Skip to main content

Python ATLAS Metadata Interface (pyAMI) for ATLAS

Project description

pyAMI 5 is a major upgrade of the AMI python client. The command line syntax has been rationalized, with improved help functions. The code has been split into a core layer and an experiment specific layer. This documentation is specific for the ATLAS layer.

pyAMI is available in the ATLAS software release and also installed centrally on LXPLUS (CVFMS and AFS). pyAMI can be installed standalone on a laptop. Instructions are given below for Linux, OSX and Windows.

A few examples

List runs for 2012 in a period or multiple periods:

ami list runs --year 12 --data-periods A B

List AOD datasets matching a pattern:

ami list datasets --type AOD data14_cos%

Display dataset information:

ami show dataset info data13_2p76TeV.00219364.physics_MinBias.merge.NTUP_HI.f519_m1313

Display dataset provenance:

ami show dataset prov data13_2p76TeV.00219364.physics_MinBias.merge.NTUP_HI.f519_m1313

List the files in a dataset:

ami list files -LHC data13_2p76TeV.00219364.physics_MinBias.merge.NTUP_HI.f519_m1313

LXPLUS (CVMFS and AFS)

pyAMI is installed centrally on LXPLUS at CERN. To begin using pyAMI simply:

export ATLAS_LOCAL_ROOT_BASE=/cvmfs/atlas.cern.ch/repo/ATLASLocalRootBase
source $ATLAS_LOCAL_ROOT_BASE/user/atlasLocalSetup.sh
localSetupPyAMI

pyAMI is also available through AFS:

source /afs/cern.ch/atlas/software/tools/pyAMI/setup.sh

Standalone installation

pyAMI 5 is compatible with Python 2.6, 2.7 and 3.X.

Automatic installation for LINUX and MAC OSX

Automatically install the latest version of pyAMI with pip:

pip install --user pyAMI_atlas

or with easy_install (deprecated):

easy_install --user pyAMI_atlas

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):

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

# For MAC OSX
export PATH=${HOME}/Library/Python/2.7/bin${PATH:+:$PATH}

Execute the post-install script:

ami_atlas_post_install

To upgrade an existing installation with pip:

pip install --upgrade pyAMI_core
pip install --upgrade pyAMI_atlas
ami_atlas_post_install

or with easy_install (deprecated):

easy_install --upgrade pyAMI_core
easy_install --upgrade pyAMI_atlas
ami_atlas_post_install

Automatic installation for WINDOWS

  1. Install Python 2.7.X

  2. python.exe should be in C:\Python27. 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:

    C:\PYTHON27;C:\PYTHON27\Scripts
  3. Download and install pip (for easy installation of dependences):

    python get-pip.py
  4. Install pyAMI:

    pip install pyAMI_atlas
  5. Execute the post-install script:

    ami_atlas_post_install

To upgrade an existing installation:

pip install --upgrade pyAMI_core
pip install --upgrade pyAMI_atlas
ami_atlas_post_install

Authentication

VOMS authentication is supported:

voms-proxy-init -voms atlas

If gLite is not available, the alternative option is to connect with your username and password. You can set up an encrypted configuration file by running:

ami auth

You will only need to do this once since your credentials are stored in ~/.pyami/pyami.cfg for later use. If your credentials change just run ami auth again. If you would like to keep your pyAMI configuration in a directory other than ~/.pyami then set the environment variable PYAMI_CONFIG_DIR.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyAMI_atlas-5.0.4.tar.gz (25.8 kB view details)

Uploaded Source

File details

Details for the file pyAMI_atlas-5.0.4.tar.gz.

File metadata

  • Download URL: pyAMI_atlas-5.0.4.tar.gz
  • Upload date:
  • Size: 25.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pyAMI_atlas-5.0.4.tar.gz
Algorithm Hash digest
SHA256 2d330e0ac5ac042ce02feae7224fbf0b5ba23e25cbab24930ba3fece5bd2bf96
MD5 7f0326acdaf13a6954acbe2d352b88ca
BLAKE2b-256 71ab7c7339f3d60ddc77e98c1cf32922afb3ef5e3826b519f79c0c509c976785

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page