I am writing a ruby script to accept an input file that is a CSV. I want to make a pretty JSON file. I feel that I am so close but I can't seem to get there. My original project was in JS but the requirements have changed to make it a Ruby file.
My input file looks like this
item id,description,price,cost,price_type,quantity_on_hand,size_1_name,size_1_price,size_2_name,size_2_price,size_3_name,size_3_price
one thing to note is that some of the values in the CSV file maybe missing because it doesn't exist.
require 'csv'
require 'json'
def is_int(str)
return !!(str =~ /^[-+]?[1-9]([0-9]*)?$/)
end
lines = CSV.open(ARGV[0],{:col_sep => ","}).readlines
# remove first entry of the lines array
keys = lines.shift
lines.each do |values|
# convert the line into a hash and transform string into int
#hash=Hash[keys.zip(values.map{|val| is_int(val) ? val.to_i : val}) ]
hash = keys.zip(values.map{ val})
# Write a file with the hash results
File.open("#{hash['NAME']}.json", "w") do |f|
f.write JSON.pretty_generate [hash]
end
end
The output I am trying to get is
[
{
id: 111010,
description: 'Coffee',
price: 1.25,
cost: 0.80,
price_type: 'system',
quantity_on_hand: 100000,
modifiers: [
{
name: 'Small',
price: -0.25
},{
name: 'Medium',
price: 0.00
},{
name: 'Large',
price: 0.30
}
]
the version of Ruby I'm using is 2.0.0p481
Error was
usr/lib/ruby/2.0.0/csv.rb:1254:in `initialize': no implicit conversion of nil into String (TypeError)
from /usr/lib/ruby/2.0.0/csv.rb:1254:in `open'
from /usr/lib/ruby/2.0.0/csv.rb:1254:in `open'
from stockimporter.rb:8:in `<main>'
csv.csv:
id,description,price,cost,price_type,quantity_on_hand,size_1_name,size_1_price,size_2_name,size_2_price,size_3_name,size_3_price
111010,Coffee,1.25,0.80,system,10000,Small,-0.25,Medium,0.00,Large,0.30
111011,Tea,1.00,0.50,system,100,Small,-0.10,Medium,0.00,Large,0.10
111012,MissingInfo,1.00,0.50,,100,,,Medium,,Large,0.10
...
require 'csv'
require 'pp'
require 'json'
csv_options = {
headers: true, #skip first line of csv file
converters: [:numeric] #convert strings that look like integers or floats to integers or floats
}
results = []
CSV.foreach('csv.csv', csv_options) do |row|
record = Hash[row.take(6)]
modifiers = [
{
name: row["size_1_name"],
price: row["size_1_price"]
},
{
name: row["size_2_name"],
price: row["size_2_price"],
},
{
name: row["size_3_name"],
price: row["size_3_price"]
}
]
record['modifiers'] = modifiers
results << record
end
pp results
--output:--
[{"id"=>111010,
"description"=>"Coffee",
"price"=>1.25,
"cost"=>0.8,
"price_type"=>"system",
"quantity_on_hand"=>10000,
"modifiers"=>
[{:name=>"Small", :price=>-0.25},
{:name=>"Medium", :price=>0.0},
{:name=>"Large", :price=>0.3}]},
{"id"=>111011,
"description"=>"Tea",
"price"=>1.0,
"cost"=>0.5,
"price_type"=>"system",
"quantity_on_hand"=>100,
"modifiers"=>
[{:name=>"Small", :price=>-0.1},
{:name=>"Medium", :price=>0.0},
{:name=>"Large", :price=>0.1}]},
{"id"=>111012,
"description"=>"MissingInfo",
"price"=>1.0,
"cost"=>0.5,
"price_type"=>nil,
"quantity_on_hand"=>100,
"modifiers"=>
[{:name=>nil, :price=>nil},
{:name=>"Medium", :price=>nil},
{:name=>"Large", :price=>0.1}]}]
json = JSON.pretty_generate(results)
puts json
--output:--
[
{
"id": 111010,
"description": "Coffee",
"price": 1.25,
"cost": 0.8,
"price_type": "system",
"quantity_on_hand": 10000,
"modifiers": [
