ci: test on ml-100k

[zhenghaoz]

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[Copilot]

Pull request overview

This PR refactors the test infrastructure to use the ml-100k dataset instead of Redis-backed mock data for integration testing. The changes simplify the development and CI setup by replacing Docker Compose with a shell script that sets up a pre-configured Gorse instance with real movie recommendation data.

• Migrated tests from synthetic data to ml-100k dataset validation
• Added delete_feedback API methods to both sync and async clients
• Removed Redis dependency and simplified infrastructure setup
• Version bumped to 0.5.0

Reviewed changes

Copilot reviewed 10 out of 10 changed files in this pull request and generated 1 comment.

Show a summary per file

File	Description
tests/test_gorse.py	Refactored all tests to validate against ml-100k dataset instead of creating mock data; added UTC import for proper timezone handling; removed Redis dependency
gorse/init.py	Added delete_feedback methods to both sync and async clients for deleting feedback entries
test-requirements.txt	Removed redis dependency
setup.py	Version bumped from 0.4.10 to 0.5.0
docker-compose.yml	Removed entire Docker Compose configuration
config.toml	Removed Gorse configuration file
CONTRIBUTING.md	Updated setup instructions to use new shell script instead of Docker Compose
.github/workflows/ci.yml	Replaced Docker Compose health check with shell script setup
.devcontainer/devcontainer.json	Added new Dev Container configuration
.devcontainer/Dockerfile	Added Dev Container Dockerfile

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