annotate inference/chapmlaas.xml @ 161:f524e7c848f6 draft

planemo upload for repository https://github.com/CHESSComputing/ChessAnalysisPipeline commit bd55c86b9f7bfabff0bbec1f10704850fec82f02-dirty
author ximgchess
date Fri, 30 Jun 2023 15:48:59 +0000
parents 49985da419b8
children
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1 <tool id="CHAP_inference_demo" name="CHAP MLaaS" version="@TOOL_VERSION@+galaxy@VERSION_SUFFIX@" python_template_version="@PYTHON_TEMPLATE_VERSION@" profile="@PROFILE@">
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2 <macros>
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3 <import>../macros.xml</import>
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4 </macros>
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5 <requirements>
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6 <requirement type="package" version="2.28.2">requests</requirement>
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7 <expand macro="chap-requirement" />
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8 </requirements>
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9 <command detect_errors="exit_code"><![CDATA[
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10 cp '$input' data.csv &&
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11 cp '$image' img.png &&
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12 CHAP --config '$config' &&
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13 cp preds.json '$output'
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14 ]]></command>
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15 <inputs>
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16 <param type="data" name="config" format="yaml" />
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17 <param type="data" name="input" format="csv" />
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18 <param type="data" name="image" format="png" />
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19 </inputs>
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20 <outputs>
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21 <data name="output" format="json" />
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22 </outputs>
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23 <tests>
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24 <test>
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25 <param name="config" value="config.yaml"/>
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26 <param name="input" value="data.csv"/>
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27 <param name="image" value="img.png"/>
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28 </test>
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29 </tests>
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30 <help><![CDATA[
0
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31 CHESS Analysis Pipeline (CHAP) with Machine Learning as a Service (MLaaS)
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33 To run it you need the following:
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34 1. Working TFaaS server
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35 2. A pipeline config with TFaaS, e.g.
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37 pipeline:
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38 - reader.Reader:
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39 filename: data.csv
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40 - processor.Processor: {}
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41 - reader.BinaryFileReader:
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42 filename: img.png
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43 - processor.TFaaSImageProcessor:
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44 url: "http://localhost:8083"
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45 model: mnist
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46 verbose: true
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47 - writer.Writer:
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48 filename: preds.json
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49
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50 ]]></help>
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51 <citations>
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52 <expand macro="chap-citation" />
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53 </citations>
0
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54 </tool>