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keen-analysis

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# keen-analysis.js JavaScript Client for [Keen](https://keen.io/). ### Installation Install this package from NPM *Recommended* ```ssh npm install keen-analysis --save ``` Or load it from a public CDN: ```html <script crossorigin src="https://cdn.jsdelivr.net/npm/keen-analysis@3"></script> ``` ### Project ID & API Keys [Login to Keen IO to create a project](https://keen.io/login?s=gh_js) and grab the **Project ID** and **Read Key** from your project's **Access** page. ### Getting started The following examples demonstrate how to get up and running quickly with our API. This SDK can also contains basic [HTTP wrappers](#api-resources) that can be used to interact with every part of our platform. If any of this is confusing, join our [Slack community](https://slack.keen.io) or send us a [message](https://keen.io/support/). **Looking for tracking capabilities?** Check out [keen-tracking.js](https://github.com/keen/keen-tracking.js). **Upgrading from an earlier version of keen-js?** [Read this](#upgrading-from-keen-js). ### Setup and Running a Query Create a new `client` instance with your Project ID and Read Key, and use the `.query()` method to execute an ad-hoc query. This client instance is the core of the library and will be required for all API-related functionality. ```javascript // Browsers import KeenAnalysis from 'keen-analysis'; // Node.js // const KeenAnalysis = require('keen-analysis'); const client = new KeenAnalysis({ projectId: 'YOUR_PROJECT_ID', readKey: 'YOUR_READ_KEY' }); client .query({ analysis_type: 'count', event_collection: 'pageviews', timeframe: 'this_31_days' }) .then(res => { // Handle results, e.g. visualise them with https://github.com/keen/keen-dataviz.js }) .catch(err => { // Handle errors }); ``` **Important:** the `res` response object returned in the example above will also include a `query` object containing the `analysis_type` and query parameters shaping the request. This query information is artificially appended to the response by this SDK, as this information is currently only provided by the API for saved queries. **Why?** Query parameters are extremely useful for intelligent response handling downstream, particularly by our own automagical visualization capabilities in [keen-dataviz.js](https://github.com/keen/keen-dataviz.js). --- #### Cache queries in the client Client-side (browser) caching is based on [IndexedDB API](https://developer.mozilla.org/en-US/docs/Web/API/IndexedDB_API). ```javascript import KeenAnalysis from 'keen-analysis'; // set global caching of all queries *Optional* const client = new KeenAnalysis({ projectId: 'YOUR_PROJECT_ID', masterKey: 'YOUR_MASTER_KEY', cache: { maxAge: 60 * 1000 // cache for 1 minute } }); // or set custom caching for a specific query *Optional* client .query({ analysis_type: 'count', event_collection: 'pageviews', timeframe: 'this_31_days', cache: { maxAge: 10 * 1000 // [ms] } }) .then(res => { // Handle results }) .catch(err => { // Handle errors }); // don't cache a specific query, even if the global caching is on client .query({ analysis_type: 'count', event_collection: 'pageviews', timeframe: 'this_14_days', cache: false }) .then(res => { // Handle results }) .catch(err => { // Handle errors }); ``` #### Create a Saved Query API reference: [Saved Query](https://keen.io/docs/api/?javascript#creating-a-saved-query) ```javascript import KeenAnalysis from 'keen-analysis'; const client = new KeenAnalysis({ projectId: 'YOUR_PROJECT_ID', masterKey: 'YOUR_MASTER_KEY' }); // Create or Update a saved query client .put({ url: client.url('queries', 'saved', 'daily-pageviews-this-14-days'), api_key: client.config.masterKey, params: { refresh_rate: 60 * 60 * 4, // API will refresh result of this query every 4 hours query: { analysis_type: 'count', event_collection: 'pageviews', timeframe: 'this_14_days' }, metadata: { display_name: 'Daily pageviews (this 14 days)', /* If you plan to use this saved query inside Explorer set the default visualization. We suggest using "metric" for a single value, "area" for intervals */ visualization: { chart_type: "metric" } } } }) .then(res => { // Handle results }) .catch(err => { // Handle errors }); ``` #### Read Saved/Cached Queries ```javascript import KeenAnalysis from 'keen-analysis'; const client = new KeenAnalysis({ projectId: 'YOUR_PROJECT_ID', readKey: 'YOUR_READ_KEY' }); // read already saved query client .query({ saved_query_name: 'pageviews-this-14-days' }) .then(res => { // Handle results }) .catch(err => { // Handle errors }); ``` #### List Saved Queries ```javascript import KeenAnalysis from 'keen-analysis'; const client = new KeenAnalysis({ projectId: 'YOUR_PROJECT_ID', masterKey: 'YOUR_MASTER_KEY' }); // Retrieve all saved queries client .get({ url: client.url('queries', 'saved'), api_key: client.config.masterKey }) .then(res => { // Handle results }) .catch(err => { // Handle errors }); ``` #### Create Cached Datasets ```javascript import KeenAnalysis from 'keen-analysis'; const client = new KeenAnalysis({ projectId: 'PROJECT_ID', masterKey: 'MASTER_KEY' }); const newDatasetName = 'my-first-dataset'; client .put({ url: client.url('datasets', newDatasetName), api_key: client.config.masterKey, params: { display_name: 'Count Daily Product Purchases Over $100 by Country', query: { analysis_type: 'count', event_collection: 'purchases', filters: [ { property_name: 'price', operator: 'gte', property_value: 100 } ], group_by: 'ip_geo_info.country', interval: 'daily', timeframe: 'this_500_days' }, index_by: 'product.id' } }) .then(res => { console.log('res', res); // Handle response }) .catch(err => { // Handle error }); ``` #### Read Cached Datasets ```javascript import KeenAnalysis from 'keen-analysis'; const client = new KeenAnalysis({ projectId: 'YOUR_PROJECT_ID', readKey: 'YOUR_READ_KEY' }); client .query({ dataset_name: 'my-cached-dataset', index_by: 'customer.id', timeframe: 'this_7_days' }) .then(res => { // Handle results }) .catch(err => { // Handle errors }); ``` #### Cancel a query ```javascript import KeenAnalysis from 'keen-analysis'; const client = new KeenAnalysis({ projectId: 'YOUR_PROJECT_ID', readKey: 'YOUR_READ_KEY' }); const queryPageviews = client.query({ analysis_type: 'count', event_collection: 'pageviews', timeframe: 'this_31_days' }); // cancel queryPageviews.abort(); /* query.then(res => { console.log(res); }) .catch(err => { console.log(err); }); */ ``` #### Timeout of the queries Fetch API doesn't support timeout, but we can fix that ```javascript import KeenAnalysis from 'keen-analysis'; const client = new KeenAnalysis({ projectId: 'YOUR_PROJECT_ID', readKey: 'YOUR_READ_KEY' }); const queryPageviews = client.query({ analysis_type: 'count', event_collection: 'pageviews', timeframe: 'this_31_days' }); // cancel after 10 seconds setTimeout(() => { queryPageviews.abort(); }, 1000 * 10); queryPageviews .then(res => { console.log('response', res); }) .catch(err => { console.log('error', err); }); ``` ### Running multiple queries at once `client.run()` will `Promise.all` array of queries. Please note, that in general, we recommend running queries independently of each other. This example is useful if you are rendering many results on one Keen-dataviz.js chart object. ```javascript import KeenAnalysis from 'keen-analysis'; const client = new KeenAnalysis({ projectId: 'YOUR_PROJECT_ID', readKey: 'YOUR_READ_KEY' }); const queryPageviews = client.query({ analysis_type: 'count', event_collection: 'pageviews', timeframe: 'this_14_days' }); const queryFormSubmissions = client.query({ analysis_type: 'count', event_collection: 'form_submissions', timeframe: 'this_14_days' }); // promise all client .run([queryPageviews, queryFormSubmissions]) .then(res => { // Handle results }) .catch(err => { // Handle errors }); ``` --- ### Client instance methods The following HTTP methods