Edifunct
Fun with EDIFACT :tada:
EDIFACT files consist of segments and extracting the segments themselves is not too complex. But when segments are being grouped in segment groups and nested segment groups, it would require having an additional, manual parsing step after extracting the segments. This gem makes this easy by parsing the EDIFACT file according to a simple schema which you provide alongside the EDIFACT file.
Installation
Add this line to your application's Gemfile:
gem 'edifunct'And then execute:
$ bundleOr install it yourself as:
$ gem install edifunctUsage
An example EDIFACT file:
UNB+UNOC:4+5790000110018:14+SEAFT.AFT006+20151012:1354+31'
UNH+45689+IFTSTA:D:10B:UN'
BGM+77+YSTSE-39237+9'
DTM+137:20150820:203'
DTM+2:20150820:102'
DTM+234:20150820:102'
CNI+1+DSVS41599'
CNT+7:9:KGM'
STS++Z1+5+8+38+108'
RFF+BN:123456'
RFF+ZTF:9F'
RFF+CU:8008331140'
RFF+AAS:7481947187'
RFF+SRN:57065930000021747'
RFF+AAM:40157065930100420983'
RFF+ASI:FM807287'
DTM+334:201508201020:203'
FTX+AHN+++Collect remarks1:2:3:4:5'
NAD+AP'
CTA+GR+:DONALD DRIVER'
NAD+CZ+++UAE LOGISTICS AB+BOX 1001:SE-164 21 KISTA+KISTA++164 21+SE'
NAD+CN+++SIERSEMA+KEURWEG 2:.:NL 5145 NX 5145 NX WAALWIJK+5145 NX WAALWIJK++5145 NX+NL'
NAD+DP+++BYGMA KOLDING+GEJLHAVEGÅRD 2 A:DK-6000 KOLDING+KOLDING++6000+DK'
NAD+PW+++NAUTISK TEKNIK APS+FARUMVEJ 107, GANLØSE:V/MARTIN KRISTENSEN:DK-3660 STENLØSE+STENLØSE++3660+DK'
NAD+ST+123456++ALFA LAVAL KOLDING A/S+31 ALBUEN:DK-6000 KOLDING+KOLDING++6000+DK'
NAD+SF+789456++SANISTAL SIA+Tiraines iela 9+Riga++1058+LV'
LOC+Z01+SELAA::6:SELAA LANDSKRONA'
GID+1+1:PK'
LOC+14+LANDSKRONA'
MEA+WT+AAB+KGM:100'
MEA+WT+ADZ+KGM:90'
MEA+VOL++MTQ:2'
MEA+LMT++MTR:4'
MEA+CT+SQ+PLL:5'
DIM+1+MTR:0.2:0.1:0.1'
PCI+17'
GIN+BN+00073000093496312546:00073000090414361624+00073000090414361631:00073000090414361648+00073000090414361655:00073000093496312539+00073000123496312546:00073000053496312546+00073000093496312789:00073000093496312684'
PCI+18'
GIN+AW+373999991234567899:373323995756893927+373323995780867383:373323995756893927+373323995859384889:373323995859360043+373323995859387804:373323995859387811+373323995859387842:373323995859392068'
UNT+18+45689'
UNZ+1+31'A schema can be described entirely in JSON. An example schema for the EDIFACT file above could look like this:
[
{ "type": "segment", "segment_tag": "UNB" },
{ "type": "segment", "segment_tag": "UNH" },
{ "type": "segment", "segment_tag": "BGM" },
{ "type": "segment", "segment_tag": "DTM", "repeat": true },
{
"type": "segment_group",
"group_name": "SG13",
"content": [
{ "type": "segment", "segment_tag": "CNI" },
{ "type": "segment", "segment_tag": "CNT", "repeat": true },
{
"type": "segment_group",
"group_name": "SG14",
"content": [
{ "type": "segment", "segment_tag": "STS" },
{ "type": "segment", "segment_tag": "RFF", "repeat": true },
{ "type": "segment", "segment_tag": "DTM", "repeat": true },
{ "type": "segment", "segment_tag": "FTX", "repeat": true },
{
"type": "segment_group",
"group_name": "SG15",
"content": [
{ "type": "segment", "segment_tag": "NAD" },
{
"type": "segment_group",
"group_name": "SG16",
"content": [
{ "type": "segment", "segment_tag": "CTA" }
]
}
]
},
{ "type": "segment", "segment_tag": "LOC" },
{
"type": "segment_group",
"group_name": "SG23",
"content": [
{ "type": "segment", "segment_tag": "GID" },
{ "type": "segment", "segment_tag": "LOC", "repeat": true },
{
"type": "segment_group",
"group_name": "SG24",
"content": [
{ "type": "segment", "segment_tag": "MEA" }
]
},
{
"type": "segment_group",
"group_name": "SG25",
"content": [
{ "type": "segment", "segment_tag": "DIM" }
]
},
{
"type": "segment_group",
"group_name": "SG26",
"content": [
{ "type": "segment", "segment_tag": "PCI" },
{ "type": "segment", "segment_tag": "GIN", "repeat": true }
]
}
]
}
]
}
]
},
{ "type": "segment", "segment_tag": "UNT" },
{ "type": "segment", "segment_tag": "UNZ" }
]Now we are ready to parse the EDIFACT file:
# iftsta_example_as_string: EDIFACT file (String)
# iftsta_schema: Schema (Array<Hash>)
iftsta_example = Edifunct.parse(iftsta_example_as_string, schema: iftsta_schema)
iftsta_example.lookup_groups('SG13').each_with_object({}) do |group, consignments|
sg14 = group.lookup_group('SG14')
next unless sg14
rff_cu_record = sg14.lookup_segment('RFF') { |s| s.data_elements[0] && s.data_elements[0][0] == 'CU' }
next unless rff_cu_record
dtm_record = sg14.lookup_segment('DTM')
next unless dtm_record
sts_record = sg14.lookup_segment('STS')
next unless sts_record
consignment_ref = rff_cu_record.data_elements[0][1]
consignments[consignment_ref] = [
{
status: sts_record.data_elements[1][0],
event_time: dtm_record.data_elements[0][1],
}
]
end
# => {"8008331140"=>[{:status=>"Z1", :event_time=>"201508201020"}]}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/orhantoy/edifunct.