) | ❓ | ✅ | +| Self-hosted | ❗ (for a fee) | ❗(via API) | ✅ | +| Data ownership | ❗(via S3 export) | ❗(via 360/BigQuery) | ✅ | +| Retroactively add new metrics | ✅ | ❗(360 only) | ✅ | +| Server-side/App testing | ✅ | ❗(via API) | ❗(via **Storage**) | +| WYSIWYG test editor | ✅ | ✅ | ❌ | + +\* Tested 2019-07-05, ^ Tested 2020-05-18 + +## Getting started + +Mojito consists of three components, which are often switched out in the course of Mint Metrics' client services: + +1. **Delivery**: Front-end libraries to reliably control which treatments users are exposed to. e.g. [Mojito JS Delivery](js-delivery-intro) +2. **Storage**: Data collection modules and data modelling steps to power your reports. e.g. [Mojito Snowplow Storage](snowplow-storage-intro) +3. **Analytics**: Tools to measure & report on the effects caused by your treatments. e.g. [Mojito R Analytics](r-analytics-intro) + +Get up and running quickly with the README files inside each section. + +## Example experiment + +Using Mojito's CI tools, you can set up experiments in YAML & JS: + +```{"{"}yaml{"}"} + +id: ex1 +name: Example test 1 +state: live +sampleRate: 0.75 +trigger: trigger.js +recipes: + 0: + name: Original + 1: + name: Variant + js: variant.js + css: variant.css + +``` + +Where `trigger.js` activates the experiment when a condition is met and a callback to activate is fired: + +```{"{"}js{"}"} + +function trigger(test) { + if (document.location.pathname === '/') test.activate(); +} + +``` + +Upon activation, the will include 75% of traffic (`sampleRate: 0.75`) and split it 50-50 between "Original" and "Variant" groups. + +For users assigned to the "Variant" group, we execute **a)** `variant.js` and **b)** `variant.css` files to transform the page through a **a)** JS function and **b)** CSS stylesheet respectively. + +### After you've defined an experiment YAML... + +Run the Gulp pipeline to lint/test/publish your container. + +1. Install the necessary NPM packages: `npm install` +2. Build & publish your testing container: `gulp build && gulp publish` + +## Example analytics reports + +If you use our Snowplow/Redshift & R Analytics component for reporting, all your metrics can be reported on with a simple array of metrics. + +```{"{"}r{"}"} + +wave_params <- list( + client_id = "mintmetrics", + wave_id = "ex1", + start_date = "2019-05-15 09:19:45", + stop_date = "2019-06-05 14:29:00", + time_grain = "hours", + subject = "usercookie", + recipes = c("Original", "Variant") +) + +goalList <- list( + list( + title = "Transactions", + goal = "purchase", + operand = "=" + ), + list( + title = "Thankyou page views", + goal = "page_view /contact/thank-you%", + operand = "like" + ) +) +goalList <- mojitoFullKnit(wave_params, goal_list = goalList) + +``` + +For this experiment, we'll report on transactions and page views: + +![Measuring the performance of a treatment relative to the control group in Mojito.](/img/reports.png) + +## Support for other analytics back-ends + +You don't exactly need Snowplow Analytics to use Mojito. You can also track experiments to wherever you like, via a custom storage adapter. E.g. To Google Tag Manager, Adobe etc. + +You can even [hook Mojito Delivery up to Google Optimize's reports for free](https://mintmetrics.io/web-analytics/track-your-optimizely-vwo-tests-inside-google-optimize/). + +## Server-side and app split testing libraries + +Currently we support only front-end JavaScript experimentation through our **Delivery** module. Until we build out SDKs for apps and server-side code, our support for experiments on these platforms is through our **Storage** and **Analytics** components. + +## Using modules independently + +The modular structure makes it easy to use components of Mojito independently of one another. We often use Mojito components individually when: + +1. Existing SaaS tool like Optimizely, VWO or Convert.com is implemented as a **Delivery** mechanism: Track experiments into [Storage](snowplow-storage-intro) and [Analytics](r-analytics-intro) reports +2. Existing **Storage** target and **Analytics** reports, such as Google Optimize are being used: Build and launch experiments from Git/CI with [Mojito's JS split testing library](js-delivery-intro) + +## Credits + +Our **Delivery** JS library is a heavily modified fork of the excellent [jamesyu/cohorts](https://github.com/jamesyu/cohorts) lib. Meanwhile we employ heavy use of the [Snowplow Analytics event pipeline](https://snowplowanalytics.com/) for our **Storage** component and [RStudio/Knitr](https://rmarkdown.rstudio.com/) for our **Analytics** reports. + +## Getting involved + +We would love to see PRs! We're able to assist if you hit any snags getting set up. + +Reach out to us via: + +- [Mint Metrics' website](https://mintmetrics.io/) +- [Open an issue on Github](https://github.com/mint-metrics/mojito/issues/new) diff --git a/website/docs/jd-delivery-api-decision-adapter.md b/website/docs/jd-delivery-api-decision-adapter.md new file mode 100644 index 0000000..c55ef1a --- /dev/null +++ b/website/docs/jd-delivery-api-decision-adapter.md @@ -0,0 +1,119 @@ +--- +id: js-delivery-api-decision-adapter +title: Customise your decision adapter & bucketing +sidebar_label: Customise decsion adapter +--- +Mojito gives users control over the decision/bucketing engine that assigns subjects to tests and recipes. This is especially useful in an ITP 2.3 world devoid of lasting client-set cookies. + +The decision adapter lets you: + +- Bucket subjects consistently across devices (e.g. assigning tests by a customer ID) +- Work around ITP 2.3 restrictions (e.g. by using a server-set cookie ID) +- Implement your own, preferred PRNG or hash function + +It gives you unprecedented control over how subjects are assigned. + +## Mojito.options.decisionAdapter + +The `decisionAdapter` is called when subjects are bucketed and assigned a recipe ([see `Assign subject by sample rate` on the execution flowchart](js-delivery-api-execution-order#split-test-object-execution-flowchart)). This can happen up to three times per experiment ([as described below](#expect-to-handle-multiple-decisions-per-test)). + +### Syntax + +`Mojito.options.decisionAdapter = function (test) {...};` + +| Parameter |   | +| -------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| **test**
Type: _object_
_Required_ | The fully constructed test object is passed into this function in the first position. You can access everything within the test object or store values behind new/existing keys for later use. | + +| Return value |   | +| ------------- | ----------------------------------------------- | +| Type: _float_ | The decision returned (must be between 0 and 1) | + +## Example: Set a new default decision adapter + +Inside your `./lib/shared-code.js` you could define a container-wide adapter like so: + +```js + +/** + * My Custom Decision Adapter + * @param {Object} test: The full test object to access within the decisionAdapter + * @returns {Float}: The decision - a number between 0 and 1 + */ +Mojito.options.decisionAdapter = function (test) +{ + return Math.random(); +}; + +``` + +It must return a value between 0 and 1. E.g. Consider an experiment with a 50-50 split between `Control` and `Treatment` groups - if the decision adapter returns a value of `0.3`, then the user would be assigned the `Control`. Whereas a value of `0.7` would bucket them into the `Treatment` group. + +## Expect to handle multiple decisions per test + +When using a random seed to deterministically generate a random number, remember that some tests can require up to three calls to your decision adapter per test: + +1. **Test sample rate decision**: Whether or not the user will be included in the test +2. **Recipe / bucketing decision**: Which group a user is assigned to +3. (Optional) **Recipe-level sample rates**: When using recipes-specific sample rates with similar size sample rates + +### Using seeds & generating new random numbers for each decision + +Mojito tracks the number of decisions made per test by bumping its `decisionIdx` each time its run. This allows you to generate new seeds, or use a different part of an existing seed. + +Given the following seed, you may take the first 8 characters for decision 1, the next 8 for decision 2 and so on: + +```js + +md5('userId' + test.options.id); // 'userIdw3' +> '70c223cd4186e356a988f254e924b084' +'70c223cd' + '4186e356' + 'a988f254' + 'e924b084' + +``` + +- Decision 1: `0x70c223cd` +- Decision 2: `0x4186e356` +- Decision 3: `0xa988f254` + +In hex, each of these "decisions" still provides 4,294,967,295 possible numbers. This should be ample granularity for most experiments. + +You could also generate fresh seeds every call by appending `decisionIdx` to the input: + +```js + +// 1. Bucketing decision +md5('userId' + test.options.id + test.options.decisionIdx); // 'userIdw30' +> '47d261bbaef165542985016faf8dbee8' +... +// 2. Recipe chosen decision +md5('userId' + test.options.id + test.options.decisionIdx); // 'userIdw31' +> 'ef071e91cb77b27ac5ee3821441f623e' +... +// 3. Recipe same sample rates +md5('userId' + test.options.id + test.options.decisionIdx); // 'userIdw32' +> '465c91027a4063c011aef06ed1507a11' + +``` + +## Cache expensive values on your test object + +For performance reasons, it can be useful to save the output of expensive funtions to the test object for subsequent decisions: + +```js + +Mojito.options.decisionAdapter = function (test) +{ + // Check for an existing seed, else create a new one + var seed = test.options.seed; + if (!seed) + { + seed = md5(userdId + test.options.id); + // Store the seed in the test object for later use + test.options.seed = seed; + } + + // Return the decision + return seededRandom(seed, test.options.decisionIdx); +}; + +``` diff --git a/website/docs/js-delivery-api-execution-order.md b/website/docs/js-delivery-api-execution-order.md new file mode 100644 index 0000000..616a13f --- /dev/null +++ b/website/docs/js-delivery-api-execution-order.md @@ -0,0 +1,87 @@ +--- +id: js-delivery-api-execution-order +title: Mojito test activation conditions & order of execution +sidebar_label: Test activation & execution order +mermaid_chart_source: "https://mermaidjs.github.io/mermaid-live-editor/#/edit/eyJjb2RlIjoiZ3JhcGggVERcbnN1YmdyYXBoIFwiQ29udGFpbmVyIGNvZGVcIlxuQShNb2ppdG8gbGliIHJ1bnMpIC0tPiBCKFNoYXJlZCBjb2RlIHJ1bnMpIFxuZW5kXG5cbnN1YmdyYXBoIFwiRWFjaCB0ZXN0IG9iamVjdFwiXG5CIC0tPiBEKFwiVGVzdCBsb2FkcyAmIHRyaWdnZXIoKSBleGVjdXRlc1wiKVxuRCAtLT4gfFwi4pyUIFRlc3QgYWN0aXZhdGUoKSBjYWxsZWRcInwgRShcIkNoZWNrOiBGb3JjZWQgaW50byByZWNpcGVcIilcbkUgLS0-IHxcIuKclyBOb3QgZm9yY2VkIGludG8gcmVjaXBlXCJ8IEYoXCJDaGVjazogUHJldmlvdXNseSBidWNrZXRlZFwiKVxuRiAtLT4gfFwi4pyXIE5vdCBwcmV2aW91c2x5IGJ1Y2tldGVkXCJ8IEcoXCJDaGVjazogVGVzdCBzdGF0ZSBpcyAnbGl2ZSdcIilcbkcgLS0-IHxcIuKclCBUZXN0IGlzIGxpdmVcInwgSChcIkFzc2lnbiBTdWJqZWN0IGJ5IHNhbXBsZSByYXRlXCIpXG5cbkUgLS0-IHxcIuKclCBGb3JjZWQgYnkgcHJldmlldyBtb2RlXCJ8IElcbkUgLS0-IHxcIuKclCBGb3JjZWQgYnkgZGl2ZXJ0XCJ8IE4oXCJDaGVjazogVGVzdCBzdGF0ZSBpcyAnbGl2ZSdcIilcbk4gLS0-IHxcIuKclCBSdW4gZGl2ZXJ0ZWQgcmVjaXBlXCJ8IEtcbk4gLS0-IHxcIuKclyBUZXN0IGlzIG5vdCBsaXZlXCJ8IFpcbkYgLS0-IHxcIuKclCBQcmV2aW91c2x5IGFzc2lnbmVkIHJlY2lwZVwifCBJXG5IIC0tPiB8XCLinJQgQnVja2V0ZWQgaW50byB0ZXN0XCJ8IEkoQXNzaWdubWVudCBzdG9yZWQgaW4gY29va2llKVxuXG5zdWJncmFwaCBcIiBcIlxuSSAtLT4gSihFeHBvc3VyZSB0cmFja2luZyBydW5zKVxuSiAtLT4gSyhTaGFyZWQgQ1NTICYgSlMgcnVucylcbksgLS0-IEwoUmVjaXBlIENTUyAmIEpTIHJ1bnMpXG5lbmRcblxuRCAtLT4gfFwi4pyXIFRlc3QgYWN0aXZhdGUoKSBub3QgY2FsbGVkXCJ8IFooQ29tcGxldGUpXG5HIC0tPiB8XCLinJcgVGVzdCBpcyBub3QgbGl2ZVwifCBaXG5IIC0tPiB8XCLinJcgRXhjbHVkZWQgYnkgc2FtcGxlIHJhdGVcInwgWlxuTCAtLT4gWlxuZW5kXG5cblxuY2xhc3NEZWYgcnVuVXNlciBmaWxsOiNhZmEsc3Ryb2tlOiNhZmE7XG5jbGFzcyBCIHJ1blVzZXI7XG5jbGFzcyBEIHJ1blVzZXI7XG5jbGFzcyBLIHJ1blVzZXI7XG5jbGFzcyBMIHJ1blVzZXI7XG4iLCJtZXJtYWlkIjp7InRoZW1lIjoibmV1dHJhbCJ9fQ" +build_notes: "Save as an SVG and add "style='font-size: 14px !important;'" to the svg node as an attribute." +--- +Mojito runs experiments as the browser executes your JavaScript snippet. This article should help you reason about: + +- When your experiments activate within a page load +- Conditions required for activation +- In which order the Mojito library, shared code & experiments fire in + +And of course, [Mojito's open source code](https://github.com/mint-metrics/mojito-js-delivery/blob/master/lib/mojito.js) is a useful canonical reference, too. + +## Split test object execution flowchart + +This is a simplified flowchart of how Mojito runs your experiment code. + +**Legend:** + +- _Grey:_ Library code +- _Green:_ User code + +[Open diagram in full screen](/img/js-delivery/api/execution-order.png). + +![Mojito JS Delivery split test activation and order of execution flowchart.](/img/js-delivery/api/execution-order.png) + +## Fix timing issues and avoid race conditions + +Experiment triggers fire as soon as the test object loads. If you `activate` your experiment too soon, elements that your test depends on may not have loaded, causing it to fail. + +Therefore, your test's `trigger` function may need to delay activation until everything you need on the page has loaded. + +We recommend delaying activation until the page is ready to be transformed, by using Mojito utilities, like: + +- [`Mojito.utils.domReady()`](js-delivery-utilities#mojitoutilsdomready) +- [`Mojito.utils.waitForElement()`](js-delivery-utilities#mojitoutilswaitforelement) +- [`Mojito.utils.waitUntil()`](js-delivery-utilities#mojitoutilswaituntil) + +See [more utilities here](js-delivery-utilities) + +## Order of experiments inside your container + +Assuming you have a couple of experiments in your container, they will be loaded from your `./lib/waves/` folder in alphabetical order. Like so: + +1. `Mojito library code` +2. `Shared code` +3. Test objects: + 1. `aa3` + 2. `w1` + 3. `w5` + +This order is useful to keep in mind if/when you need to access variables from one test object in another. + +## External activation & cross-experiment activation + +When a test object loads, it exposes its `activate()` function so you may trigger it from an external JS or another test object. As you can see in the execution order flowchart above, this lets you bypass the test's `trigger()` function logic: + +```js + +Mojito.testObjects.w1.activate(); + +``` + +This is useful for building tests that are dependant on one another: + +- W12: + - Control + - Treatment (Runs `Mojito.testObjects.w13.activate();`): + - W13 : + - Control + - Treatment + +Experiments can only be activated once per page unless you directly call/access the experiments' `js` and `css` files. + +### Wait until the experiment has loaded + +Until the test object has loaded, you will not be able to activate it externally. As above, we recommend using a polling function to wait until the experiment has loaded: + +```js + +Mojito.utils.waitUntil(function() { + return !!Mojito.testObjects.w1; +}, Mojito.testObjects.w1.activate); + +``` diff --git a/docs/js-delivery-api-storage-adapter.md b/website/docs/js-delivery-api-storage-adapter.md similarity index 56% rename from docs/js-delivery-api-storage-adapter.md rename to website/docs/js-delivery-api-storage-adapter.md index 0969491..ef6e252 100644 --- a/docs/js-delivery-api-storage-adapter.md +++ b/website/docs/js-delivery-api-storage-adapter.md @@ -3,12 +3,11 @@ id: js-delivery-api-storage-adapter title: Storage adapter & tracking reference sidebar_label: Storage adapter & tracking --- - Mojito exposes three key events which you can capture in your Analytics tool: - - [Exposures](#mojitooptionsstorageadapteronexposure) - - [Failures (variant code JavaScript errors)](#mojitooptionsstorageadapteronrecipefailure) - - [Veil timeouts](#mojitooptionsstorageadapteronveiltimeout) +- [Exposures](#mojitooptionsstorageadapteronexposure) +- [Failures (variant code JavaScript errors)](#mojitooptionsstorageadapteronrecipefailure) +- [Veil timeouts](#mojitooptionsstorageadapteronveiltimeout) Each event makes the whole `testObject` available to the `storageAdapter` functions, giving you complete tracking flexibility. @@ -16,8 +15,8 @@ Each event makes the whole `testObject` available to the `storageAdapter` functi Mojito supports configuring tracking at both the container level and through an override directly inside the test object: -1. **Container default:** Define a container-wide `storageAdapter` through `Mojito.options.storageAdapter` inside `./lib/shared-code.js`. -2. **Test object override:** Pass a `storageAdapter` object through the test object, overriding any defaults defined in the container. +1. **Container default:** Define a container-wide `storageAdapter` through `Mojito.options.storageAdapter` inside `./lib/shared-code.js`. +2. **Test object override:** Pass a `storageAdapter` object through the test object, overriding any defaults defined in the container. This lets you add bespoke tracking for tests that call for it. See the below [examples for how to define your storageAdapter](#examples). @@ -29,11 +28,9 @@ As soon as an experiment is activated, this function runs, designating the momen `storageAdapter.onExposure(testObject);` -Parameter |   ---|-- -**testObject**
