Reprocess postcode units (truncate to 6dp)

[rm-hull]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @rm-hull, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a new Go application designed to efficiently process and optimize geographical postcode unit data. The primary goal is to reduce the overall size of the GeoJSON data by truncating coordinate precision to 6 decimal places and cleaning up feature properties. This optimization is crucial for managing large datasets and improving performance. The PR also establishes a robust development and deployment environment with Docker, consistent code formatting, and automated dependency management.

Highlights

• Data Reprocessing Core Logic: Introduced a new Go package extraction with postcode_compressor.go to handle the core logic of reading bzip2-compressed GeoJSON postcode unit data, reprocessing it, and re-compressing it. This includes iterating through tar archives, reading GeoJSON features, and applying transformations.
• Coordinate Precision Truncation: Implemented a key optimization within the reprocessFile function to truncate geographical coordinates (latitude and longitude) of postcode unit polygons to 6 decimal places. This significantly reduces the data size while maintaining sufficient spatial accuracy for the application's purpose.
• GeoJSON Property Standardization: Modified the GeoJSON feature properties during reprocessing by extracting the postcodes property, renaming it to postcode, and removing extraneous mapit_code and the original postcodes properties. This streamlines the data structure for consumption.
• Project Setup and Standardization: Added comprehensive project setup files including a multi-stage Dockerfile for containerization, .dockerignore for efficient builds, .editorconfig for consistent code style, .github/dependabot.yml for automated dependency updates, and .vscode/launch.json for development environment integration. Also updated README.md with data processing instructions and added ATTRIBUTION.md for licensing clarity.

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[github-actions]

	Tests	Passed ❌️	Skipped	Failed
JUnit Test Report	0 ran	0 passed	0 skipped	0 failed

Test	Result
No test annotations available

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[gemini-code-assist]

Code Review

This pull request introduces a new Go application for reprocessing postcode data. The changes include the core processing logic, a Dockerfile, and various configuration files. My review focuses on improving the robustness and maintainability of the code.