tool_factory_2: README.txt comparison

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author	iuc
date	Tue, 07 Apr 2015 10:29:55 -0400
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+# WARNING before you start
+# Install this tool on a private Galaxy ONLY
+# Please NEVER on a public or production instance
+# updated august 2014 by John Chilton adding citation support
+#
+# updated august 8 2014 to fix bugs reported by Marius van den Beek
+# please cite the resource at
+http://bioinformatics.oxfordjournals.org/cgi/reprint/bts573?ijkey=lczQh1sWrMwdYWJ&keytype=ref
+# if you use this tool in your published work.
+*Short Story*
+This is an unusual Galaxy tool capable of generating new Galaxy tools.
+It works by exposing *unrestricted* and therefore extremely dangerous scripting
+to all designated administrators of the host Galaxy server, allowing them to
+run scripts in R, python, sh and perl over multiple selected input data sets,
+writing a single new data set as output.
+*Differences between TF2 and the original Tool Factory*
+1. TF2 (this one) allows any number of either fixed or user-editable parameters to be defined
+for the new tool. If these are editable, the user can change them but otherwise, they are passed
+as fixed and invisible parameters for each execution. Obviously, there are substantial security
+implications with editable parameters, but these are always sanitized by Galaxy's inbuilt
+parameter sanitization so you may need to "unsanitize" characters - eg translate all "__lt__"
+into "<" for certain parameters where that is needed. Please practise safe toolshed.
+2. Any number of (the same datatype) of input files may be defined.
+These changes substantially complicate the way your supplied script is supplied with
+all the new and variable parameters. Examples in each scripting language are shown
+in the tool help
+*Automated outputs in named sections*
+If your script writes to the current directory path, arbitrary mix of (eg)
+pdfs, tabular analysis results and run logs,the tool factory can optionally
+auto-generate a linked Html page with separate sections showing a thumbnail
+grid for all pdfs and the log text, grouping all artifacts sharing a file
+name and log name prefix::
+eg: if "foo.log" is emitted then *all* other outputs matching foo_* will
+all be grouped together - eg
+foo_baz.pdf
+foo_bar.pdf and
+foo_zot.xls
+would all be displayed and linked in the same section with foo.log's contents
+- to form the "Foo" section of the Html page.  Sections appear in alphabetic
+order and there are no limits on the number of files or sections.
+*Automated generation of new Galaxy tools for installation into any Galaxy*
+Once a script is working correctly, this tool optionally generates a
+new Galaxy tool, effectively freezing the supplied script into a new,
+ordinary Galaxy tool that runs it over one or more input files selected by
+the user. Generated tools are installed via a tool shed by an administrator
+and work exactly like all other Galaxy tools for your users.
+If you use the Html output option, please ensure that sanitize_all_html is
+set to False and uncommented in universe_wsgi.ini - it should show::
+# By default, all tool output served as 'text/html' will be sanitized
+sanitize_all_html = False
+This opens potential security risks and may not be acceptable for public
+sites where the lack of stylesheets may make Html pages damage onlookers'
+eyeballs but should still be correct.
+*More Detail*
+To use the ToolFactory, you should have prepared a script to paste into a
+text box, and a small test input example ready to select from your history
+to test your new script.
+There is an example in each scripting language on the Tool Factory form. You
+can just cut and paste these to try it out - remember to select the right
+interpreter please. You'll also need to create a small test data set using
+the Galaxy history add new data tool.
+If the script fails somehow, use the "redo" button on the tool output in
+your history to recreate the form complete with broken script. Fix the bug
+and execute again. Rinse, wash, repeat.
+Once the script runs sucessfully, a new Galaxy tool that runs your script
+can be generated. Select the "generate" option and supply some help text and
+names. The new tool will be generated in the form of a new Galaxy datatype
+- toolshed.gz - as the name suggests, it's an archive ready to upload to a
+Galaxy ToolShed as a new tool repository.
+Once it's in a ToolShed, it can be installed into any local Galaxy server
+from the server administrative interface.
+Once the new tool is installed, local users can run it - each time, the script
+that was supplied when it was built will be executed with the input chosen
+from the user's history. In other words, the tools you generate with the
+ToolFactory run just like any other Galaxy tool,but run your script every time.
+Tool factory tools are perfect for workflow components. One input, one output,
+no variables.
+*To fully and safely exploit the awesome power* of this tool,
+Galaxy and the ToolShed, you should be a developer installing this
+tool on a private/personal/scratch local instance where you are an
+admin_user. Then, if you break it, you get to keep all the pieces see
+https://bitbucket.org/fubar/galaxytoolfactory/wiki/Home
+** Installation **
+This is a Galaxy tool. You can install it most conveniently using the
+administrative "Search and browse tool sheds" link. Find the Galaxy Main
+toolshed at https://toolshed.g2.bx.psu.edu/ and search for the toolfactory
+repository. Open it and review the code and select the option to install it.
