Search Git commits in natural language

Overview

NaLCoS - NAtural Language COmmit Search

Search commit messages in your repository in natural language.

GitHub Issues Stargazers License Code style: black
GitHub release (latest by date) PyPi
All contributors


NaLCoS (NAtural Language COmmit Search) is a command-line tool for searching commit messages in your repository in natural language.

The key features are:

  • Search commit messages in both local and remote GitHub repositories.
  • Search for commits in a specific branch.
  • Restrict the number of commits to look back in history while searching.
  • Increase the number of retrieved results.

image

Internally, NaLCoS uses Sentence Transformers with pre-trained weights from multi-qa-MiniLM-L6-cos-v1. I chose this particular model because it has a good Performance vs Speed tradeoff. Since this model was designed for semantic search and has been pre-trained on 215M (question, answer) pairs from diverse sources, it is a good choice for tasks such as finding similarity between two sentences.

NaLCoS encodes the query string and all the commits into their corresponding vector embeddings and computes the cosine similarity between the query and all the commits. This is then used to rank the commits.

Why did I build this?

Most of the times when I've used Machine Learning till now, has been in dedicated environments such as Google Colab or Kaggle. I had been learning Natural Language Processing for a while and wanted to use transformers to build something different that is not very resource (read GPU) intensive and can be used like an everyday tool.

Though many Transformer models are far from fitting this description, I found that distilled models are not as hungry as their older siblings are infamous for. Searching for Git commits using natural language was something on which I could not find any pre-existing tool and thus decided to give this a shot.

Though there are various improvements left, I'm happy with what this initially turned out to be. I'm eager to see what further enhancements can be made to this to make it more efficient and useful.

Requirements

NaLCoS uses the following packages:

Installation

Installing with pip (Recommended)

Install with pip or your favourite PyPi manager:

$ pip install nalcos

Run NaLCoS with the --help flag to see all the available options:

$ nalcos --help

Note: When you run the nalcos command for the first time, it will, download the model which would be cached and used the next time you run NaLCoS.

Installing bleeding edge from the GitHub repository

  • Clone the repository:
$ git clone https://github.com/thepushkarp/nalcos.git

This also downloads the model weights stored in the nalcos/models directory so you don't have to download them while running the model for the first time.

  • Create a virtual environment (click here to read about activating virtualenv):
$ virtualenv venv
  • Activate virtualenv (for Linux and MacOS):
  $ source ./venv/bin/activate
  • Activate virtualenv (for Windows):
   $ cd venv/Scripts/
   $ activate
  • Install the requirements:
$ pip install -r requirements.txt
  • Change directory to the nalcos directory:
$ cd nalcos/
  • Run NaLCoS with the --help flag to see all the available options:
$ python nalcos.py --help

Usage

A detailed information about the usage of NaLCoS can be found below:

usage: nalcos [-h] [-g] [-n N_MATCHES] [-b BRANCH] [-l LOOK_PAST] [-v] query location

Search a commit in your git repository using natural language.

positional arguments:
  query                 The query to search for similar commit messages.
  location              The repository path to search in. If `-g` flag is not passed, searches locally in the path specified, else
                        takes in a remote GitHub repository name in the format '{owner}/{repo_name}'

optional arguments:
  -h, --help            show this help message and exit
  -g, --github          Flag to search on GitHub instead of searching in a local repository. Due to API limits currently this
                        allows for around 15 lookups per hour from your IP.
  -n N_MATCHES, --n-matches N_MATCHES
                        The number of matching results to return. Default 10.
  -b BRANCH, --branch BRANCH
                        The branch to search in. If not specified, the current branch will be used by default.
  -l LOOK_PAST, --look-past LOOK_PAST
                        Look back this many commits. Default 100.
  -v, --version         show program's version number and exit

Examples

  • Input:
$ python nalcos.py "improve language" "github/docs" --github
  • Output:
Found 100 commits.

