Project

General

Profile

Task #694

Implement the initial R client and associated tests

Added by Dave Vieglais almost 14 years ago. Updated over 13 years ago.

Status:
Closed
Priority:
High
Assignee:
Category:
d1_client_r
Target version:
Start date:
Due date:
% Done:

100%

Milestone:
None
Product Version:
*
Story Points:
Sprint:

Description

Implement the initial R client and associated tests

History

#1 Updated by Matthew Jones almost 14 years ago

  • Status changed from New to In Progress

#2 Updated by Matthew Jones almost 14 years ago

Initial prototype implemented that shows successful retrieval of data from a Member node (currently uses hardcoded values, and doesn't do anything with the data). Now that proof-of-concept is complete, need to work on full design and implementation.

#3 Updated by Matthew Jones almost 14 years ago

Sample session in R shown here:

$ R

library(d1r)
Loading required package: rJava
d1.get("knb:testid:201017503654464")
restURL: http://localhost:8080/knb/session/?username=uid=kepler,o=unaffiliated,dc=ecoinformatics,dc=org&password=******&qformat=xml&op=login
method: POST
restURL: http://localhost:8080/knb/object/knb:testid:201017503654464?sessionid=A5E408E1D48AFCC75B003B286AB3FAE5
method: GET
r1 "x,y,z\n1,2,3"

#4 Updated by Matthew Jones over 13 years ago

Basic implementation of the D1Client and DataPackage classes is complete. They both pass off method calls to associated Java classes, which handles communication with DataONE. The d1r R client now can create an instance of a D1Client R object, log in and store the associated session token, then use that client to call getPackage, which downloads data form DataONE and loads it into an R DataPackage object. Right now, it assumes the data is a CSV file with a header row, and no metadata is retrieved yet, and the call is made directly to the Member node, rather than first calling resolve on the CN instance. For basic functionality, need to still retrieve associated system and science metadata, extract proper values from that, and then expose these through accessor methods. Also need to use the system and science metadata to determine the type of the data object, and use that to create the right type of R object (ie, don't assume it is a CSV file with one header row).

#5 Updated by Matthew Jones over 13 years ago

Basic R client implemented. Will open new tickets with additional new features and redesigns.

Also available in: Atom PDF

Add picture from clipboard (Maximum size: 14.8 MB)