eseas 2.0.10

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

Note: eseas v2.0.0+ requires Python 3.10 or higher. If you are installing via pip on Python 3.9 or older, pip will automatically download the last compatible 1.x version without the v2.0.0 features.

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


    def main():
        # Specify the path to the jwsacruncher bin directory
        java_folder = r"C:\path\to\jwsacruncher\bin"

        # Folder containing Demetra XML files
        demetra_source_folder = r"C:\Data\demetra_source_folder"

        # Workspace where output files will be stored
        local_folder = r"C:\Data\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
        )

        # Initialize the Seasonal process
        seas = Seasonal(options)

        # Execute the two-step process synchronously
        seas.run() # Equivalent to seas.part1() immediately followed by seas.part2()
        
    if __name__ == "__main__":
        main()

Advanced Usage: Specifying Java Executable Path (java_bin)

If your system struggles to locate the Java executables (or if you have multiple Java versions and want to point eseas directly to a specific one), you can provide java_bin.

    # For a specific JDK installed on Windows:
    java_bin = r"C:\Program Files\Java\jdk-17\bin"
    # Or in Unix systems if not in PATH natively: java_bin = r"/usr/bin"
    
    options = Options(
        demetra_source_folder=r"C:\Data\demetra_source",
        java_folder=r"C:\path\to\jwsacruncher\bin",
        local_folder=r"C:\Data\test_out",
        java_bin=java_bin   # Forces eseas to inject this into the environment PATH automatically
    )
    
    seas = Seasonal(options)
    seas.run()

Auto-Downloading jwsacruncher

Instead of manually deploying JDemetra+ binaries or configuring .env paths, eseas can now automatically download, extract, and execute jwsacruncher on the fly.

Here is an example utilizing auto_download=True with Windows-based path structures:

from eseas import Seasonal, Options

def main():
    # Folder containing Demetra XML workspace files
    demetra_source_folder = r"C:\Data\demetra_source_folder"

    # Workspace where output Excel files will be stored
    local_folder = r"C:\Data\test_out"

    # We do not need a 'java_folder' path if auto_download is enabled!
    options = Options(
        demetra_source_folder=demetra_source_folder,
        local_folder=local_folder,
        result_file_names=("sa", "s_f", "cal"),
        workspace_mode=True,
        file_name_explanation=True,
        auto_download=True,  # Seamlessly fetches jwsacruncher
        auto_approve=True    # Skips CLI yes/no prompts during file generation
    )

    # Initialize and execute the seasonal adjustment process synchronously
    seas = Seasonal(options)
    seas.run()

if __name__ == "__main__":
    main()

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.