                                        Commits related to "improve language" in "github/docs"
┏━━━━━┳━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┓
┃ No. ┃ Commit ID ┃ Commit Message                                                        ┃ Commit Author      ┃ Commit Date          ┃
┡━━━━━╇━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━┩
│  1. │ 51bfdbb95 │ Merge branch 'main' into fatenhealy-fix-supportedlanguage             │ Faten Healy        │ 2021-09-12T22:26:31Z │
│  2. │ a9c2c8eea │ fix deprecation label spelling (#21474)                               │ Rachael Sewell     │ 2021-09-13T18:12:03Z │
│  3. │ 94e3c092d │ English search sync (#21446)                                          │ Rachael Sewell     │ 2021-09-13T17:30:08Z │
│  4. │ b048e27e9 │ Merge pull request #9909 from github/fatenhealy-fix-supportedlanguage │ Ramya Parimi       │ 2021-09-12T22:35:19Z │
│  5. │ 73c2717f7 │ Fix typo                                                              │ Adrian Mato        │ 2021-09-13T06:35:27Z │
│  6. │ 86b571982 │ Export changes to a branch for codespaces (#21462)                    │ Matthew Isabel     │ 2021-09-13T14:55:50Z │
│  7. │ 969288662 │ Update diff limit to 500KB (#20616)                                   │ jjkennedy3         │ 2021-09-11T09:12:38Z │
│  8. │ f28ee46d4 │ Update OpenAPI Descriptions (#21447)                                  │ github-openapi-bot │ 2021-09-11T09:22:28Z │
│  9. │ 92af3a469 │ update search indexes                                                 │ GitHub Actions     │ 2021-09-12T09:50:46Z │
│ 10. │ e6018f2aa │ update search indexes                                                 │ GitHub Actions     │ 2021-09-11T02:05:19Z │
└─────┴───────────┴───────────────────────────────────────────────────────────────────────┴────────────────────┴──────────────────────┘

Future plans

Please visit the NaLCoS To Do Project Board to see current status and future plans.

Known issues

Not all retrieved results are always relevant. I could think of two primary reasons for this:

  • The data the model was pre-trained on is not representative of how people write commit messages. Since commit messages usually contain technical jargon, merge commit messages, abbreviations and other non-common terms, the model (which has a limited vocabulary) is not able to generalize well to this data.
  • Two commits may be related even when their commit messages may not be similar and similarly two commit messages maybe unrelated even when their commit messages are similar. We often need more metadata (such as lines changes, files changed) etc. to make the predictions more accurate.

Contributing

Any suggestions, improvements or bug reports are welcome.

Contributors

Thanks goes to these wonderful people (emoji key):


Pushkar Patel

💻 📖 🚧

This project follows the all-contributors specification. Contributions of any kind welcome!

License

This project is licensed under the terms of the MIT license.

Comments
  • Patches

    Patches

    • :truck: Renames .cache directory to models and add Project Board link in README
    • Adds version.py
    • Adds contributing section in README
    • :lipstick: Add black code style
    • Adds back torch cuda support
    • :zap: Improve similarity computation
    • :tada: Upload to PyPi
    opened by thepushkarp 3
  • Version 0.2: Visual changes

    Version 0.2: Visual changes

    • Fix status message typo
    • :sparkles: Adds a flag to show similarity scores of the result
    • :sparkles: Adds an flag to display the entire commit message
    • Module error fixes
    • :sparkles: Adds commit links for results from GitHub
    • :art: Improve download prograss bar display when loading for first time
    • :bookmark: Bump version to 0.2
    opened by thepushkarp 1
  • Add a flag to download the model

    Add a flag to download the model

    Currently, if the model is not downloaded, the program downloads it during the first run, in the middle of the "Retrieving the commits ..." status mesage.

    This can be improved by adding a flag through which the user can download/redownload the model when they need it.

    Additionally, the program should prompt the user when it is run without downloading the weights with a choice to download it now or to abort the program.

    opened by thepushkarp 1
  • Use a Python Wrapper to the GitHub API

    Use a Python Wrapper to the GitHub API

    We can use some Python Wrapper of the GitHub API such as ghapi or PyGitHub instead of using the requests library.

