Doctordata
Installation
Add this line to your application's Gemfile:
gem 'doctordata'
And then execute:
$ bundle install
Or install it yourself as:
$ gem install doctordata
Usage
Create csv text like below:
csv_str = <<EOS
keyA,#commentB,keyC[0],keyC[1]
a1,b1,c11,c12
a2,b2,c21,c22
EOS
Then, parse this to a hash.
Doctordata::Parser.from_csv_str(csv_str)
# => [{"keyA"=>"a1", "keyC"=>["c11", "c12"]}, {"keyA"=>"a2", "keyC"=>["c21", "c22"]}]
You can write keys in the header as www form. If the key starts with #
, it will be ignored.
You also parse an xlsx file:
Doctordata::Parser.from_excel(excel_file_or_path)
# => { "Sheet1" => [{"keyA"=>"a1", "keyC"=>["c11", "c12"]}, {"keyA"=>"a2", "keyC"=>["c21", "c22"]}] }
The result is a Hash. Top level key is sheet name, and value is array as same as csv example.
It skips if the sheet name starts with #
.
Development
After checking out the repo, run bin/setup
to install dependencies. Then, run rake spec
to run the tests. You can also run bin/console
for an interactive prompt that will allow you to experiment.
To install this gem onto your local machine, run bundle exec rake install
. To release a new version, update the version number in version.rb
, and then run bundle exec rake release
, which will create a git tag for the version, push git commits and tags, and push the .gem
file to rubygems.org.
Contributing
Bug reports and pull requests are welcome on GitHub at https://github.com/qsona/doctordata.
License
The gem is available as open source under the terms of the MIT License.