norch-vuejs-app
v0.0.15
Published
Search frontend for Norch search engine, written in vue.js
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norch-vuejs-app
Vue.js frontend to the search engine norch / search-index. An easy way to get started with norch and test your dataset without much coding. (Will be without any coding at a later point in time)
Try it right away on Codepen.io
Install
npm install -g norch
npm install search-index-indexer norch-vuejs-app
Setup
Getting the data
node node_modules/search-index-indexer/index.js -c https://cdn.rawgit.com/eklem/search-index-indexer/master/config.json -d https://cdn.rawgit.com/eklem/dataset-vinmonopolet/master/dataset-vinmonopolet-sparkling.str
mkdir norch-index
mv data/ norch-index/
For test-data we use the dataset dataset-vinmonopolet.
Starting norch
norch -p 3030 -l silly -i norch-index
Configuring norch-vuejs-app
norch.js starts with defining a data model. Part of it is the config-stuff. Point it to the url
of your norch instance, and setup cateories (fields you want to filter on).
// Application configuration
config = {
'url': 'http://[norch-url]:[port-number]/',
'endpoint': {
'search': 'search?q=',
'categorize': 'categorize?q=',
'buckets': 'buckets?q=',
'docCount': 'docCount',
'totalHits': 'totalHits?q='
},
'categories': [{
'field': '[filed-to-categorize-on]'
}]
}
More about the norch endpoint API. Only a subset is supported by this app.
Deliver the html-page
I'm using Apache to deliver the page, but that's just me. User your preferred webserver to deliver index.html and norch.js and you're ready to play.
Development
Vue devtools
Google Chrome is the preferred browser when developing because it has a working devtool for Vue: Vue.js devtools. It will among other things, show you what's happening to your data object(s) in your app.
Test quey objects on norch
When developing, it's good to check what norch supports and not, and what the response is. Test in you browser like this:
http://[norch-url]:[port-number]/search?q={"pageSize":10,"query":{"AND":{"*":["*"]}}}
Plans
- [x] First step is to make it talk to
norch
JSON API. Together with thesearch-index-indexer
this will make people able to test their dataset without any coding. - [ ] Second step is to make it run in the browser and be able to switch from using an external
norch
JSON API to an internalsearch-index
API after replicating the search index into local storage.