Coder Social home page Coder Social logo

ank-22 / mdapi Goto Github PK

View Code? Open in Web Editor NEW

This project forked from gridhead/mdapi

0.0 0.0 0.0 454 KB

A simple and fast API for serving the metadata from the RPM repositories

License: GNU General Public License v3.0

Shell 0.18% Python 91.36% HTML 7.94% Dockerfile 0.52%

mdapi's Introduction

mdapi

A simple and fast API for serving the metadata from the RPM repositories

Installation

For development

  1. Install Python 3, Virtualenv and Poetry on your Fedora Linux installation.
    $ sudo dnf install python3 python3-virtualenv poetry
    
  2. Clone the repository to your local storage and make it your present working directory.
    $ git clone [email protected]:t0xic0der/mdapi.git
    $ cd mdapi
    
  3. Set up and activate a virtual environment within the directory of the cloned repository.
    $ virtualenv venv
    $ source venv/bin/activate
    
  4. Check the validity of the project configuration and install the project dependencies from the lockfile.
    $ (venv) poetry check
    $ (venv) poetry install
    

For container image

  1. Install Podman on your Fedora Linux installation.
    $ sudo dnf install podman
    
  2. Ensure that
    1. The project directory is the present working directory.
    2. The virtual environment with the project is activated, following the instructions provided in the development installation section.
    3. The project configuration is modified according to needs in myconfig.py file, following the instructions provided in the configuration setup section.
  3. Execute the following command to build the container image.
    $ (venv) podman build -t "mdapi:$(poetry version -s)" .
    

Usage

In development

Viewing the help message and version

  1. Ensure that
    1. The project directory is the present working directory.
    2. The virtual environment with the project is activated, following the instructions provided in the development installation section.
  2. Execute the following command to view the help message.
    $ (venv) mdapi --help
    
    Output
    Usage: mdapi [OPTIONS] COMMAND [ARGS]...
    
      A simple API for serving the metadata from the RPM repositories
    
    Options:
      -c, --conffile PATH  Read configuration from the specified Python file
      --version            Show the version and exit.
      --help               Show this message and exit.
    
    Commands:
      database  Fetch SQLite databases from all active Fedora Linux and EPEL...
      serveapp  Start the API server for querying repository metadata
    
  3. Execute the following command to view the project version.
    $ (venv) mdapi --version
    
    Output
    mdapi, version 3.0.0
    

Testing the project

  1. Ensure that
    1. The project directory is the present working directory.
    2. The virtual environment with the project is activated, following the instructions provided in the development installation section.
    3. The storage partition on which test database directory is located has at least 1.5 GiB of free space.
  2. Execute the following command to run the code quality checks and testcases.
    $ (venv) tox
    

Setting up the configuration

  1. Ensure that
    1. The project directory is the present working directory.
  2. Make a copy of the default configuration on your local storage.
    $ cp mdapi/confdata/standard.py mdapi/confdata/myconfig.py
    
  3. Make changes to the copied configuration file to suit the requirements.
    $ nano confdata/myconfig.py
    

Fetching the databases

  1. Ensure that
    1. The project directory is the present working directory.
    2. The virtual environment with the project is activated, following the instructions provided in the development installation section.
    3. The storage partition on which database directory is located has at least 6 GiB of free space.
  2. Execute the following command to start fetching the database, while referencing to the modified configuration file.
    $ (venv) mdapi --conffile myconfig.py database
    
  3. Note that the first run of the database fetching command will take a long time, depending on the internet connection.

Serving the application

  1. Ensure that
    1. The project directory is the present working directory.
    2. The virtual environment with the project is activated, following the instructions provided in the development installation section.
  2. Execute the following command to start serving the application, while referencing to the modified configuration file.
    $ (venv) mdapi --conffile myconfig.py serveapp
    
  3. When done with serving the application, press Ctrl + C to raise a KeyboardInterrupt and exit out of the program.

In container or pod

Serving the application

  1. Ensure that
    1. The project directory is the present working directory.
    2. The virtual environment with the project is activated, following the instructions provided in the development installation section.
    3. The container image is built and available locally.
    4. The databases are downloaded to the database directory, following the instructions provided in the database fetching section.
  2. Execute the following command to start the serving the application.
    $ (venv) podman run -v /var/tmp:/var/tmp -p 8080:8080 -ti mdapi:$(poetry version -s)
    
    This command assumes that the database directory is /var/tmp (which is the default) and the service port is 8080 (which is the default).

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.