FERElight
Project description
FERElight | ˈferēlīt |
Extremely lightweight and purpose-built feature extraction and retrieval engine (FERE).
Installation
From PyPI
pip install ferelight
From Source
pip install git+https://github.com/FEREorg/ferelight.git
Usage
To configure the pgvector PostgreSQL connection, create a file config.json in the root directory with the following content:
{
"DBHOST": "<host>",
"DBPORT": "<port>",
"DBUSER": "<user>",
"DBPASSWORD": "<password>"
}
To run the server, please execute the following from the root directory:
pip3 install -r requirements.txt
python3 -m ferelight
Running with Docker
To run the server on a Docker container, please execute the following from the root directory:
# building the image
docker build -t ferelight .
# starting up a container
docker run -p 8080:8080 ferelight
Development
Releasing New Versions
To release a new version to PyPI:
- Update the version number in
setup.py - Create a new GitHub release or tag with a version number (e.g.,
v1.0.1) - The GitHub Actions workflow will automatically build and publish the package to PyPI
Project details
Release history Release notifications | RSS feed
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File details
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The following attestation bundles were made for ferelight-1.0.0-py3-none-any.whl:
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Branch / Tag:
refs/tags/v1.0.0 - Owner: https://github.com/FEREorg
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@f80868879b9d77d5d1dfecb377ace21299982fc9 -
Trigger Event:
release
-
Statement type: