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This environment is based on the LCLS I but contains all the dependencies needed to run AMI 2. To create it, we follow the strategy of trying to keep all main packages of the LCLS-I environment at the right version, and all the AMI2 dependencies at the version we have in the LCLS-II environment. We let the second level dependencies fluctuate freely, especially the compilers. Currently we follow this procedure (I use the ana-4.0.44-py3 environment as an example):

• Export the base lcls-i environment to a YAML file:
  
  

  Code Block
  conda env export > ana-4.0.44-py3.yaml

• Run a script similar to the following to pin the main lcls-i packages from  at the right version:
  
  

  Code Block

  import yaml with open("ana-4.0.44-py3.yaml", "r") as fh: curr_env = yaml.safe_load(fh) dep_dictionary = {} for entry in curr_env['dependencies']: items = entry.split("=") dep_dictionary[items[0]] = items[1] with open("/cds/sw/ds/ana/conda1/manage/jenkins/ana-env-py3.yaml", "r") as fh: base_env = yaml.safe_load(fh) new_dependencies = [] for entry in base_env['dependencies']: items = entry.split("=") new_dependencies.append(f"{items[0]}={dep_dictionary[items[0]]}") base_env["dependencies"] = new_dependencies with open("ana-4.0.44-py3-ami2.yaml", "w") as fh: yaml.dump(base_env, fh)

• Add to the ana-4.0.44-py3-ami2.yaml file the following dependencies, at the version that the are in the current lcls-II version:
  • networkfox
  • asyncqt
  • amityping
  • mypy
  • setproctitle.
  • jedi
  • sympy
  • p4p
  • pyqode.python1
  • pint

  • pyfftw
    
    For example, in the case of 4.0.44, the following lines were added to the file (the version numbers come from the current lcls-ii development environment ps-4.5.16):
    
    

    Code Block
    - networkfox=0.0.8 - asyncqt=0.8.0 - amityping=1.1.11 - mypy=0.961 - setproctitle=1.2.3 - jedi=0.17.2 - sympy=1.10.1 - p4p=3.5.5 - pyqode.python=2.12.1 - pint=0.18 - pyfftw=0.13.0

• Remove

  the

  version

  from

  the

  compiler

  dependency,

  so

  that

  it

  looks

  just

  like

  the

  following,

  without

  any

  version

  number:
  
  

  Code Block
  - compilers

• Use the resulting yaml file to generate the environment, using the libmamba solver:
  
  

  Code Block
  conda env create --experimental-solver=libmamba -n ana-4.0.44-py3-ami2 --file ana-4.0.44-py3-ami2.yaml

Utility Scripts

The following two python scripts can be used to explore the content of a repodata.json file, which can be downloaded from a conda online package repository and lists in detail the content of the repository

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