findlike is a package to retrieve similar documents
Project description
findlike
findlike is a command-line tool written in Python that retrieves a list of similar files in relation to a reference file or an ad-hoc query. The tool is highly configurable and can be used as backend for other programs (e.g. personal knowledge management systems, Emacs, etc.)
Features:
- Choose between BM25 and TF-IDF + cosine distance for similarity calculation
- Recursive search option
- Control over parameters like maximum number of results, whether to display similarity scores etc.
- Optionally return results in JSON format
- Multilingual support
Table of Contents
Prerequisites
- Python 3.8 or higher
- Additional dependencies as listed in the
requirements.txtfile
Installation
Using pip (single user)
To install findlike for your user only, run the following command in your terminal:
pip install --user findlike
Using pip and virtual environments
Or, if you wish to install findlike in a new virtual environment, first create and activate the environment:
python -m venv <virtual environment directory>
source <virtual environment directory>/bin/activate
Then run pip install findlike (without the --user flag).
Manual installation from source
Lastly, if you prefer to install findlike from this repository instead of fetching the package from PyPI:
# Clone this repository
git clone https://github.com/brunoarine/findlike.git
# Navigate into the findlike directory
cd findlike
# Install it as a Python package using `pip`:
pip install -e .
Optionally, you can create an alias for the findlike command to be accessible without activating its virtual environment:
# Replace .bashrc with .zshrc depending on your shell environment.
echo "alias findlike='/path/to/findlike/venv/bin/findlike'" >> ~/.bashrc
source ~/.bashrc
Usage
Here is the basic usage of findlike:
findlike [OPTIONS] [REFERENCE_FILE]
findlike works with either a reference file or a --query option. Once the reference text is set, findlike will scan a given directory (default is the current working dir), and return the most similar documents against the reference.
Options
Here's the breakdown of the available options in Findlike:
--version Show the version and exit.
-q, --query TEXT query option if no reference file is provided
-d, --directory PATH directory to scan for similar files [default:
(current directory)]
-f, --filename-pattern TEXT filename pattern matching [default: *.*]
-R, --recursive recursive search
-a, --algorithm [bm25|tfidf] text similarity algorithm [default: tfidf]
-l, --language TEXT stemmer and stopwords language [default:
english]
-c, --min-chars INTEGER minimum document size (in number of
characters) to be considered [default: 1]
-A, --absolute-paths show absolute rather than relative paths
-m, --max-results INTEGER maximum number of results [default: 10]
-p, --prefix TEXT result lines prefix
-s, --show-scores show similarity scores
-h, --hide-reference remove REFERENCE_FILE from results
-H, --heading TEXT results list heading
-F, --format [plain|json] output format [default: plain]
-t, --threshold FLOAT minimum score for a result to be shown
[default: 0.0]
--help Show this message and exit.
Examples
To find similar documents in a directory (recursively):
findlike -R -d /path/to/directory reference_file.md
To search files using a query instead of a reference file while filtering by extension:
findlike -q "black holes" -d /path/to/ayreon/lyrics -f "*.txt"
To show similarity scores and filenames in JSON format:
findlike -s -F json reference_file.md
To print the results table as a Markdown list:
findlike -H "# List of similar documents" -p "- " reference_file.txt
Development
To contribute to this tool, first checkout the code. Then create a new virtual environment:
cd findlike
python -m venv venv
source venv/bin/activate
Now install the development dependencies:
pip install -e '.[dev]'
To run the tests:
pytest
License
This project is licensed under the terms of the MIT license. See LICENSE for more details.
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