comparison chess_preprocessor.xml @ 0:4d2a2268a17a draft

"planemo upload"

0:4d2a2268a17a

<tool id="chess_preprocessor" name="CHESS Pre-processing Tool" version="0.1.0">
  <description>for pre-processing raw data</description>
  <requirements>
      <requirement type="package" version="0.8.4">hexrd</requirement>
  </requirements>
  <command><![CDATA[
    #import os.path

    ##source ~/.bashrc;conda activate pulsar;
    ##source ~/.bashrc; conda activate __hexrd@0.8.0; 
    mkdir -p output;
    cd output;
    #set $history_id=$__app__.security.encode_id($output.creating_job.history.id)
    echo '$history_id' >> '$output';

    #if $input_source_conditional.input_source == "input_source_history"
        #set $input_type = $input_source_conditional.input_type_conditional.input_type
        #if $input_type == "single"
            #set $input_data = $input_source_conditional.input_type_conditional.fastq_input1
        #elif $input_type == "list_collection"
            #set $input_data = $input_source_conditional.input_type_conditional.fastq_input
        #end if#

        #set $var = ""
        #for $f in $input_data# 
           #set $var += "${f}\n" 
        #end for#
        #set files = '\\n'.join([str($file) for $file in $input_data])
        ##for $f in $input_data# 
            #if $output_as_list == "Yes"
                ##printf "$files"   >> '$output_list_log' 2>&1;
                printf "$files" | xargs -n 1 -P \${GALAXY_SLOTS} -I{} python  '$__tool_directory__/preprocess_dexela_h5_galaxy.py' {}  -o '$ome_start' -s '$start_frame' -n '$num_frames' -e '$ome_end' -t '$threshold'   >> '$output_list_log' 2>&1;
            #elif $output_as_list == "No"
                printf "$files" | xargs -n 1 -P \${GALAXY_SLOTS} -I{} python  '$__tool_directory__/preprocess_dexela_h5_galaxy.py' {}  -o '$ome_start' -s '$start_frame' -n '$num_frames' -e '$ome_end' -t '$threshold'   >> '$output' 2>&1;
            #end if#
        ##end for#
    #elif $input_source_conditional.input_source == "input_source_linux"
        #set $scans = [i for a in [(int(j[0]),int(j[-1])+1) for j in [x.split(':') for x in $input_source_conditional.scan_numbers.split(',')]] for i in range(a[0],a[1])]
        ##set $scanlist = '\n'.join($scans)