    Additional Reference: https://docs.github.com/en/rest/overview/libraries#python

    This can help with #11

    opened by thepushkarp 1
  • Visual improvements

    Visual improvements

    • :sparkles: Adds a flag to show similarity scores of the result
    • :sparkles: Adds an flag to display the entire commit message
    • Module error fixes
    • :sparkles: Adds commit links for results from GitHub
    opened by thepushkarp 0
  • Add Automated Testing

    Add Automated Testing

    AUtomate the testing of the module (preferably with GitHub Actions for CI).

    NOTE: Considering the large installation size and time of the Torch and HuggingFace modules, the resources allocated may go over the GH Actions limit. This is something we have to take care of.

    Follow up of #13

    opened by thepushkarp 0
  • Adds README and some bug fixes

    Adds README and some bug fixes

    • Adds API limit exceeded warnning
    • :zap: Reverts back to using whole commit msg for serarch; displays only title
    • :memo: Add README
    • :zap: Reduces default value of look_past from 1000 to 100
    • :bug: Retrieves all branch names for GitHub repos and add branch not found Exception
    opened by thepushkarp 0
  • Try out other models.

    Try out other models.

    Currently, we are using multi-qa-MiniLM-L6-cos-v1, which has a speed (sentences encoded/sec on 1 V100 GPU) of 14200 and a model size of 80 MB. We should try out other models to see if we can get better performance and speed out of them.

    Additionally, we can also try using other types of tokenizers.

    Further reading:

    • https://www.sbert.net/docs/pretrained_models.html
    • https://huggingface.co/sentence-transformers
    • https://huggingface.co/transformers/tokenizer_summary.html
    help wanted 
    opened by thepushkarp 0
  • Add personal API token support

    Add personal API token support

    Do #28 before this

    Currently, the project is using an unauthenticated GH API which is capped to 60 requests per hour from an IP address.

    We can add the option to add a user's personal API access token to increase this limit.

    enhancement 
    opened by thepushkarp 0
Releases(v0.2)
  • v0.2(Sep 18, 2021)

    Changelog

    • Adds an option of showing the similarity score for the results using the -s flag.
    • Adds option of viewing the entire commit message instead of just the commit title using the -v flag.
    • Commits in results retrieved from GitHub have links to the commits
    • Improved the model download progress bar display when loading model for the first time
    Source code(tar.gz)
    Source code(zip)
  • v0.1.1(Sep 14, 2021)

    Changelog

    • Make similarity computation more efficient
    • Add support for computation on CUDA
    • Add Black Code style in requirements
    • Published to PyPi at https://pypi.org/project/nalcos/ 🥳
    Source code(tar.gz)
    Source code(zip)
  • v0.1(Sep 13, 2021)

    Features ✨

    • Search commit messages in both local and remote GitHub repositories.
    • Search for commits in a specific branch.
    • Restrict the number of commits to look back in history while searching.
    • Increase the number of retrieved results.
    Source code(tar.gz)
    Source code(zip)
Owner
Pushkar Patel
Research Intern at SPIRE Labs, IISC Bangalore | GitHub Campus Expert @iiitv
Pushkar Patel
Image2pcl - Enter the metaverse with 2D image to 3D projections

Image2PCL Enter the metaverse with 2D image to 3D projections! This is an implem

Benjamin Ho 0 Feb 05, 2022
Th2En & Th2Zh: The large-scale datasets for Thai text cross-lingual summarization

Th2En & Th2Zh: The large-scale datasets for Thai text cross-lingual summarization 📥 Download Datasets 📥 Download Trained Models INTRODUCTION TH2ZH (

Nakhun Chumpolsathien 5 Jan 03, 2022
This github repo is for Neurips 2021 paper, NORESQA A Framework for Speech Quality Assessment using Non-Matching References.

NORESQA: Speech Quality Assessment using Non-Matching References This is a Pytorch implementation for using NORESQA. It contains minimal code to predi

Meta Research 36 Dec 08, 2022
The aim of this task is to predict someone's English proficiency based on a text input.

