mass-pagure-prs

Created 6 years ago
Maintained by ishcherb
A library to do mass Pagure pull requests
Members 1
Iryna Shcherbina committed 6 years ago

Mass Pagure Pull Requests tool

This library provides tools to to do mass changes within Fedora packages' spec files and create Pagure pull requests for them.

Example Usage

from mass_pagure_prs import BasePRsGenerator


class PagurePRsGenerator(BasePRsGenerator):

    def modify_spec(self, specfile):
        """Modify a spec file and return a modified version.

        Args:
            specfile (str): A spec file as a string.

        Return:
            (str) A modified spec file.
        """
        # Do things with a spec file and return a
        # modified spec file as a string.

    def check_mock_build_results(self, output):
        """Given the output of the mock build check the result."""
        # Optional, can be skipped. Enables checking mock build
        # results/logs/created rpms if mock build is ran for packages.

    def check_koji_scratch_build_results(self, output):
        """Given the output of the Koji scratch build check the result."""
        # Optional, can be skipped. Enables checking Koji scratch build
        # results if Koji scratch build is ran for packages.


def main():
    prs_generator = PagurePRsGenerator(
        packages_filename='packages.txt',
        output_dirname='/tmp/pagure_prs',
        dry_run=False,
        pagure_token='pagure_token',
        pagure_user='pagure_user',
        fas_user='fas_user',  # will not be needed with Pagure 4.0.0
        fas_password='fas_password',  # will not be needed with Pagure 4.0.0
    )

    # Set branch name and texts for commit messages, PR description etc.
    prs_generator.configure(
        git_branch='sample_branch',
        changelog_entry='sample message',
        commit_message='sample message',
        pr_title='sample message',
        pr_description='sample message'
    )

    # Open PRs.
    # Receive the list of links to opened PRs if not in dry run.
    prs = prs_generator.run(do_mock_build=True, do_koji_scratch_build=False)