are exposed on the client instance: * `.get(object)` * `.post(object)` * `.put(object)` * `.del(object)` These HTTP methods take a single argument and return a promise for the asynchronous response. --- ### Upgrading from keen-js There are several breaking changes from earlier versions of [keen-js](https://github.com/keen/keen-js). * **All new HTTP methods:** [keen-js](https://github.com/keen/keen-js) supports generic HTTP methods (`.get()`, `.post()`, `.put()`, and `.del()`) for interacting with various API resources. The new Promise-backed design of this SDK necessitated a full rethinking of how these methods behave. * **camelCase conversion:** previously, query parameters could be provided to a `Keen.Query` object in camelCase format, and would be converted to the underscore format that the API requires. Eg: `eventCollection` would be converted to `event_collection` before being sent to the API. This pattern has caused plenty of confusion, so we have axed this conversion entirely. All query parameters must be supplied in the format outlined by the [API reference](https://keen.io/docs/api) (`event_collection`). * **`Keen.Request` object has been removed:** this object is no longer necessary for managing query requests. * **Redesigned implementation of `client.url()`:** This method previously included `https://api.keen.io/3.0/projects/PROJECT_ID` plus a `path` argument ('/events/whatever'). This design severely limited its utility, so we've revamped this method. This method now references an internal collection of resource paths, and constructs URLs using client configuration properties like `host` and `projectId`: ```javascript const url = client.url('projectId'); // Renders {protocol}://{host}/3.0/projects/{projectId} // Returns https://api.keen.io/3.0/projects/PROJECT_ID ``` Default resources: * 'base': '`{protocol}`://`{host}`', * 'version': '`{protocol}`://`{host}`/3.0', * 'projects': '`{protocol}`://`{host}`/3.0/projects', * 'projectId': '`{protocol}`://`{host}`/3.0/projects/`{projectId}`', * 'queries': '`{protocol}`://`{host}`/3.0/projects/`{projectId}`/queries' * 'datasets': '`{protocol}`://`{host}`/3.0/projects/`{projectId}`/datasets' Non-matching strings will be appended to the `base` resource, like so: ```javascript const url = client.url('/3.0/projects'); // Returns https://api.keen.io/3.0/projects ``` You can also pass in an object to append a serialized query string to the result, like so: ```javascript const url = client.url('events', { api_key: 'YOUR_API_KEY' }); // Returns https://api.keen.io/3.0/projects/PROJECT_ID/events?api_key=YOUR_API_KEY ``` Resources can be returned or added with the `client.resources()` method, like so: ```javascript client.resources() // Returns client.config.resources object client.resources({ 'new': '{protocol}://analytics.mydomain.com/my-custom-endpoint/{projectId}' }); client.url('new'); // Returns 'https://analytics.mydomain.com/my-custom-endpoint/PROJECT_ID' ``` --- ### Contributing This is an open source project and we love involvement from the community! Hit us up with pull requests and issues. [Learn more about contributing to this project](./CONTRIBUTING.md). --- ### Support Need a hand with something? Shoot us an email at [team@keen.io](mailto:team@keen.io). We're always happy to help, or just hear what you're building! Here are a few other resources worth checking out: * [API status](http://status.keen.io/) * [API reference](https://keen.io/docs/api) * [How-to guides](https://keen.io/guides) * [Data modeling guide](https://keen.io/guides/data-modeling-guide/) * [Slack (public)](http://slack.keen.io/) --- ## Custom builds Run the following commands to install and build this project: ```ssh # Clone the repo $ git clone https://github.com/keen/keen-analysis.js.git && cd keen-analysis.js # Install project dependencies $ npm install # Build project with Webpack $ npm run build # Build and launch to view demo page $ npm run start # Run Jest tests $ npm run test ```