Geospatial Data Parser

Overview

This Node.js application is designed to parse Excel files containing geospatial data and convert each sheet within the Excel file into a separate JSON file. The application utilizes Node.js's cluster module to process each sheet in parallel, improving performance and efficiency.

Prerequisites

• Node.js (version 16 or later recommended)
• npm (usually comes with Node.js)

Installation

Clone the repository to your local machine:

git clone ssh://[email protected]:10022/tjkoury/target-models.git

Navigate to the project directory and install dependencies:

cd target-models
npm install

Usage

1. Place your Excel file containing the geospatial data in the ./raw/ directory.
2. Run the script with the following command:

node index.js

The script will read each sheet from the Excel file and convert it into a JSON file, which will be saved in the ./data/ directory.

Features

• Parallel Processing: Each sheet in the Excel file is processed in a separate worker process.
• Non-blocking: Utilizes Node.js's asynchronous capabilities to ensure efficient processing.
• No Overwrite: Skips processing sheets for which the output JSON file already exists.

Generating Schemas

This project includes a script to automatically generate JSON schema files from FlatBuffers .fbs files.

Generation Prerequisites

Before running the generateSchema script, ensure that you have FlatBuffers installed and the flatc compiler is available in your system's PATH.

Generation Usage

To generate JSON schema files, follow these steps:

1. Open your terminal or command prompt.
2. Navigate to the root directory of the project where the generateSchema.sh script is located.
3. Run the script by entering the following command:

./generateSchema.sh

Manual Source Code Generation

To manually generate TypeScript source code from FlatBuffers schema files, use the flatc compiler with the following command:

flatc --ts --gen-object-api -o lib/[output folder]/ ./[path to IDL]/[idlname].fbs

Customization

You can modify the index.js file to change the input file path, output directory, or to add additional data processing logic as per your requirements.

Contributing

Contributions to this project are welcome. Please fork the repository and submit a pull request with your proposed changes.

License

This project is open source and available under the MIT License.