Fetch issue-author data (github_issue_authors(), for many repos, with intermediate batches dumped to disk.

Completed repos are tracked in <out_dir>/issue-authors-done.rds, and that file is read on re-start. Each batch is fetched concurrently via progressify/futurize).

Usage

fetch_issue_authors(repo_urls, out_dir, batch_size = 50L)

Arguments

repo_urls: Character vector of repo URLs to fetch issue authors for. Assumed already ordered by priority if it matters which get fetched first (see interlace_for_even_coverage()).
out_dir: Directory to read/write the CSV + done-list checkpoint files.
batch_size: Repos fetched (concurrently) per checkpoint.

Value

A tibble with columns repo_url, issue_number, author, created_at, n_comments, contribution, repo_created_at, last_updated - the full accumulated result, including rows from any previous run(s).

Details

Batches are drawn via interlace_for_even_coverage() rather than sequentially, so that the fetched subsample stays evenly spread across repo_urls's intrinsic order.

Examples

repo_urls <- c (
    "https://github.com/ropensci/targets",
    "https://github.com/ropensci/drake"
)
if (FALSE) { # \dontrun{
issue_authors_tbl <- fetch_issue_authors (repo_urls, "path/to/repo-data-out")
} # }