configuration tools for XFEL
Project description
XFEL Data Analysis Package for Configuration
This package provides configuration tools for XFEL (X-ray Free Electron Laser) data analysis, including configuration management and I/O utilities.
Features
- Configuration management using classes and enums
- Support for reading and writing configuration files in (.INI)
- Easily extendable for new configurations and settings
Installation
You can install this package via pip:
pip install cuptlib-config
Usage
Basic Configuration
Saving Configuration Settings
Here's an example of how to use the package to save configuration settings:
from cupdlib_config.config_reader import save_config_dict
config_dict = {
'param': {
'name': 'sample',
'load_dir': 'load',
'save_dir': 'save',
'image_dir': 'image_dir',
'param_dir': 'param_dir'
},
'path': {
'beam_energy': 10,
'dps': 7.5e-05,
'sdd': 1.3,
'wavelength': 1239.8419843320025
}
}
save_config_dict(config_dict, "sample.ini")
Configuration file (sample.ini
):
[param]
name = sample
load_dir = load
save_dir = save
image_dir = image_dir
param_dir = param_dir
[path]
beam_energy = 10
dps = 7.5e-05
sdd = 1.3
wavelength = 1239.8419843320025
Loading Configuration Settings
Here's an example of how to use the package to load configuration settings:
import os
from cupdlib_config.configclasses import configclass
from cupdlib_config.config_reader import load_config
@configclass
class ConfigurationPaths:
load_dir: str = "load_dir"
save_dir: str = "save_dir"
param_dir: str = "param_dir"
image_dir: str = "image_dir"
def __post_init__(self) -> None:
self.param_dir = os.path.join(self.save_dir, self.param_dir)
self.image_dir = os.path.join(self.save_dir, self.image_dir)
@configclass
class ConfigurationParameters:
name: str = "name"
sdd: float = 1.3
dps: float = 7.5e-5
beam_energy: float = 10
def __post_init__(self) -> None:
self.wavelength = 12398.419843320025 / self.beam_energy
@configclass
class ExperimentConfiguration:
param: ConfigurationParameters = ConfigurationParameters()
path: ConfigurationPaths = ConfigurationPaths()
config_dict = load_config(ExperimentConfiguration, "sample.ini")
print(config_dict)
Expected Output:
ExperimentConfiguration(param=ConfigurationParameters(name='sample', sdd=1.3, dps=7.5e-05, beam_energy=10, wavelength=1239.8419843320025), path=ConfigurationPaths(load_dir='load_dir', save_dir='save_dir', param_dir='save_dir\\param_dir', image_dir='save_dir\\image_dir'))
PAL-XFEL Configuration Classes
The package includes several classes to represent different configurations. For example:
ConfigurationParameters
: Represents parameters like hutch settings, detector settings, etc.ConfigurationPaths
: Manages paths for loading and saving data.ExperimentConfiguration
: Combines parameters and paths into a single configuration object.
Enums
Enums are used to ensure consistency in setting values:
Detector
: Enumeration of different detectors.Hutch
: Enumeration of different hutches.Xray
: Enumeration of X-ray types.Hertz
: Enumeration of frequency settings.
