{"id":24570440,"url":"https://github.com/lucascompython/pdsdi-tp","last_synced_at":"2025-07-11T23:40:34.600Z","repository":{"id":272856284,"uuid":"869579397","full_name":"lucascompython/PDSDI-TP","owner":"lucascompython","description":null,"archived":false,"fork":false,"pushed_at":"2025-02-01T15:48:50.000Z","size":23156,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-01T16:31:08.241Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Svelte","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/lucascompython.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-10-08T14:29:48.000Z","updated_at":"2025-02-01T15:48:54.000Z","dependencies_parsed_at":"2025-01-17T03:29:51.829Z","dependency_job_id":null,"html_url":"https://github.com/lucascompython/PDSDI-TP","commit_stats":null,"previous_names":["lucascompython/pdsdi-tp"],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lucascompython%2FPDSDI-TP","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lucascompython%2FPDSDI-TP/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lucascompython%2FPDSDI-TP/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lucascompython%2FPDSDI-TP/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lucascompython","download_url":"https://codeload.github.com/lucascompython/PDSDI-TP/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243989108,"owners_count":20379648,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-01-23T16:19:53.786Z","updated_at":"2025-03-17T06:49:05.903Z","avatar_url":"https://github.com/lucascompython.png","language":"Svelte","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Clothe Match\n\nThis is a platform where users upload their clothes and the system suggests outfits based on the user's preferences.  \nWe provide a web interface and native mobile and desktops apps.  \n\n---\n\n## Features\n\n- Multiplatform: Web, Android, iOS, Windows, Linux, and macOS.\n- Fast: The API is built with Rust and the frontend with Astro/Svelte.\n- Secure: Passwords are hashed with Argon2.\n\n---\n\n## Requirements\n\nYou will need the following items installed run this project:\n\n- [Docker](https://www.docker.com/) (optional, to run the application in containers)\n- [Git](https://git-scm.com/)\n- [Postman](https://www.postman.com/) (optional, to conduct API tests)  \n- [Python](https://www.python.org/) - to run the build system and the machine learning model\n- [Rust](https://www.rust-lang.org/) - to build the backend\n- [bun](https://bun.sh/) - Fast JS runtime/bundler\n- [PostgreSQL](https://www.postgresql.org/) - Database\n- [uv](https://github.com/astral-sh/uv) - Modern Python package manager\n- [cargo-watch](https://crates.io/crates/cargo-watch)- Reload backend dev server on changes\n- [upx](https://upx.github.io/) - Compress the app binary\n- [tauri-cli](https://tauri.app/)- Build the multiplatform native app\n\n---\n\n## How to Run\n\n### Clone the Repository\n\n```bash\ngit clone https://github.com/lucascompython/PDSDI-TP\ncd PDSDI-TP\n```\n\n---\n\n### Run the Application with Docker\n\n```bash\n# Run production mode\ndocker compose up\n\n# Run development mode\ndocker compose -f docker-compose-dev.yml up\n```\n\n### Run the Application without Docker\n\n```bash\n./make.py --help\n```\n\n---\n\n## Test the API Routes\n\nThe API can be tested using tools like Postman. All routes and request details are documented in the [API.md](resources/API.md) file. Additionally, you can import the [Postman collection file](resources/PDSDI.postman_collection.json) included in the repository to facilitate testing.\n\n---\n\n## Docker Image\n\nThe API Docker image is available at: [Docker Hub](https://hub.docker.com/r/l33tlsl/clothe_match_backend):\n\n```bash\ndocker pull l33tlsl/clothe_match_backend\n```\n\n---\n\n## Project Structure\n\n- [API.md](resources/API.md): Detailed documentation of the API routes.\n- [docker-compose.yml](docker-compose.yml) / [docker-compose-dev.yml](docker-compose-dev.yml): Configuration to run the application in Docker containers.\n- [Resources/](resources/): Additional resources for the project:\n  - Reports\n  - Presentations\n  - Postman Collection\n  - Test Data  \n  - Database Model\n  - Mockups\n- [app/](app/): Source code of the application.\n- [frontend/](frontend/): Source code of the frontend.\n- [backend/](backend/): Source code of the backend.\n- [model/](model/): Source code of the machine learning model.\n- [cbf/](cbf/): Source code of the CBF (Custom Binary Format) algorithm.\n- [make.py](make.py): Main script of the custom build system for the project.\n\n---\n\n## Related Repositories\n\nIn the development of this project, we conducted some studies and experiments that resulted in other repositories and open source contributions:\n\n- [argon2-bench-rust](https://github.com/lucascompython/argon2-bench-rust) - Study on the performance of different password hashing algorithms in Rust.\n- [parking_lot_vs_std](https://github.com/lucascompython/parking_lot_vs_std) - Study on the performance of different synchronization primitives in Rust.\n- [argon2-kdf](https://github.com/lucascompython/argon2-kdf) - Fastest Argon2 implementation in Rust, that we contributed to.\n\n## License\n\nThis project is under the GNU General Public License v3.0. See the [LICENSE](LICENSE) file for more details.\n\n---\n\n### Academic Information\n\n- **Curricular Units**: Serviços Distribuídos, Projeto de Sistemas de Informação\n- **Professor**: Wenderson Wanzeller, Estrela Cruz\n- **Authors**: Lucas de Linhares; Guilherme Sousa\n- **Ano Letivo**: 2024/2025\n- **University**: Instituto Politécnico de Viana do Castelo\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flucascompython%2Fpdsdi-tp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flucascompython%2Fpdsdi-tp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flucascompython%2Fpdsdi-tp/lists"}