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@peter_marklund/json

v0.0.11

Published

A convenient way to work with JSON using JavaScript in the terminal

Readme

json - JavaScript based JSON CLI

An npm package that provides a convenient way to use JavaScript to work with JSON in the terminal. This tool is for those of us who like jq but prefer JavaScript over jq syntax.

Installation

npm install @peter_marklund/json -g

Usage

json [javascript-code] [input-json-file]

The JSON data is typically passed to the json command via stdin but can also be passed as a file path via the second argument. The first argument to the json command is a string with JavaScript code to be evaluated. All lodash functions (i.e. pick, pickBy, groupBy, mapValues, sum etc.) are available as are a number of helper functions. It is also possible to provide custom JavaScript helper functions via the JSON_HELPERS_PATH environment variable.

Environment variables for configuration:

  • JSON_OUTPUT - determines how output is serialized and the default value is json_pretty. Valid values are: json, json_pretty, raw, jsonl
  • JSON_STRINGIFIER - what function/library is used to stringify. The default value is stable and this means the fast-json-stable-stringify library is used to yield stable/sorted output but this can be changed to JSON.stringify by setting JSON_STRINGIFIER=default
  • JSON_HELPERS_PATH - path to a JavaScript file that exports custom helper functions
  • JSON_DEBUG - enable debug logging by setting JSON_DEBUG=true

Get the value at a path:

echo '{"foo": "1"}' | json .foo

Get the keys of a JSON object:

cat test/input/basic.json | json 'Object.keys(data)'
# [
#   "foo",
#   "bar",
#   "baz",
#   "nested",
#   "data"
# ]

Get the length of an array:

cat test/input/basic.json | json '.data.length'
# 3

Use lodash functions:

cat test/input/basic.json | json '.data.map(d => pick(d, ["value"]))'
# [
#   {
#     "value": 100
#   },
#   {
#     "value": 200
#   },
#   {
#     "value": 300
#   }
# ]

Use the flattenJson helper to find the path of a deeply nested value:

cat test/input/basic.json | json 'flattenJson(data)'
# {
#   "bar": "Hello world",
#   "baz": false,
#   "data.0.id": 1,
#   "data.0.name": "Item 1",
#   "data.0.value": 100,
#   "data.1.id": 2,
#   "data.1.name": "Item 2",
#   "data.1.value": 200,
#   "data.2.id": 3,
#   "data.2.name": "Item 3",
#   "data.2.value": 300,
#   "foo": 1,
#   "nested.foo.bar": "nested value"
# }

Use the stats helper function to get min/max/avg/median/p90 etc. for numerical values

cat test/input/basic.json | json 'data.data.map(d => d.value)' | json 'stats(data)'
# {
#   "avg": 200,
#   "count": 3,
#   "max": 300,
#   "min": 100,
#   "p1": 102,
#   "p10": 120,
#   "p20": 140,
#   "p30": 160,
#   "p40": 180,
#   "p5": 110,
#   "p50": 200,
#   "p60": 220,
#   "p70": 240,
#   "p80": 260,
#   "p90": 280,
#   "p95": 290,
#   "p99": 298,
#   "p999": 299.79999999999995,
#   "stdDev": 81.64965809277261,
#   "sum": 600
# }

Use lodash groupBy with stats:

cat test/input/data.json| json 'groupBy(data, "name")' | json 'mapValues(data, items => items.map(i => i.value))' | json 'mapValues(data, d => pick(stats(d), ["p90"]))'
# {
#   "Name 1": {
#     "p90": 370
#   },
#   "Name 2": {
#     "p90": 290
#   },
#   "Name 3": {
#     "p90": 500
#   }
# }

Colorized pretty printing is the default

cat test/input/array.json | json
# [
#   {
#     "id": 1,
#     "name": "Item 1",
#     "value": 100
#   },
#   {
#     "id": 2,
#     "name": "Item 2",
#     "value": 200
#   },
#   {
#     "id": 3,
#     "name": "Item 3",
#     "value": 300
#   }
# ]

Without pretty printing (single line):

cat test/input/basic.json | JSON_OUTPUT=json json
# {"bar":"Hello world","baz":false,"data":[{"id":1,"name":"Item 1","value":100},{"id":2,"name":"Item 2","value":200},{"id":3,"name":"Item 3","value":300}],"foo":1,"nested":{"foo":{"bar":"nested value"}}}

JSONL output (for an array with one JSON object per line)

cat test/input/array.json | JSON_OUTPUT=jsonl json 
# {"id":1,"name":"Item 1","value":100}
# {"id":2,"name":"Item 2","value":200}
# {"id":3,"name":"Item 3","value":300}

The json command can take JSONL as input as well:

cat test/input/array.jsonl | json

The json command can also parse JSON data at the end of log lines:

cat test/input/log-with-json.log | json
# [
#   {
#     "_line": "192.168.1.1 - - [21/Feb/2026:10:00:01 +0000] \"GET /api/users HTTP/1.1\" 200 ",
#     "cache": "hit",
#     "duration_ms": 42,
#     "user_id": 1021
#   },
#   {
#     "_line": "192.168.1.2 - - [21/Feb/2026:10:00:03 +0000] \"POST /api/orders HTTP/1.1\" 201 ",
#     "cache": "miss",
#     "duration_ms": 87,
#     "user_id": 4432
#   },
#   ...
# ]

Using custom helper functions via the JSON_HELPERS_PATH env var and a javascript module with exported functions:

echo '{"values1": [1, 2, 3, 4], "values2": [3, 5, 1, 11]}' | JSON_HELPERS_PATH="$(pwd)/test/custom-helpers.js" json 'correlation(data.values1, data.values2)'
# 0.5976143046671968

Running the Tests

npm install
npm link
npm test

Testing with a Fairly Large Log File

aws logs tail "/ecs/redshift-stats-api" --region eu-west-1 --since 24h > ~/tmp/stats-api-logs-24h.log
du -sh ~/tmp/stats-api-logs-24h.log
# 260M
wc -l ~/tmp/stats-api-logs-24h.log 
# 159909
cat ~/tmp/stats-api-logs-24h.log | JSON_DEBUG=true bin/json.js 
# Error thrown parsing line: 2026-02-23T07:00:50.227000+00:00...
cat ~/tmp/stats-api-logs-24h.log | bin/json.js '.filter(l => l._lineError)' | bin/json.js .length
# 1
cat ~/tmp/stats-api-logs-24h.log | bin/json.js .length
# 159909
cat ~/tmp/stats-api-logs-24h.log | bin/json.js ".filter(l => l.message?.startsWith('Request completed'))" | bin/json.js .length
# 52036
cat ~/tmp/stats-api-logs-24h.log | bin/json.js ".filter(l => l.message?.startsWith('Request completed'))" | bin/json.js ".map(l => l.elapsedMs)" | bin/json.js 'stats(data)'
# {
#   "avg": 832.9978092090091,
#   "count": 52036,
#   "max": 34356,
#   "min": 0,
#   "p1": 6,
#   "p10": 240.5,
#   "p20": 307,
#   "p30": 339,
#   "p40": 366,
#   "p5": 163,
#   "p50": 405,
#   "p60": 457,
#   "p70": 537,
#   "p80": 651,
#   "p90": 980,
#   "p95": 1411,
#   "p99": 15266.65000000006,
#   "p999": 27161.019999999902,
#   "stdDev": 2409.9373583352394,
#   "sum": 43345874
# }

Publishing a new Version

npm login
npm publish --access public

Prior Art