old_contents: #!/usr/bin/env python
  
  # Currently using raw requests, but could potentially switch to using
  # the AGPLv3 https://github.com/jpmml/openscoring-python
  # convenience wrapper instead
  import requests
  import json
  
  # For the OpenShift demo instance, models are uploaded via the
  # git repo, rather than via
  base_url = "http://openscoring-ncoghlan.rhcloud.com/openscoring/model/"
  
  # Query for a score without any explanatory codes
  
  # Example uses a Drools test case with the following query schema
  # age: double
  # occupation: [ "SKYDIVER", "ASTRONAUT", "PROGRAMMER", "TEACHER", "INSTRUCTOR" ]
  # residenceState: [ "AP", "KN", "TN" ]
  # validLicense: boolean
  score_only_url = base_url + "drools_pmml_test_scorecard"
  
  def score_only_query(data):
      query_url = score_only_url
      body = {
          "id" : "score-only-demo-query",
          "arguments" : data
      }
      response = requests.post(score_only_url, json=body)
      response.raise_for_status()
      return response.json()
  
  score_only_example = {
    "age": 37,
    "occupation": "PROGRAMMER",
    "residenceState": "TN",
    "validLicense": True,
  }
  
  # print(score_only_query(score_only_example))
  
  # Query for a score with explanatory reason codes
  
  # Example uses a Drools test case with the following query schema
  # age: double
  # wage: integer
  # cage: [ "engineering", "marketing", "business" ]
  reason_code_url = base_url + "drools_pmml_test_scorecardOut"
  
  def reason_code_query(data):
      query_url = reason_code_url
      body = {
          "id" : "reason-code-demo-query",
          "arguments" : data
      }
      response = requests.post(reason_code_url, json=body)
      response.raise_for_status()
      return response.json()
  
  reason_code_examples = [
  {
    "age": 37,
    "cage": "engineering",
    "wage": 1500,
  },
  {
    "age": 21,
    "cage": "marketing",
    "wage": 500,
  },
  ]
  
  for example in reason_code_examples:
      print(reason_code_query(example))
  
new_contents: #!/usr/bin/env python
  
  # Currently using raw requests, but could potentially switch to using
  # the AGPLv3 https://github.com/jpmml/openscoring-python
  # convenience wrapper instead
  import requests
  import json
  
  # For the OpenShift demo instance, models are uploaded via the
  # git repo, rather than via
  base_url = "http://openscoring-ncoghlan.rhcloud.com/openscoring/model/"
  
  # Query for a score with explanatory reason codes
  
  # Example uses the following query schema
  # age: double
  # wage: integer
  # role: [ "engineering", "marketing", "business" ]
  reason_code_url = base_url + "risk_example"
  
  def reason_code_query(data):
      query_url = reason_code_url
      body = {
          "id" : "reason-code-demo-query",
          "arguments" : data
      }
      response = requests.post(reason_code_url, json=body)
      response.raise_for_status()
      return response.json()
  
  reason_code_examples = [
  {},
  {
    "age": 37,
    "role": "engineering",
    "wage": 1500,
  },
  {
    "age": 21,
    "role": "marketing",
    "wage": 500,
  },
  ]
  
  for example in reason_code_examples:
      print(reason_code_query(example))
  
subject: Update demo for new example