Type: *object*
*Required* | The fully constructed test object is passed into this function in the first position. This allows you to access every value inside the test object. - - +| Parameter |   | +| -------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------- | +| **testObject**
Type: _object_
_Required_ | The fully constructed test object is passed into this function in the first position. This allows you to access every value inside the test object. | ## Mojito.options.storageAdapter.onVeilTimeout() @@ -43,11 +40,10 @@ When using veil and the experiment fails to activate within your configured `vei `storageAdapter.onVeilTimeout(testObject, ultimateRecipe);` -Parameter |   ---|-- -**testObject**
Type: *object*
*Required* | The fully constructed test object is passed into this function in the first position. This allows you to access every value inside the test object. -**ultimateRecipe**
Type: *string*
*Required* | The name of the recipe users were ultimately exposed to. - +| Parameter |   | +| ------------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------- | +| **testObject**
Type: _object_
_Required_ | The fully constructed test object is passed into this function in the first position. This allows you to access every value inside the test object. | +| **ultimateRecipe**
Type: _string_
_Required_ | The name of the recipe users were ultimately exposed to. | ## Mojito.options.storageAdapter.onRecipeFailure() @@ -57,17 +53,17 @@ Variant code for each recipe's `js()` is executed within tryCatch. Any errors ca `storageAdapter.onRecipeFailure(testObject, error);` -Parameter |   ---|-- -**testObject**
Type: *object*
*Required* | The fully constructed test object is passed into this function in the first position. This allows you to access every value inside the test object. -**error**
Type: *string*
*Optional* | The error message or stack, if it exists, for the JS error caught inside the recipe function. - +| Parameter |   | +| -------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------- | +| **testObject**
Type: _object_
_Required_ | The fully constructed test object is passed into this function in the first position. This allows you to access every value inside the test object. | +| **error**
Type: _string_
_Optional_ | The error message or stack, if it exists, for the JS error caught inside the recipe function. | ## Example storage adapter & test object override - - +Shared code + ```js + Mojito.options.storageAdapter = { onExposure: function(obj) @@ -111,10 +107,13 @@ Mojito.options.storageAdapter = { } } }; + ``` - +Test object override + ```js + Mojito.addTest({ "id": "w12", "name": "Example test", @@ -141,6 +140,6 @@ Mojito.addTest({ "storageAdapter": customStorageAdapterObject } }); + ``` - diff --git a/docs/js-delivery-customisation.md b/website/docs/js-delivery-customisation.md similarity index 93% rename from docs/js-delivery-customisation.md rename to website/docs/js-delivery-customisation.md index 8e840fb..4bd24fe 100644 --- a/docs/js-delivery-customisation.md +++ b/website/docs/js-delivery-customisation.md @@ -3,20 +3,20 @@ id: js-delivery-customisation title: Customise your Mojito container shared code & tracking sidebar_label: Add shared tools & tracking --- - Shared JS defined in `repo/lib/shared-code.js` can be accessed by any experiment in the container. It's also used to define Mojito's optional parameters, e.g. [Custom storage adaptors](#tracking-data-collection-error-handling), [Debug mode](#debug-mode) and [Exclusion rules](#default-exclusion-rule). ## Tracking, data collection & error handling Mojito provides hooks for 3 key events: -1. Exposure (typically when users are assigned to a test) -2. Failure (JS error thrown) -3. Veil timeout (if hiding the contents of the page temporarily before variants are revealed but the timeout is reached) +1. Exposure (typically when users are assigned to a test) +2. Failure (JS error thrown) +3. Veil timeout (if hiding the contents of the page temporarily before variants are revealed but the timeout is reached) In your shared code, specify your own tracking and error handling functions. Just like this example for Google Tag Manager: ```js + Mojito.options.storageAdapter = { onExposure: function(obj){ @@ -61,6 +61,7 @@ Mojito.options.storageAdapter = { } }; + ``` The whole test object is passed into the `storageAdapter` functions, allowing you to track custom values for your experiment (e.g. Google Optimize tracking, Google Analytics Custom Dimensions and experiment versions). In the example above, we expose `gaExperimentId` on the root of the test object and we're able to access it via `obj.options.gaExperimentId`. @@ -72,6 +73,7 @@ Let's face it - we need to exclude IE and other ancient browsers from being buck To exclude a useragent from being bucketed, you need to set `Mojito.options.excluded` to `true` for those you want excluded. We recommend setting the value from the output of a function, like so: ```js + Mojito.options.excluded = (function(){ // Exclude troublesome browsers across all experiments return (!navigator.cookieEnabled || @@ -80,6 +82,7 @@ Mojito.options.excluded = (function(){ !document.documentElement.classList ); })(); + ``` ### Debug mode @@ -87,11 +90,13 @@ Mojito.options.excluded = (function(){ To enable console logging from the Mojito library, you'll need to set `Mojito.options.debug` to `true`: ```js + Mojito.options.debug = true; // false to disable + ``` ## Next steps Finished customising your setup? -Next, [build your Mojito container and launch some experiments](js-delivery-preview-launch.md)! \ No newline at end of file +Next, [build your Mojito container and launch some experiments](js-delivery-preview-launch.md)! diff --git a/docs/js-delivery-gulp-commands.md b/website/docs/js-delivery-gulp-commands.md similarity index 50% rename from docs/js-delivery-gulp-commands.md rename to website/docs/js-delivery-gulp-commands.md index d8ea7be..9832fde 100644 --- a/docs/js-delivery-gulp-commands.md +++ b/website/docs/js-delivery-gulp-commands.md @@ -1,9 +1,8 @@ --- id: js-delivery-gulp-commands title: Gulp CLI reference for Mojito JS Delivery -sidebar_label: Gulp commands / CLI +sidebar_label: "Gulp commands / CLI" --- - You can build your container, perform unit tests, manage experiments and even publish your container to your S3 buckets all from your terminal. It's the quickest way to manage your container. @@ -14,17 +13,18 @@ Run your Mojito library against a set of unit tests to confirm it's working as e ### Commands - - `gulp test` +- `gulp test` -Flags | Description ---|-- -N/A |   +| Flags | Description | +| ----- | ----------- | +| N/A |   | ### Example: Upgrading Mojito library Imagine you upgraded your Mojito library to the latest version and you want to check it's working correctly against the full test suite. Running `test` will run the `lib/mojito.js` library through all available tests. ```shell + $ gulp test [14:58:40] Using gulpfile ~/Documents/mojito-js-delivery/gulpfile.js [14:58:40] Starting 'test'... @@ -60,58 +60,60 @@ Excluded from test by Mojito.options.excluded value. 21 passing (4s) [14:58:44] Finished 'test' after 4.05 s + ``` -## gulp scripts +## gulp build (previously 'gulp scripts') -`scripts` builds the Mojito container using all the available tests inside `lib/waves/*`. Any JS test objects named `test-object.js` or YML test definitions that are not `inactive` state will be parsed and added to the container in ascending order. +The `build` command builds the Mojito container using all the available tests inside `lib/waves/*`. Any JS test objects named `test-object.js` or YML test definitions that are not `inactive` state will be parsed and added to the container in ascending order. The output of this script will save your mojito container into both minified and unminified files under `dist/{{scriptname}}.js` and `dist/{{scriptname}}.pretty.js`, where `{{scriptname}}` is the configured name you used in your repository's `config.js` `containerName` variable. ### Commands - - `gulp scripts` or `gulp` (default task) +- `gulp build` or `gulp` (default task) +- `gulp scripts` (deprecated) - -Flags | Description ---|-- -N/A |   +| Flags | Description | +| ----- | ----------- | +| N/A |   | ### Example: Build a new test into your container -Imagine you've just created a new experiment (Wave ID: `w2`) and you want to build it into your Mojito container. Running `gulp scripts` will build the container and provide a summary of the experiments inside it. +Imagine you've just created a new experiment (Wave ID: `w2`) and you want to build it into your Mojito container. Running `gulp build` will build the container and provide a summary of the experiments inside it. ```shell -$ gulp scripts + +$ gulp build [15:16:04] Using gulpfile ~/Documents/mojito-js-delivery/gulpfile.js -[15:16:04] Starting 'scripts'... -[15:16:05] Finished 'scripts' after 699 ms +[15:16:04] Starting 'build'... +[15:16:05] Finished 'build' after 699 ms Mojito container built with 2 tests (4.78 KB): Live (1) - aa1 Staging (1) - w2 Inactive (1) + ``` In the output above, you can see `w2` has been included in your Mojito container with state set to `staging`. - ## gulp set Sets the `state` of an experiment and/or can `divert` an experiment's traffic to a particular `recipe`. ### Commands - - `gulp set --live [waveid] --traffic [samplerate]` - - `gulp set --staging [waveid]` - - `gulp set --inactive [waveid]` - - `gulp set --divert [waveid] --recipe [recipeid]` +- `gulp set --live [waveid] --traffic [samplerate]` +- `gulp set --staging [waveid]` +- `gulp set --inactive [waveid]` +- `gulp set --divert [waveid] --recipe [recipeid]` -Flags | Description ---|-- ---live [waveid (required)], --traffic [samplerate] (optional) | Change a given `wave ID`'s state to `live`, so new users can be assigned into the test. Live tests will be built into the container. Optionally, you can specify the sample rate of traffic to set the experiment live to between 0 and 1. The default traffic sample rate is set to 1 otherwise. ---staging [waveid (required)] | Change a given `wave ID`'s state to `staging`, so new users won't be assigned into the test. Staging tests will be built into the container. ---inactive [waveid (required)] | Change a given `wave ID`'s state to `inactive`. The experiment will not be built into the container, placing it in an archived state. ---divert [waveid (required)], --recipe [recipeid (required)] | Set the `divertTo` flag of a particular `wave ID`, so all users will be diverted into the specified test's `recipe ID`. This does not affect the `state` of an experiment. +| Flags | Description | +| -------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| --live [waveid (required)], --traffic [samplerate] \(optional) | Change a given `wave ID`'s state to `live`, so new users can be assigned into the test. Live tests will be built into the container. Optionally, you can specify the sample rate of traffic to set the experiment live to between 0 and 1. The default traffic sample rate is set to 1 otherwise. | +| --staging [waveid (required)] | Change a given `wave ID`'s state to `staging`, so new users won't be assigned into the test. Staging tests will be built into the container. | +| --inactive [waveid (required)] | Change a given `wave ID`'s state to `inactive`. The experiment will not be built into the container, placing it in an archived state. | +| --divert [waveid (required)], --recipe [recipeid (required)] | Set the `divertTo` flag of a particular `wave ID`, so all users will be diverted into the specified test's `recipe ID`. This does not affect the `state` of an experiment. | ### Example: Sending a test live @@ -120,14 +122,16 @@ You've completed code review/QA on your experiment (Wave ID: `aa1`) and now you To set your `aa1` experiment to state `live` issue the command: ```shell + $ gulp set --live aa1 --traffic 0.1 [15:15:34] Using gulpfile ~/Documents/mojito-js-delivery/gulpfile.js [15:15:34] Starting 'set'... [15:15:34] Finished 'set' after 11 ms Test aa1 has been changed to live successfully. + ``` -Then, when you next run `gulp scripts`, and build your container, your `aa1` test will readily bucket users into the test. +Then, when you next run `gulp build`, and build your container, your `aa1` test will readily bucket users into the test. ### Example: Divert all traffic to a particular recipe @@ -136,11 +140,13 @@ You just finished running your experiment (Wave ID: `w1`) and the Treatment grou Set the test to force eligible users into the Treatment group, bypassing the usual assignment: ```shell + $ gulp set --divert w1 --recipe 1 [15:14:02] Using gulpfile ~/Documents/mojito-js-delivery/gulpfile.js [15:14:02] Starting 'set'... [15:14:02] Finished 'set' after 11 ms Test w1 has been diverted to 1 (Treatment) successfully. + ``` Note