grunt-gss v1.0.4

Save your Google Spreadsheets as CSV or JSON.

Getting Started

This plugin requires Grunt ~0.4.0

If you haven't used Grunt before, be sure to check out the Getting Started guide, as it explains how to create a Gruntfile as well as install and use Grunt plugins. Once you're familiar with that process, you may install this plugin with this command:

npm install grunt-gss --save-dev

Once the plugin has been installed, it may be enabled inside your Gruntfile with this line of JavaScript:

grunt.loadNpmTasks('grunt-gss');

Overview

Google Spreadsheet could be a simple yet powerful front end for average users to preform management to loads of JSON files. A handy tool for CouchDB-backed apps like couch-web.

Setup API key

1. Go to API Console and create a project

• Turn on Drive API in APIS
• Create new client ID in Credentials and setup accordingly: Application type: Web application Authorized Javascript origins: http://localhost/ Authorized redirect URI: http://localhost:4477/
• Under Consent screen, set Email address and Product name
• After the ID is created, you will see your clientId and clientSecret

Share spreadsheet

1. Check out demo file here.
2. key and gid could be found in the URL of your spreadsheet
3. Do it as usual under File > Share
4. Without proper permission set, you will get a File not found error from Google

Task Options

1. clientId and clientSecret are from your Google API key

• json set true to save as JSON, otherwise raw CSV is saved
• prettify works for JSON format only, 2 spaces indention
• typeDetection apply one of these: parseInt, parseFloat, or split(',') Removed since v1.0.0
• mapping an object containing col:type mappings. Possible types are:
• array - split(",")
• number - parseFloat
• string - toString()
• undefined - delete row[col]
• or a callback function accepting (val, row) and returning whatever can be parsed by JSON.parse
• wrap output string will be passed to this callback and the return will be saved

Note 1: If both typeDetection and typeMapping are true, typeDetection will be executed first, and followed by typeMapping overriding the outcome. That is, value passing totypeMapping callback may not be string. Removed since v1.0.0

Note 2: It a col of typeMapping is not found in the CSV at all, and type is a callback funtion, it will be called with (rowObj), and save to output if return value is not undefined. Removed since v1.0.0

The Task

Demo is setup with this sheets.

gss:
  example:
    options:
      # from your Google API key
      clientId: '785010223027.apps.googleusercontent.com'
      clientSecret: 'nwQ2UedRysgbNZl6jE3I77Ji'
      json: true # json or csv
      prettify: true # available if options.json
    files: [
        options:
          mapping: # available if options.json
            col1: 'array'
            col2: 'number'
            col3: 'string'
            col4: 'undefined'
            col5: (val, row) ->
              # 2d array
              val.split('|').map (v) -> v.split ','
            colNotExist: (val, row) ->
              # val is undefined, and since this is the LAST mapping entry,
              # the row obj passed in has already been converted accordingly
              # {col1:["1","2"],col2:123,col3:"string",col5:[["1a","1b"],["2a","2b"]]}
              JSON.stringify row
          wrap: (out) ->
            # grunt.log.error out
            out
        dest: 'test/Sheet1.json'
        src: 'https://docs.google.com/spreadsheets/d/18DpYlL7ey3OTbXnTeDl82wD4ISq6iU2Gv5wCQjJsMuQ/edit#gid=1428256717'
      ,
        options:
          # if false, all other options will be ignored
          json: false
        dest: 'test/Sheet2.csv'
        src: 'https://docs.google.com/spreadsheets/d/18DpYlL7ey3OTbXnTeDl82wD4ISq6iU2Gv5wCQjJsMuQ/edit#gid=1369557937'
    ]

Output Sheet1.json

[
  {
    "col1": [
      "1",
      "2"
    ],
    "col2": 123,
    "col3": "string",
    "col5": [
      [
        "1a",
        "1b"
      ],
      [
        "2a",
        "2b"
      ]
    ],
    "colNotExist": "{\"col1\":[\"1\",\"2\"],\"col2\":123,\"col3\":\"string\",\"col5\":[[\"1a\",\"1b\"],[\"2a\",\"2b\"]]}"
  },
  {
    "col1": [
      "element1",
      "element2"
    ],
    "col2": 24.777,
    "col3": "string2222",
    "col5": [
      [
        "3",
        "4"
      ]
    ],
    "colNotExist": "{\"col1\":[\"element1\",\"element2\"],\"col2\":24.777,\"col3\":\"string2222\",\"col5\":[[\"3\",\"4\"]]}"
  }
]

Output Sheet1.json

col1,col2,col3,col4
234,sheet,yes,no

Release History

• 2014-08-05   v1.0.4   Set 0 as number default instead of null
• 2014-08-04   v1.0.3   Migrate to new googleapis and refactor
• 2014-07-24   v0.6.0   Add option "wrap" to process output before save, and pull request #3
• 2014-07-19   v0.5.1   Create col on the go by type callback
• 2014-07-19   v0.5.0   Add type conversion callback. Remove 2d array support
• 2014-07-14   v0.4.6   Fetch key & gid from new gss urls, dump more useful log
• 2014-03-26   v0.4.5   Fix one more bug about deep copy
• 2014-03-26   v0.4.4   Switch to $.extend for deep copy
• 2014-03-26   v0.4.3   Fix manual array mapping
• 2014-03-07   v0.4.2   Add type boolean
• 2014-02-25   v0.4.1   Add type undefined
• 2014-02-25   v0.4.0   Add files object array to support options per file
• 2014-02-04   v0.3.0   Add typeMapping, new option to enforce field type
• 2014-01-31   v0.2.0   Implement save json, and update options
• 2014-01-29   v0.1.0   Initial release