151 lines
7.7 KiB
R
151 lines
7.7 KiB
R
#library(tidyverse)
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library(dplyr)
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library(lubridate)
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library(tidyr)
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library(purrr)
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ve_commit_fp <- "/mmfs1/gscratch/comdata/users/mjilg/mw-repo-lifecycles/case1/mediawiki_core_commits.csv"
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transform_commit_data <- function(filepath){
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#basic, loading in the file
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df = read.csv(filepath, header = TRUE)
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temp_df <- df
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dir_path = dirname(filepath)
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file_name = basename(filepath)
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# TODO: this is project/event specific
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event_date <- as.Date("2013-07-01")
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#event_date <- as.Date("2013-04-28")
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#event_date <- as.Date("2012-12-12")
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# isolate project id
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project_id <- sub("_.*$", "", file_name)
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#make sure the dates are formatted correctly and state the project_id
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df <- df |>
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mutate(commit_date = ymd_hms(commit_date)) |>
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mutate(project_id = project_id)
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#get information about project age either in the "present"
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#or at the time of first commit
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oldest_commit_date <- min(as.Date(df$commit_date))
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project_age <- as.numeric(as.Date("2025-02-10") - oldest_commit_date)
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#add that to the data
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df <- df |>
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mutate(age = project_age)
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#we are looking at weekly data, 6m before and 6m after
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#start_date <- event_date %m-% months(6)
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calculated_start_date <- event_date %m-% months(12)
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start_date <- max(calculated_start_date, oldest_commit_date)
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end_date <- event_date %m+% months(12)
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#getting the relative weeks to the publication date
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relative_week <- function(date, ref_date) {
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as.integer(as.numeric(difftime(date, ref_date, units = "days")) %/% 7)
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}
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df <- df |>
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mutate(relative_week = relative_week(commit_date, event_date)) |>
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arrange(relative_week) |>
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group_by(author_email) |>
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mutate(first_commit_date = first(commit_date),
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new_author = as.numeric(difftime(commit_date, first_commit_date, units = "days") <= 7),
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new_author_wmf = if_else(grepl("@wikimedia", author_email), new_author, 0),
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new_author_unaff = if_else(!grepl("@wikimedia", author_email), new_author, 0)) |>
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ungroup()
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#filler for when there are weeks without commits
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all_weeks <- seq(relative_week(start_date, event_date), relative_week(end_date, event_date))
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complete_weeks_df <- expand.grid(relative_week = all_weeks,
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project_id = project_id,
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age = project_age)
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#for each week, get the list of unique authors that committed
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#cumulative_authors <- df %>%
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# arrange(relative_week) %>%
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# group_by(relative_week) %>%
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# summarize(cumulative_author_emails = list(unique(author_email)), .groups = 'drop')
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#same for each committer
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#cumulative_committers <- df %>%
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# arrange(relative_week) %>%
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# group_by(relative_week) %>%
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# summarize(cumulative_committer_emails = list(unique(committer_email)), .groups = 'drop')
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#now cut out the commit data that we don't care about
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df <- df |>
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filter(author_email != "jenkins-bot@gerrit.wikimedia.org")
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#in order:
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# - we group by project, week, ages
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# - and we summarize commit and authorship details
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# - we then fill in information for missingness
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# - and add in vars for before/after
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# - and weekly index
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weekly_commits <- df |>
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group_by(project_id, relative_week, age) |>
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summarise(commit_count = n(),
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author_emails = list(unique(author_email)),
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committer_emails = list(unique(committer_email)),