that the test needs to be `live` before you can divert traffic into it. @@ -152,15 +158,16 @@ Your experiment (Wave ID: `w1`) has served it's purpose well and it's now time t Simply set it to `inactive`, like so: ```shell + $ gulp set --inactive w1 [15:15:57] Using gulpfile ~/Documents/mojito-js-delivery/gulpfile.js [15:15:57] Starting 'set'... [15:15:57] Finished 'set' after 11 ms Test w1 has been changed to inactive successfully. -``` -And when you next run `gulp scripts`, your `w1` test object will no longer show up in your container, freeing up space inside your container. +``` +And when you next run `gulp build`, your `w1` test object will no longer show up in your container, freeing up space inside your container. ## gulp new @@ -168,17 +175,15 @@ Creates the scaffolding for a new `ab`, `aa` or `demo` test. Generates all the r ### Commands - - `gulp new --ab [waveid]` - - `gulp new --aa [waveid]` - - `gulp new --demo [waveid]` - - -Flags | Description ---|-- ---ab [waveid (required)] | Scaffolds a standard test config file with a given `waveid`, so you can speed up your test development by using safe defaults. ---aa [waveid (required)] | Scaffolds files for new A/A test for a given `waveid`, so you can check your instrumentation. ---demo [waveid (required)] | Scaffolds a new demo test with a given `waveid`, just so we can show you how Mojito tests work. +- `gulp new --ab [waveid]` +- `gulp new --aa [waveid]` +- `gulp new --demo [waveid]` +| Flags | Description | +| -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------- | +| --ab [waveid (required)] | Scaffolds a standard test config file with a given `waveid`, so you can speed up your test development by using safe defaults. | +| --aa [waveid (required)] | Scaffolds files for new A/A test for a given `waveid`, so you can check your instrumentation. | +| --demo [waveid (required)] | Scaffolds a new demo test with a given `waveid`, just so we can show you how Mojito tests work. | ### Example: Running an A/A test @@ -187,52 +192,56 @@ You're a new Mojito user and you want to check you have proper random assignment Call `gulp new` with the `--aa` flag and an appropriate `waveid`: ```shell + $ gulp new --aa aa1 [15:13:07] Using gulpfile ~/Documents/mojito-js-delivery/gulpfile.js [15:13:07] Starting 'new'... [15:13:07] Finished 'new' after 7.3 ms Test aa1 has been created successfully. + ``` To launch this, you can then just run: ```shell + gulp set --live aa1 -gulp scripts && gulp publish +gulp build && gulp publish + ``` Easy, right? - ## gulp publish Publishes the built containers inside `dist/*.js` to the Amazon S3 paths configured under your repository's `config.js` folder. Defaults to publishing into your staging environment. ### Commands - - `gulp publish` - - `gulp publish --production` - -Flags | Description ---|-- ---production (optional) | Publish the `dist/*.js` files into your production S3 path, rather than your staging S3 path. ---awsk (optional) | Your AWS access key ID for the bucket. Defaults to your AWS credentials in your current environment. We recommend [using environment variables or AWS credentials files](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html). ---awss (optional) | Your AWS secret access key for the bucket. Defaults to your AWS credentials in your current environment. We recommend [using environment variables or AWS credentials files](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html). +- `gulp publish` +- `gulp publish --production` +| Flags | Description | +| ----------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| --production (optional) | Publish the `dist/*.js` files into your production S3 path, rather than your staging S3 path. | +| --awsk (optional) | Your AWS access key ID for the bucket. Defaults to your AWS credentials in your current environment. We recommend [using environment variables or AWS credentials files](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html). | +| --awss (optional) | Your AWS secret access key for the bucket. Defaults to your AWS credentials in your current environment. We recommend [using environment variables or AWS credentials files](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html). | ### Example: Publishing a test to your staging container You're building an experiment and you want to check it's working properly in your staging container before you roll it out to production. -Assuming you've built your container with `gulp scripts`, you can go ahead and use `gulp publish` to upload it to S3: +Assuming you've built your container with `gulp build`, you can go ahead and use `gulp publish` to upload it to S3: ```shell + $ gulp publish [16:26:08] Using gulpfile ~/Documents/mojito-js-delivery/gulpfile.js [16:26:08] Starting 'publish'... [16:26:16] [update] mojito.js [16:26:23] [update] mojito.pretty.js [16:26:23] Finished 'publish' after 14 s + ``` Once published, it will be available from your S3 container's URL. diff --git a/docs/js-delivery-hosting-bitbucket.md b/website/docs/js-delivery-hosting-bitbucket.md similarity index 88% rename from docs/js-delivery-hosting-bitbucket.md rename to website/docs/js-delivery-hosting-bitbucket.md index b963e18..658f092 100644 --- a/docs/js-delivery-hosting-bitbucket.md +++ b/website/docs/js-delivery-hosting-bitbucket.md @@ -3,7 +3,6 @@ id: js-delivery-hosting-bitbucket title: 4. Set up Bitbucket Pipelines CI sidebar_label: 4. (Optional) Bitbucket Pipelines CI --- - If using Bitbucket with Pipelines build minutes, you can build, test and publish Mojito JS from the cloud. Perfect for managing your deployments and tracking what's running in production. ## Enable Bitbucket Pipelines in your repo @@ -16,7 +15,6 @@ Flick the switch to turn on Pipelines: ![Step 2](/img/js-delivery/bitbucket/bitbucket_2.png "Turn on Pipelines") - ## Add your Mojito user's AWS credentials to the desired Bitbucket environments Each deployment environment can have different credentials. This is perfect if you want to restrict publish access to Admin users. @@ -27,18 +25,16 @@ Inside your repo settings, browse to `Deployments` under the `Pipelines` section Now, add credentials to your `staging` and `production` environments - and **designate the credentials `Secured`**: - - `AWS_ACCESS_KEY_ID`: Mojito user's AWS Key - - `AWS_SECRET_ACCESS_KEY`: Mojito user's AWS Secret +- `AWS_ACCESS_KEY_ID`: Mojito user's AWS Key +- `AWS_SECRET_ACCESS_KEY`: Mojito user's AWS Secret ![Step 2](/img/js-delivery/bitbucket/bitbucket_3.png "Create a new bucket") Here's where you can restrict publishing to production from specific branches (e.g. like `master`) or only by `Admin` users on your Bitbucket team, too. - ## Next steps Now you're ready to install your snippet. - * [Back to hosting](js-delivery-hosting.md) - * [Back to home](js-delivery-intro.md) - +- [Back to hosting](js-delivery-hosting.md) +- [Back to home](js-delivery-intro.md) diff --git a/docs/js-delivery-hosting-build-script.md b/website/docs/js-delivery-hosting-build-script.md similarity index 75% rename from docs/js-delivery-hosting-build-script.md rename to website/docs/js-delivery-hosting-build-script.md index 844cb8a..6b7ebc7 100644 --- a/docs/js-delivery-hosting-build-script.md +++ b/website/docs/js-delivery-hosting-build-script.md @@ -3,27 +3,30 @@ id: js-delivery-hosting-build-script title: 2. Configure your Mojito container's Gulp build script sidebar_label: 2. Configure build script --- - Settings for the build script are managed inside the [`config.js`](https://github.com/mint-metrics/mojito-js-delivery/blob/master/config.js) located in the repository root directory. Four parameters are currently supported and it affects where you publish the container to: ```js + module.exports = { containerName: "containerfilename", s3BucketDev: "mojito-example/jsdev", s3BucketPRD: "mojito-example/js", s3Region: "ap-southeast-2" }; + ``` -* `containerName`: The file name given to your container - e.g. "google" -* `s3BucketDev`: The path in S3 that contains your development container -* `s3BucketPRD`: The path in S3, where your production container is hosted within -* `s3Region`: The AWS region your bucket is located in +- `containerName`: The file name given to your container - e.g. "google" +- `s3BucketDev`: The path in S3 that contains your development container +- `s3BucketPRD`: The path in S3, where your production container is hosted within +- `s3Region`: The AWS region your bucket is located in These values can affect the URI of your container: ```html + + ``` ## Back to... diff --git a/docs/js-delivery-hosting-iam.md b/website/docs/js-delivery-hosting-iam.md similarity index 75% rename from docs/js-delivery-hosting-iam.md rename to website/docs/js-delivery-hosting-iam.md index be5e6da..fe8b5ad 100644 --- a/docs/js-delivery-hosting-iam.md +++ b/website/docs/js-delivery-hosting-iam.md @@ -3,22 +3,21 @@ id: js-delivery-hosting-iam title: 3. Create publishing user credentials and locked-down IAM policy sidebar_label: 3. Setup AWS user & IAM access --- - We'll use this account to publish Mojito JS containers from your IDE and/or CI pipeline. It's a good practice to lock down the permissions on these users to the specific files/folders they need. Before you continue - [Haven't got a Cloudfront distribution & S3 container setup? Check out the guide here.](js-delivery-hosting-s3-cf.md) ## Create an account in Amazon IAM -1. Log in to [Amazon IAM](https://console.aws.amazon.com/iam/home) and go to the users section: +1. Log in to [Amazon IAM](https://console.aws.amazon.com/iam/home) and go to the users section: ![Step 1](/img/js-delivery/aws/iam_1.png "Open 'Users' and select 'Create user'") -2. Now hit the big blue `Create User` button to open the dialog to add a new user. Assign them a descriptive username and give them `Programmatic access`: +2. Now hit the big blue `Create User` button to open the dialog to add a new user. Assign them a descriptive username and give them `Programmatic access`: ![Step 2](/img/js-delivery/aws/iam_2.png "Name your user and assign them programmatic access.") -3. Continue to the user's permissions and assign them to a group with the appropriately locked down `Policy`: +3. Continue to the user's permissions and assign them to a group with the appropriately locked down `Policy`: ![Step 3](/img/js-delivery/aws/iam_3.png "Add them to an appropriately locked down policy or group") @@ -27,6 +26,7 @@ If you don't have one yet, we suggest [creating a policy through IAM's visual ed We ensure users are locked down to the specific resources they require: ```json + ... "Resource": [ "arn:aws:s3:::mojito-example/js/container-name.js", @@ -34,26 +34,25 @@ We ensure users are locked down to the specific resources they require: "arn:aws:s3:::mojito-example" ] ... + ``` This ensures access to your other S3 buckets and containers' environments are locked down tightly. Meanwhile, wildcards come in handy for publishing `container-name.pretty.js` or setting up other blanket policies. [![Step 3B](/img/js-delivery/aws/iam_3b.png "Use the visual editor to craft a policy with appropriate access.")](https://console.aws.amazon.com/iam/home#/policies$new?step=edit) - -4. (Optional) Add tags to the user if you need them, or skip to the next step +4. (Optional) Add tags to the user if you need them, or skip to the next step ![Step 4](/img/js-delivery/aws/iam_4.png "Adding user tags") -5. Review the user's settings and if all is OK, hit `Create user`. +5. Review the user's settings and if all is OK, hit `Create user`. ![Step 5](/img/js-delivery/aws/iam_5.png "Review settings") -6. Take note of the user's Access Key ID and Secret - these are the credentials Mojito's build script will use to publish to AWS from your IDE or Bitbucket Pipeline. +6. Take note of the user's Access Key ID and Secret - these are the credentials Mojito's build script will use to publish to AWS from your IDE or Bitbucket Pipeline. ![Step 6](/img/js-delivery/aws/iam_6.png "Grab the Access Key and Access Secret for use later on") - ## Install and set up the AWS CLI tool (to allow publishing via the CLI) Follow [Amazon's AWS CLI installation & setup guide](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-install.html) using the credentials you created in Step #1. We won't cover this here. @@ -61,22 +60,26 @@ Follow [Amazon's AWS CLI installation & setup guide](https://docs.aws.amazon.com Now you can publish straight from your IDE: ```bash -gulp scripts && gulp publish + +gulp build && gulp publish + ``` And if your user has access to production, they can push to your configured production environment through the `--production` flag: ```bash -gulp scripts && gulp publish --production + +gulp build && gulp publish --production + ``` ## Repeat this step for other users We suggest adding the following users: - - Bitbucket production environments - - Bitbucket development environments - - Individual developers who need to publish to specific environments from their IDEs +- Bitbucket production environments +- Bitbucket development environments +- Individual developers who need to publish to specific environments from their IDEs For easy maintenance, use roles and groups that have your Mojito policies attached. diff --git a/docs/js-delivery-hosting-s3-cf.md b/website/docs/js-delivery-hosting-s3-cf.md similarity index 67% rename from docs/js-delivery-hosting-s3-cf.md rename to website/docs/js-delivery-hosting-s3-cf.md index 8aacfad..910342b 100644 --- a/docs/js-delivery-hosting-s3-cf.md +++ b/website/docs/js-delivery-hosting-s3-cf.md @@ -3,42 +3,40 @@ id: js-delivery-hosting-s3-cf title: 1. Set up AWS S3 & Cloudfront distribution for hosting Mojito sidebar_label: 1. AWS S3 & Cloudfront setup --- - We set up S3 and Cloudfront first so we can assign users with limited access to publish conatiners. ## Create a public S3 Bucket A public S3 bucket is useful for preview/staging purposes and simplifying permissions (they'll be public through Cloudfront anyway). -1. Login to AWS and [open your S3 console](https://s3.console.aws.amazon.com/s3/home). +1. Login to AWS and [open your S3 console](https://s3.console.aws.amazon.com/s3/home). -2. Hit the big blue `Create bucket` button +2. Hit the big blue `Create bucket` button ![Step 2](/img/js-delivery/aws/s3_1.png "Create a new bucket") -3. Give your container a descriptive name and hit `Next`: +3. Give your container a descriptive name and hit `Next`: ![Step 3](/img/js-delivery/aws/s3_2.png "Name your container") -4. Keep the default options (versioning is useless when Mojito JS is source-controlled): +4. Keep the default options (versioning is useless when Mojito JS is source-controlled): ![Step 4](/img/js-delivery/aws/s3_3.png "Keep the default options") -5. Disable blocking of public access. Again, this simplifies permissions and your bucket contents will be available through Cloudfront anyway. +5. Disable blocking of public access. Again, this simplifies permissions and your bucket contents will be available