pyAMI 4.1.2

Automatic Installation

Automatically install the latest version of pyAMI with pip:

pip install --user pyAMI

or with easy_install:

easy_install --user pyAMI

Omit the --user for a system-wide installation (requires root privileges). Add ${HOME}/.local/bin to your ${PATH} if using --user and if it is not there already (put this in your .bashrc):

export PATH=${HOME}/.local/bin${PATH:+:$PATH}

To upgrade an existing installation use the -U option in the pip or easy_install commands above.

Manual Installation

Get the latest tarball on PyPI

Untar and install (replace X appropriately):

tar -zxvf pyAMI-X.tar.gz
cd pyAMI-X

pyAMI uses distribute to install but you may revert to a basic distutils install by setting the environment variable:

export PYAMI_NO_DISTRIBUTE=1

One advantage of using distribute is that all dependencies are automatically downloaded and installed for you. To install pyAMI into your home directory if using at least Python 2.6:

python setup.py install --user

or with older Python versions:

python setup.py install --prefix=~/.local

Add ${HOME}/.local/bin to your ${PATH} if it is not there already (put this in your .bashrc):

export PATH=${HOME}/.local/bin${PATH:+:$PATH}

If you are unable to satisfy the dependency on lxml (only used for XSL transformations) then you may disable this dependency before installation with:

export PYAMI_NO_LXML=1

Installation on MAC

Tested with System: OXS 10.7.4, Python 2.7.1, GCC 4.2.1

Just follow the instructions for Manual Installation, except that to change the PATH you should do:

export PATH=/Users/yourName/Library/Python/2.7/bin${PATH:+:$PATH}

Installation on Windows

1. Install python, for example Python 2.7.3

2. Install distribute (for easy installation of dependences). For 64 bit machines there may be problems, see bugs.python.org/issue6792.

3. Download pip. For example pip-1.1.tar.gz.

4. Install pip. Open a “cmd” terminal in windows. Assuming that you installed pip below Python:

   cd C:\Python27\pip-1.1
   C:\Python27\python setup.py install

5. Install pyAMI. pip.exe should be in C:\Python27\Scripts:

   cd C:\Python27\Scripts
   pip install pyAMI

6. You might need to install lxml to enable XSLT in a different step - sometimes pip seems to prefer a version which will not build. If you don’t install lxml, pyAMI will still work, but you will only be able to obtain XML output on the command line. However if you only want to use the API of pyAMI you may skip this step.:

   easy_install --allow-hosts=lxml.de,*.python.org lxml==2.2.8

7. Now so that you can use pyAMI conveniently you must adjust your paths in the Windows environment. If you do not know how to do this follow the instructions here www.java.com/en/download/help/path.xml. Add to the path:

   PATH    C:\PYTHON27;C:\PYTHON27\Scripts

8. Lastly explain to Windows that a python script can be executed. Add to the PATHEXT variable:

   PATHEXT .PY

9. Then change the name of the file ami in C:\Python27\Scripts to ami.py so that script ami.py can be executed just by typing ami.

Version 4.1.2 (26/2/2013)

• Upgrade to distribute 0.6.34

• Fix installation on Windows

• Docs now build properly with buildout

• Install setup_pyAMI with the pyAMI bundle for backward compatibility

Version 4.1.1 (13/2/2013)

• Upgrade to buildout 2.0.0

• Fix a few import issues in pyAMI.extern.ZSI

Version 4.1.0 (4/2/2013)

• A patched version of ZSI is now included in pyAMI.extern that removes dependency on PyXML.

• argparse is now included in pyAMI.extern.

• A minimal pyAMI installation (no lxml) now does not depend on any external non-standard library packages.

• Added the -F and –from-file to the “ami list datasets” command where the pattern is interpreted as a file name which will be read for patterns (one per line, ignoring blank lines or lines beginning with #).

• Added the option to perform literal matches with “ami list datasets” using the new optional flags -L or –literal-match. In this case the pattern is interpreted as a literal string and the results must match exactly. A literal match query is much faster than a patterned match and can greatly speed up commands where you want to query information for known elements. This option pairs nicely with the new –from-file feature mentioned above for files listing many complete dataset names that should be interpreted literally and not as patterns.

• AMI errors are now printed correctly.

Version 4.0.4 (6/11/2012)

• Fix globbing issue. Only surround pattern with % if the pattern didn’t have % on both ends originally. (it needed more fixing!)

Version 4.0.3 (11/10/2012)

• Skip version 4.0.2 to sync with ATLAS SVN tag version

• Fix setup.py for py2.4 compatibility

• Make ami-status=VALID default

• Fix globbing issue. Only surround pattern with % if the pattern didn’t have % on both ends originally.

Version 4.0.1 (20/9/2012)

• This is pyAMI-04-00-01 in the ATLAS release

• Minor syntax changes in the API

• Added Windows installation to the doc

• Expanded doc section on API

Version 4.0.0a3 (17/4/2012)

• Make distribute the default install method

• Include patched urllib2 module in pyAMI.backports

Version 4.0.0a2 (10/4/2012)

• Second prerelease of the new pyAMI

• Support for connection through a proxy (BNL)

• Other minor improvements

Version 4.0.0a1 (28/3/2012)

• Prerelease of the new pyAMI

• Package renamed to pyAMI

• Speed improvements

• VOMS authentication

• Fixed permissions of ~/.pyami/ami.cfg

• Removed intermediate ami package Everything is now under pyAMI

atlasmeta versions below:

Version 0.4.0 (4/2/2012)

• Now compatible with Python 2.4

• Install with distutils by default and make installation with distribute optional

• Improved parent-type feature in dataset query

• Ability to specify a good runs list (GRL) in ‘ami list data’ and only the runs contained in the GRL are shown

• Installed on LXPLUS at CERN

• XSL transformations reimplemented

Version 0.3.1 (10/1/2012)

• Fix bug in file listing where size/events is NULL in database

Version 0.3 (20/12/2011)

• Add ability to query datasets by parent type with –parent-type option

• list files in dataset with ‘ami list files’ and optionally display total size and events

• new schema module replicating AMI schema

• query files, projects, subprojects, datatypes, subdatatypes, tags, nomenclatures, production steps

Version 0.2 (17/12/2011)

• Query and display additional dataset fields (i.e. datatype, number of events)

Version 0.1 (1/12/2011)

• Forked pyAMI

• Major code rewrite

• better command-line interface