{
"name": "Small",
"price": -0.25
},
{
"name": "Medium",
"price": 0.0
},
{
"name": "Large",
"price": 0.3
}
]
},
{
"id": 111011,
"description": "Tea",
"price": 1.0,
"cost": 0.5,
"price_type": "system",
"quantity_on_hand": 100,
"modifiers": [
{
"name": "Small",
"price": -0.1
},
{
"name": "Medium",
"price": 0.0
},
{
"name": "Large",
"price": 0.1
}
]
},
{
"id": 111012,
"description": "MissingInfo",
"price": 1.0,
"cost": 0.5,
"price_type": null,
"quantity_on_hand": 100,
"modifiers": [
{
"name": null,
"price": null
},
{
"name": "Medium",
"price": null
},
{
"name": "Large",
"price": 0.1
}
]
}
]
You could also do it like this:
CSV.foreach('csv.csv', csv_options) do |row|
record = Hash[row.take(6)]
price_adjustments = row.drop(6)
# [["size_1_name", "Small"], ["size_1_price", -0.25]]
# |---------------------------------------------------|
# ^
# |
modifiers = price_adjustments.each_slice(2).map do |size_price|
size_price.first[0] = 'name'
size_price.last[0] = 'price'
Hash[size_price]
end
p modifiers #e.g. [{"name"=>"Small", "price"=>-0.25}, {"name"=>"Medium", "price"=>0.0}, {"name"=>"Large", "price"=>0.3}]
record['modifiers'] = modifiers
results << record
end
pp results
Related
I have this rake task which uses rest-client to fetch some messy JSON from this API, and then uses hashie to make the code prettier.
Unfortunately I'm unable to fetch one of the deeply nested values, productGroup. If working correctly, it should output :category => "Jeans" or similar. Please see the JSON at the bottom.
This did not work:
mash.deep_fetch(:fields, 0).deep_locate(-> (key, value, object) { value.include?("product_group") }) { "ERROR: category" }
Example output:
% rake get_products
{:category=>nil, :name=>"Luxurous Jumpsuit", :image=>"http://nlyscandinavia.scene7.com/is/image/nlyscandinavia/productLarge/129579-0012.jpg", :price=>"599", :description=>"Lorem ipsum dolor"}
Example mash:
#<Hashie::Mash brand="Dr Denim" categories=[#<Hashie::Mash name="Kvinne > KLÆR > Jeans > Slim">] description="Lorem ipsum dolor." fields=[#<Hashie::Mash name="sale" value="false">, #<Hashie::Mash name="product_id_original" value="226693-7698">, #<Hashie::Mash name="gender" value="Kvinne">, #<Hashie::Mash name="artNumber" value="226693-7698">, #<Hashie::Mash name="productGroup" value="Jeans">, #<Hashie::Mash name="productStyle" value="Slim">, #<Hashie::Mash name="extraImageProductSmall" value="http://nlyscandinavia.scene7.com/is/image/nlyscandinavia/cart_thumb/226693-7698.jpg">, #<Hashie::Mash name="productClass" value="Klær">, #<Hashie::Mash name="extraImageProductLarge" value="http://nlyscandinavia.scene7.com/is/image/nlyscandinavia/productLarge/226693-7698.jpg">, #<Hashie::Mash name="sizes" value="W24/L32,W25/L32,W26/L32,W27/L32,W28/L32,W29/L32,W30/L32,W31/L32,W32/L32,W26/L30,W27/L30,W28/L30,W29/L30,W24/L30,W25/L30,W32/L30,W31/L30,W30/L30">, #<Hashie::Mash name="color" value="Mid Blue">] identifiers=#<Hashie::Mash sku="226693-7698"> language="no" name="Regina Jeans" offers=[#<Hashie::Mash feed_id=10086 id="2820760a-c5b2-494a-b5dd-ab713f796cb9" in_stock=1 modified=1474947357838 price_history=[#<Hashie::Mash date=1474949513421 price=#<Hashie::Mash currency="NOK" value="599">>] product_url="http://pdt.tradedoubler.com/click?a1234" program_logo="http://hst.tradedoubler.com/file/17833/2014-logos/200X200.png" program_name="Nelly NO" source_product_id="226693-7698">] product_image=#<Hashie::Mash url="http://nlyscandinavia.scene7.com/is/image/nlyscandinavia/productLarge/226693-7698.jpg">>
