Re: [galaxy-dev] restricted data upload from server folder

2015-04-08 Thread Ross
Libraries can help manage access and data doesn't need to be copied into
Galaxy:
https://wiki.galaxyproject.org/Admin/DataLibraries/UploadingLibraryFiles?highlight=%28directory%29%7C%28library%29

On 8 April 2015 at 18:12, De Smet Matthias matthias.des...@uzgent.be
wrote:

  Hey Galaxy-dev’s,


  I’m completely new to galaxy, but I am tasked with a small scale
 deployment project.
 I am looking for an alternate option to upload data to galaxy. All data
 from our sequencers is stored on a NAS, which is accessible by the galaxy
 server. I would like to make it so that the users can only select data from
 that folder, to eliminate the need to transfer data through the client to
 the server.

  Is there any way to do this? Or am I making this to hard on myself?

  Sincerely


  *Matthias De Smet*
  Centrum voor Medische Genetica
  De Pintelaan 185 - 9000 Gent

  matthias.des...@uzgent.be  tel.: +32 (0)9 332 0296
 http://www.cmgg.be


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Re: [galaxy-dev] Partial automation for generating those twisty R dependency tool shed installation sequences

2015-01-20 Thread Ross
In case anyone needs to prepare a complete set of twisty R/BioC
dependencies in the right order for automated toolshed installation,
https://testtoolshed.g2.bx.psu.edu/view/fubar/biocdepgen_r_3_1_2 contains a
dependency package generator for the iuc package_r_3_1_2 - eg for DESeq2,
you end up with 46 dependent tarballs in addition to DESeq2 itself !!!

Please, DO NOT install this on a public instance - like the tool factory 2
it's intended only for tool development on throw away instances.

Not much documentation - set the tardir to where you want the tarballs
saved, the XML and path prefix needed before the tarball name in
tool_dependencies.xml to point to where the toolshed should download those
packages from (I use a github repo eg) and the names of all the R/BioC
packages showing in sessionInfo() as other attached packages after your R
script has run successfully.

I hope this helps minimise the pain for other tool developers.
Let me know how you go, or if anyone wants specific versions for other r
base packages please.



On Tue, Jan 20, 2015 at 8:06 PM, Ross ross.laza...@gmail.com wrote:

 Hi Bjorn,
 Thanks for caring :)

 R/Bioc dependencies are determined by the target R package.
 This realisation made me change tool factory 2 in the test toolshed so it
 now allows R (or perl or python - not bash!) dependency package_r_
 selection. It still allows the local system R but that's not recommended
 for anything reproducible.
 The generated tool will always use that R and so I can generate an RBioC
 dependency generator using that script
 https://wiki.galaxyproject.org/SetUpREnvironment for any available
 toolshed package_r_
 Feedback always appreciated...


 On Sun, Jan 18, 2015 at 9:25 PM, Björn Grüning bjoern.gruen...@gmail.com
 wrote:

 Hi Ross,

 Am 13.01.2015 um 00:13 schrieb Ross:
  Hi  Björn,
  I'm a bit old fashioned and think I prefer a proper Galaxy tool rather
 than
  a notebook :)

 :)

  So I've set up a temporary demonstration/test site of a
  toolfactory generated tool that does what I think I need - can some kind
  soul please test it and let me know how it goes ? If it's useful, it
 needs
  to be adjusted to depend on whatever version of package_R you want to
 work
  with - currently just uses the system R for demonstration purposes.
 
  I used the toolfactory2 (main toolshed) (which now allows any number of
  (optionally non editable) parameters!!!) to wrap the script shown at the
  bottom of https://wiki.galaxyproject.org/SetUpREnvironment. There are
  currently three parameters - the names of the R/BioC packages from
  sessionInfo(), the local directory where all the tarballs should be
 stowed
  and the XML output prefix to prepend to each row of the generated XML
  stanza for tool_dependencies.xml
 
  The resulting toolshed tarball was uploaded to a local toolshed and then
  installed to produce a new tool in the tool generators section
  - r_bioc_depgen Generate dependencies for R/BioC packages
 
  If you import the history at
 http://130.56.252.21/history/list_published
  you will see the toolfactory job (#1,#2,#3) - rerunning will show how
 the
  parameters are defined - fugly but it does work.
  After generating/uploading/installing the new tool, outputs from a test
 run
  are in #4 and #5 for DESeq

 This is cool!
 I have to try this on a few packages!
 This could also be of interest for our GSOC idea:

 https://wiki.galaxyproject.org/Develop/GSOC/2015Ideas#Fostering_Bioconductor_Collaborations

 Thanks Ross for working on this!
 Bjoern

  Comments and suggestions welcomed!
 
  On Sun, Jan 11, 2015 at 10:41 PM, Björn Grüning 
 bjoern.gruen...@gmail.com
  wrote:
 
  Hi Ross,
 
  you are absolutely right.
  My download_store repository is exactly for this purpose.
 
  https://github.com/bgruening/download_store
 
  If you are interested we could integrate your additional magic into the
  notebook.
 
  Thanks,
  Bjoern
 
  Am 11.01.2015 um 01:33 schrieb Ross:
  Hi, Björn,
  Looks pretty similar!
  Aren't the links your notebook generates transient? I think if you put
  them
  into a tool_dependencies.xml, they will fail permanently immediately
  after
  any of the package authors updates one of the relevant svn
 repositories?
 
  AFAIK, it looks like the whole BioC/CRAN infrastructure is automated
 so a
  link that works today like
  http://cran.fhcrc.org/src/contrib/Rcpp_0.11.3.tar.gz will fail when
 Rcpp
  next gets updated and Rcpp_0.11.3.tar.gz is migrated to
  http://cran.fhcrc.org/src/contrib/00Archive/Rcpp/ with a replacement
  (eg)
  http://cran.fhcrc.org/src/contrib/Rcpp_0.11.4.tar.gz appearing in the
  contrib directory?
 
