An utility library that allows to read an Autosubmit 4 experiment configuration.
Project description
Simple library that allows to read the data of an Autosubmit experiment.
Usage:
#import the main config library
from autosubmitconfigparser.config.configcommon import AutosubmitConfig
import os
# Init the configuration object where expid = experiment identifier that you want to load
expid = "a01y"
as_conf = AutosubmitConfig("a01y")
# This will load the data from the experiment
as_conf.reload(True)
#all data is stored in the as_conf.experiment_data dictionary
as_conf.experiment_data
# Obtain only section data
as_conf.jobs_data
# Obtain only platforms data
as_conf.platforms_data
# Obtain all data in parameter format( %SECTION%.%SUBSECTION%.%SUBSECTION% )
parameters = as_conf.deep_parameters_export(as_conf.experiment_data)
# To parse the placeholders from a file use the following function
#write sample text
with open("as_sample.txt", "w") as f:
f.write("This is a sample text with a placeholder %DEFAULT.EXPID%")
#write the parsed text
with open("as_sample_parsed.txt", "w") as f:
f.write(as_conf.parse_placeholders(open("as_sample.txt","r").read(), parameters))
# print the file content
with open("as_sample.txt", "r") as f:
print(f.read())
# print the file content
with open("as_sample_parsed.txt", "r") as f:
print(f.read())
# Result must be:
# This is a sample text with a placeholder %DEFAULT.EXPID%
# This is a sample text with a placeholder expid
# delete samples
os.remove("as_sample.txt")
os.remove("as_sample_parsed.txt")
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
File details
Details for the file autosubmitconfigparser-1.0.66-py3-none-any.whl
.
File metadata
- Download URL: autosubmitconfigparser-1.0.66-py3-none-any.whl
- Upload date:
- Size: 36.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.22.0 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.30.0 importlib-metadata/4.11.1 keyring/18.0.1 rfc3986/2.0.0 colorama/0.4.3 CPython/3.8.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | eae21a5f80eb3e0be70ccebc22e19b620fd8fed1e5f989aec99f080581dae7e8 |
|
MD5 | 4e79eed2ff9b102b08fdb1d949eb5356 |
|
BLAKE2b-256 | 07b31499cda1a7039c611204f6741f6bed1de4882bd8a701a11cbbb0b5391296 |