get_products.rake:
# encoding: utf-8
# Gets messy JSON from other store via REST client and cleans it up with Hashie
require "rest_client"
require "hashie"
Product = Struct.new(:category, :name, :image, :price, :description)
module ProductsFromOtherStore
CATEGORIES = [
"festkjoler",
"jakker",
"jeans",
"jumpsuit",
"vesker"
]
def self.fetch
CATEGORIES.map do |category|
Tradedoubler.fetch category
end
end
# Prettify, ie. `fooBar` => `foo_bar`
def self.prettify(x)
case x
when Hash
x.map { |key, value| [key.underscore, prettify(value)] }.to_h
when Array
x.map { |value| prettify(value) }
else
x
end
end
end
class ProductsFromOtherStore::Tradedoubler
KEY = "FE34B1309AB749F1578AEE87D9D74535513F6B54"
# Products to fetch from API
LIMIT = 2
def self.fetch category
new(category).filtered_products.take(LIMIT)
rescue RestClient::RequestTimeout => e
Array.new
end
def initialize category
#category = category
# API doesn't support gender or category searches, so do some filtering based on available JSON fields
#filters = Array.new
define_filter { |mash|
mash.fields.any? { |field|
field.name == "gender" && field.value.downcase == "kvinne"
}
}
define_filter { |mash|
mash.categories.any? { |category|
category.name.underscore.include? #category
}
}
end
def define_filter(&filter)
#filters << filter
end
def filtered_products
filtered_mashes.map { |mash|
# puts mash
Product.new(
# mash.deep_fetch(:fields, 0).find { |field| field[:name] == "product_group" }[:value],
mash.deep_fetch(:fields, 0).deep_locate(-> (key, value, object) { value.include?("product_group") }) { "ERROR: category" },
mash.deep_fetch(:name) { "ERROR: name" },
mash.deep_fetch(:product_image, :url) { "ERROR: image URL" },
mash.deep_fetch(:offers, 0, :price_history, 0, :price, :value) { "ERROR: price" },
mash.deep_fetch(:description) { "ERROR: description" }
)
}
end
private
def request
response = RestClient::Request.execute(
:method => :get,
:url => "http://api.tradedoubler.com/1.0/products.json;q=#{ URI.encode(#category) };limit=#{ LIMIT }?token=#{ KEY }",
:timeout => 0.4
)
end
def hashes
ProductsFromOtherStore.prettify(JSON.parse(request)["products"])
end
def mashes
hashes.map { |hash| Hashie::Mash.new(hash) }.each do |mash|
mash.extend Hashie::Extensions::DeepFetch
mash.extend Hashie::Extensions::DeepLocate
end
end
def filtered_mashes
mashes.select { |mash| mash_matches_filter? mash }
end
def mash_matches_filter? mash
# `.all?` requires all filters to match, `.any?` requires only one
#filters.all? { |filter| filter.call mash }
end
end
# All that for this
task :get_products => :environment do
#all_products_from_all_categories = ProductsFromOtherStore.fetch
#all_products_from_all_categories.each do |products|
products.each do |product|
puts product.to_h
end
end
end
The messy JSON we got via rest-client:
{
"productHeader": {
"totalHits": 367
},
"products": [{
"name": "501 CT Jeans For Women",
"productImage": {
"url": "http://nlyscandinavia.scene7.com/is/image/nlyscandinavia/productLarge/441576-1056.jpg"
},
"language": "no",
"description": "Jeans fra Levi's. Noe kortere nederst, fem lommer. Normal høyde på midjen, med hemper i linningen og knappegylfen. Dekorative slitte partier foran og nederst på benet.<br />Laget av 100% bomull.",