Saving PAL-XFEL Configuration Settings
from pal_xfel.config_io import save_palxfel_dict
config_dict = {
'path': {
'load_dir': 'your/path',
'save_dir': 'your/path',
'image_dir': 'Image',
'mat_dir': 'mat_files',
'npz_dir': 'npz_files',
'param_dir': 'DataParameter',
'tif_dir': 'tif_files'
},
'param': {
'xray': 'HX',
'detector': 'jungfrau2',
'pump_setting': '15HZ',
'hutch': 'eh1',
'sdd': 1.3,
'dps': 7.5e-05,
'beam_energy': 9.7,
'x1': 0,
'x2': 1,
'y1': 2,
'y2': 3
}
}
config_file = "palxfel_setting.ini"
save_palxfel_dict(config_dict, config_file)
Sample PAL-XFEL Configuration File
You can find a sample configuration file (sample.ini
) in the cupdlib_config
directory. Here's an example of its content:
[path]
load_dir = your/path
save_dir = your/path
image_dir = Image
mat_dir = mat_files
npz_dir = npz_files_qbpm
param_dir = DataParameter
tif_dir = tif_files
[param]
xray = HX
detector = jungfrau2
pump_setting = 15HZ
hutch = eh1
sdd = 1.3
dps = 7.5e-05
beam_energy = 9.7
x1 = 0
x2 = 1
y1 = 2
y2 = 3
Paths Configuration
When converting configuration paths into a configuration object, they are combined with the save_dir
as shown below:
@configclass
class ConfigurationPaths:
load_dir: str = ""
save_dir: str = ""
param_dir: str = "DataParameter"
image_dir: str = "Image"
mat_dir: str = "mat_files"
npz_dir: str = "npz_files"
tif_dir: str = "tif_files"
def __post_init__(self) -> None:
self.param_dir = os.path.join(self.save_dir, self.param_dir)
self.image_dir = os.path.join(self.save_dir, self.image_dir)
self.mat_dir = os.path.join(self.save_dir, self.mat_dir)
self.npz_dir = os.path.join(self.save_dir, self.npz_dir)
self.tif_dir = os.path.join(self.save_dir, self.tif_dir)
Loading PAL-XFEL Configuration
from pal_xfel.config_io import load_palxfel_config
palxfel_config = load_palxfel_config("palxfel_setting.ini")
print("palxfel_config: ", palxfel_config)
print("pump_setting: ", palxfel_config.param.pump_setting)
print("mat_dir: ", palxfel_config.path.mat_dir)
Expected Output:
palxfel_config: ExperimentConfiguration(param=ConfigurationParameters(hutch='eh1', detector='jungfrau2', xray='HX', pump_setting='15HZ', x1=0, x2=1, y1=2, y2=3, sdd=1.3, dps=7.5e-05, beam_energy=9.7, sigma_factor=1, wavelength=1239.8419843320025), path=ConfigurationPaths(load_dir='your/path', save_dir='your/path', param_dir='DataParameter', image_dir='Image', mat_dir='mat_files', npz_dir='npz_files_qbpm', tif_dir='tif_files'))
pump_setting: 15HZ
mat_dir: mat_files
Contributing
If you would like to contribute to this project, please follow these steps:
- Fork the repository.
- Create a new branch for your feature or bugfix.
- Make your changes.
- Submit a pull request with a description of your changes.
License
This project is licensed under the MIT License. See the LICENSE file for details.
Contact
For any questions or issues, please contact:
- Name: Isaac Yong
- Email: esakyong1866@naver.com
Acknowledgements
This package was developed as part of the research at the Center for Ultrafast Phase Transformation, Sogang University.
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
Built Distribution
File details
Details for the file cuptlib_config-0.1.6.tar.gz
.
File metadata
- Download URL: cuptlib_config-0.1.6.tar.gz
- Upload date:
- Size: 9.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ca7d195157a4f0d42ef7a08608ee84ea4586b025a5a2d6db0044a9cb589cd559 |
|
MD5 | 2d3487f7bbea21f947ec92a2b6841692 |
|
BLAKE2b-256 | bc3fbe1db2a556f8d14e6e298f8dc44b394df5e215dfeb9f627ef334d16fdcc6 |
File details
Details for the file cuptlib_config-0.1.6-py3-none-any.whl
.
File metadata
- Download URL: cuptlib_config-0.1.6-py3-none-any.whl
- Upload date:
- Size: 9.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.0 CPython/3.12.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a2eea08f56beada98306a8b6bb1c545033a7436386c3a0540d2428ad0910b249 |
|
MD5 | 5ff915bacf368f80498f6c7732d66b43 |
|
BLAKE2b-256 | 2bbe2210342e45e5b557f2b6766c9510356cd9056fec77036f0ec25e5d983439 |