through Cloudfront anyway. ![Step 5](/img/js-delivery/aws/s3_4.png "Disable public blocking") -6. Review your settings and hit `Create bucket`: +6. Review your settings and hit `Create bucket`: ![Step 5](/img/js-delivery/aws/s3_5.png "Review your settings and hit 'Create bucket'") - ## Add folders for your Mojito JS environments We suggest creating folders for development and production use: - - `js` (production) - - `jsdev` (development) +- `js` (production) +- `jsdev` (development) ![Production](/img/js-delivery/aws/bucket_1.png "Production container") ![Staging/Development](/img/js-delivery/aws/bucket_2.png "Development container") @@ -46,51 +44,52 @@ We suggest creating folders for development and production use: You'll need to add these keys to your Mojito JS [`repo/config.js`](https://github.com/mint-metrics/mojito-js-delivery/blob/master/config.js) file, like so: ```js + module.exports = { containerName: "containerfilename", s3BucketDev: "mojito-example/jsdev", s3BucketPRD: "mojito-example/js", s3Region: "ap-southeast-2" }; + ``` Read more [about the Gulp file's config script](js-delivery-hosting-build-script.md). - ## Create a Cloudfront distribution from your S3 bucket Now we'll setup a CDN to serve your container lightning-quick from anywhere in the world. -1. [Open your Cloudfront console in AWS](https://console.aws.amazon.com/cloudfront/home) and hit the big blue `Create Distribution` button. +1. [Open your Cloudfront console in AWS](https://console.aws.amazon.com/cloudfront/home) and hit the big blue `Create Distribution` button. ![Step 1](/img/js-delivery/aws/cf_1.png "Create a Cloudfront distribution") -2. Hit `Get Started` under the "Web" delivery method: +2. Hit `Get Started` under the "Web" delivery method: ![Step 2](/img/js-delivery/aws/cf_2.png "Select the distribution's delivery method") -3. Using your newly created S3 bucket, point the `Origin Domain Name` at the S3 bucket (in this case, `mojito-example`): +3. Using your newly created S3 bucket, point the `Origin Domain Name` at the S3 bucket (in this case, `mojito-example`): ![Step 3](/img/js-delivery/aws/cf_3.png "Point the distribution at your S3 bucket") -4. Most of the default settings should be fine to keep over the rest of the pages. +4. Most of the default settings should be fine to keep over the rest of the pages. **NB:** You may be tempted to set TTL headers or compression, but it's important to ensure: - - `Use Origin Cache Headers` is enabled - - `Compress objects automatically` is set to diabled +- `Use Origin Cache Headers` is enabled +- `Compress objects automatically` is set to diabled We make these options configurable inside the gulp publishing script, instead. -![Step 4](/img/js-delivery/aws/cf_4.png "") +![Step 4](/img/js-delivery/aws/cf_4.png) -![Step 4](/img/js-delivery/aws/cf_5.png "") +![Step 4](/img/js-delivery/aws/cf_5.png) -![Step 4](/img/js-delivery/aws/cf_6.png "") +![Step 4](/img/js-delivery/aws/cf_6.png) -![Step 4](/img/js-delivery/aws/cf_7.png "") +![Step 4](/img/js-delivery/aws/cf_7.png) -5. Once your settings match the recommended settings above, hit `Create Distribution` to continue. Your Cloudfront distribution will provision shortly... +5. Once your settings match the recommended settings above, hit `Create Distribution` to continue. Your Cloudfront distribution will provision shortly... ![Step 5](/img/js-delivery/aws/cf_8.png "Distribution being provisioned") @@ -101,7 +100,9 @@ We make these options configurable inside the gulp publishing script, instead. Add a file (with Public read-access enabled) to the root of the S3 container directory and try accessing it through the new Cloudfront domain you provisioned: ``` + https://{{my distribution hostname}}.cloudfront.net/test.file + ``` Check to see that it loads. If so, nice job! diff --git a/docs/js-delivery-hosting-snippet.md b/website/docs/js-delivery-hosting-snippet.md similarity index 63% rename from docs/js-delivery-hosting-snippet.md rename to website/docs/js-delivery-hosting-snippet.md index 1aefd05..e9c84ac 100644 --- a/docs/js-delivery-hosting-snippet.md +++ b/website/docs/js-delivery-hosting-snippet.md @@ -3,34 +3,35 @@ id: js-delivery-hosting-snippet title: 5. Install your Mojito JS snippet sidebar_label: 5. Snippet installation --- - We typically install Mojito JS synchronously in the head of all pages with a script tag: ```html + + ``` Just replace the placeholder text in the snippet abover with your own values: - * `{{cloudfront-cname}}`: The Cloudfront distribution URL you just set up - * `{{environment}}`: The path to your [production environment as configured](js-delivery-hosting-build-script.md) in your [`config.js`](https://github.com/mint-metrics/mojito-js-delivery/blob/master/config.js) file. - * `{{container-name}}`: The [container name you chose when configuring](js-delivery-hosting-build-script.md) your [`config.js`](https://github.com/mint-metrics/mojito-js-delivery/blob/master/config.js) file. - +- `{{cloudfront-cname}}`: The Cloudfront distribution URL you just set up +- `{{environment}}`: The path to your [production environment as configured](js-delivery-hosting-build-script.md) in your [`config.js`](https://github.com/mint-metrics/mojito-js-delivery/blob/master/config.js) file. +- `{{container-name}}`: The [container name you chose when configuring](js-delivery-hosting-build-script.md) your [`config.js`](https://github.com/mint-metrics/mojito-js-delivery/blob/master/config.js) file. ## Can I install it asynchronously? Theoretically, Mojito can be [installed asynchronously via the async attribute](https://www.w3schools.com/tags/att_script_async.asp). But this is untested and you may encounter race conditions between your JS executing and the available elements on the page: ```html + + ``` If you try this, let us know how it works. Good luck! - ## All done? Now you're all set, you may want to return to the main portion of the documentation. - * [Back to hosting](js-delivery-hosting.md) - * [Back to home](js-delivery-intro.md) +- [Back to hosting](js-delivery-hosting.md) +- [Back to home](js-delivery-intro.md) diff --git a/website/docs/js-delivery-hosting.md b/website/docs/js-delivery-hosting.md new file mode 100644 index 0000000..53468c7 --- /dev/null +++ b/website/docs/js-delivery-hosting.md @@ -0,0 +1,34 @@ +--- +id: js-delivery-hosting +title: Hosting your Mojito split testing container +sidebar_label: Host your container +--- +You own the full source to your Mojito container, so you have unlimited options to host it, including: + +- Bundling Mojito JS with your existing libraries & setting a strong cache policy for the library +- Keeping Mojito JS in a separate library and publishing it to your own web host +- Or if you're like us, host Mojito JS on AWS/Cloudfront with Bitbucket Pipelines for CI + +In any case, you'll benefit from faster page load times & better security by self-hosting Mojito JS. + +## Hosting Mojito JS Delivery on AWS S3 / Cloudfront + +Mint Metrics host Mojito JS containers on Amazon's infrastructure on behalf of clients. It's fast, cheap and reliable. + +### You'll need + +- Amazon AWS account +- (Optional) For web-based CI, host your [Mojito JS](https://github.com/mint-metrics/mojito-js-delivery) repo on [Atlassian Bitbucket](https://bitbucket.org/product) and deploy containers using [Pipelines Build minutes](https://bitbucket.org/product/features/pipelines) + +### Getting set up + +1. [Create an S3 Bucket and Cloudfront distribution to serve Mojito JS from](js-delivery-hosting-s3-cf.md) +2. [Configure your build script's `config.js`](js-delivery-hosting-build-script.md) +3. [Add a user to publish Mojito from your repo to S3](js-delivery-hosting-iam.md) +4. [(Optional) Securely add the Mojito user's credentials to Atlassian Bitbucket for publishing](js-delivery-hosting-bitbucket.md) +5. [Installing Mojito JS in your website or application](js-delivery-hosting-snippet.md) + +## All done? + +- [Back to experiment setup](js-delivery-setup.md) +- [Return to home](js-delivery-intro.md) diff --git a/docs/js-delivery-intro.md b/website/docs/js-delivery-intro.md similarity index 52% rename from docs/js-delivery-intro.md rename to website/docs/js-delivery-intro.md index fa7a40c..8333762 100644 --- a/docs/js-delivery-intro.md +++ b/website/docs/js-delivery-intro.md @@ -3,29 +3,28 @@ id: js-delivery-intro title: Introduction to Mojito JS Delivery sidebar_label: Introduction --- - -The ```Mojito JS Delivery``` component is a lightweight (<5kb) JS framework for building, publishing and tracking experiments on the web. Commonly known as A/B split testing, experimentation is a core pillar of Conversion Rate Optimisation. +The `Mojito JS Delivery` component is a lightweight (<5.5kb) JS framework for building, publishing and tracking experiments on the web. Commonly known as A/B split testing, experimentation is a core pillar of Conversion Rate Optimisation.

Mojito delivery module

## Prerequisites -- Make sure you have [Node](https://nodejs.org/en/download/) and [npm](https://www.npmjs.com/) installed +- Make sure you have [Node](https://nodejs.org/en/download/), [npm](https://www.npmjs.com/) and [Gulp CLI](https://gulpjs.com/) installed ## Getting setup -1. Fork this repository on GitHub -2. Clone your forked repository (not this original one) to your local environment -3. Install the necessary NPM packages: ```npm install``` +1. Fork this repository on GitHub +2. Clone your forked repository (not this original one) to your local environment +3. Install the necessary NPM packages: `npm install` ## Creating and launching experiments Get up and running with Mojito experiments in 4 steps: -1. [Experiment setup](#step-1-experiment-setup) -2. [Customisation and tracking](#step-2-customisation-and-tracking) -3. [Build container, preview and launch](#step-3-build-container-preview-and-launch) -4. [Hosting and publishing](#step-4-hosting-and-publishing) +1. [Experiment setup](#step-1-experiment-setup) +2. [Customisation and tracking](#step-2-customisation-and-tracking) +3. [Build container, preview and launch](#step-3-build-container-preview-and-launch) +4. [Hosting and publishing](#step-4-hosting-and-publishing) ### Step 1. Experiment setup @@ -55,12 +54,12 @@ Host your container and automate the publishing process using CI. Data storage and analysis are contained in separate Mojito modules which can be customised and/or switched out as needed. -1. **Storage**: Data collection modules and data modelling steps to power your reports. e.g. [Mojito Snowplow Storage](https://github.com/mint-metrics/mojito-snowplow-storage) -2. **Analytics**: Tools to measure & report on the effects caused by your treatments. e.g. [Mojito R Analytics](https://github.com/mint-metrics/mojito-r-analytics) +1. **Storage**: Data collection modules and data modelling steps to power your reports. e.g. [Mojito Snowplow Storage](https://github.com/mint-metrics/mojito-snowplow-storage) +2. **Analytics**: Tools to measure & report on the effects caused by your treatments. e.g. [Mojito R Analytics](https://github.com/mint-metrics/mojito-r-analytics) ## Get involved Let us know if you encounter any issues and reach out to us if you need a hand getting set up. -* [Open an issue on Github](https://github.com/mint-metrics/mojito-js-delivery/issues/new) -* [Mint Metrics' website](https://mintmetrics.io/) \ No newline at end of file +- [Open an issue on Github](https://github.com/mint-metrics/mojito-js-delivery/issues/new) +- [Mint Metrics' website](https://mintmetrics.io/) diff --git a/website/docs/js-delivery-preview-launch.md b/website/docs/js-delivery-preview-launch.md new file mode 100644 index 0000000..74f5f31 --- /dev/null +++ b/website/docs/js-delivery-preview-launch.md @@ -0,0 +1,106 @@ +--- +id: js-delivery-preview-launch +title: Previewing & launching experiments with Mojito JS Delivery +sidebar_label: Preview & launch a test +--- +## Building the JS container + +Whenever you make changes to experiments in Mojito, you need to build/publish your container. + +1. (Optional) Customise your Mojito container name in [`repo/config.js`](https://github.com/mint-metrics/mojito-js-delivery/blob/master/config.example.js) +2. If you haven't done so already, install the necessary NPM packages: `npm install` +3. Build your Mojito container: `gulp build` + +## Previewing experiments + +You can force either our Chrome Extension or manually through URL parameters. + +### 1. Mojito Chrome Inspector + +![Mojito Chrome Extension for preview mode](/img/js-delivery/chrome-preview-tool.png) + +The extension works in the background to detect Mojito and any experiments on the page. It was designed with performance in mind and to keep tucked out of the way, in Developer tools. + +Features: + +- New: Dark mode support +- Detect if Mojito is installed and running on the page +- See how many active experiments are running on the page +- Preview a test's recipes + +#### Add it to Chrome + +[Visit the Chrome Web Store to install](https://chrome.google.com/webstore/detail/mojito-chrome-inspector/pogeofjajfmbkkbkpddgjfnadkajidpl) the official extension. + +[![Add to Chrome](/img/js-delivery/chrome-web-store.png)](https://chrome.google.com/webstore/detail/mojito-chrome-inspector/pogeofjajfmbkkbkpddgjfnadkajidpl) + +### 2. Force URL parameters + +To preview a variant of an experiment, you can force it by URL query parameters: + +`mojito_{id}={variant_id}` + +| Token |   | +| --------------------- | ----------------------------- | +| `{id}` | Experiment id to be previewed | +| `{variant_id}` | Recipe/variant id to render | + +#### Example + +`https://mywebsite.com/?mojito_ex2=1` + +This forces the treatment variant of our [simple experiment](js-delivery-setup.md#yaml-setup) to be displayed on `mywebsite.com`. + +### Notes + +- Forced variants **will** respect experiment trigger activation conditions + +- Forced variants **will not** respect an experiment's `state`, i.e. forcing works in both live and staging mode + +- Multiple experiments can be forced at the same time by stringing URL parameters, e.g. `https://mywebsite.com/?mojito_w1=1&mojito_w2=1` + +- Forcing variants will cookie you to that variant across pages and sessions, except when a test's `state` is in `divert` mode. To return to the control variant, you can: + + - Force the control variant using URL parameters as above, + + - Or delete the cookie: `_mojito_{id}-staging` + +## Launch & takedown + +For most of the time you'll be building an experiment and QAing it in `staging` mode. But when it's ready to launch, you'll need to set it to allow traffic to be bucketed: + +### Launch + +To launch an experiment, set its `state` parameter to `live` and check that `sampleRate` is set to a value greater than 0. E.g. `0.1` for 10% or `1` for 100%. All of this can be handled on the command line: + +```sh + +# Launch "ex1" to 10% of traffic, build and publish to production +gulp set --live ex1 --traffic 0.1 +gulp build +gulp publish --production + +``` + +### Takedown + +To takedown an experiment, set its `state` parameter to `staging` (to keep the test in the container) or `inactive` (to archive the test from the container). + +```sh + +# Takedown "ex1", build and publish with the updated logic +gulp set --inactive ex1 +gulp build +gulp publish --production + +``` + +[Read more about experiment parameters](js-delivery-setup.md#experiment-parameters). + +Following any changes, you’ll need to [build](#building-the-js-container) and publish your container. + +## Next steps + +To use Mojito in a production site, you'll likely need to host the container on a CDN before including it in your site's header. [Find out more about hosting and publishing](js-delivery-hosting.md). + +You might also want to check out [Mojito's JS utilities](js-delivery-utilities.md) that are handy to get around some common experiment setup issues. diff --git a/docs/js-delivery-setup-js.md b/website/docs/js-delivery-setup-js.md similarity index 88% rename from docs/js-delivery-setup-js.md rename to website/docs/js-delivery-setup-js.md index a1a4738..63e8128 100644 --- a/docs/js-delivery-setup-js.md +++ b/website/docs/js-delivery-setup-js.md @@ -3,7 +3,6 @@ id: js-delivery-setup-js title: Setting up experiments with the JS method sidebar_label: 1. JS setup method --- - Get started by creating a file in your repository: `repo/lib/waves/ex1/test-object.js` @@ -11,6 +10,7 @@ Get started by creating a file in your repository: Define experiment parameters in an object that's passed into `Mojito.addTest()`, like so: ```js + Mojito.addTest({ id: 'ex1', name:'Google message straight JS', @@ -34,6 +34,7 @@ Mojito.addTest({ } } }); + ``` That's all there is to this experiment. Many of the parameter keys and values are self explanatory, and we'll explore them in [more detail](js-delivery-setup-shared-parameters.md) after looking at the **YAML** approach. @@ -44,6 +45,6 @@ This test object will execute the trigger function as soon as `Mojito.addTest()` ## Next steps -1. [Setup a test using the YAML / CLI method](js-delivery-setup-yaml.md) -2. [Move on to experiment shared code](js-delivery-setup-shared-parameters.md) -3. [Setup your tracking & utilities](js-delivery-customisation.md) +1. [Setup a test using the YAML / CLI method](js-delivery-setup-yaml.md) +2. [Move on to experiment shared code](js-delivery-setup-shared-parameters.md) +3. [Setup your tracking & utilities](js-delivery-customisation.md) diff --git a/website/docs/js-delivery-setup-shared-parameters.md b/website/docs/js-delivery-setup-shared-parameters.md new file mode 100644 index 0000000..38d0ed2 --- /dev/null +++ b/website/docs/js-delivery-setup-shared-parameters.md @@ -0,0 +1,146 @@ +--- +id: js-delivery-setup-shared-parameters +title: Experiment shared code & other test parameters +sidebar_label: Parameters & shared code +--- +Your JS and CSS can have a shared scope within an experiment. E.g. two treatment variants might have some styling commonalities. We can reduce repeated code by sharing common elements across variants. + +In the examples below, we'll use the [YAML method](js-delivery-setup-yaml.md). However the same keys and methods will work for the [JS method](js-delivery-setup-js.md). + +## Shared JS + +Setup instructions: + +1. Create a JS file containing shared code in an experiment's directory e.g. `repo/lib/waves/mytest/shared.js` +2. In `config.yml`, point the root level `js` key to the file +3. Any variant can now reference code within the shared JS through `{{testObject}}.options.js()` + +As an example, you should have: + +`repo/lib/waves/mytest/shared.js`: + +```js + +function shared() +{ + return { + sharedFn: function() { + //do something + }, + sharedVal: 'something' + ... + } +} + +``` + +`repo/lib/waves/mytest/config.yml`: + +```yml + +js: shared.js +id: mytest +name: My example test +sampleRate: 1 +state: staging +trigger: trigger.js +recipes: + 0: + name: Control + 1: + name: Treatment1 + js: treatment1.js + 2: + name: Treatment2 + js: treatment2.js + +``` + +`repo/lib/waves/mytest/treatment1.js`: + +```js + +// pass in the 'test' object into the treatment function +function treatment1(test) { + // call shared functions using dot notation + var sharedObject = test.options.js(); + sharedObject.sharedFn(); + // ... other transformations +} + +``` + +`repo/lib/waves/mytest/treatment2.js`: + +```js + +// pass in the 'test' object into the treatment function +function treatment2(test) { + // call shared functions using dot notation + var sharedObject = test.options.js(); + sharedObject.sharedFn(); + // ... other transformations +} + +``` + +## Shared CSS + +Setup instructions: + +1. Create a CSS file containing shared CSS in an experiment's directory +2. In `config.yml`, point the root level `css` key to the file + +Shared CSS is injected into the document when the test is activated, regardless of the variant (including the "Control"), so be sure to scope your shared CSS properly. + +`repo/lib/waves/mytest/shared.css`: + +```css + +.myClass { + color: blue; + padding: 10px 10px; +} + +``` + +`repo/lib/waves/mytest/config.yml`: + +```yml + +css: shared.css +id: mytest +name: My example test +sampleRate: 1 +state: staging +trigger: trigger.js +recipes: + 0: + name: Control + 1: + name: Treatment2 + js: treatment1.js + 2: + name: Treatment2 + js: treatment2.js + +``` + +## Experiment parameters + +Important experiment parameters to understand are: + +| Parameter key | Values | Description | +| ------------------- | ------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| `state` | `live` or `staging` or `inactive` | Controls the status of the experiment. `staging` means the experiment is disabled from normal visitors but able to be [previewed](js-delivery-preview-launch.md). `inactive` means the experiment will be ignored during build but remain in your repo for reference. | +| `sampleRate` | Float between `0` and `1` | Controls portion of overall traffic to be allocated to the experiment. `0` = 0%, `1` = 100%. | +| `id` | A string | Identifier used for analytics/reporting and forcing variants in preview mode. | +| `recipe` | A nested list | Defines experiment variants and their parameters.
`{recipeId}`: _A string: variant indentifier_
    `name: {recipeName}` _A string: descriptive variant name_
    `js: {recipe.js}` _Variant JS filename(optional)_
    `css: {recipe.css}` _Variant CSS filename (optional)_
    `sampleRate: {float between 0 and 1}` _Controls portion of experiment traffic to allocate to variant (optional)_ | +| `trigger` | `{trigger.js}` | Experiment trigger JS filename. | +| `divertTo` | `{recipeId}` | Allows diverting 100% of traffic to a specific variant. Handy when you have found a winner and want to temporarily divert traffic to it. | + +Learn more [about the test object keys here](js-delivery-test-object.md) or review the [`config-template.yml` template on Github](https://github.com/mint-metrics/mojito-js-delivery/blob/master/config-template.yml) + +## Next steps + +Time to [make sure you're tracking it effectively](js-delivery-customisation.md). diff --git a/docs/js-delivery-setup-yaml.md b/website/docs/js-delivery-setup-yaml.md similarity index 88% rename from docs/js-delivery-setup-yaml.md rename to website/docs/js-delivery-setup-yaml.md index cf846f0..f0be4c2 100644 --- a/docs/js-delivery-setup-yaml.md +++ b/website/docs/js-delivery-setup-yaml.md @@ -3,19 +3,21 @@ id: js-delivery-setup-yaml title: Setting up experiments with the YAML method sidebar_label: 2. YAML setup method --- - To setup our example experiment, start by defining it on the command line: ```sh -gulp new -ab ex1 + +gulp new -ab ex2 + ``` This will create a scaffold of your experiment under `repo/lib/waves/ex2/config.yml`. Now you can configure the test parameters in YAML: ```yml + state: live sampleRate: 1 -id: ex1 +id: ex2 name: Google message straight JS recipes: '0': @@ -24,43 +26,50 @@ recipes: name: Treatment js: 1.js trigger: trigger.js + ``` -*Look familiar?* +_Look familiar?_ Each key here maps directly to a key in the object we saw in the straight JS setup. Values are also mapped identically, except any JS/CSS are declared as file names that point to files which you'll create in the same directory as `config.yml`. `repo/lib/waves/ex2/trigger.js` contains trigger/activation code: ```js + function trigger(test){ // Only activate and bucket users into the experiment if they come from Google // (Runs as soon as the container is loaded) if (document.referrer.indexOf('google.com') > -1) test.activate(); } + ``` `repo/lib/waves/ex2/1.js` contains variant code for variant number `1`: ```js + function treatment(){ // This code will run once the test activates & the user is bucketed alert('Hi Google user!'); } + ``` Your experiment directory should look like: ``` -ex1/ + +ex2/ |-- 1.js |-- config.yml |-- trigger.js + ``` With these files defined, the gulp builder will construct an experiment object resembling what we saw in the straight JS setup and stitch it into the container along with `mojito.js`. ## Next steps -1. [Move on to experiment shared code](js-delivery-setup-shared-parameters.md) -2. [Setup your tracking & utilities](js-delivery-customisation.md) +1. [Move on to experiment shared code](js-delivery-setup-shared-parameters.md) +2. [Setup your tracking & utilities](js-delivery-customisation.md) diff --git a/website/docs/js-delivery-setup.md b/website/docs/js-delivery-setup.md new file mode 100644 index 0000000..11c1e64 --- /dev/null +++ b/website/docs/js-delivery-setup.md @@ -0,0 +1,37 @@ +--- +id: js-delivery-setup +title: Setting up experiments with Mojito JS Delivery +sidebar_label: Two supported methods +--- +There are two approaches to setup experiments in Mojito. The **gulp** builder supports both methods when building the JS container. + +1. **[Straight JS](js-delivery-setup-js.md)**: define experiment parameters, trigger code and variant code in a single JS file: `test-object.js` + +2. **[YAML / CLI _(recommended)_](js-delivery-setup-yaml.md)**: define experiment parameters in a YAML file: `config.yml`. All JS and CSS are separated into individual files. + +## Why we recommend YAML / CLI + +- **Easiest to read & setup**: YAML makes your experiment configuration easy to read & manage + +- **Easier to develop experiments**: Separating JS & CSS is good practice; great for debugging & syntax highlighting + +- **Automatic variant code minification**: The YAML build path minifies & lints your variant code to minimise container weight + +- **Superior code portability**: Send winning variant code to your developers for permanent implementation - your code is separated, linted and ready to share + +## We'll setup the following test using both methods: + +The parameters of the test will be: + +| Parameter |   | +| ----------------- | ----------------------------------------------- | +| Trigger | Activate when users enter your site from google | +| Control variant | No change | +| Treatment variant | Alert the user with a simple message | + +Even though we recommend the YAML method, you may find it beneficial to see a **straight JS** setup, as it better reflects how Mojito works under the hood. + +## Next steps + +1. [Setup a test using the JS method](js-delivery-setup-js.md) +2. [Setup a test using the YAML / CLI method](js-delivery-setup-yaml.md) diff --git a/website/docs/js-delivery-test-object.md b/website/docs/js-delivery-test-object.md new file mode 100644 index 0000000..4debd31 --- /dev/null +++ b/website/docs/js-delivery-test-object.md @@ -0,0 +1,125 @@ +--- +id: js-delivery-test-object +title: Test object parameter reference in Mojito JS Delivery +sidebar_label: Test object parameters +--- +The test object contains everything an experiment needs to run, including the trigger, tracking information and recipe code (or variants). When you pass all this information into the `Mojito.addTest()` function, Mojito will execute all the logic in your experiment based on its order of execution. + +## Example test objects in `JS` & `YAML` formats + +JavaScript + +```js + +Mojito.addTest({ + "id": "w12", + "name": "Example test", + "divertTo": "1", + "sampleRate": 1, + "state": "live", + "gaExperimentId": "dsdy2h872g7d32h782n2", + "trigger": function (testObject) { + if (document.location.pathname === "/") { + // Activate the test at DOM Content Loaded + Mojito.utils.domReady(testObject.activate); + } + }, + "recipes": { + "0": { + "name": "control" + }, + "1": { + "name": "treatment", + "js": function(testObject) { + alert("You're in an experiment..."); + }, + "css": "body{display:none;}" + } + } +}); + +``` + +YAML + +```yml + +id: w12 +name: Example test +divertTo: "1" +sampleRate: 1 +state: live +gaExperimentId: dsdy2h872g7d32h782n2 +trigger: trigger.js +recipes: + "0": + name: control + "1": + name: treatment + js: 1.js + css: 1.css + +``` + +YAML trigger.js + +```js + +function trigger(testObject) { + if (document.location.pathname === "/") { + // Activate the test at DOM Content Loaded + Mojito.utils.domReady(testObject.activate); + } +} + +``` + +YAML 1.js + +```js + +function(testObject) { + alert("You're in an experiment..."); +} + +``` + +YAML 1.css + +```css + +body { + display:none; +} + +``` + + +## Test object: Root level + +| Parameter | Description | +| ------------------------------------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| **css**
Type: _string_
_Optional_ | Shared CSS for the test object that is applied to all recipes.
`JS format`: Expects a JS string of CSS styles.
`YAML format`: Expects a relative path to a CSS file. | +| **divertTo**
Type: _string_
_Optional_ | Enable divert mode to send all eligible traffic into a particular recipe's key. | +| **id**
Type: _string_
_Required_ | A canonical test object ID by which subjects' assignments are recorded against. | +| **js**
Type: _function/object_
_Optional_ | Shared JS function or object for the test object that is applied to all recipes.
`JS format`: Expects a valid JavaScript function on this key.
`YAML format`: Expects a relative path to a JS file with that function/object. | +| **name**
Type: _string_
_Required_ | The name of the test object that's useful in tracking. | +| [**recipes**](#recipes-object)
Type: _object_
_Required_ | An object containing the definition of available recipes. [See object definition](#recipes-object) | +| **sampleRate**
Type: _number_
_Required_ | The percentage of traffic to assign into the experiment between 0 and 1 (where 1 is 100%) | +| **state**
Type: _string_
_Required_ | A test object's state. Can be either:
`live` - in the container, accepting traffic into the experiment
`staging` - built into the container but not accepting traffic without a preview URL
`inactive` - not parsed or built into the container | +| **trigger**
Type: _function_
_Required_ | A JavaScript function executed as soon as the test object is loaded and can be used to conditionally activate an experiment.
`JS format`: Expects a valid JavaScript function on this key.