English_proficiency_prediction_NLP The aim of this task is to predict someone's English proficiency based on a text input. Using the The NICT JLE Corp

1 Dec 13, 2021
Nmt - TensorFlow Neural Machine Translation Tutorial

Neural Machine Translation (seq2seq) Tutorial Authors: Thang Luong, Eugene Brevdo, Rui Zhao (Google Research Blogpost, Github) This version of the tut

6.1k Dec 29, 2022
本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料,该资料目前包含 自然语言处理各领域的 面试题积累。

【关于 NLP】那些你不知道的事 作者:杨夕、芙蕖、李玲、陈海顺、twilight、LeoLRH、JimmyDU、艾春辉、张永泰、金金金 介绍 本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料,该资料目前包含 自然语言处理各领域的 面试题积累。 目录架构 一、【

1.4k Dec 30, 2022
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System

Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System Authors: Yixuan Su, Lei Shu, Elman Mansimov, Arshit Gupta, Deng Cai, Yi-An Lai

Amazon Web Services - Labs 124 Jan 03, 2023
Python powered crossword generator with database with 20k+ polish words

crossword_generator Generate simple crossword puzzle from words and definitions fetched from krzyżowki.edu.pl endpoints -/ string:word - returns js

0 Jan 04, 2022
This repository is home to the Optimus data transformation plugins for various data processing needs.

Transformers Optimus's transformation plugins are implementations of Task and Hook interfaces that allows execution of arbitrary jobs in optimus. To i

Open Data Platform 37 Dec 14, 2022
A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.

MedMCQA MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering A large-scale, Multiple-Choice Question Answe

MedMCQA 24 Nov 30, 2022
Scene Text Retrieval via Joint Text Detection and Similarity Learning

This is the code of "Scene Text Retrieval via Joint Text Detection and Similarity Learning". For more details, please refer to our CVPR2021 paper.

79 Nov 29, 2022
Rank-One Model Editing for Locating and Editing Factual Knowledge in GPT

Rank-One Model Editing (ROME) This repository provides an implementation of Rank-One Model Editing (ROME) on auto-regressive transformers (GPU-only).

Kevin Meng 130 Dec 21, 2022
UniSpeech - Large Scale Self-Supervised Learning for Speech

UniSpeech The family of UniSpeech: WavLM (arXiv): WavLM: Large-Scale Self-Supervised Pre-training for Full Stack Speech Processing UniSpeech (ICML 202

Microsoft 281 Dec 15, 2022
Google AI 2018 BERT pytorch implementation

BERT-pytorch Pytorch implementation of Google AI's 2018 BERT, with simple annotation BERT 2018 BERT: Pre-training of Deep Bidirectional Transformers f

Junseong Kim 5.3k Jan 07, 2023
[EMNLP 2021] LM-Critic: Language Models for Unsupervised Grammatical Error Correction

LM-Critic: Language Models for Unsupervised Grammatical Error Correction This repo provides the source code & data of our paper: LM-Critic: Language M

Michihiro Yasunaga 98 Nov 24, 2022
Codename generator using WordNet parts of speech database

codenames Codename generator using WordNet parts of speech database References: https://possiblywrong.wordpress.com/2021/09/13/code-name-generator/ ht

possiblywrong 27 Oct 30, 2022
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Texar is a toolkit aiming to support a broad set of machine learning, especially natural language processing and text generation tasks. Texar provides

ASYML 2.3k Jan 07, 2023
null

CP-Cluster Confidence Propagation Cluster aims to replace NMS-based methods as a better box fusion framework in 2D/3D Object detection, Instance Segme

Yichun Shen 41 Dec 08, 2022
A curated list of efficient attention modules

awesome-fast-attention A curated list of efficient attention modules

Sepehr Sameni 891 Dec 22, 2022
Code of paper: A Recurrent Vision-and-Language BERT for Navigation

Recurrent VLN-BERT Code of the Recurrent-VLN-BERT paper: A Recurrent Vision-and-Language BERT for Navigation Yicong Hong, Qi Wu, Yuankai Qi, Cristian

YicongHong 109 Dec 21, 2022