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Showing content from https://github.com/cedanl/docker_1cho below:

cedanl/docker_1cho: Docker image which prepares raw 1cho files

This Docker image is designed to run the Python module eencijfer, providing an easy method to prepare raw 1cho data. The module is used for processing raw data files, and this image simplifies its deployment and execution.

We have provided three methods to work with this python module with as little pre-requisites as possible:

• Docker
• GitHub Codespaces
• DevPod

Warning

Important Note: Do not upload "1cho" data files containing sensitive data to GitHub Codespace! Only upload "Decodering" files, which filenames start with "Dec_"

• The Docker image encapsulates the eencijfer Python module, making it straightforward to use without needing to install Python or the module on your system.
• Dockerfile maps current working directory to allow user to input the raw data file.
• A config.INI can be used.

Ensure Docker is installed on your system. Docker is necessary to run the eencijfer module encapsulated within the Docker image.

You can download Docker for your system through the following link Docker.

There is no configuration needed. If users want to take advantage of the config.INI possibilities of the Python eencijfer package, users can put a config.INI in the cwd to tailor the processing according to their specific use case. An example file is given (config.INI.example, rename this to config.INI and adapt contents to tailor your needs.). The default configuration assumes reading and writing from the current working directory where the batch or bat script is executed. This means you do not need to specify paths unless you wish to change the default behavior.

A result directory will be automatically created and populated with the processed files once the eencijfer module has completed its processing. This directory will be located in the current working directory where the batch or bat script is run, when using the default config settings.

To run the Docker image, execute the provided batch or bat script. This script will handle the Docker run command, ensuring that the eencijfer module is executed within the Docker container. The script will automatically map the current working directory to the Docker container, allowing you to easily input the raw data file for processing.

• Place your raw data files in the directory you wish to run the batch or bat script.
• Run the batch or bat script.
• After processing, the result directory will contain the processed files.

If you encounter any issues, ensure that Docker is running correctly on your system. Check the Docker logs for any error messages that may indicate what went wrong during the execution.

Warning

Important Note: Do not upload "1cho" data files containing sensitive data to the Codespace!

Instead, opt for the devpod solution described in the next section.

This repository supports GitHub Codespaces, which allows you to create a cloud-based development environment directly from the repository. To create a Codespace, follow these steps:

1. Click on the "Code" button in the repository.
2. Select "Create codespace on main" from the dropdown menu.

This will launch a Visual Studio Code instance hosted on GitHub, with the eencijfer module pre-installed. You can access the terminal within the Codespace and install any additional dependencies or run commands as needed. To upload "Decodering" files, right-click within the Codespace and select "Upload..."

In order to convert the raw files, run the command eencijfer convert in the terminal. This will convert to parquest files by default, in order to wite to csv you should run eencijfer convert --export-format csv.

Please note that you should not upload "1cho" data files containing sensitive data. Instead, use the devpod solution described below.

1. Click on the "Code" button in the repository.

1. Select "Create codespace on main" from the dropdown menu.

1. Within a few minutes your codespace is ready and you are greeted with the man page of the eencijfer module

1. Upload your files to transform by right-clicking and choosing Upload...

1. In order to convert the data files, run eencijfer convert. You can opt to use flags, such as -C to convert all columns to character, and --export-format to set the extension you wish. You can choose either csv or parquet for the time being.

2. We have included a work-in-progress jupyter notebook to visualize the data. At the moment it assumes you have all 1cHo files and have converted them to parquet.

An alternative to using GitHub Codespaces is to use the devpod solution. Follow these steps:

• Make Sure to have Docker Desktop installed and running on your system.
• Download the devpod for your operating system from the devpod repository. DevPod
• Link the devpod to this repository.
• Launch the devpod workspace.

The devpod solution provides a secure and isolated environment for working with sensitive data files.

1. Launch DevPod and create workspace by linking to this repository.

1. Wait for the workspace to start up, you should see the man page of the eencijfer python module.

1. The browser should launch a vscode instance in the browser, click the circled button to toggle the terminal.

1. Run eencijfer command in the terminal.

1. Upload your files to transform by right-clicking and choosing Upload...

Right click on the file browser in order to upload files to the workspace.

1. In order to convert the data files, run eencijfer convert. You can opt to use flags, such as -C to convert all columns to character, and --export-format to set the extension you wish. You can choose either csv or parquet for the time being.

2. We have included a work-in-progress jupyter notebook to visualize the data. At the moment it assumes you have all 1cHo files and have converted them to parquet.

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