`YAML format`: Expects a relative path to a JS file with that function. | + +## Recipes object + +| Parameter | Description | +| --------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| [**{"{"}{"{"}recipeId{"}"}{"}"}**](#recipe-objects-sub-level)
Type: _string_
_Required_ | The canonical key that references a test object within the cookies and preview URLs. [See object definition](#recipe-objects-sub-level). E.g. A `recipeID` of `a` would be accesible through a preview URL like: `https://www.example.com/?mojito_w12=a` | + +## Recipe objects sub-level + +| Parameter | Description | +| -------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| **css**
Type: _string_
_Optional_ | CSS that is applied as soon as the subject is bucketed.
`JS format`: Expects a JS string of CSS styles.
`YAML format`: Expects a relative path to a CSS file. | +| **js**
Type: _function_
_Optional_ | A JavaScript function that runs as soon as a subject is assigned into the test.
`JS format`: Expects a valid JavaScript function on this key.
`YAML format`: Expects a relative path to a JS file with that function. | +| **name**
Type: _string_
_Required_ | The name of the recipe used in tracking & reporting. | +| **sampleRate**
Type: _number_
_Optional_ | Allows users to set the proportion of traffic allocated to each recipe. This property expects a value between `0` and `1` and requires all recipes' provided sample rates to add up to `1`. | diff --git a/docs/js-delivery-upgrading.md b/website/docs/js-delivery-upgrading.md similarity index 64% rename from docs/js-delivery-upgrading.md rename to website/docs/js-delivery-upgrading.md index 39b3533..eb86860 100644 --- a/docs/js-delivery-upgrading.md +++ b/website/docs/js-delivery-upgrading.md @@ -3,7 +3,6 @@ id: js-delivery-upgrading title: Upgrade your Mojito split testing container to the latest version sidebar_label: Upgrade Mojito --- - An open-source split testing tool has real benefits - like being able to choose which updates to install, when. No third-parties will be making unwanted modifications to your site's JS. Here's two upgrade paths for your Mojito A/B testing repo: @@ -12,73 +11,82 @@ Here's two upgrade paths for your Mojito A/B testing repo: This is our recommended upgrade path for Mojito because it allows for easy upgrades all from the command line: -1. Navigate to your Mojito container's git repo on your local machine and checkout a new branch. It's best to merge your upgrade into its own branch, where you can properly test it, before you eventually merge it into your staging/production branches. +1. Navigate to your Mojito container's git repo on your local machine and checkout a new branch. It's best to merge your upgrade into its own branch, where you can properly test it, before you eventually merge it into your staging/production branches. ```shell + $ git branch upgrading-mojito $ git checkout upgrading-mojito + ``` -2. Check your remotes to see that you haven't already set an `upstream` remote: +2. Check your remotes to see that you haven't already set an `upstream` remote: ```shell + $ git remote -v origin git@github.com:kingo55/mojito-js-delivery.git (fetch) origin git@github.com:kingo55/mojito-js-delivery.git (push) + ``` -3. Add `git@github.com:mint-metrics/mojito-js-delivery.git` as your upstream remote: +3. Add `git@github.com:mint-metrics/mojito-js-delivery.git` as your upstream remote: ```shell + $ git remote add upstream git@github.com:mint-metrics/mojito-js-delivery.git $ git remote -v origin git@github.com:kingo55/mojito-js-delivery.git (fetch) origin git@github.com:kingo55/mojito-js-delivery.git (push) upstream git@github.com:mint-metrics/mojito-js-delivery.git (fetch) upstream git@github.com:mint-metrics/mojito-js-delivery.git (push) + ``` -4. Fetch any updates from `upstream` to ensure you're looking at the most up to date version of Mojito. +4. Fetch any updates from `upstream` to ensure you're looking at the most up to date version of Mojito. ```shell + $ git fetch upstream From github.com:mint-metrics/mojito-js-delivery * [new branch] master -> upstream/master + ``` -5. Finally, merge the changes from `upstream/master` into your current branch. +5. Finally, merge the changes from `upstream/master` into your current branch. - - Note: If you get an error such as "fatal: refusing to merge unrelated histories" you likely need to run the merge command with unrelated histories allowed: `git merge upstream/master --allow-unrelated-histories` + - Note: If you get an error such as "fatal: refusing to merge unrelated histories" you likely need to run the merge command with unrelated histories allowed: `git merge upstream/master --allow-unrelated-histories` ```shell + $ git merge upstream/master Already up to date. -``` -6. You may encounter some merge conflicts, but you can handle those easily within your favourite IDE. Just be sure not to overwrite any changes to your active experiments, shared code or config files. +``` +6. You may encounter some merge conflicts, but you can handle those easily within your favourite IDE. Just be sure not to overwrite any changes to your active experiments, shared code or config files. ### Useful git resources An understanding of git will certainly come in handy as you manage and maintain your Mojito split testing repo. Atlassian's guides to `git` are amongst the clearest I've found: - - [Working with forks and upstream repos](https://www.atlassian.com/git/tutorials/git-forks-and-upstreams) - - [Managing merge conflicts in git](https://www.atlassian.com/git/tutorials/using-branches/merge-conflicts) - +- [Working with forks and upstream repos](https://www.atlassian.com/git/tutorials/git-forks-and-upstreams) +- [Managing merge conflicts in git](https://www.atlassian.com/git/tutorials/using-branches/merge-conflicts) ## Upgrading manually If you can establish the files that have changed, you can also just download the latest repo from `git@github.com:mint-metrics/mojito-js-delivery.git` and copy the files over to your own Mojito repo. Usually, you will want to make sure the following files are not modified or removed in anyway: ```text + config.js lib/shared-code.js lib/waves/* + ``` You can still compare the changes with git but this approach is largely untested and may be more prone to user error. Whilst this approach works, we don't normally recommend it. - ## Getting stuck? Reach out to us through an [issue on Github](https://github.com/mint-metrics/mojito-js-delivery/issues/new) or via [the Mint Metrics' site](https://mintmetrics.io/contact/). diff --git a/website/docs/js-delivery-utilities.md b/website/docs/js-delivery-utilities.md new file mode 100644 index 0000000..114f675 --- /dev/null +++ b/website/docs/js-delivery-utilities.md @@ -0,0 +1,207 @@ +--- +id: js-delivery-utilities +title: Utility functions in Mojito JS Delivery +sidebar_label: Utility functions +--- +We've baked a series of utility functions into Mojito which we think are handy for a wide range of experiments. We often encounter race conditions or are waiting for an element to exist before we can do something on the page. These utilities will allow you to overcome the majority of these issues. + +## Table of contents + +- [`Mojito.utils.domReady()`](#mojitoutilsdomready) - detect when DOM Content Loaded. +- [`Mojito.utils.waitForElement()`](#mojitoutilswaitforelement) - wait for a single element to exist before performing an action. +- [`Mojito.utils.waitUntil()`](#mojitoutilswaituntil) - wait until a condition is satisfied before performing an action. +- [`Mojito.utils.observeSelector()`](#mojitoutilsobserveselector) - wait for elements to exist before performing an action. +- [`Mojito.utils.watchElement()`](#mojitoutilswatchelement) - watch for element mutations before performing an action. + +## Mojito.utils.domReady() + +### Description + +A polyfill method to detect DOM Content Loaded, inspired by https:. Often used in trigger functions to delay activation until the DOM is ready. + +### Syntax + +`Mojito.utils.domReady(callback);` + +| Parameter |   | +| -------------------------------------------------- | -------------------------------------------------- | +| **callback** Type: _function_ _Required_ | A function that's executed when the DOM is loaded. | + +| Return value |   | +| ---------------- | ---------------------------------------------------- | +| Type: _function_ | This function returns itself, allowing for chaining. | + +### Example + +Imagine you place the Mojito library inside the page header, but you need to Manipulate the DOM further down the page, you can delay experiment activation until DOM Content Loaded has fired. + +```js +function(test){ + // If users are from Google, wait until Mojito.domReady() fires before activation + if (document.referrer.indexOf('google.com') > -1) Mojito.utils.domReady(function(){ + test.activate(); + }) +} +``` + +## Mojito.utils.waitForElement() + +### Description + +A function that executes a callback once the first selected DOM element is detected on the page. Under the hood, it's a simple wrapper of `Mojito.utils.observeSelector()`. Commonly used to wait for a specific element to exist before manipulating it or activating an experiment. + +### Syntax + +`Mojito.utils.waitForElement(selector, callback, timeout);` + +| Parameter |   | +| ---------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| **selector** Type: _CSS selector_ _Required_ | A CSS selector specifying the DOM element to wait for. | +| **callback** Type: _function_ _Required_ | A function that's executed once first matched element exists. | +| **timeout** Type: _integer_ or _null_ _Optional_ | Time in milliseconds which the function will wait for the selected element to exist. Defaults to `Mojito.options.defaultWaitTimeout` (2000ms by default). Set to `null` for no timeout. | + +| Return value |   | +| ------------ | - | +| N/A |   | + +### Example + +Let's say you are transforming many elements on a page and one of the elements is injected by another script some time after DOM Content Loaded. We can delay activation until the moment the element gets injected. + +```js +function(test){ + // Wait up to 4 seconds for an element to exist before activating experiment + Mojito.utils.waitForElement('.someDelayedElement', test.activate, 4000); +} +``` + +## Mojito.utils.waitUntil() + +### Description + +A utility that executes a callback once a polled condition function returns true. Commonly used to run functions off the back of actions or changes on a page that can be detected with JS. + +### Syntax + +`Mojito.utils.waitUntil(conditionFunction, callback, timeout);` + +| Parameter |   | +| ----------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| **conditionFunction** Type: _function_ _Required_ | A function that returns a boolean. `true` if a condition is matched and `false` if a condition not yet matched. | +| **callback** Type: _function_ _Required_ | A function that's executed once **conditionFunction** returns `true` | +| **timeout** Type: _integer_ _Optional_ | Total time in milliseconds which the function will poll the **conditionFunction**. Defaults to `Mojito.options.defaultWaitTimeout` (2000ms by default). Polling interval defaults to `Mojito.options.waitInterval` (50ms by default). | + +| Return value |   | +| ------------ | - | +| N/A |   | + +### Example + +Imagine that your experiment leverages a JS framework, e.g. jQuery, but Mojito is loaded before the framework. Premature activation will likely result in JS errors on the jQuery calls. We can delay the experiment from activating until jQuery has been included on the page. + +```js +function(test){ + // Wait until jQuery exists on the page before activating + Mojito.utils.waitUntil(function() { + if(window.jQuery) { + return true; + } + else { + return false; + } + }, test.activate); +} +``` + +## Mojito.utils.observeSelector() + +### Description + +A wrapper of [MutationObserver](https://developer.mozilla.org/en-US/docs/Web/API/MutationObserver/observe) which is set to only observe the selected element being added to the DOM, and executing a callback once that happens. Commonly used to detect and manipulate elements that are dynamically injected independent of initial page load. + +### Syntax + +`Mojito.utils.observeSelector(selector, callback, options);` + +| Parameter |   | +| ------------------------------------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| **selector** Type: _CSS Selector_ _Required_ | A CSS selector specifying the DOM element to observe. | +| **callback** Type: _function_ _Required_ | A function that's executed once the matched element is added to the page. The first argument of the function is the matched element. | +| **options** Type: _object_ _Optional_ | Three options can be specified: `timeout` - Type: _integer or null_ - Time in milliseconds to observe. Defaults to `null` (no timeout). `once` - Type: _boolean_ - If `true`, callback is invoked only on the first match, if `false` (default), callback is invoked on every match. `onTimeout` - Type: _function_ - Callback function if timeout is specified and no elements matched within given timeout. | + +| Return value |   | +| ------------ | - | +| N/A |   | + +### Example + +Imagine you have a list of cross sell products on an ecommerce product page. You want to experiment with the styling of some of the products but its DOM elements are intermittently destroyed and created by some third party script. MutationObservers are an ideal way to deal with this scenario. + +```js +function treatment() { + function styleProduct(element) { + // do some styling to certain products + } + // observe cross sell item nodes and style + Mojtio.utils.observeSelector('#crossSellList .crossSellItem', styleProduct); +} +``` + +## Mojito.utils.watchElement() + +### Description + +A wrapper of [MutationObserver](https://developer.mozilla.org/en-US/docs/Web/API/MutationObserver/observe) which can be customised to observe specific mutations on the selected element, and executing a callback once the mutation(s) occur. Useful to detect DOM text node changes or attribute changes. + +### Syntax + +`Mojito.utils.watchElement(selectorOrElement, callback, options);` + +| Parameter |   | +| ------------------------------------------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| **selectorOrElement** Type: _CSS Selector or DOM element_ _Required_ | A CSS selector or DOM element specifying the element to watch. | +| **callback** Type: _function_ _Required_ | A function that's executed once the matched element changes. The first argument of the function is an array of [`MutationRecord`s](https://developer.mozilla.org/en-US/docs/Web/API/MutationRecord). | +| **options** Type: _object_ _Optional_ | An optional [`MutationObserverInit`](https://developer.mozilla.org/en-US/docs/Web/API/MutationObserverInit) object providing options that describe what DOM mutations should be reported. Defaults: `{ childList: true, subtree: true, characterData: true, attributes: true }` | + +| Return value |   | +| ------------ | - | +| N/A |   | + +### Example + +A DOM element houses intrinsic data via an attribute. You want to experiment with manipulating the element based on the attribute value but it's subject to dynamic updates from a third party script. Variant code will need to be able to handle when these values change. + +```js +function treatment() { + var priceElement = document.getElementById('foo'); + + function transformElement(mutations) { + // do something to the element + } + + Mojito.utils.watchElement(element, transformElement, + { + // only watch for specific attribute changes + childList: false, + subtree: false, + characterData: false, + attributes: true, + attributeFilter: ['data-unit-price-val'] + } + ); +} +``` + +## All done? + +You may want to return to the main portion of the documentation. + +- [Back to experiment setup](js-delivery-setup.md) +- [Back to home](js-delivery-intro.md) + +## Get involved + +We'd be keen to see some PRs and your suggestions for additional functionality we can add to the Mojito utilities library! + +- [Open an issue on Github](https://github.com/mint-metrics/mojito-js-delivery/issues/new) +- [Mint Metrics' website](https://mintmetrics.io/) diff --git a/docs/r-analytics-intro.md b/website/docs/r-analytics-intro.md similarity index 62% rename from docs/r-analytics-intro.md rename to website/docs/r-analytics-intro.md index 254e580..82a2910 100644 --- a/docs/r-analytics-intro.md +++ b/website/docs/r-analytics-intro.md @@ -3,7 +3,6 @@ id: r-analytics-intro title: Mojito R Analytics Overview sidebar_label: Introduction --- - This component allows you to create fully-templateable experiment reports for Mojito Snowplow/Redshift, using R Markdown and HTML. ![Mojito report](/img/reports.png) @@ -12,51 +11,58 @@ This component allows you to create fully-templateable experiment reports for Mo ## Features - - Measure tests against a series of configurable metrics - - Measure changes in time to convert - - Goal counts / conversion depth reports for measuring frequency / user loyalty (e.g. user transacted 2 or more times) - - Diagnostic functions check for [assignment problems (SRM test)](https://twitter.com/ronnyk/status/932798952679776256?lang=en) and [experiment errors](https://mintmetrics.io/experiments/why-you-need-error-tracking-handling-in-your-split-tests/) +- Measure tests against a series of configurable metrics +- Measure changes in time to convert +- Goal counts / conversion depth reports for measuring frequency / user loyalty (e.g. user transacted 2 or more times) +- Diagnostics to check for [SRM issues](https://lukasvermeer.nl/srm/docs/faq/#what-is-sample-ratio-mismatch) and [variant code errors](https://mintmetrics.io/experiments/why-you-need-error-tracking-handling-in-your-split-tests/) ## Prerequisites -- RStudio installed -- Snowplow with Redshift as a Storage target -- Exposure & Conversion tables generating properly +- RStudio installed +- Snowplow with Redshift as a Storage target +- Exposure & Conversion tables generating properly ## Getting setup **1. Create a reports folder with the following files inside:** -1. The [Knitr report template](https://github.com/mint-metrics/mojito-r-analytics/blob/master/wave_report.Rmd) -2. The [Mojito functions R files](https://github.com/mint-metrics/mojito-r-analytics/tree/master/mojito-functions) -3. (Optional) A script to connect to your Redshift instance (must store the connection in the ```con``` variable) +1. The [Knitr report template](https://github.com/mint-metrics/mojito-r-analytics/blob/master/wave_report.Rmd) +2. The [Mojito functions R files](https://github.com/mint-metrics/mojito-r-analytics/tree/master/mojito-functions) +3. (Optional) A script to connect to your Redshift instance (must store the connection in the `con` variable) As an example, your reports directory may resemble: - - `{{Department/Project/Client}}`_name/ - - mojito-functions/`{{reports version}}`/ - - reports.R - - plots.R - - ... - - wave_report_`{{Wave number}}`.Rmd - - wave_report_`{{Wave number + 1}}`.Rmd - - ... +- `{{Department/Project/Client}}`\_name/ + - mojito-functions/`{{reports version}}`/ + - reports.R + - plots.R + - ... + - wave_report_`{{Wave number}}`.Rmd + - wave_report_`{{Wave number + 1}}`.Rmd + - ... **2. Next, install the R dependencies if you don't already have them:** ```R + # Used for generating the reports -install.packages(c("ggplot2", "scales", "reshape", "ztable", "dplyr")) +install.packages(c("ggplot2", "scales", "reshape", "ztable", "dplyr", "jsonlite")) # Used for connecting to Redshift via RJDBC install.packages("RJDBC") + ``` +**3. Install `pngquant` for image compression (recommended due to the large uncompressed images outputted by `ggplot2` and `knitr`)** + +See the [pngquant website for instructions](https://pngquant.org/). + ## Create a test report from the knitr template -**1. Ensure the path to the ```Mojito functions``` and Redshift connection script (if needed) are pointing to the right files** +**1. Ensure the path to the `Mojito functions` and Redshift connection script (if needed) are pointing to the right files** ```R + # RDB connection - expose SQL connection through `con` global variable library(RJDBC) .jinit() @@ -68,11 +74,13 @@ con <- dbConnect(driver, paste0("jdbc:redshift://mycluster.redshift.amazonaws.co for (lib in c("reports","plots","tables","queries_snowplow_redshift","experiment_sizing")) { source(paste0("./mojito-functions/",lib,".R")) } + ``` -**2. Update the ```wave_params``` with details of the experiment like its ID, client name, start/end dates, unit and recipe names** +**2. Update the `wave_params` with details of the experiment like its ID, client name, start/end dates, unit and recipe names** ```R + wave_params <- list( # Client name, used for directing R to pull from the correct tables @@ -94,6 +102,7 @@ wave_params <- list( # The recipes included in the test - This is used to order recipes (The control group should show first), or filter treatments out (e.g. leave a recipe out to exclude it) recipes=c("control","treatment") ) + ``` **3. Define a list of metrics for use in the report** @@ -101,6 +110,7 @@ wave_params <- list( Metrics can be defined in a list and the report builder will iterate through each metric: ```R + goalList <- list( list( title = "Transactions", @@ -109,6 +119,7 @@ goalList <- list( ) ) goalList <- mojitoFullKnit(wave_params = wave_params, goal_list = goalList) + ``` ## Debugging @@ -118,13 +129,15 @@ Like all Rmarkdown templates, you can step through the code in the report to mak If you hit any problems, you may like to run this command to show the last query run before the reports failed: ```R + cat(last_query) + ``` Likely causes to why the query / report failed: -1. Recipe names in report differ from those used in the knit's ```wave_params``` list -2. Dates may be wrong or not ISO8601 compatible +1. Recipe names in report differ from those used in the knit's `wave_params` list +2. Dates may be wrong or not ISO8601 compatible ## Getting involved @@ -132,8 +145,7 @@ We're keen to help you get set up - Open issues with any problems you encounter. Eventually we'd love to add Bayesian inferential stats to our reports - we're currently playing with it, but not fully comfortable with it yet for production reports. - Reach out via: -* [Open an issue on Github](https://github.com/mint-metrics/mojito-r-analytics/issues/new) -* [Mint Metrics' website](https://mintmetrics.io/) +- [Open an issue on Github](https://github.com/mint-metrics/mojito-r-analytics/issues/new) +- [Mint Metrics' website](https://mintmetrics.io/) diff --git a/docs/snowplow-storage-data-models.md b/website/docs/snowplow-storage-data-models.md similarity index 70% rename from docs/snowplow-storage-data-models.md rename to website/docs/snowplow-storage-data-models.md index e60f1ac..2fc1392 100644 --- a/docs/snowplow-storage-data-models.md +++ b/website/docs/snowplow-storage-data-models.md @@ -1,25 +1,24 @@ --- id: snowplow-storage-data-models -title: Mojito Snowplow/Redshift data models +title: "Mojito Snowplow/Redshift data models" sidebar_label: Redshift data models --- - For measuring causality, we only count conversions taking place **after** a user is bucketed into a test. Tracking events before exposure to a variant only confounds the results. Mojito does this by cherry-picking two types of events: -1. **[First exposures](https://github.com/mint-metrics/mojito-snowplow-storage/blob/master/redshift-datamodels/base_exposures.sql)**: Each subject's first exposure to a variant -2. **[All conversions](https://github.com/mint-metrics/mojito-snowplow-storage/blob/master/redshift-datamodels/conversions.sql)**: Every distinct conversion event a subject triggers +1. **[First exposures](https://github.com/mint-metrics/mojito-snowplow-storage/blob/master/redshift-datamodels/base_exposures.sql)**: Each subject's first exposure to a variant +2. **[All conversions](https://github.com/mint-metrics/mojito-snowplow-storage/blob/master/redshift-datamodels/conversions.sql)**: Every distinct conversion event a subject triggers Then, our reporting logic performs the attribution based on users' event sequences: | Time | A subject's event stream | Event counted in reports? | -|-------|--------------------------|-------------------------------------------------------| -| 12:01 | Conversion | ❗ Converted *(but before exposure / not counted)* | +| ----- | ------------------------ | ----------------------------------------------------- | +| 12:01 | Conversion | ❗ Converted _(but before exposure / not counted)_ | | 12:02 | Exposure | ✅ First exposure | | 12:03 | Conversion | ✅ Converted | | 12:04 | Exposure | ❌ | -| 12:05 | Conversion | ✅ Converted again *(if measuring multiple goal hits)* | +| 12:05 | Conversion | ✅ Converted again _(if measuring multiple goal hits)_ | Think "event sequencing" in GA's advanced segments... but with better assurances of when events arrived via Snowplow. @@ -27,19 +26,19 @@ Think "event sequencing" in GA's advanced segments... but with better assurances Mint Metrics uses a multi-tenanted solution becuase we service multiple clients (`client`). At the same time, we also support different units of assignment (`unit`). These two factors go into naming our tables for access within reports: - - **Exposure tables**: mojito.exposures_`unit` - - usercookie: Snowplow's domain user ID / first party cookie ID *(Recommended)* - - sessioncookie: Snowplow's domain session ID cookie - - userfingerprint: Snowplow's user fingerprint and the user IP address combined into one field - - **Conversion tables**: mojito.`client`_conversions_`unit` - - e.g. 'mintmetrics' or whatever you use for the app_id +- **Exposure tables**: mojito.exposures\_`unit` + - usercookie: Snowplow's domain user ID / first party cookie ID _(Recommended)_ + - sessioncookie: Snowplow's domain session ID cookie + - userfingerprint: Snowplow's user fingerprint and the user IP address combined into one field +- **Conversion tables**: mojito.`client`_conversions_`unit` + - e.g. 'mintmetrics' or whatever you use for the app_id ### Example If the client was Mint Metrics and we were running a test assigned at the session-level, we would have to populate two tables for reports: -1. `mojito.exposures_sessioncookie`: For exposure tracking -2. `mojito.mintmetrics_conversions_sessioncookie`: For conversion data +1. `mojito.exposures_sessioncookie`: For exposure tracking +2. `mojito.mintmetrics_conversions_sessioncookie`: For conversion data ## Setting up your data models @@ -47,21 +46,24 @@ If the client was Mint Metrics and we were running a test assigned at the sessio This is the schema we use to store all Mojito report tables in. It also makes it easy to lock down access for your reporting user: -```sql{} +```sql{"{"}{"}"} + CREATE SCHEMA IF NOT EXISTS mojito; GRANT USAGE ON SCHEMA TO username; + ``` ### 2. Define your exposure tables Take [the `base_exposures.sql` example](https://github.com/mint-metrics/mojito-snowplow-storage/blob/master/redshift-datamodels/base_exposures.sql) and adapt it to your requirements, paying close attention to: - - Lines 1 and 18: Unit (if you're selecting a unit other than the first-party cookie ID) - - Line 3: In case you want to override your app ID and it's not relevant to you. E.g. you could replace it with "company_name" instead. - - Line 20-29: Bot filtering - you may have your own method for filtering bots out of your dataset. - - [Table naming conventions as described above](#table-naming-conventions) (reports reference tables regularly and they need consistency) +- Lines 1 and 18: Unit (if you're selecting a unit other than the first-party cookie ID) +- Line 3: In case you want to override your app ID and it's not relevant to you. E.g. you could replace it with "company_name" instead. +- Line 20-29: Bot filtering - you may have your own method for filtering bots out of your dataset. +- [Table naming conventions as described above](#table-naming-conventions) (reports reference tables regularly and they need consistency) + +```sql{"{"}3,4,18,20-29{"}"} -```sql{3,4,18,20-29} -- Exposures table SELECT domain_userid AS subject, @@ -88,22 +90,23 @@ WHERE e.event_name = 'mojito_exposure' end ) GROUP BY 1, 2, 3, 4 + ``` Again, remember to pay close attention to the naming of your tables. - ### 3. Define your conversion tables & conversion points Using [the `conversions.sql` example](https://github.com/mint-metrics/mojito-snowplow-storage/blob/master/redshift-datamodels/conversions.sql), adapt it to your requirements: - - Line 2 & 22: Configure your subject - - Line 4-11: Use CASE WHEN to categorise your events and classify them for easy access in reports - this means we can select and match conversion events on one field with regex in our reports. - - Line 20: Define your app ID in the WHERE clause or pull the data from a particular table or schema - - Line 23: Ensure all your pertinent conversion events are selected in this condition - - [Remember the naming conventions for tables](#table-naming-conventions) when Creating the table inside the Mojito Schema +- Line 2 & 22: Configure your subject +- Line 4-11: Use CASE WHEN to categorise your events and classify them for easy access in reports - this means we can select and match conversion events on one field with regex in our reports. +- Line 20: Define your app ID in the WHERE clause or pull the data from a particular table or schema +- Line 23: Ensure all your pertinent conversion events are selected in this condition +- [Remember the naming conventions for tables](#table-naming-conventions) when Creating the table inside the Mojito Schema + +```sql{"{"}2, 4-11, 20, 22, 23{"}"} -```sql{2, 4-11, 20, 22, 23} SELECT domain_userid AS subject, -- This is the value for the goal @@ -132,14 +135,15 @@ Using [the `conversions.sql` example](https://github.com/mint-metrics/mojito-sno 1, 2, 3, nvl(tr_orderid, event_id) ORDER BY conversion_time -``` +``` ### 4. Adding data modelling steps to Snowplow SQL Runner Finally, you'll want to rebuild these tables as fresh data loads after each batch.: -```{yaml} +```{"{"}yaml{"}"} + # ... steps: - name: Exclusion filters @@ -159,8 +163,8 @@ steps: - name: Mint Metrics file: mojito/conversions/mintmetrics.sql -``` +``` ## Error tracking & attribution @@ -168,7 +172,8 @@ NB. This is set to change shortly as we lock down the requirements for this feat For error reporting, you'll need to build another table that should give you plenty of juicy context to find and fix errors: -```sql{} +```sql{"{"}{"}"} + SELECT app_id as client_id, domain_userid as subject, @@ -190,6 +195,7 @@ INNER JOIN atomic.io_mintmetrics_mojito_mojito_failure_1 f LEFT JOIN atomic.com_snowplowanalytics_snowplow_ua_parser_context_1 ua ON f.root_id = ua.root_id and f.root_tstamp = ua.root_tstamp + ``` We use the User Agent Parser enrichment in Snowplow to classify useragents. Page URLs, variant (components) and error messages also provide heaps of context for debugging. @@ -200,12 +206,11 @@ This table makes for useful Superset dashboards too: Whilst this event is optional to track and collect, we highly recommend it since [error tracking provides you with better assurances when you run your experiments](https://mintmetrics.io/experiments/why-you-need-error-tracking-handling-in-your-split-tests/). - ## Get involved We'll need help supporting other Snowplow Storage Targets, like Big Query and Azure's Data Lake product (eventually). Feel free to reach out to us: -* [Open an issue on Github](https://github.com/mint-metrics/mojito-snowplow-storage/issues/new) -* [Mint Metrics' website](https://mintmetrics.io/) +- [Open an issue on Github](https://github.com/mint-metrics/mojito-snowplow-storage/issues/new) +- [Mint Metrics' website](https://mintmetrics.io/) diff --git a/docs/snowplow-storage-events.md b/website/docs/snowplow-storage-events.md similarity index 54% rename from docs/snowplow-storage-events.md rename to website/docs/snowplow-storage-events.md index 1128135..e97aaf8 100644 --- a/docs/snowplow-storage-events.md +++ b/website/docs/snowplow-storage-events.md @@ -3,12 +3,11 @@ id: snowplow-storage-events title: Mojito Snowplow Storage Events & JavaScript tags sidebar_label: Events & tags --- - For most experiment reports, we're interested in collecting just three events: -1. Exposures (or assignments) -2. Failures (errors in experiment variants, shared code or triggers) -3. Conversions (e.g. clicks, page views, purchases or leads) +1. Exposures (or assignments) +2. Failures (errors in experiment variants, shared code or triggers) +3. Conversions (e.g. clicks, page views, purchases or leads) From these three events, we can calculate everything we need for powering our reports. @@ -20,19 +19,20 @@ Our initial self describing events tracked many fields (like whether the exposur ### Fields reference -Parameter | Description ---|-- -**waveId**