"brand": "Levis",
"identifiers": {
"sku": "441576-1056"
},
"fields": [{
"name": "sale",
"value": "false"
}, {
"name": "sizes",
"value": "W24/L32,W25/L32,W26/L32,W27/L32,W28/L32,W29/L32,W30/L32,W31/L32,W25/L34,W26/L34,W27/L34,W28/L34,W29/L34,W30/L34"
}, {
"name": "productStyle",
"value": "Straight"
}, {
"name": "gender",
"value": "Kvinne"
}, {
"name": "product_id_original",
"value": "441576-1056"
}, {
"name": "productGroup",
"value": "Jeans"
}, {
"name": "extraImageProductLarge",
"value": "http://nlyscandinavia.scene7.com/is/image/nlyscandinavia/productLarge/441576-1056.jpg"
}, {
"name": "extraImageProductSmall",
"value": "http://nlyscandinavia.scene7.com/is/image/nlyscandinavia/cart_thumb/441576-1056.jpg"
}, {
"name": "artNumber",
"value": "441576-1056"
}, {
"name": "productClass",
"value": "Klær"
}, {
"name": "color",
"value": "Indigo"
}],
"offers": [{
"feedId": 10086,
"productUrl": "http://pdt.tradedoubler.com/click?a(2402331)p(80279)product(57d37b9ce4b085c06c38c96b)ttid(3)url(http%3A%2F%2Fnelly.com%2Fno%2Fkl%C3%A6r-til-kvinner%2Fkl%C3%A6r%2Fjeans%2Flevis-441%2F501-ct-jeans-for-women-441576-1056%2F)",
"priceHistory": [{
"price": {
"value": "1195",
"currency": "NOK"
},
"date": 1473477532181
}],
"modified": 1473477532181,
"inStock": 1,
"sourceProductId": "441576-1056",
"programLogo": "http://hst.tradedoubler.com/file/17833/2014-logos/200X200.png",
"programName": "Nelly NO",
"id": "57d37b9ce4b085c06c38c96b"
}],
"categories": [{
"name": "Kvinne > KLÆR > Jeans > Straight"
}]
}, {
"name": "501 CT Jeans For Women",
"productImage": {
"url": "http://nlyscandinavia.scene7.com/is/image/nlyscandinavia/productLarge/441576-6581.jpg"
},
"language": "no",
"description": "Jeans fra Levi's. Noe kortere nederst, fem lommer. Normal høyde på midjen, med hemper i linningen og knappegylfen. Dekorative slitte partier foran og nederst på benet.<br />Laget av 100% bomull.",
"brand": "Levis",
"identifiers": {
"sku": "441576-6581"
},
"fields": [{
"name": "sale",
"value": "false"
}, {
"name": "artNumber",
"value": "441576-6581"
}, {
"name": "productStyle",
"value": "Straight"
}, {
"name": "gender",
"value": "Kvinne"
}, {
"name": "extraImageProductLarge",
"value": "http://nlyscandinavia.scene7.com/is/image/nlyscandinavia/productLarge/441576-6581.jpg"
}, {
"name": "extraImageProductSmall",
"value": "http://nlyscandinavia.scene7.com/is/image/nlyscandinavia/cart_thumb/441576-6581.jpg"
}, {
"name": "productGroup",
"value": "Jeans"
}, {
"name": "product_id_original",
"value": "441576-6581"
}, {
"name": "productClass",
"value": "Klær"
}, {
"name": "color",
"value": "Desert"
}, {
"name": "sizes",
"value": "W24/L32,W25/L32,W26/L32,W27/L32,W28/L32,W29/L32,W30/L32,W31/L32,W25/L34,W26/L34,W27/L34,W28/L34,W29/L34,W30/L34,W31/L34"
}],
"offers": [{
"feedId": 10086,
"productUrl": "http://pdt.tradedoubler.com/click?a(2402331)p(80279)product(57b3cafbe4b06cf59bc254bf)ttid(3)url(http%3A%2F%2Fnelly.com%2Fno%2Fkl%C3%A6r-til-kvinner%2Fkl%C3%A6r%2Fjeans%2Flevis-441%2F501-ct-jeans-for-women-441576-6581%2F)",
"priceHistory": [{
"price": {
"value": "1195",
"currency": "NOK"
},
"date": 1471400699283
}],
"modified": 1471400699283,
"inStock": 1,
"sourceProductId": "441576-6581",
"programLogo": "http://hst.tradedoubler.com/file/17833/2014-logos/200X200.png",
