{"id":16977031,"url":"https://github.com/harvic3/sspe-project-api","last_synced_at":"2025-07-31T11:09:53.365Z","repository":{"id":54282335,"uuid":"200438481","full_name":"harvic3/sspe-project-api","owner":"harvic3","description":"API for CLI web interface of sspe-project","archived":false,"fork":false,"pushed_at":"2025-01-16T14:19:03.000Z","size":1160,"stargazers_count":0,"open_issues_count":7,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-11T13:55:46.603Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://sspe-project-api.vickodev.now.sh","language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/harvic3.png","metadata":{"files":{"readme":"readme.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2019-08-04T01:55:14.000Z","updated_at":"2025-01-16T14:19:02.000Z","dependencies_parsed_at":"2024-09-14T20:24:04.611Z","dependency_job_id":"a0163f45-2ce4-4f19-a912-36834c20d578","html_url":"https://github.com/harvic3/sspe-project-api","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/harvic3%2Fsspe-project-api","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/harvic3%2Fsspe-project-api/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/harvic3%2Fsspe-project-api/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/harvic3%2Fsspe-project-api/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/harvic3","download_url":"https://codeload.github.com/harvic3/sspe-project-api/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247369965,"owners_count":20927928,"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":"2024-10-14T01:27:53.114Z","updated_at":"2025-04-05T17:10:32.092Z","avatar_url":"https://github.com/harvic3.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SSPE\n\n\u003e API for \u003ca href=\"https://github.com/harvic3/sspe-web-cli\"\u003esspe-web-cli\u003c/a\u003e project for process text files with numbers in seven-segment format with web sockets. \n\nThis API is a version based of previous CLI \u003ca href=\"https://github.com/harvic3/sspe-project\" \u003esspe-project.\u003c/a\u003e\n\n```console\n$ sspe showme\nexecuting with EXAMPLE file... ✏️\nFile data:\n _       _   _   _       _   _   _   _       _\n  |   | |_|   | |_| |_| |_  |_| |_| |_|   | |_|\n  |   | |_|   |   |   |  _| |_|   | |_|   |   |\n\nString number:\n718794589819\ntime-process: 2.896ms\n```\n\n## Environment\n\n\u003e This application was made for the NodeJs runtime environment wit web sockets.\n\n## Installation\n\n- Clone the repository\n- Open your favorite terminal and go to the project root directory and Run the following commands:\n\n```console\nnpm install\n```\n\n```console\nnpm run start\n```\n\n## Plus -\u003e machine learning (is experimental)\n\n\u003e Use a neural network (LSTM) to process the text files and throw a string with the result equivalent to the number contained in seven-segment format within the file.\n\n\u003e The neural network can be trained, you can create data for the training too and process files with the last training done.\n\n## Test\n\n\u003e Part of the code of this application is covered by unit tests and the idea is to add the missing ones as they are finished.\n\n- Execute tests\n\n```console\nnpm run test\n```\n\n## Usage\n\nFor use you must download the project \u003ca href=\"https://github.com/harvic3/sspe-web-cli\"\u003esspe-web-cli.\u003c/a\u003e developed in Vue Js.\n\n- Get help\n\n```console\nsspe hi\n```\n\n- Run process with example file\n\n```console\nsspe showme\n```\n\n- Create a file with seven-segments format\n\n```console\nsspe create --name theFileName --number 654123\n```\n\n- List the created files\n\n```console\nsspe list\n```\n\n- Select a local file for process\n\n```console\nsspe select --name Foo.dat\n```\n\n- Add data for train the neural network\n\n```console\nsspe ml --add 654123 OR sspe m --add auto\n```\n\n- Training the neural network\n\n```console\nsspe ml --iter 25000 OR sspe ml\n```\n\n- Select a local file for process with Neural network\n\n```console\nsspe ml --path D:/Test/Foo.txt\n```\n\n## File Structure\n\n```\nroot\n|_src\n| |__lib // Contains the business logic\n| |__utils // Contains utilities to support business logic\n|__test // Contains the unit tests\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fharvic3%2Fsspe-project-api","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fharvic3%2Fsspe-project-api","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fharvic3%2Fsspe-project-api/lists"}