{"id":15844939,"url":"https://github.com/rajikaimal/emma","last_synced_at":"2026-04-24T12:34:09.861Z","repository":{"id":89374251,"uuid":"86694133","full_name":"rajikaimal/emma","owner":"rajikaimal","description":":santa: Intelligent mention bot for GitHub organizations","archived":false,"fork":false,"pushed_at":"2017-12-16T17:46:53.000Z","size":50,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-06-01T09:17:58.958Z","etag":null,"topics":["bot","emma","machine-learning","python","scikit-learn"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rajikaimal.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":"2017-03-30T11:17:48.000Z","updated_at":"2017-05-21T10:59:01.000Z","dependencies_parsed_at":null,"dependency_job_id":"9e11e4a8-c2c6-4de6-a092-31102b00992e","html_url":"https://github.com/rajikaimal/emma","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/rajikaimal/emma","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rajikaimal%2Femma","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rajikaimal%2Femma/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rajikaimal%2Femma/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rajikaimal%2Femma/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rajikaimal","download_url":"https://codeload.github.com/rajikaimal/emma/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rajikaimal%2Femma/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32224210,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-24T10:26:35.452Z","status":"ssl_error","status_checked_at":"2026-04-24T10:25:27.643Z","response_time":64,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["bot","emma","machine-learning","python","scikit-learn"],"created_at":"2024-10-05T17:41:22.548Z","updated_at":"2026-04-24T12:34:09.846Z","avatar_url":"https://github.com/rajikaimal.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# emma\n\n\u003e WIP !!!\n\n:santa: Intelligent mention bot for GitHub organizations\n\n## Install\n\n```\n$ pip3 install -r requirements.txt\n```\n\n## Deploy\n\n```\n$ sh deploy.sh [provider]\n```\n\n## Developement setup\n\n### Setup ngrok\n\nDownload and install [ngrok](https://ngrok.com/download) \n\nRun ngrok\n\n```\n$ ./ngork http [port]\n```\n\n### Setup GitHub webhook\n\nGoto Repository -\u003e `Settings` -\u003e `Webhooks` -\u003e `Add webhook`\n\nAdd `Payload URL` from `ngrok` public URL. Click on `Add webhook`\n\n### Add configuration file\n\n```\n[Credentials]\nusername = *********\npassword = *********\n\n[Repository]\norg = *********\nrepo = *********\n```\n\nRun emma\n\n```\n$ bash ./init.sh\n```\n\n## Enpoints\n\n#### /payload\n\n## Programmatic API\n\n```py\nfrom emma import Parser\n\n# create parser object\nparser = Parser()\n\n# parse local diff file - returns a generator\nparsed_diff = parser.parse_diff('/home/rajika/projects/sublime-vmd', 'master')\nprint(parsed_diff)\n\n# parse raw diff to get following dict\n#  {\n#      'file_names': file_names,\n#      'deleted_lines': deleted_lines,\n#      'added_lines': added_lines\n#  }\n\nparsed_raw_diff = parser.parse_raw_diff(raw_diff)\n\n```\n\n```py\nfrom emma import Parser\n\n# create parser object\nparser = Parser()\n\n# parse diff from GitHub diff\nparsed_diff = parser.get_pr_diff('https://patch-diff.githubusercontent.com/raw/facebook/react/pull/3.diff')\nprint(parsed_diff)\n\n```\n\n## Algorithm\n\n`Emma` uses `supervised learning` in machine learning to learn about a given repository. With the increase of data set, emma becomes more intelligent. Therefore mature repositories can gain better results.\n\n### Dataset generation\n\n`Emma` generates a data set for each and every repo in order to train the machine learning model. Dataset is structured as follows.\n\n- Filename, Timestamp, Commit author, Previous author\n\neg - `bin,321,2017-04-18T19:47:30+0518,inbox.rajika@gmail.com,inbox.rajika@gmail.com`\n\n### Heuristics\n\nFollowing are the heuristics used by `emma` to predict the best possible reviewer for a pull request.\n- Deleted lines\n- Added lines\n- Modified lines\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frajikaimal%2Femma","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frajikaimal%2Femma","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frajikaimal%2Femma/lists"}