eseas 1.0.4

eseas is a Python package that serves as a wrapper for the jwsacruncher Java package. This tool allows users to process Demetra workspace XML files, create batch files, execute them, and collect the desired outputs into individual Excel files.

eseas

eseas is a Python package that acts as a wrapper for the jwsacruncher Java package. This tool allows users to process Demetra workspace XML files, create batch files, execute them, and collect the desired outputs into individual Excel files.

Installation

eseas

You can install the eseas package via pip:

pip install eseas -U

Prerequisites

jwsacruncher

eseas requires the jwsacruncher Java package. You can download it from the jwsacruncher GitHub releases page.

Setup Instructions

1. Download the latest release of jwsacruncher from the releases page.
2. Unzip the downloaded file.
3. Note the path to the bin directory inside the unzipped folder.

After downloading jwsacruncher, you need to specify its location when using the Options function from the eseas package.

Usage

Here's an example of how to use the eseas package:

    from eseas import Seasonal, Options
    import time

    def main():
        # Specify the path to the jwsacruncher bin directory
        java_folder = r'../../Downloads/jwsacruncher-2.2.4/bin' 

        # [Optional] Java binary folder (where the Java executable exists)
        # This will be added to the environment PATH variable if provided.
        java_bin = r'/usr/bin'

        # Folder containing Demetra XML files
        demetra_source_folder = r"./demetra_source_folder"

        # Workspace where output files will be stored
        local_folder = r"./test_out"

        options = Options(
            demetra_source_folder,
            java_folder,
            local_folder,
            result_file_names=("sa", "s_f", "cal"),  # See "Demetra Components" below
            workspace_mode=True,
            file_name_explanation=True,
            java_bin=java_bin
        )

        # Initialize the Seasonal process
        seas = Seasonal(options)

        # Execute the two-step process
        seas.part1()
        time.sleep(10)  # Wait before executing part2
        seas.part2()

    if __name__ == "__main__":
        main()

Defining some parameters from .env file (NEW in version 1.0.0 )

You can define key parameters in an .env file located in the current directory where you run the script.

The function first checks whether the parameters are explicitly provided. If a parameter is not given in the function, it will automatically use the value from the .env file.

# `.env` file content (Example)

# Required if not given from function
java_folder = /Users/guest/app/jwsacruncher-2.2.6/bin
demetra_source_folder = ./eseas/data_for_testing/unix
local_folder = ./test_out

#Optional
java_bin = /usr/bin

Usage: Running the Script When a .env File Exists

from eseas import Seasonal, Options
import time

# Load options from the `.env` file
options = Options()

# Initialize and execute the seasonal adjustment process
m = Seasonal(options)
m.part1()
time.sleep(10)  # Pause before running part2
m.part2()

Usage: Overwriting demetra_folder from Function Call When .env File Exists

If a .env file is present, you can override the demetra_folder value by passing it directly in the function call.

from eseas import Seasonal, Options
import time

# Override `demetra_folder` from function call, ignoring the value in `.env`
options = Options(demetra_folder="SomeDemetraFolder")

# Initialize and execute the seasonal adjustment process
m = Seasonal(options)
m.part1()
time.sleep(10)  # Pause before running part2
m.part2()

Documentation

For more detailed information, refer to the following guides:

Documentation

How it Works

1. Input Directory: The user specifies the directory of the Demetra workspace where XML files are located.
2. Batch File Creation: The package creates batch files for all XML files in the specified directory.
3. Execution: It runs the batch files using the jwsacruncher tool.
4. Output Collection: The specified outputs are collected and compiled into individual Excel files for each XML file processed.

Acknowledgments

This package (eseas) is an independent Python wrapper that interacts with the jwsacruncher application.
Users must download jwsacruncher separately. This package is not affiliated with or derived from jwsacruncher.

jwsacruncher is a Java-based implementation of the .NET application WSACruncher. It is a command-line tool that allows users to re-estimate all multi-processing tasks defined in a Demetra workspace.

The workspace can be generated by:

• Demetra+ (.NET)
• JDemetra+ (Java)
• Any compatible user tool

For more information, visit the jwsacruncher GitHub repository.

License

This project is licensed under the EUPL-1.2 License - see the LICENSE file for details.