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 git@github.com: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
3. The project directory is the present working directory.
4. The virtual environment with the project is activated, following the instructions provided in the development installation section.
5. The project configuration is modified according to needs in myconfig.py file, following the instructions provided in the configuration setup section.
6. 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
2. The project directory is the present working directory.
3. The virtual environment with the project is activated, following the instructions provided in the development installation section.

4. 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
2. The project directory is the present working directory.
3. The virtual environment with the project is activated, following the instructions provided in the development installation section.
4. The storage partition on which test database directory is located has at least 1.5 GiB of free space.
5. Execute the following command to run the code quality checks and testcases. $ (venv) tox

Setting up the configuration

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

Fetching the databases

1. Ensure that
2. The project directory is the present working directory.
3. The virtual environment with the project is activated, following the instructions provided in the development installation section.
4. The storage partition on which database directory is located has at least 6 GiB of free space.
5. Execute the following command to start fetching the database, while referencing to the modified configuration file. $ (venv) mdapi --conffile myconfig.py database
6. 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
2. The project directory is the present working directory.
3. The virtual environment with the project is activated, following the instructions provided in the development installation section.
4. Execute the following command to start serving the application, while referencing to the modified configuration file. $ (venv) mdapi --conffile myconfig.py serveapp
5. 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
2. The project directory is the present working directory.
3. The virtual environment with the project is activated, following the instructions provided in the development installation section.
4. The container image is built and available locally.
5. The databases are downloaded to the database directory, following the instructions provided in the database fetching section.
6. 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).