type-analyzer
v0.4.0
Published
Infer types from columns in JSON
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type-analyzer
Infer data types from CSV columns.
Overview
This package provides a single interface for generating the datatype for a given row-column formatted dataset. We support the following datatypes:
- DATE
- TIME
- DATETIME
- NUMBER
- INT
- FLOAT
- CURRENCY
- PERCENT
- STRING
- ARRAY
- OBJECT
- ZIPCODE
- BOOLEAN
- GEOMETRY
- GEOMETRY_FROM_STRING
- PAIR_GEOMETRY_FROM_STRING
- NONE
Installation
npm install type-analyzer
Usage
Analyzer.computeColMeta(data, rules, options)
(Function)
Parameters
data
Array required An array of row objectrules
Array optional An array of custom regex rulesoptions
Object optional Option objectoptions.ignoreDataTypes
Array optional Data types to ignore
var Analyzer = require('type-analyzer').Analyzer;
var data = [
{
"ST_AsText": "MULTIPOLYGON (((30 20, 45 40, 10 40, 30 20)), ((15 5, 40 10, 10 20, 5 10, 15 5)))",
"name": "san_francisco",
"lat": "37.7749295",
"lng": "-122.4194155",
"launch_date": "2010-06-05",
"added_at": "2010-06-05 12:00"
},
{
"ST_AsText": "MULTIPOLYGON (((30 20, 45 40, 10 40, 30 20)), ((15 5, 40 10, 10 20, 5 10, 15 5)))",
"name": "paris",
"lat": "48.856666",
"lng": "2.3509871",
"launch_date": "2011-12-04",
"added_at": "2010-06-05 12:00"
},
]
var colMeta = Analyzer.computeColMeta(data);
rules
You can pass in an array of custom rules. For example. if you want to ensure that a column full of ids represented as numbers is identified as a column of strings. Rules can be matched with either exact name
of the column, or regex
used to match names. Note: Analyzer prefers rules using name over regex since better performance.
var Analyzer = require('type-analyzer').Analyzer;
var colMeta = Analyzer.computeColMeta(data, [{name: 'id', dataType: 'STRING'}]);
// or
var colMeta = Analyzer.computeColMeta(data, [{regex: /id/, dataType: 'STRING'}]);
options.ignoreDataTypes
You can also pass in ignoreDataTypes
to ignore certain types. This will improve your type checking performance.
var DATA_TYPES = require('type-analyzer').DATA_TYPES;
var colMeta = Analyzer.computeColMeta(arr, [], {ignoredDataTypes: DATA_TYPES.CURRENCY})[0].type,
And it will short cut around the usual analysis system and give you back the column formatted as you'd expect.
DATA_TYPES
You can import all availale types as a constant.
Update
Breaking changes with v1.0.0: Regex has moved into src, but can more easily be accessed from the module.exports from the root. As part of a larger clean up many extraneous util files were removed.