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mediawiki_dev_commit_count = sum(grepl("@users.mediawiki.org", author_email)),
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wikimedia_commit_count = sum(grepl("@wikimedia", author_email)),
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wikia_commit_count = sum(grepl("@wikia-inc.com", author_email)),
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bot_commit_count = sum(grepl("l10n-bot@translatewiki.net|tools.libraryupgrader@tools.wmflabs.org", author_email)),
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wmf_ft_commit_count = sum(new_author_wmf),
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unaff_ft_commit_count = sum(new_author_unaff),
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.groups = 'drop') |>
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right_join(complete_weeks_df, by=c("relative_week", "project_id", "age")) |>
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replace_na(list(commit_count = 0)) |>
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replace_na(list(wikimedia_commit_count = 0)) |>
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replace_na(list(l10n_commit_count = 0)) |>
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replace_na(list(jenkins_commit_count = 0)) |>
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replace_na(list(mediawiki_dev_commit_count = 0)) |>
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replace_na(list(wikia_commit_count = 0)) |>
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replace_na(list(wmf_ft_commit_count = 0)) |>
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replace_na(list(unaff_ft_commit_count = 0)) |>
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mutate(before_after = if_else(relative_week < 0, 0, 1)) |>
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select(-author_emails, -committer_emails)
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# then, to get the authorship details in
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# we check if the email data is present, if not we fill in blank
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# we bring in the information about authorship lists that we already had
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# then comparing the current week's author list with the previous week's cumulative list, or empty
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# ---- the length of that difference is the 'new' value
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# then we delete out the author list information
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#weekly_with_authorship <- weekly_commits |>
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# mutate(
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# author_emails = ifelse(is.na(author_emails), list(character()), author_emails),
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# committer_emails = ifelse(is.na(committer_emails), list(character()), committer_emails)
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# ) |>
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# left_join(cumulative_authors, by = "relative_week") |>
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# left_join(cumulative_committers, by = "relative_week") |>
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# mutate(new_author_emails = mapply(function(x, y) length(setdiff(x, y)), author_emails, lag(cumulative_author_emails, default = list(character(1)))),
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# new_committer_emails = mapply(function(x, y) length(setdiff(x, y)), committer_emails, lag(cumulative_committer_emails, default = list(character(1)))))
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#weekly_with_authorship <- weekly_with_authorship |>
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# mutate(
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# wikimedia_author_emails = mapply(function(x) length(grep("@wikimedia|@users.mediawiki.org|@wikia-inc.com", x)), author_emails),
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# non_wikimedia_author_emails = mapply(function(x) length(x) - length(grep("@wikimedia|@users.mediawiki.org|@wikia-inc.com", x)), author_emails),
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# wikimedia_committer_emails = mapply(function(x) length(grep("@wikimedia|@users.mediawiki.org|@wikia-inc.com", x)), committer_emails),
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# non_wikimedia_committer_emails = mapply(function(x) length(x) - length(grep("@wikimedia|@users.mediawiki.org|@wikia-inc.com", x)), committer_emails),
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# new_wikimedia_authors = mapply(function(x, y) length(setdiff(grep("@wikimedia|@users.mediawiki.org|@wikia-inc.com", x, value = TRUE), grep("@wikimedia|@users.mediawiki.org|@wikia-inc.com", y, value = TRUE))), author_emails, lag(cumulative_author_emails, default = list(character(1)))),
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# new_non_wikimedia_authors = mapply(function(x, y) length(setdiff(x, y)) - length(setdiff(grep("@wikimedia|@users.mediawiki.org|@wikia-inc.com", x, value = TRUE), grep("@wikimedia|@users.mediawiki.org|@wikia-inc.com", y, value = TRUE))), author_emails, lag(cumulative_author_emails, default = list(character(1)))),
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# new_wikimedia_committers = mapply(function(x, y) length(setdiff(grep("@wikimedia|@users.mediawiki.org|@wikia-inc.com", x, value = TRUE), grep("@wikimedia|@users.mediawiki.org|@wikia-inc.com", y, value = TRUE))), committer_emails, lag(cumulative_committer_emails, default = list(character(1)))),
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# new_non_wikimedia_committers = mapply(function(x, y) length(setdiff(x, y)) - length(setdiff(grep("@wikimedia|@users.mediawiki.org|@wikia-inc.com", x, value = TRUE), grep("@wikimedia|@users.mediawiki.org|@wikia-inc.com", y, value = TRUE))), committer_emails, lag(cumulative_committer_emails, default = list(character(1))))
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# ) |>
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weekly_commits <- weekly_commits |>
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filter(relative_week >= (-52) & relative_week <= 52 )
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#gracefully exit
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return(weekly_commits)
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}
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transformed <- transform_commit_data(ve_commit_fp)
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output_filepath <-"/mmfs1/gscratch/comdata/users/mjilg/mw-repo-lifecycles/case1/event_0312_mediawiki_core_weekly_commit_count_data.csv"
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write.csv(transformed, output_filepath, row.names = FALSE)
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