Using Python to PUT PMML

I have a simple PMML file that I would like to PUT to a scoring server. Here is the curl call:

curl -X PUT --data-binary @DecisionTreeIris.pmml -H "Content-type: text/xml" http://localhost:8080/openscoring/model/DecisionTreeIris

Here is the PMML file:

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<PMML xmlns="http://www.dmg.org/PMML-4_1" version="4.1">
    <Header copyright="Copyright (c) 2013 Vfed" description="RPart Decision Tree Model">
        <Extension extender="Rattle/PMML" name="user" value="Vfed"/>
        <Application name="Rattle/PMML" version="1.2.34r27"/>
        <Timestamp>2013-05-15 22:02:28</Timestamp>
    </Header>
    <DataDictionary numberOfFields="5">
        <DataField name="Species" optype="categorical" dataType="string">
            <Value value="setosa"/>
            <Value value="versicolor"/>
            <Value value="virginica"/>
        </DataField>
        <DataField name="Sepal.Length" optype="continuous" dataType="double"/>
        <DataField name="Sepal.Width" optype="continuous" dataType="double"/>
        <DataField name="Petal.Length" optype="continuous" dataType="double"/>
        <DataField name="Petal.Width" optype="continuous" dataType="double"/>
    </DataDictionary>
    <TreeModel modelName="RPart_Model" functionName="classification" algorithmName="rpart" missingValueStrategy="defaultChild" splitCharacteristic="binarySplit">
        <MiningSchema>
            <MiningField name="Species" usageType="predicted"/>
            <MiningField name="Sepal.Length" usageType="active"/>
            <MiningField name="Sepal.Width" usageType="active"/>
            <MiningField name="Petal.Length" usageType="active"/>
            <MiningField name="Petal.Width" usageType="active"/>
        </MiningSchema>
        <Output>
            <OutputField name="Predicted_Species" optype="categorical" dataType="string" feature="predictedValue"/>
            <OutputField name="Probability_setosa" optype="continuous" dataType="double" feature="probability" value="setosa"/>
            <OutputField name="Probability_versicolor" optype="continuous" dataType="double" feature="probability" value="versicolor"/>
            <OutputField name="Probability_virginica" optype="continuous" dataType="double" feature="probability" value="virginica"/>
            <!-- Custom output field -->
            <OutputField name="Node_Id" optype="categorical" dataType="string" feature="entityId"/>
        </Output>
        <Node id="1" score="setosa" recordCount="150.0" defaultChild="3">
            <True/>
            <ScoreDistribution value="setosa" recordCount="50.0" confidence="0.333333333333333"/>
            <ScoreDistribution value="versicolor" recordCount="50.0" confidence="0.333333333333333"/>
            <ScoreDistribution value="virginica" recordCount="50.0" confidence="0.333333333333333"/>
            <Node id="2" score="setosa" recordCount="50.0">
                <CompoundPredicate booleanOperator="surrogate">
                    <SimplePredicate field="Petal.Length" operator="lessThan" value="2.45"/>
                    <SimplePredicate field="Petal.Width" operator="lessThan" value="0.8"/>
                    <SimplePredicate field="Sepal.Length" operator="lessThan" value="5.45"/>
                    <SimplePredicate field="Sepal.Width" operator="greaterOrEqual" value="3.35"/>
                </CompoundPredicate>
                <ScoreDistribution value="setosa" recordCount="50.0" confidence="1.0"/>
                <ScoreDistribution value="versicolor" recordCount="0.0" confidence="0.0"/>
                <ScoreDistribution value="virginica" recordCount="0.0" confidence="0.0"/>
            </Node>
            <Node id="3" score="versicolor" recordCount="100.0" defaultChild="7">
                <CompoundPredicate booleanOperator="surrogate">
                    <SimplePredicate field="Petal.Length" operator="greaterOrEqual" value="2.45"/>
                    <SimplePredicate field="Petal.Width" operator="greaterOrEqual" value="0.8"/>
                    <SimplePredicate field="Sepal.Length" operator="greaterOrEqual" value="5.45"/>
                    <SimplePredicate field="Sepal.Width" operator="lessThan" value="3.35"/>
                </CompoundPredicate>
                <ScoreDistribution value="setosa" recordCount="0.0" confidence="0.0"/>
                <ScoreDistribution value="versicolor" recordCount="50.0" confidence="0.5"/>
                <ScoreDistribution value="virginica" recordCount="50.0" confidence="0.5"/>
                <Node id="6" score="versicolor" recordCount="54.0">
                    <CompoundPredicate booleanOperator="surrogate">
                        <SimplePredicate field="Petal.Width" operator="lessThan" value="1.75"/>
                        <SimplePredicate field="Petal.Length" operator="lessThan" value="4.75"/>
                        <SimplePredicate field="Sepal.Length" operator="lessThan" value="6.15"/>
                        <SimplePredicate field="Sepal.Width" operator="lessThan" value="2.95"/>
                    </CompoundPredicate>
                    <ScoreDistribution value="setosa" recordCount="0.0" confidence="0.0"/>
                    <ScoreDistribution value="versicolor" recordCount="49.0" confidence="0.907407407407407"/>
                    <ScoreDistribution value="virginica" recordCount="5.0" confidence="0.0925925925925926"/>
                </Node>
                <Node id="7" score="virginica" recordCount="46.0">
                    <CompoundPredicate booleanOperator="surrogate">
                        <SimplePredicate field="Petal.Width" operator="greaterOrEqual" value="1.75"/>
                        <SimplePredicate field="Petal.Length" operator="greaterOrEqual" value="4.75"/>
                        <SimplePredicate field="Sepal.Length" operator="greaterOrEqual" value="6.15"/>
                        <SimplePredicate field="Sepal.Width" operator="greaterOrEqual" value="2.95"/>
                    </CompoundPredicate>
                    <ScoreDistribution value="setosa" recordCount="0.0" confidence="0.0"/>
                    <ScoreDistribution value="versicolor" recordCount="1.0" confidence="0.0217391304347826"/>
                    <ScoreDistribution value="virginica" recordCount="45.0" confidence="0.978260869565217"/>
                </Node>
            </Node>
        </Node>
    </TreeModel>
</PMML>

Not sure that it matters but I am using the Openscoring PMML scoring server.

I'd recommend using the requests library by Kenneth Reitz (GitHub and Docs).

Specifically, there's an example on how to POST files. Use that to construct what you would need.

I'm just assuming here but I would try the following:

import requests

url = 'http://localhost:8080/openscoring/model/DecisionTreeIris'
files = {'file': open('/path/to/file/DecisionTreeIris.pmml', 'rb')}

response = requests.post(url, files=files)

You can also set the headers or anything else you need. requests is dead simple to use and a boon to the Python community. The documentation is excellent and you can usually find examples with a Google/Bing/DuckDuckGo search easily.

I hope that helps!