Cookbook

Feel free to contribute to this document with ramda-cli snippets that have helped you.

Recipes

- [Create a markdown formatted table of Ramda's functions](#create-a-markdown-formatted-table-of-ramdas-functions)
- [Merge JSON files into a single object](#merge-json-files-into-a-single-object)
- [Unwrap a list of objects into Line Delimited JSON](#unwrap-a-list-of-objects-into-line-delimited-json)
- [Read filenames from stdin as an object of `{filename: body}`](#read-filenames-from-stdin-as-an-object-of-filename-body)
- [Inspect MongoDB collection as a table](#inspect-mongodb-collection-as-a-table)
- [Create an `<img>` tag based on `identify` output](#create-an-img-tag-based-on-identify-output)
- [Get a table of things occurring per minute](#get-a-table-of-things-occurring-per-minute)

• Using ramda-cli with country.json data
  • Merge data from multiple json files
  • Sort by population and format the number with approximate-number

Create a markdown formatted table of Ramda's functions

Output from ramda-cli can be piped to markdown-cli-table to create a Markdown formatted table.

npm install -g markdown-table-cli
curl -s https://raine.github.io/ramda-json-docs/latest.json | \
  R 'project <[ name sig category ]>' \
    'map evolve sig: (-> it and "`#it`"), name: -> "[`#it`](http://ramdajs.com/docs/##it)"' \
  | md-table

name	sig	category
add	Number -> Number -> Number	Math
adjust	(a -> a) -> Number -> [a] -> [a]	List
always	a -> (* -> a)	Function
aperture	Number -> [a] -> [[a]]	List

Merge JSON files into a single object

cat *.json | R --slurp merge-all

Unwrap a list of objects into Line Delimited JSON

cat data.json | R --unslurp --compact identity

Read filenames from stdin as an object of {filename: body}

find . -name '*.txt' | R -r --slurp 'map -> (it): read-file it' merge-all

Inspect MongoDB collection as a table

mongoexport -d test -c zips --jsonArray -q '{state: "NY"}' --sort '{pop: -1}' |\
  R identity -o table | less -F

Data: http://media.mongodb.org/zips.json

The result looks something like this:

Create an <img> tag based on identify output

$ identify test.png
test.png PNG 594x472 594x472+0+0 8-bit sRGB 187KB 0.000u 0:00.009

$ img-tag test.png
<img src="test.png" width="594" height="472">

#!/usr/bin/env bash

identify "$1" | R -Rr \
  'match /(^.+?) .+\b(\d+)x(\d+)\b/' \
  'tail' \
  'zip-obj [\src, \width, \height]' \
  'h \img, _' \
  '.outer-HTML' \
  'replace "<\/img>", ""'

I use this to create img tags for retina images with dimensions of half the size (for GitHub READMEs). For that you have to add this after the zip-obj line.

'f=parse-int >> (/ 2); evolve width: f, height: f' \

Get a table of things occurring per minute

By using countBy, we get counts for elements of a list according to how many match the supplied function.

In this case, we pass a function that parses a time field and formats it to %H %M with strftime module.

query-es 'url:catpics' | R -s -o table -c \
  'count-by -> require("strftime")("%R", new Date it.time)'

┌───────┬────┐
│ 11:58 │ 10 │
│ 11:59 │ 26 │
│ 12:00 │ 32 │
│ 12:01 │ 96 │
│ 12:02 │ 80 │
│ 12:03 │ 44 │
│ 12:04 │ 46 │
│ 12:05 │ 66 │
└───────┴────┘

Using ramda-cli with country.json data

Repository: https://github.com/samayo/country.json

git clone [email protected]:samayo/country.json.git

Merge data from multiple json files

cat src/country-{population,continent,domain-tld}.json | R --slurp -o table -c \
  'unnest' \
  'group-by (.country)' \
  'map-obj merge-all' \
  'values'

┌──────────────────────┬────────────┬───────────────┬─────┐
│ country              │ population │ continent     │ tld │
├──────────────────────┼────────────┼───────────────┼─────┤
│ Aruba                │ 103000     │ North America │ .aw │
│ Afghanistan          │ 22720000   │ Asia          │ .af │
│ Angola               │ 12878000   │ Africa        │ .ao │
│ Anguilla             │ 8000       │ North America │ .ai │
│ Albania              │ 3401200    │ Europe        │ .al │
│ Andorra              │ 78000      │ Europe        │ .ad │
│ Netherlands Antilles │ 217000     │ North America │ .an │
│ United Arab Emirates │ 2441000    │ Asia          │ .ae │
│ Argentina            │ 37032000   │ South America │ .ar │
│ Armenia              │ 3520000    │ Asia          │ .am │
└──────────────────────┴────────────┴───────────────┴─────┘

Sort by population and format the number with approximate-number

cat src/country-population.json | R -o table -c \
  'sort-by prop \population'
  'map evolve population: require \approximate-number'
  'reverse'

┌────────────────────┬────────────┐
│ country            │ population │
├────────────────────┼────────────┤
│ China              │ 1.3b       │
│ India              │ 1b         │
│ United States      │ 278m       │
│ Indonesia          │ 212m       │
│ Brazil             │ 170m       │
│ Pakistan           │ 156m       │
│ Russian Federation │ 147m       │
│ Bangladesh         │ 129m       │
│ Japan              │ 127m       │
│ Nigeria            │ 112m       │
└────────────────────┴────────────┘