+(
+If you can't get the tool that way, the xml and py files here need to be
+copied into a new tools
+subdirectory such as tools/toolfactory Your tool_conf.xml needs a new entry
+pointing to the xml
+file - something like::
+<section name="Tool building tools" id="toolbuilders">
+<tool file="toolfactory/rgToolFactory.xml"/>
+</section>
+If not already there (I just added it to datatypes_conf.xml.sample),
+please add:
+<datatype extension="toolshed.gz" type="galaxy.datatypes.binary:Binary"
+mimetype="multipart/x-gzip" subclass="True" />
+to your local data_types_conf.xml.
+)
+Of course, R, python, perl etc are needed on your path if you want to test
+scripts using those interpreters. Adding new ones to this tool code should
+be easy enough. Please make suggestions as bitbucket issues and code. The
+HTML file code automatically shrinks R's bloated pdfs, and depends on
+ghostscript. The thumbnails require imagemagick .
+* Restricted execution *
+The tool factory tool itself will then be usable ONLY by admin users -
+people with IDs in admin_users in universe_wsgi.ini **Yes, that's right. ONLY
+admin_users can run this tool** Think about it for a moment. If allowed to
+run any arbitrary script on your Galaxy server, the only thing that would
+impede a miscreant bent on destroying all your Galaxy data would probably
+be lack of appropriate technical skills.
+*What it does* This is a tool factory for simple scripts in python, R and
+perl currently. Functional tests are automatically generated. How cool is that.
+LIMITED to simple scripts that read one input from the history. Optionally can
+write one new history dataset, and optionally collect any number of outputs
+into links on an autogenerated HTML index page for the user to navigate -
+useful if the script writes images and output files - pdf outputs are shown
+as thumbnails and R's bloated pdf's are shrunk with ghostscript so that and
+imagemagik need to be available.
+Generated tools can be edited and enhanced like any Galaxy tool, so start
+small and build up since a generated script gets you a serious leg up to a
+more complex one.
+*What you do* You paste and run your script, you fix the syntax errors and
+eventually it runs. You can use the redo button and edit the script before
+trying to rerun it as you debug - it works pretty well.
+Once the script works on some test data, you can generate a toolshed compatible
+gzip file containing your script ready to run as an ordinary Galaxy tool in
+a repository on your local toolshed. That means safe and largely automated
+installation in any production Galaxy configured to use your toolshed.
+*Generated tool Security* Once you install a generated tool, it's just
+another tool - assuming the script is safe. They just run normally and their
+user cannot do anything unusually insecure but please, practice safe toolshed.
+Read the fucking code before you install any tool. Especially this one -
+it is really scary.
+If you opt for an HTML output, you get all the script outputs arranged
+as a single Html history item - all output files are linked, thumbnails for
+all the pdfs. Ugly but really inexpensive.
+Patches and suggestions welcome as bitbucket issues please?
+copyright ross lazarus (ross stop lazarus at gmail stop com) May 2012
+all rights reserved
+Licensed under the LGPL if you want to improve it, feel free
+https://bitbucket.org/fubar/galaxytoolfactory/wiki/Home
+Material for our more enthusiastic and voracious readers continues below -
+we salute you.
+**Motivation** Simple transformation, filtering or reporting scripts get
+written, run and lost every day in most busy labs - even ours where Galaxy is
+in use. This 'dark script matter' is pervasive and generally not reproducible.
+**Benefits** For our group, this allows Galaxy to fill that important dark
+script gap - all those "small" bioinformatics tasks. Once a user has a working
+R (or python or perl) script that does something Galaxy cannot currently do
+(eg transpose a tabular file) and takes parameters the way Galaxy supplies
+them (see example below), they:
+1. Install the tool factory on a personal private instance
+2. Upload a small test data set
+3. Paste the script into the 'script' text box and iteratively run the
+insecure tool on test data until it works right - there is absolutely no
+reason to do this anywhere other than on a personal private instance.
+4. Once it works right, set the 'Generate toolshed gzip' option and run
+it again.
+5. A toolshed style gzip appears ready to upload and install like any other
+Toolshed entry.