"programName": "Nelly NO",
"id": "57b3cafbe4b06cf59bc254bf"
}],
"categories": [{
"name": "Kvinne > KLÆR > Jeans > Straight"
}]
}]
}
There is a lot of things going on in your code sample. I tried to split in parts and restructure it. It does not do the same as your code but I think it should get you started and perhaps you can come back when you have a more specific question.
Note that I did not use hashie, I think that accessing some deeply nested hash structures in a few places does not justify adding a new library to a project.
Questions/Ideas/Hints:
are prices Integers or Floats?
Is the JSON consistent (all elements present all the time?)
Are you using Ruby 2.3? Then look into Hash#dig
Why did you prettify the JSON keys? Does not make sense to me as you build Product objects to work with anyway?
Unless there are performance issues i would convert all products to Ruby objects first and filter then. Just easier and more readable.
Code
Product (same as yours)
Product = Struct.new(:category, :name, :image, :price, :description)
JsonProductBuilder converts the parsed JSON to Product Objects.
class JsonProductBuilder
def initialize(json)
#json = json
end
def call
json.fetch('products', []).map do |item|
Product.new(
extract_category(item),
item['name'],
item.fetch('productImage', {})['url'],
extract_price(item),
item['description']
)
end
end
private
attr_reader :json
def extract_category(item)
field = item['fields'].find do |field|
field['name'] == 'productGroup'
end
field['value'] if field
end
def extract_price(item)
offer = item['offers'].first
history = offer['priceHistory'].first
value = history['price']['value']
Integer(value) # Or use Float?
end
end
CategoryFilter returns a limited subset of the products. You can easily add other filters and combine them. Perhaps you might want to look into lazy for performance improvements.
class CategoryFilter
def initialize(products, *categories)
#products = products
#categories = categories
end
def call
products.select do |product|
categories.include?(product.category)
end
end
private
attr_reader :products, :categories
end
Use it like this:
limit = 10
categories = ['laptop', 'something']
params = {
q: categories.join(','),
limit: limit,
}
paramsString = params.map do |key, value|
"#{key}=#{value}"
end.join(';')
response = RestClient.get(
"http://api.tradedoubler.com/1.0/products.json;#{paramsString}?token=#{token}"
)
json = JSON.parse(response)
products = JsonProductBuilder.new(json).call
puts products.size
products = CategoryFilter.new(products, 'Klær', 'Sko', 'Jeans').call
puts products.size
products.each do |product|
puts product.to_h
end
This is my JSON code
{
"jobs": [
{
"id": 1,
"title": "Software Developer",
"applicants": [
{
"id": 1,
"name": "Rich Hickey",
"tags": ["clojure", "java", "immutability", "datomic", "transducers"]
},
{
"id": 2,
"name": "Guido van Rossum",
"tags": ["python", "google", "bdfl", "drop-box"]
}
]
},
{
"id": 2,
"title": "Software Architect",
"applicants": [
{
"id": 42,
"name": "Rob Pike",
"tags": ["plan-9", "TUPE", "go", "google", "sawzall"]
},
{
"id": 2,
"name": "Guido van Rossum",
"tags": ["python", "google", "bdfl", "drop-box"]
},
{
"id": 1337,
"name": "Jeffrey Dean",
"tags": ["spanner", "BigTable", "MapReduce", "deep learning", "massive clusters"]
}
]
}
]
}
I want to put the list of "Jobs" in an array using ruby.