        #for $n in $scans#
            #if $output_as_list == "Yes"
                echo '$input_source_conditional.base_dir' >> '$output_list_log';
		python  '$__tool_directory__/preprocess_dexela_h5_filesystem.py' '$input_source_conditional.base_dir' '$input_source_conditional.expt_name' '$input_source_conditional.samp_name' '$n' -o '$ome_start' -s '$start_frame' -n '$num_frames' -e '$ome_end' -t '$threshold'   >> '$output_list_log' 2>&1;
            #elif $output_as_list == "No"
                echo '$input_source_conditional.base_dir' >> '$output';
		python  '__tool_directory__/preprocess_dexela_h5_filesystem.py' '$input_source_conditional.base_dir' '$input_source_conditional.expt_name' '$input_source_conditional.samp_name' '$n' -o '$ome_start' -s '$start_frame' -n '$num_frames' -e '$ome_end' -t '$threshold'   >> '$output' 2>&1;
            #end if#
        #end for#
    #end if#
    conda deactivate    
  ]]></command>
  <inputs>
    <!--
    <param name="infile_" type="data" multiple="true" label="Any file"/>
    -->
    <conditional name="input_source_conditional">
        <param name="input_source" type="select" label="Location of raw data">
            <option value="input_source_history" selected="true">Choose from History panel</option>
            <option value="input_source_linux">Specify a directory in CHESS file system </option>
        </param>
        <when value="input_source_history">
            <conditional name="input_type_conditional">
            <param name="input_type" type="select" label="Input raw data as">
                <option value="list_collection" selected="true">List of Datasets</option>
                <option value="single">Dataset(s)</option>
            </param>
            <when value="single">
                <param name="fastq_input1" type="data" multiple="true" label="Select (a) raw data file(s)" help="Specify (a) raw data file(s) for pre-processing"/>
            </when>
            <when value="list_collection">
                <param name="fastq_input" type="data_collection" collection_type="list" label="Select a list of raw data files" help="Specify a list of raw data files for pre-processing one by one"/>
            </when>
            </conditional>
        </when>
        <when value="input_source_linux">
             <param name="base_dir" type="text" label="Please specify the directory that contains raw data">
                 <sanitizer>
                     <valid initial="string.ascii_letters,string.digits">
                         <add value="#,/,*,@,.,_,-" />
                         <add value="_" />
                     </valid>
                 </sanitizer>
             </param>
             <param name="expt_name" type="text" label="Please specify the experiment name"/>
             <param name="samp_name" type="text" label="Please specify the sample name"/>
             <param name="scan_numbers" type="text" label="Please specify a scan number or scan numbers separated by comma (for example, 5,7,8,9,20,21,22,23,30 or 5,7:9,20:23,30)"/>
        </when>
    </conditional>
      <!--
    <param name="which_cluster" type="select" label="Send your job to below cluster">
      <option value="SDSC" selected="true">SDSC</option>
      <option value="Cornell" selected="true">Cornell CHESS</option>
    </param>
      -->
    <!--
    <param name="output_dir" type="text" hidden="true"/>
    -->
    <param name="num_frames" type="integer" value="999"  label="Number of frames to read"/>
    <param name="start_frame" type="integer" value="0"  label="Index of first data frame"/>
    <param name="threshold" type="integer" value="50"  label="Threshold for frame caches"/>
    <param name="ome_start" type="float" value="-50.0"  label="Start omega"/>
    <param name="ome_end" type="float" value="49.9"  label="End omega"/>
    <param name="output_as_list" type="select" label="Would you like the tool to output result(s) as a list?">
      <option value="Yes" selected="true">Yes. Let the results be contained in a list.</option>
      <option value="No" >No. Show them individually.</option>
    </param>
  </inputs>
  <outputs>
    <data format="txt" name="output_list_log" label="${tool.name} on ${on_string}">
        <!--filter>input_type_conditional['input_type'] == 'single'</filter-->
        <filter>output_as_list == 'Yes'</filter>
    </data>
    <!--
    <collection name="output_list" type="list" label="${tool.name} on ${on_string}: processed_data" structured_like="fastq_input" format="npz">
    <collection name="output_list" type="list" label="${tool.name} on ${on_string}: processed_data" format="npz">
    -->
    <collection name="output_list" type="list" label="${tool.name} on ${on_string}: processed_data">
        <!-- discover_datasets pattern="__name_and_ext__" directory="output" ext="npz" visible="false"/-->
        <discover_datasets pattern="(?P&lt;designation&gt;.+)\.npz" ext="hexrd.npz" directory="output"/>
        <!--discover_datasets pattern="(?P&lt;designation&gt;.+)\.npz" ext="npz" directory="output"/-->
        <!--discover_datasets pattern="(?P&lt;designation&gt;.npz)" ext="hexrd.npz" directory="output"/-->
        <!--filter>input_type_conditional['input_type'] == 'list_collection'</filter-->
        <filter>output_as_list == 'Yes'</filter>
    </collection>
    <data  format="txt"  name="output" label="${tool.name} on ${on_string}">
        <discover_datasets pattern="(?P&lt;designation&gt;.+)\.npz"  directory="output" ext="hexrd.npz" visible="true" />
        <filter>output_as_list == 'No'</filter>
    </data>
    <!--data format="txt" name="output_list" label="${tool.name} on ${on_string}: listfiles">
        <filter>input_type_conditional['input_type'] == 'list_collection'</filter>
    </data -->
  </outputs>
</tool>