  That's why my more complex script downloads all the latest archives
 into
  my
  local github archive repo and generates a permanent link to suit that
  github repo.
  We definitely need an automated solution as this is a really
 infuriating
  aspect of trying to make code relying on R/BioC packages reproducible.
 
 
  On Thu, Jan 8, 2015 at 11:28

Re: [galaxy-dev] Partial automation for generating those twisty R dependency tool shed installation sequences

2015-01-12 Thread Ross
Hi  Björn,
I'm a bit old fashioned and think I prefer a proper Galaxy tool rather than
a notebook :) so I've set up a temporary demonstration/test site of a
toolfactory generated tool that does what I think I need - can some kind
soul please test it and let me know how it goes ? If it's useful, it needs
to be adjusted to depend on whatever version of package_R you want to work
with - currently just uses the system R for demonstration purposes.

I used the toolfactory2 (main toolshed) (which now allows any number of
(optionally non editable) parameters!!!) to wrap the script shown at the
bottom of https://wiki.galaxyproject.org/SetUpREnvironment. There are
currently three parameters - the names of the R/BioC packages from
sessionInfo(), the local directory where all the tarballs should be stowed
and the XML output prefix to prepend to each row of the generated XML
stanza for tool_dependencies.xml

The resulting toolshed tarball was uploaded to a local toolshed and then
installed to produce a new tool in the tool generators section
- r_bioc_depgen Generate dependencies for R/BioC packages

If you import the history at http://130.56.252.21/history/list_published
you will see the toolfactory job (#1,#2,#3) - rerunning will show how the
parameters are defined - fugly but it does work.
After generating/uploading/installing the new tool, outputs from a test run
are in #4 and #5 for DESeq

Comments and suggestions welcomed!

On Sun, Jan 11, 2015 at 10:41 PM, Björn Grüning bjoern.gruen...@gmail.com
wrote:

 Hi Ross,

 you are absolutely right.
 My download_store repository is exactly for this purpose.

 https://github.com/bgruening/download_store

 If you are interested we could integrate your additional magic into the
 notebook.

 Thanks,
 Bjoern

 Am 11.01.2015 um 01:33 schrieb Ross:
  Hi, Björn,
  Looks pretty similar!
  Aren't the links your notebook generates transient? I think if you put
 them
  into a tool_dependencies.xml, they will fail permanently immediately
 after
  any of the package authors updates one of the relevant svn repositories?
 
  AFAIK, it looks like the whole BioC/CRAN infrastructure is automated so a
  link that works today like
  http://cran.fhcrc.org/src/contrib/Rcpp_0.11.3.tar.gz will fail when Rcpp
  next gets updated and Rcpp_0.11.3.tar.gz is migrated to
  http://cran.fhcrc.org/src/contrib/00Archive/Rcpp/ with a replacement
 (eg)
  http://cran.fhcrc.org/src/contrib/Rcpp_0.11.4.tar.gz appearing in the
  contrib directory?
 
  That's why my more complex script downloads all the latest archives into
 my
  local github archive repo and generates a permanent link to suit that
  github repo.
  We definitely need an automated solution as this is a really infuriating
  aspect of trying to make code relying on R/BioC packages reproducible.
 
 
  On Thu, Jan 8, 2015 at 11:28 PM, Björn Grüning 
 bjoern.gruen...@gmail.com
  wrote:
 
  Hi Ross,
 
  this is great!
  Have you seen this notebook?
 
 
 
 http://nbviewer.ipython.org/github/bgruening/notebooks/blob/master/R/extract_all_dependencies_from_an_r_package.ipynb
 
  It tries to do the same thing. Maybe it's also worth to mention? Maybe
  we can enhance it?
 
  Thanks,
  Bjoern
 
  Am 08.01.2015 um 08:09 schrieb Ross:
  This may be helpful for anyone else struggling to get complex nested R
  package dependency installation from the tool shed sorted out. That
 whole
  can of worms. While we have setup_r_packages, the developer still has
 to
  figure out the right magical incantation and make sure the tarballs are
  available.
 
  https://wiki.galaxyproject.org/SetUpREnvironment has some notes I've
  started - contribitions welcome.
 
  It has a more or less reusable R script to generate
 tool_dependencies.xml
  boilerplate, assuming you set the constant libdir to your local git
  repository path where those tarballs will be downloaded from.
 
  I hope this helps someone!
 
  Could make a tool to do this if enough developers want access to it
  without
  the pain of managing yet another R script?
 
 
 

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[galaxy-dev] Partial automation for generating those twisty R dependency tool shed installation sequences

2015-01-07 Thread Ross
This may be helpful for anyone else struggling to get complex nested R
package dependency installation from the tool shed sorted out. That whole
can of worms. While we have setup_r_packages, the developer still has to
figure out the right magical incantation and make sure the tarballs are
available.

https://wiki.galaxyproject.org/SetUpREnvironment has some notes I've
started - contribitions welcome.

It has a more or less reusable R script to generate tool_dependencies.xml
boilerplate, assuming you set the constant libdir to your local git
repository path where those tarballs will be downloaded from.

I hope this helps someone!

Could make a tool to do this if enough developers want access to it without
the pain of managing yet another R script?
___
Please keep all replies on the list by using reply all
in your mail client.  To manage your subscriptions to this
and other Galaxy lists, please use the interface at:
  https://lists.galaxyproject.org/

To search Galaxy mailing lists use the unified search at:
  http://galaxyproject.org/search/mailinglists/