+6. Upload the new tool to the toolshed
+7. Ask the local admin to check the new tool to confirm it's not evil and
+install it in the local production galaxy
+**Simple examples on the tool form**
+A simple Rscript "filter" showing how the command line parameters can be
+handled, takes an input file, does something (transpose in this case) and
+writes the results to a new tabular file::
+# transpose a tabular input file and write as a tabular output file
+ourargs = commandArgs(TRUE)
+inf = ourargs[1]
+outf = ourargs[2]
+inp = read.table(inf,head=F,row.names=NULL,sep='\t')
+outp = t(inp)
+write.table(outp,outf, quote=FALSE, sep="\t",row.names=F,col.names=F)
+Calculate a multiple test adjusted p value from a column of p values -
+for this script to be useful, it needs the right column for the input to be
+specified in the code for the given input file type(s) specified when the
+tool is generated ::
+# use p.adjust - assumes a HEADER row and column 1 - please fix for any
+real use
+column = 1 # adjust if necessary for some other kind of input
+fdrmeth = 'BH'
+ourargs = commandArgs(TRUE)
+inf = ourargs[1]
+outf = ourargs[2]
+inp = read.table(inf,head=T,row.names=NULL,sep='\t')
+p = inp[,column]
+q = p.adjust(p,method=fdrmeth)
+newval = paste(fdrmeth,'p-value',sep='_')
+q = data.frame(q)
+names(q) = newval
+outp = cbind(inp,newval=q)
+write.table(outp,outf, quote=FALSE, sep="\t",row.names=F,col.names=T)
+Another Rscript example without any input file - generates a random heatmap
+pdf - you must make sure the option to create an HTML output file is
+turned on for this to work. The heatmap will be presented as a thumbnail
+linked to the pdf in the resulting HTML page::
+# note this script takes NO input or output because it generates random data
+foo = data.frame(a=runif(100),b=runif(100),c=runif(100),d=runif(100),
+e=runif(100),f=runif(100))
+bar = as.matrix(foo)
+pdf( "heattest.pdf" )
+heatmap(bar,main='Random Heatmap')
+dev.off()
+A Python example that reverses each row of a tabular file. You'll need
+to remove the leading spaces for this to work if cut and pasted into the
+script box. Note that you can already do this in Galaxy by setting up the
+cut columns tool with the correct number of columns in reverse order,but
+this script will work for any number of columns so is completely generic::
+# reverse order of columns in a tabular file
+import sys
+inp = sys.argv[1]
+outp = sys.argv[2]
+i = open(inp,'r')
+o = open(outp,'w')
+for row in i:
+rs = row.rstrip().split('\t')
+rs.reverse()
+o.write('\t'.join(rs))
+o.write('\n')
+i.close()
+o.close()
+Galaxy as an IDE for developing API scripts
+If you need to develop Galaxy API scripts and you like to live dangerously,
+please read on.
+Galaxy as an IDE?
+Amazingly enough, blend-lib API scripts run perfectly well *inside*
+Galaxy when pasted into a Tool Factory form. No need to generate a new
+tool. Galaxy+Tool_Factory = IDE I think we need a new t-shirt. Seriously,
+it is actually quite useable.
+Why bother - what's wrong with Eclipse
+Nothing. But, compared with developing API scripts in the usual way outside
+Galaxy, you get persistence and other framework benefits plus at absolutely
+no extra charge, a ginormous security problem if you share the history or
+any outputs because they contain the api script with key so development
+servers only please!
+Workflow
+Fire up the Tool Factory in Galaxy.
+Leave the input box empty, set the interpreter to python, paste and run an
+api script - eg working example (substitute the url and key) below.
+It took me a few iterations to develop the example below because I know
+almost nothing about the API. I started with very simple code from one of the
+samples and after each run, the (edited..) api script is conveniently recreated
+using the redo button on the history output item. So each successive version
+of the developing api script you run is persisted - ready to be edited and
+rerun easily. It is ''very'' handy to be able to add a line of code to the
+script and run it, then view the output to (eg) inspect dicts returned by
+API calls to help move progressively deeper iteratively.
+Give the below a whirl on a private clone (install the tool factory from
+the main toolshed) and try adding complexity with few rerun/edit/rerun cycles.
+Eg tool factory api script
+import sys
+from blend.galaxy import GalaxyInstance
+ourGal = 'http://x.x.x.x:xxxx'
+ourKey = 'xxx'
+gi = GalaxyInstance(ourGal, key=ourKey)
+libs = gi.libraries.get_libraries()
+res = []
+# libs looks like
+# u'url': u'/galaxy/api/libraries/441d8112651dc2f3', u'id':
+u'441d8112651dc2f3', u'name':.... u'Demonstration sample RNA data',
+for lib in libs:
+res.append('%s:\n' % lib['name'])
+res.append(str(gi.libraries.show_library(lib['id'],contents=True)))
+outf=open(sys.argv[2],'w')
+outf.write('\n'.join(res))
+outf.close()
+**Attribution**
+Creating re-usable tools from scripts: The Galaxy Tool Factory
+Ross Lazarus; Antony Kaspi; Mark Ziemann; The Galaxy Team
+Bioinformatics 2012; doi: 10.1093/bioinformatics/bts573
+http://bioinformatics.oxfordjournals.org/cgi/reprint/bts573?ijkey=lczQh1sWrMwdYWJ&keytype=ref
+**Licensing**
+Copyright Ross Lazarus 2010
+ross lazarus at g mail period com
+All rights reserved.
+Licensed under the LGPL
+**Obligatory screenshot**
+http://bitbucket.org/fubar/galaxytoolmaker/src/fda8032fe989/images/dynamicScriptTool.png

Mercurial > repos > iuc > tool_factory_2

comparison README.txt @ 0:2ac21c27018a draft default tip