Type: *string*
*Required* | A canonical ID of the test used in cookies and in experiment in reports (one day, the Wave ID may become part of the PRNG seed for deterministic assignment) -**waveName**
Type: *string*
*Required* | This is a descriptive name used for the experiment in any tracking. -**recipe**
Type: *string*
*Required* | This is the name of the recipe a user has been assigned and exposed to. +| Parameter | Description | +| ------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------ | +| **waveId**
Type: _string_
_Required_ | A canonical ID of the test used in cookies and in experiment in reports (one day, the Wave ID may become part of the PRNG seed for deterministic assignment) | +| **waveName**
Type: _string_
_Required_ | This is a descriptive name used for the experiment in any tracking. | +| **recipe**
Type: _string_
_Required_ | This is the name of the recipe a user has been assigned and exposed to. | ### Add to Snowplow - - [Mojito Exposure JSON Schema](https://github.com/mint-metrics/mojito-snowplow-storage/blob/master/events/jsonschema/io.mintmetrics.mojito/mojito_exposure/jsonschema/1-0-0) - - [Mojito Exposure SQL table definition](https://github.com/mint-metrics/mojito-snowplow-storage/blob/master/events/sql/io.mintmetrics.mojito/mojito_exposure_1.sql) - - [Mojito Exposure JSON Paths](https://github.com/mint-metrics/mojito-snowplow-storage/blob/master/events/jsonpaths/io.mintmetrics.mojito/mojito_exposure_1.json) +- [Mojito Exposure JSON Schema](https://github.com/mint-metrics/mojito-snowplow-storage/blob/master/events/jsonschema/io.mintmetrics.mojito/mojito_exposure/jsonschema/1-0-0) +- [Mojito Exposure SQL table definition](https://github.com/mint-metrics/mojito-snowplow-storage/blob/master/events/sql/io.mintmetrics.mojito/mojito_exposure_1.sql) +- [Mojito Exposure JSON Paths](https://github.com/mint-metrics/mojito-snowplow-storage/blob/master/events/jsonpaths/io.mintmetrics.mojito/mojito_exposure_1.json) ```js + your_snowplow_tracker("trackSelfDescribingEvent", { schema: "iglu:io.mintmetrics.mojito/mojito_exposure/jsonschema/1-0-0", data: { @@ -41,6 +41,7 @@ your_snowplow_tracker("trackSelfDescribingEvent", { "recipe": "Control" } }); + ``` ## 2. Recipe failures (error tracking) @@ -51,20 +52,21 @@ Whenever you deploy new code to your site, there's a chance that the code will b ### Fields reference -Parameter | Description ---|-- -**waveId**
Type: *string*
*Required* | This is the canonical way of identifying a test in cookies and in your internal dataset. -**waveName**
Type: *string*
*Required* | This is a descriptive name used for the experiment in any tracking. -**component**
Type: *string*
*Required* | This is the component such as the recipe name or shared code that a user has been assigned and exposed to. -**error**
Type: *string*
*Optional* | If there was an error message or stack passed back, it can be captured in this field. +| Parameter | Description | +| ------------------------------------------------- | ---------------------------------------------------------------------------------------------------------- | +| **waveId**
Type: _string_
_Required_ | This is the canonical way of identifying a test in cookies and in your internal dataset. | +| **waveName**
Type: _string_
_Required_ | This is a descriptive name used for the experiment in any tracking. | +| **component**
Type: _string_
_Required_ | This is the component such as the recipe name or shared code that a user has been assigned and exposed to. | +| **error**
Type: _string_
_Optional_ | If there was an error message or stack passed back, it can be captured in this field. | ### Add to Snowplow - - [Mojito Failure JSON Schema](https://github.com/mint-metrics/mojito-snowplow-storage/blob/master/events/jsonschema/io.mintmetrics.mojito/mojito_failure/jsonschema/1-0-0) - - [Mojito Failure SQL table definition](https://github.com/mint-metrics/mojito-snowplow-storage/blob/master/events/sql/io.mintmetrics.mojito/mojito_failure_1.sql) - - [Mojito Failure JSON Paths](https://github.com/mint-metrics/mojito-snowplow-storage/blob/master/events/jsonpaths/io.mintmetrics.mojito/mojito_failure_1.json) +- [Mojito Failure JSON Schema](https://github.com/mint-metrics/mojito-snowplow-storage/blob/master/events/jsonschema/io.mintmetrics.mojito/mojito_failure/jsonschema/1-0-0) +- [Mojito Failure SQL table definition](https://github.com/mint-metrics/mojito-snowplow-storage/blob/master/events/sql/io.mintmetrics.mojito/mojito_failure_1.sql) +- [Mojito Failure JSON Paths](https://github.com/mint-metrics/mojito-snowplow-storage/blob/master/events/jsonpaths/io.mintmetrics.mojito/mojito_failure_1.json) ```js + your_snowplow_tracker("trackSelfDescribingEvent", { schema: "iglu:io.mintmetrics.mojito/mojito_failure/jsonschema/1-0-0", data: { @@ -74,8 +76,8 @@ your_snowplow_tracker("trackSelfDescribingEvent", { "error": "Something is undefined." } }); -``` +``` ## 3. Conversions (every other event) @@ -83,10 +85,10 @@ No specific conversion events exist for Mojito. Instead, we treat any of Snowplow's rich, high-fidelity events as conversions. Common events we track include: - - Transactions (and revenue) - - Leads - - Events - - Page views +- Transactions (and revenue) +- Leads +- Events +- Page views Even though we select all conversion events into the conversion tables, our reports ensure proper causality and attribution. Only conversions after a subject's first exposure are attributed to the experiment. Then, we can say: Treatment (`Cause`) -> Conversion (`Effect`). diff --git a/website/docs/snowplow-storage-intro.md b/website/docs/snowplow-storage-intro.md new file mode 100644 index 0000000..fb419d3 --- /dev/null +++ b/website/docs/snowplow-storage-intro.md @@ -0,0 +1,44 @@ +--- +id: snowplow-storage-intro +title: Mojito Snowplow Storage overview +sidebar_label: Introduction +--- +This component allows you to collect experiment events and perform the necessary data modelling for [Mojito R Analytics](r-analytics-intro.md) reports and other tools. + +There are two parts to this component: + +1. **Events** (`./events`): Self-describing events emitted from experiments, comprised of JSON schemas and Snowplow JSON Paths / Redshift tables +2. **Data models** `./redshift-datamodels`: SQL data models for attributing `conversions` back to variant `exposures` in reporting + +## Prerequisites + +To make use of this out of the box, you'll need: + +- Snowplow running with Redshift as a storage target +- Snowplow's SQL Runner app + +It's possible to do this without the above, but you'll need some heavy modification. + +## Getting started + +[Add the events to your Iglu](https://discourse.snowplowanalytics.com/t/introductory-guide-to-creating-your-own-self-describing-events-and-contexts-tutorial/1377) and [setup your data modelling steps in SQL Runner](https://github.com/snowplow/sql-runner/wiki/Guide-for-analysts): + +1. [Add JSON schema to your Iglu](https://github.com/mint-metrics/mojito-snowplow-storage/tree/master/events/jsonschema) + - This is required for event validation and shredding during enrichment +2. (Redshift only) [Put the JSON paths files in your JSON paths folder](https://github.com/mint-metrics/mojito-snowplow-storage/tree/master/events/jsonpaths) + - If running Redshift, this maps the JSON keys to your table fields +3. (Redshift only) [Create the tables in Redshift for loading shredded events](https://github.com/mint-metrics/mojito-snowplow-storage/tree/master/events/sql) + - If running Redshift, this is the table definition that shredded events will populate +4. Setup SQL Runner to load your report tables each day ([Redshift data models](snowplow-storage-data-models.md)) + - This step creates the data model used for reporting + +## Future work + +We intend to support GCP/BigQuery in the future as we need, but for now, we only support Redshift. + +## Get involved + +Let us know if you encounter any issues and reach out to us if you need a hand getting set up. + +- [Open an issue on Github](https://github.com/mint-metrics/mojito-snowplow-storage/issues/new) +- [Mint Metrics' website](https://mintmetrics.io/) diff --git a/website/docusaurus.config.js b/website/docusaurus.config.js new file mode 100644 index 0000000..cdaa118 --- /dev/null +++ b/website/docusaurus.config.js @@ -0,0 +1,88 @@ +module.exports={ + "title": "Mojito", + "tagline": "Build, launch & report on experiments via Git & CI", + "url": "https://mojito.mx", + "baseUrl": "/", + "organizationName": "mojito", + "projectName": "mojito-site", + "scripts": [ + 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"@docusaurus/preset-classic": "2.0.0-beta.3", + "clsx": "^1.1.1", + "react": "^17.0.1", + "react-dom": "^17.0.1", + "react-markdown": "^6.0.2" } } diff --git a/website/sidebars.json b/website/sidebars.json index 3f04770..bdf6406 100755 --- a/website/sidebars.json +++ b/website/sidebars.json @@ -4,27 +4,30 @@ "1. JS Delivery": [ "js-delivery-intro", { - "type": "subcategory", + "type": "category", "label": "Experiment setup", - "ids": [ + "items": [ "js-delivery-setup", "js-delivery-setup-js", "js-delivery-setup-yaml", "js-delivery-setup-shared-parameters" - ] - }, "js-delivery-customisation", + ], + "collapsed": true + }, + "js-delivery-customisation", "js-delivery-preview-launch", { - "type": "subcategory", + "type": "category", "label": "Hosting", - "ids": [ + "items": [ "js-delivery-hosting", "js-delivery-hosting-s3-cf", "js-delivery-hosting-build-script", "js-delivery-hosting-iam", "js-delivery-hosting-bitbucket", "js-delivery-hosting-snippet" - ] + ], + "collapsed": true }, "js-delivery-upgrading" ], @@ -35,12 +38,27 @@ "r-analytics-intro" ] }, + "examples": { + "Examples & tutorials": ["example-home"], + "1. JS Delivery": [ + "example-js-delivery-simple-ab", + "example-js-delivery-aa", + "example-js-delivery-requestly-staging", + "example-js-delivery-divert", + "example-js-delivery-cross-trigger", + "example-js-delivery-partitioned-ramps" + ], + "Other / advanced": [ + "example-hash-function-split-test-assignment" + ] + }, "api": { "API reference": ["api-intro"], "1. JS Delivery": [ "js-delivery-api-execution-order", "js-delivery-test-object", "js-delivery-api-storage-adapter", + "js-delivery-api-decision-adapter", "js-delivery-utilities", "js-delivery-gulp-commands" ], diff --git a/website/siteConfig.js b/website/siteConfig.js deleted file mode 100644 index 6c6bb29..0000000 --- a/website/siteConfig.js +++ /dev/null @@ -1,149 +0,0 @@ -/** - * Copyright (c) 2017-present, Facebook, Inc. - * - * This source code is licensed under the MIT license found in the - * LICENSE file in the root directory of this source tree. - */ - -// See https://docusaurus.io/docs/site-config for all the possible -// site configuration options. - -// List of projects/orgs using your project for the users page. -const users = [ - { - caption: 'Mint Metrics', - // You will need to prepend the image path with your baseUrl - // if it is not '/', like: '/test-site/img/image.jpg'. - image: '/img/user-logos/mintmetrics.png', - infoLink: 'https://mintmetrics.io/', - pinned: true, - }, - // { - // caption: 'Menulog', - // image: '/img/undraw_open_source.svg', - // infoLink: 'https://www.facebook.com', - // pinned: true, - // }, - // { - // caption: 'Eat Now', - // image: '/img/undraw_open_source.svg', - // infoLink: 'https://www.facebook.com', - // pinned: true, - // }, - // { - // caption: 'TFE Hotels', - // image: '/img/undraw_open_source.svg', - // infoLink: 'https://www.facebook.com', - // pinned: true, - // }, - // { - // caption: 'ME Bank', - // image: '/img/undraw_open_source.svg', - // infoLink: 'https://www.mebank.com.au/', - // pinned: true, - // }, -]; - -const siteConfig = { - title: 'Mojito', // Title for your website. - tagline: 'Build, launch & report on experiments via Git & CI', - url: 'https://mojito.mx', // Your website URL - - baseUrl: '/', // Base URL for your project */ - // For github.io type URLs, you would set the url and baseUrl like: - // url: 'https://facebook.github.io', - // baseUrl: '/test-site/', - - repoUrl: 'https://github.com/mint-metrics/mojito', - editUrl: 'https://github.com/mint-metrics/mojito-website/edit/master/docs/', - twitterUsername: 'mintmetrics_io', - - // Used for publishing and more - projectName: 'mojito-site', - organizationName: 'mojito', - // For top-level user or org sites, the organization is still the same. - // e.g., for the https://JoelMarcey.github.io site, it would be set like... - // organizationName: 'JoelMarcey' - - // For no header links in the top nav bar -> headerLinks: [], - headerLinks: [ - {doc: 'home', label: 'Get started'}, - {doc: 'api-intro', label: 'API reference'}, - {href: 'https://mintmetrics.io/contact/', label: 'Help'}, - {href: 'https://www.github.com/mint-metrics/mojito', label: 'Github'}, - {search: true}, - ], - - // If you have users set above, you add it here: - users, - - /* path to images for header/footer */ - headerIcon: 'img/android-icon-192x192.png', - footerIcon: 'img/android-icon-192x192.png', - favicon: 'img/android-icon-192x192.png', - - /* Colors for website */ - colors: { - primaryColor: '#153c6c', - secondaryColor: '#000', - }, - - /* Custom fonts for website */ - /* - fonts: { - myFont: [ - "Times New Roman", - "Serif" - ], - myOtherFont: [ - "-apple-system", - "system-ui" - ] - }, - */ - - // This copyright info is used in /core/Footer.js and blog RSS/Atom feeds. - copyright: `Copyright © ${new Date().getFullYear()} Mint Metrics Pty Ltd`, - - highlight: { - // Highlight.js theme to use for syntax highlighting in code blocks. - theme: 'default', - }, - - // Add custom scripts here that would be placed in