I have the following code so far.
require 'json'
file = File.read(filepath)
data_hash = JSON.parse(file)
How do I iterate on the data_hash and chose what information I want and place it in an array?
You can use Array#each because data_hash['jobs'] contains an array of jobs:
data_hash['jobs'].each {|job| ... }
Like this,
arr = Array.new
data_hash.each { |job|
arr.insert(job['name'])
}
use Array#map for shorter code
data_hash['jobs'].map do |job|
# Do whatever you want with the job here
properties = %w(title applicants)
job.select{ |key| properties.include?(key) }
end
I have a large nested hash in the form below. I need to loop through and pull out the name and url of each repository, but I can't seem to do that. Any suggestions?
Code snippet:
repo_json = get_touched_repos()
repo_hash = JSON.parse(repo_json)
puts repo_hash.class
puts repo_hash['repositories'][0]['name']
The hash:
{
"repositories": [
{
"type": "repo",
"username": "...",
"name": "....",
"owner": "...",
"homepage": "",
"description": "description",
"language": "Java",
"watchers": 2,
"followers": 2,
"forks": 1,
"size":
"open_issues": 0,
"score": 1.0,
"has_downloads": true,
"has_issues": true,
"has_wiki": true,
"fork": false,
"private": false,
"url": "http://my.domain.com/repo/name",
"created": "2012-07-02T17:47:54Z",
"created_at": "2012-07-02T17:47:54Z",
"pushed_at": "2014-03-20T20:09:38Z",
"pushed": "2014-03-20T20:09:38Z"
},
{....}
]
}
You can use Array#each method to do this
repo_hash['repositories'].each do |repo|
puts repo['name']
puts repo['url']
end
To get the names and the URLs in a hash:
name_url_pairs = repo_hash['repositories'].collect do |repo|
{ name: repo['name'], url: repo['url] }
end
Update: Returning a small hash with several extracted values.
Another approach to index by name:
name_hash = Hash[
repo_hash['repositories'].collect do |repo|
[ repo['name'], repo['url'] ]
end
]
I'm really new to working with JSON in Ruby, and am having a hard time figuring out why a script I'm running is generating blank lines as a result. Let's say that I'm parsing a file where one element is not always present. I want to check if that element exists, and depending on the result name variables in a specific way. Here is what I've been trying
require 'rubygems'
require 'json'
file = File.open("/path/to/file.json", encoding: 'UTF-8')
json = file.read
data = JSON.parse(json)
if data["snapshots"][-1]["responses"][2].nil?
item = something
elseif
item = something else
end
puts item
This is not generating an error, but is just producing a blank line. I'm sure I'm doing something obvious wrong, but would appreciate any help. Thanks!
Your main problem is that you had elseif instead of elsif
Full code using the JSON you provided below:
require 'json'
json = <<EOS
{
"snapshots": [
{
"steps": 10,
"responses": [
{
"tokens": [
"Answer"
],
"questionPrompt": "Question1?"
},
{
"tokens": [
"Answer"
],
"questionPrompt": "Question2?"
},
{
"locationResponse": {
"location": {
"speed": 0,
"timestamp": "2014-04-20T17: 28: 37-0400",
"longitude": "-xx.xxxxxxx",
"latitude": "xx.xxxxxx",
"verticalAccuracy": 3,
"course": 0,
"horizontalAccuracy": 5
},
"text": "Response"
},
"questionPrompt": "Question3?"
