unsuper.gruntfile.yml

# A service consists of the following fields:
# endPoint      -- REST endpoint, e.g. /rest/service/<endPoint>
# commandLine   -- Command line to run
#                  Some special command line parameters are
#                  #value  -- replace this argument with the parameter from the POST
#                  <in     -- look for an uploaded file
#                  >out    -- the process will generate this file for later download
# description   -- description of the endpoint
# defaults      -- a hashmap of default values for "#value" parameters

# this example configuration file exposes 2 endpoints, echo and copy
# echo simply echos the input and can be called like this:
# curl -X POST  -v --form Message=hi localhost:9901/rest/service/echo

# copy takes input and output files.  <in must be provided
# curl -X POST  -v --form in=#README.md --form output=R.md localhost:9901/rest/service/copy
# NB: "--form input=#README.md" indicates that curl should send README.md as the form parameter "input"
#     and the output filename is set to "R.md"
#
# to retrieve the output data, first find the UUID in the response, and request the file
# wget localhost:9901/rest/job/eab4ab07-c8f7-44f7-b7d8-87dbd7226ea4/file/out
# NB: we request the output file using the "out" parameter, not the filename we requested

# Here is the copy example using jq(http://stedolan.github.io/jq/) to help a bit
#
# id=`curl --silent -X POST --form in=#README.md --form out=small_file.txt localhost:9901/rest/service/copy | jq -r .uuid`
# wget --content-disposition localhost:9901/rest/job/$id/file/output


# This is the hostname:port that the server is running on.
# Used for logging and email
server: localhost:9901

# Working directory
# This is the directory path used for working files. If left blank,
# use a system temp directory.
# NB: To run in the pesscara/grunt docker, this must be set to /data
directory: /data

# Report Warn status to Consul when we have more than warnLevel jobs
warnLevel: 3
# Report Critical status to Consul when we have more than criticalLevel jobs
warnLevel: 5


services:
  - endPoint: noduleclassifier
    commandLine: ["python", "/_model_application.py","-i","<dataset","-o", ">output"]