},
{
"tokens": [
"Answer"
],
"questionPrompt": "Question4?"
}
],
"battery": 0.75,
"sectionIdentifier": "1-2014-5-7",
"audio": {
"avg": -49.84988,
"peak": -39.73056
},
"background": 0,
"date": "2014-05-07T23: 20: 57-0400",
"location": {
"speed": -1,
"placemark": {
"subAdministrativeArea": "County",
"subLocality": "CityName",
"thoroughfare": "Street",
"administrativeArea": "xx",
"subThoroughfare": "xxx",
"postalCode": "xxxxx",
"region": "<+xx.xxxxxx",
"radius": 28.13,
"country": "UnitedStates",
"locality": "CityName",
"name": "Address"
},
"timestamp": "2014-05-07T23: 20: 58-0400",
"longitude": "-xx.xxxxxxx",
"latitude": "xx.xxxxxxx",
"verticalAccuracy": 10,
"course": 0,
"horizontalAccuracy": 65
},
"dwellStatus": 0,
"weather": {
"relativeHumidity": "68%",
"visibilityKM": 16.1,
"tempC": 13.3,
"precipTodayIn": 0,
"windKPH": 0,
"latitude": 40.813984,
"windDegrees": 159,
"stationID": "xxxxxxxx",
"visibilityMi": 10,
"pressureIn": 30.2,
"pressureMb": 1023,
"feelslikeF": 55.9,
"windGustKPH": 12.4,
"longitude": -77.895775,
"feelslikeC": 13.3,
"precipTodayMetric": 0,
"tempF": 55.9,
"windDirection": "SSE",
"dewpointC": 8,
"uv": 0,
"weather": "Overcast",
"windGustMPH": 7.7,
"windMPH": 0
},
"connection": 1,
"sync": 0,
"reportImpetus": 0,
"draft": 0
}
]
}
EOS
data = JSON.parse(json)
if data["snapshots"][-1]["responses"][2].nil?
item = "was nil"
elsif # THIS WAS elseif before
item = "NOT nil"
end
puts item
CSV
id,modifier1_name,modifier2_price,modifier2_name,modifier2_price,modifier2_status
1,'Small',10,'Large',20,'YYY'
2,'Small',20,'Large',30,'YYY'
JSON
[
{
id: 1,
modifier: [
{name: 'Small', price: 10},
{name: 'Large', price: 20, status: 'YYY'}]
},
{
id: 2,
modifier: [
{name: 'Small', price: 20},
{name: 'Large', price: 30, status: 'YYY'}],
}
]
How to convert CSV to Json in this case when modifiers can be different ?
You will need to map the modifiers yourself, as there is no built-in method to map hash values into an array from your logic:
JSON.pretty_generate(CSV.open('filename.csv', headers: true).map do |row|
modifier = {}
row.each do |k, v|
if k =~ /modifier(.)_(.*)$/
(modifier[$1] ||= {})[$2] = v
end
end
{ id: row['id'],
modifier: modifier.sort_by { |k, v| k }.map {|k, v| v }
}
end)
For the file*
id,modifier1_name,modifier1_price,modifier2_name,modifier2_price,modifier2_status
1,Small,10,Large,20,YYY
2,Small,20,Large,30,YYY
*I made some changes to the file you show, since it will not give you the required result - you state modifier2_price twice, for example
You will get:
[
{
"id": "1",
"modifier": [
{
"name": "Small",
"price": "10"
},
{
"name": "Large",
"price": "20",
"status": "YYY"
}
]
},
{
"id": "2",
"modifier": [
{
"name": "Small",
"price": "20"
},
{
"name": "Large",
"price": "30",
"status": "YYY"
}
]
}
]
require 'csv'
require 'json'
CSV.open('filename.csv', :headers => true).map { |x| x.to_h }.to_json